SUDAN
           Country Economic Memorandum

Realizing the Potential for
 Diversified Development
               SUDAN
COUNTRY ECONOMIC MEMORANDUM
     Realizing the Potential for
     Diversified Development

       Sudan Country Economic Memorandum

               September 30, 2015
                                                                                                         TABLE OF CONTENTS


Acknowledgements......................................................................................................................................... vii

List of Abbreviations......................................................................................................................................... ix

Summary of Findings and Policy Conclusions.................................................................................................. xi

Chapter 1: What Kind of Growth and Diversification Suits Sudan? .................................................................1
 A. Pathways to the Future: Economic and Sectoral Scenarios to 2030................................................................... 2
 B.  Components of Inclusive Growth..................................................................................................................... 9
     a.  Ingredients for growth.................................................................................................................................... 9
     b.  Components of pro-poor growth..................................................................................................................... 14
 C. Institutions are Critical to the Diversification of the Endowment Base of the Economy.................................. 16
     a.  Ability to manage natural resource rents......................................................................................................... 17
     b.  Ability to provide public services.................................................................................................................... 25
     c.  Ability to regulate economic activity............................................................................................................... 35
 D. Lessons for Sudan: Growing Endowments and the Production Base............................................................... 40
     a. Macroeconomic management crucial for economic growth................................................................................ 41
     b. Agriculture and livestock: important for inclusive growth................................................................................. 41
     c. Goods and services trade to build endowments................................................................................................. 43
     d. Extractive industries: still important, but less dominant................................................................................... 43

Chapter 2:  Structural Change and the Role of the Real Exchange Rate for Exports and Growth.....................45
 A. Structural Change: Evidence from the Labor Market...................................................................................... 45
 B. The Role of the Exchange Rate........................................................................................................................ 55
 C. Volatile and High Inflation: Important Determinant of the Real Exchange Rate.............................................. 62

Chapter 3:  Agriculture and Livestock: Key for Economic Diversification........................................................67
 A. Overview........................................................................................................................................................ 68
 B. Production...................................................................................................................................................... 74
 C.  Markets and Trade......................................................................................................................................... 83
 D. Agricultural Support...................................................................................................................................... 91

Chapter 4:  Goods and Services Trade to Build Endowments .........................................................................95
 A. Goods Trade................................................................................................................................................... 95
    a. Overview.................................................................................................................................................... 96
    b.  Export orientation and growth.................................................................................................................... 100
    c.  Export diversification and survival.............................................................................................................. 105
iv      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




        B. Services Trade............................................................................................................................................... 108
            a. Overview.................................................................................................................................................. 108
            b.  Trade-in-Services in Sudan......................................................................................................................... 109
            c. Professional services matter for Sudan’s growth............................................................................................... 112
        C. Potential for Future Trade Diversification: Goods and Services..................................................................... 116

     Chapter 5:  Extractive Industries: Still Important but no Longer Dominant ..................................................125
      A. Overview...................................................................................................................................................... 125
      B. Sudan’s Oil Sector......................................................................................................................................... 126
      C. Sudan’s Gold Sector..................................................................................................................................... 134
      D. Combined Implications of Oil and Mining................................................................................................... 145

     Annexes........................................................................................................................................................149
       Annex 1: MAMS Model: Structure, Data and Assumptions................................................................................ 149
       Annex 2: Determinants of Savings in Sudan....................................................................................................... 161
       Annex 3: Timeline of U.S. Sanctions Against Sudan........................................................................................... 163
       Annex 4: Additional Details on RER Calculations and Theoretical Considerations............................................. 165
       Annex 5: Financial Soundness Indicators for the Banking Sector, 2006–13....................................................... 168
       Annex 6: Additional Information for Export Performance Analysis.................................................................... 169

     References.....................................................................................................................................................177

     List of Figures
     Figure S.01:	Base Simulation: Selected Macro Indicators (Index; 2012 = 100)...................................................... xviii
     Figure S.02:	Base Simulation: Aggregated Sector GDP (Index; 2012 = 100).......................................................... xviii
     Figure S.03:	Real Exchange Rate and Export Quantity (index Base = 100).............................................................. xix
     Figure S.04:	Poverty Rate in 2012 and Various Scenarios......................................................................................... xx
     Figure S.05:	Growth Decomposition of Production Factors in Sudan, 1989–2012.................................................. xxi
     Figure S.06:	Employment by Sector....................................................................................................................... xxii
     Figure S.07:	Average Annual Inflation in Sudan, 1999–2014................................................................................. xxii
     Figure S.08:	Fiscal Revenues and Composition (SDG mn).................................................................................... xxiii
     Figure S.09:	Overall Budget Deficit, 1991–2013................................................................................................... xxiv
     Figure S.10:	Sudan’s RER Misalignment................................................................................................................. xxv
     Figure S.11:	Sudan’s Official and Market Exchange Rate (SDG/USD)..................................................................... xxv
     Figure S.12:	Sudan’s Wheat Yields in Perspective.................................................................................................. xxvi
     Figure S.13:	Herfindahl-Hirschman Index at the Products Level, Sudan and Selected Countries.......................... xxvii
     Figure S.14:	Sudan’s Wheat Import Price in Perspective (USD/ton)....................................................................... xxix
     Figure S.15:	Livestock Export Value by Subsectors (USD mn)............................................................................... xxx
     Figure S.16:	Sudanese Products with Larger World Market Shares, 2013.............................................................xxxiv
     Figure S.17:	Doing Business 2014: Ranking by Component, Sudan and Selected Countries................................xxxvi
     Figure S.18:	Trading Across Borders Indicator 2014, Sudan and Selected Countries............................................xxxvi
     Figure S.19:	Projected Domestic Crude Oil Production, Bpd..............................................................................xxxvii
     Figure S.20:	Contribution of Natural Resources to Sudan‘s Economy.................................................................xxxviii
     Figure S.21:	Export Volumes of Gold Correlated with the Price (Index 2004 = 100)...........................................xxxix
                                                                                                                                     Table of Contents              v




Figure 1.1:	 Model Base Scenarios: Selected Indicators, 2012 to 2030....................................................................... 5
Figure 1.2:	 Model Alternative Scenarios: Selected Indicators, 2012 to 2030............................................................. 7
Figure 1.3:	 Fiscal Policy and Public Debt............................................................................................................... 19
Figure 1.4:	 Savings Rates in Sudan, 1991–2013..................................................................................................... 22
Figure 1.5:	 Savings and Investment Rates in Sudan and Selected Countries........................................................... 23
Figure 1.6:	 Economic Activity................................................................................................................................ 27
Figure 1.7:	 Health and Education Spending and Outcomes in Sudan..................................................................... 32
Figure 1.8:	 Business Enabling Environment........................................................................................................... 37
Figure 1.9:	Two Approaches to Diversify an Economy........................................................................................... 40
Figure 2.1:	Illustration of Structural Change in an Economy.................................................................................. 45
Figure 2.2:	 Structural Change through Sector Decomposition of GDP ................................................................... 46
Figure 2.3:	 Demographics and Education in Sudan................................................................................................ 48
Figure 2.4:	 Employment and Labor Force Participation in Sudan........................................................................... 50
Figure 2.5:	 Sudan’s RER Misalignment in Perspective of other African Oil Exporting Countries............................. 57
Figure 2.6:	 Undervaluation and Export Growth, Selected Countries...................................................................... 59
Figure 2.7:	 Inflation, Monetary and Financial Sector Developments....................................................................... 64
Figure 3.1:	 Overview of Agriculture in Sudan........................................................................................................ 72
Figure 3.2:	 Agriculture Yields in Sudan, Sorghum and Millet................................................................................. 76
Figure 3.3:	 Agriculture Yields in Sudan, Wheat, Oil Seeds, Gum Arabic, Cotton and Livestock............................. 78
Figure 3.4:	 Sudan’s Agriculture Exports: Livestock, Sesame, Gum Arabic, Wheat and Cotton................................ 85
Figure 3.5:	 Sudan’s Agriculture Imports: Wheat and Sugar.................................................................................... 91
Figure 3.6:	 Sudan’s Agriculture Input Imports....................................................................................................... 92
Figure 4.1:	 Exporter Base and Size, Sudan and Selected other Countries................................................................ 97
Figure 4.2:	 Sudan’s Export Performance Overview................................................................................................. 99
Figure 4.3:	 Export Growth and Orientation......................................................................................................... 104
Figure 4.4:	 Export Concentration and Survival.................................................................................................... 107
Figure 4.5:	 Trade-in-Services in Sudan................................................................................................................. 111
Figure 4.6:	 Professional Services in Sudan............................................................................................................ 114
Figure 4.7:	 (Export) Diversification – Past and Present......................................................................................... 119
Figure 5.1:	 Sudan’s Oil Sector: Production, Trade and Flows............................................................................... 128
Figure 5.2:	Key Oil Infrastructure in Sudan (and South Sudan)........................................................................... 129
Figure 5.3:	 Sudan’s Mineral Sector: Production, Trade and Flows........................................................................ 136
Figure 5.4:	Contribution of Oil and Minerals to Sudan’s Economy....................................................................... 146
Figure 0.1:	 Aggregate Payment Flows in MAMS................................................................................................... 149
Figure 0.2:	 The Labor Market in MAMS............................................................................................................... 151
Figure 0.3:	 Savings Rates in Sudan, 1991–2013................................................................................................... 162

List of Tables
Table S.01:	 Sudan’s Performance Vis-à-Vis the Ingredients of Growth................................................................... xxi
Table S.02:	 Summary of Main Findings and Recommendations............................................................................... xl
Table 1.1:	 Major Ingredients to Growth and Sudan’s Record................................................................................ 12
Table 1.2:	 Simulations of Savings and Growth Rates for Turkey........................................................................... 24
Table 2.1:	Age Composition of the Population in Sudan....................................................................................... 47
vi      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     Table 2.2:	 Dependency Ratios in Sudan................................................................................................................ 47
     Table 2.3:	 Education and Employment Status, Percent of Total............................................................................ 52
     Table 2.4:	 Education Breakdown of Employment by Economic Sector, Percent of Total....................................... 53
     Table 2.5:	 Annual Value-Added (VA) Per Worker by Sector (US$)....................................................................... 54
     Table 2.6:	 Distribution of Daily Wages by Industrial Sector (US$)........................................................................ 55
     Table 2.7:	 Effects of Undervalued RERs on Export and Output Growth Sudanese Data........................................ 60
     Table 2.8:	 Structure of the Financial Sector in Sudan............................................................................................ 63
     Table 3.1:	 Vaccination and Inspection Regime for Sheep Exports......................................................................... 84
     Table 3.2:	 Modern Grain Storage in Sudan, 2013................................................................................................. 89
     Table 4.1:	 Change in Sudan’s Shares of Exports by Broad Productive Sectors, 2007–2012................................. 100
     Table 4.2:	 Sudan’s Total Exports Across Aggregate Destinations, 1996–2013..................................................... 101
     Table 4.3:	 Destinations of Sudan’s Primary Non-Crude Oil Exports.................................................................... 103
     Table 4.4:	 Manufactured Exports of Significance in the pre-Oil Period............................................................... 120
     Table 5.1:	 Main Elements of the Mining Fiscal Regime for Industrial Mines........................................................ 142
     Table 0.1:	 Disaggregation of Sudan MAMS......................................................................................................... 152
     Table 0.2:	 Macro SAM for Sudan, 2012 (% of GDP)........................................................................................... 153
     Table 0.3:	Value-Added, Consumption, and Trade Elasticities............................................................................ 154
     Table 0.4:	 Definitions of Non-Base Scenarios...................................................................................................... 155
     Table 0.5:	 Real Macro Indicators by Simulation (%annual Growth 2013–2030)................................................. 156
     Table 0.6:	 Macro Indicators in 2012 and by Simulation in 2013 (% of GDP)...................................................... 157
     Table 0.7:	Government Receipts and Spending in 2012 and by Simulation in 2030 (% of Nominal GDP).......... 157
     Table 0.8:	 Balance of Payments in 2012 and by Simulation in 2030 (% of Nominal GDP).................................. 158
     Table 0.9:	 Real GDP at Factor Cost in 2012 and Growth by Simulation (% Annual Growth).............................. 158
     Table 0.10:	 Sector Structure in 2012 and by Simulation in 2013 (% of GDP)....................................................... 159
     Table 0.11:	Panel Estimation Effect on Exports Growth of Undervaluation........................................................... 166
     Table 0.12:	 Undervalued RERs and Export Growth.............................................................................................. 167
     Table 0.13:	 Undervalued RERs and Output Growth............................................................................................. 167
     Table 0.14:	Change in Sudan’s Shares of Exports, Main Export Products at HS-6 Level, 2007–2012.................... 169
     Table 0.15:	 Joint Distribution of Sudan’s Exporters Across Products and Destinations.......................................... 169
     Table 0.16:	 Sudan Exports in Product Space Framework, 1991–2011.................................................................. 173

     List of Boxes
     Box 1.1:	 Sudan’s Experience with the Oil Revenue Stabilization Account (ORSA).............................................. 18
     Box 3.1:	 Land Tenure and Land Policy............................................................................................................... 70
     Box 3.2:	 Studying the Rehabilitation of the Gezira Scheme................................................................................ 73
     Box 3.3:	 Recent Policy Changes in Gum Arabic and Their Impact...................................................................... 81
     Box 3.4:	 Food Security, Wheat Self-Sufficiency, and State-Level Grain Storage.................................................. 89
     Box 4.1:	 Main Findings of the Sudan DTIS Update............................................................................................ 98
     Box 4.2:	 Tourism in Sudan: Great Potential, Great Challenges......................................................................... 110
     Box 4.3:	 Domestic Regulation in Professional Services in Sudan....................................................................... 117
     Box 4.4:	Product Space: Classics, Emerging Champions, Disappearance, Marginals......................................... 118
     Box 5.1:	How Many Artisanal and Small Scale (ASM) Gold Miners are There?................................................. 138
     Box 5.2:	 State-Sponsored Gold-Buying Programs............................................................................................. 140
                                                               ACKNOWLEDGEMENTS



T
       he World Bank greatly appreciates the close      (Economist, DECHD) on the Sudanese labor market;
       collaboration with the Government of Sudan       Omar Lyasse (Sr. Agricultural Economist, GFADR),
       in the preparation of this Country Economic      Imad Yousif (Consultant, GMFDR), and Joseph
Memorandum. The team is grateful for the support        Goldberg (Consultant, GMFDR) on agriculture sec-
received, especially the Ministry of Finance and        tor analysis; Michael Ferrantino (Lead Economist,
National Economy, to carry out the analysis and         GTCDR) and Gabriela Schmidt (Consultant,
provide feedback and comments on preliminary            GTCDR) on summary analysis of export performance;
findings during the CEM Seminar in Khartoum             Nora Dihel (Sr. Economist, GTCDR) on trade in ser-
in December 2014 and the Annual Economic                vices; Ana Fernandes (Sr. Economist, DECTI) and
Conference in June 2015.                                Esteban Ferro (Consultant, DECTI) on exporter level
    Preparation took place in 2014/15 and included      analysis; Bill Battaile (Sr. Economist, GMFDR) on
several missions to Sudan for first-hand consultation   product space brief; and Bryan Land on the contri-
and stakeholder discussions with representatives        bution of oil, gold and other mineral wealth. Mosllem
in Khartoum and other parts of Sudan: (1) Mission       Alamir (Sr. Economist, GMFDR) and Saef Ibrahim
on Agriculture (March/April 20–14), (2) Mission         (Consultant, GMFDR), both Khartoum-based, pro-
on Gold and Mining (May 2014), (3) Mission on           vided local advice, supported data gathering, and
Industrialization and Trade Development (May 2014),     helped in-country follow-up to various teams and
and (4) Seminar on Preliminary Findings of Background   missions.
Papers (December 2014). The team is grateful to             The report was prepared under the overall
the Government of Sudan and the World Bank’s            guidance of Albert Zeufack (Practice Manager,
Khartoum office for excellent logistical support to     GMFDR), Bella Bird (Country Director, AFCE4),
make those missions happen.                             and Paolo Zacchia (Program Leader, AFCE4). Pablo
    The report was prepared by a team led by            Fajnzylber (Practice Manager, GPVDR) provided
Michael Geiger (Sr. Country Economist, GMFDR).          guidance and support particularly at concept and
The report benefitted from background papers and        the early preparation phase. Kevin Carey (Lead
inputs prepared by (in the order of the report’s        Economist, GMFDR) commented at various stages
outline): Hans Lofgren on alternative scenarios for     and provided crucial guidance and advice. The peer
Sudan to 2030 (Sr. Economist, DECPG); Jane Bogoev       reviewers were: Andrew Goodland (Program leader,
(Economist, GMFDR) on pro-poor growth and               AFCE3), Taehyun Lee (Sr. Economist, GMFDR),
recent macro-economic developments; Toru Nishiuchi      Mombert Hoppe (Sr. Economist, GTCDR), Andres
(Economist, GMFDR) on savings and investments; Ha       Garcia (Sr. Economist, GTCDR), Nadia Belghith
Nguyen (Economist, DECMG) on real exchange rate         (Sr. Economist, GPVDR), and Susana Moreira (ET
misalignment (Economist, DECMG); Robert Garlick         Consultant, GEEDR)..
                                                    LIST OF ABBREVIATIONS

AAAID	  Arab Authority for Agricultural        ha	hectare
        Investment and Development             HIPC	 Highly Indebted Poor Countries
ARC	    Agriculture Research Corporation       IFAD	 International Fund for Agricultural
ARRC	   Animal Resources Research                    Development
        Corporation                            IMF	  International Monetary Fund
ASM	    Artisanal and Small Scale Mining       MAMS	 Maquette for MDG Simulations
bn	billion                                     MDTF	 Multi Donor Trust Fund
bpd	    barrels per day                        mn	million
CBOS	   Central Bank of Sudan                  NBHS	 National Benchmark Household
CBS	    Central Bank of Sudan                        Survey
CGE	    Computable General Equilibrium         OFAC	 US Office for Foreign Asset Control
COMESA	 Common Market for Eastern and          RCA	  Revealed Comparative Advantage
        Southern Africa                        RER	  Real Exchange Rate
CPC	    Cotton Public Corporation              SAM	  Social Accounting Matrix
DB	     Doing Business                         SCCL	 Sudan Cotton Company Ltd
DSA	    Debt Sustainability Study              SDG	  Sudanese Guinea a.k.a. Sudanese
EIA	    US Energy Information Administration         Pound
EOR	    Enhanced Oil Recovery                  SDN	Sudan
FDI	    Foreign Direct Investment              SSA	  Sub-Saharan Africa
fed	feddan                                     SSD	  South Sudan
GAB	    Gum Arabic Board                       SUD	Sudan
GAC	    Gum Arabic Company                     TFA	  Transitional Financing Agreement
GAFTA	 Greater Arab Free Trade Area            TFP	  Total Factor Productivity
GDP	    Gross Domestic Product                 TTEA	 Technology Transfer and Extension
GNDI	   Gross National Disposable Income             Administration
GOS	    Government of Sudan                    VA	Value-added
GRSS	   Government of the Republic of South    VAT	  Value Added Tax
        Sudan                                  WDI	  World Development Indicators
          SUMMARY OF FINDINGS AND POLICY CONCLUSIONS



F
       rom 1999 to 2011 Sudan had a period              resource rents have changed. The secession of
       where it benefited from extensive discov-        South Sudan triggered a negative natural resource
       eries of natural wealth through oil. During      shock that requires economic and fiscal adjust-
the “oil economy” economic growth exceeded the          ment. If the authorities were to allow a market-
historical average of 4.9 and reached 6.1 percent       based exchange rate adjustment this would lead
on average per year. Likewise, oil revenues rapidly     to a “reverse” Dutch Disease situation, where non-
became the main source of public revenues and, at       natural resource sectors such as agriculture could
its peak, contributed more than 50 percent of total     gain competitiveness. However, this “reverse”
revenues. Relatively stable macroeconomic man-          Dutch Disease scenario is being challenged by high
agement during the oil economy led to a rise in the     inflation rates, a key symptom of the post-secession
savings rate, initially through increases in private    Sudan, and to a lesser extent by the recent expan-
savings, followed by an increase in public savings      sion of gold production and exports.
in the 2000s.
     But the oil economy had also clear symptoms        Current Economic Context
of Dutch Disease. Agriculture suffered from
neglect, and there were urgent calls to invest          Sudan is still suffering from the economic and
natural resource rents into economic diversi-           fiscal effects that were a result of the secession
fication efforts. Given overreliance on oil and an      of South Sudan in 2011. With the secession, the
uncertain political situation vis-à-vis South Sudan,    country lost about 75 percent of its revenues and
the 2009 Sudan Country Economic Memorandum              most of its predominant economic activity: crude oil
encouraged private sector-led growth to drive a         exports. But growth for 2014 was 3.1 percent and
more diversified economy, particularly through a        shows some continuation of a recovery that started
revival of the agriculture sector. The 2009 CEM then    in 2013. Growth in 2015 is expected to be around
proposed a set of interdependent steps to overcome      3.5 percent. In the short-term, gold production and
the single reliance on natural resources. The work      exports along with an improving trade of agriculture
called for developing and maintaining the neces-        products, especially livestock, are driving this recov-
sary enabling environment for growth, specifically      ery, but the medium-term outlook remains uncertain.
macroeconomic stability and effective fiscal man-            Sudan’s post-secession adjustment was pri-
agement. The report also highlighted the need to        marily managed via the fiscal side. Rising deficits
implement policies aimed at improving the invest-       were countered through fiscal austerity and central
ment climate. A key identified need was to increase     bank financing. The latter had a significant impact
returns in the agriculture sector, whose productivity   on inflation, which was further fueled by significant
levels had declined over the oil boom years.            exchange rate adjustments in 2012 and 2013. Two
     The heyday of the oil economy ended                subsequent rounds of nominal adjustments with
abruptly in 2011, and economic diversification          a combined nominal depreciation of 100 percent
is at center stage again; the signs of natural          pushed the exchange rate to 5.7 SDG/US$ in 2013
xii     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      thereby increasing the import bill and further fuel-         agriculture productivity growth and/or a normaliza-
      ing inflation.                                               tion of Sudan’s relations with the rest of the world.
           Sudan’s fiscal position has improved in 2014                The impact of falling global oil prices is likely
      reflecting fiscal reforms measures introduced in             to be insignificant. Post-secession Sudan is no lon-
      2013. This is important as it created fiscal space           ger a large net exporter of crude oil. In fact, Sudan’s
      within which the government was able to cut down             crude net oil exports fell from US$8 billion in 2011
      central bank financing of the government (0.4                to as low as US$ 0.4 billion in 2013. Looking at oil
      percent of GDP in 2014 vs. 0.7 percent in 2013).             and oil-related products together, Sudan is already
      Sudan’s overall deficit was lowered to 1.2 percent           a net oil importer.
      of GDP in 2014 compared to 2.1 and 3.7 percent in                Sudan’s economic outlook hinges signifi-
      2013 and 2012, respectively. Key reforms to achieve          cantly on improvements in domestic and regional
      this included a cut in oil subsidies in Sudan and            political environments. The political environment
      efforts to increase tax revenue.                             with the rest of the world has improved somewhat
           One of the key symptoms of the 2011 seces-              over the past year with progress on a national dia-
      sion shock, the Sudanese inflation rate has sig-             logue to rein-in conflicts within Sudan. But uncer-
      nificantly increased since 2011. It has been over            tainty associated with the conflict in neighboring
      30 percent since 2012 (annual CPI rate, period               South Sudan and about oil transit fees remains high.
      average). In 2014 it reached its preliminary annual          More recently, Sudanese Banks have experienced a
      high at about 37 percent, though it declined from            breakdown in their correspondence relations with
      a peak of 47 percent in July 2014 to 25 percent in           foreign banks as a result of de facto tightened U.S
      December 2014. Declining food inflation is compen-           sanctions against Sudan. As a result, Sudan’s trade
      sated for by an increase in core inflation, which indi-      activities have been adversely affected and the short-
      cates the still-existing monetary impact on overall          age of foreign exchange has worsened.
      inflation, as well as increased inflation expectations.
           The current account deficit was still large in          Conflict, Governance, Poverty, and
      2014. But it narrowed to 6.9 percent of GDP from             Debt: Sudan’s Long-Term Challenges
      8.7 percent in 2013 and 9.2 percent in 2012. The
      narrowing account is a reflection of a gold-driven           Sudan has been in conflict for most of its history
      increase in exports and fiscal consolidation efforts         since independence. This conflict arises out of
      that lower the import bill. Exports covered 65 percent       non-inclusive institutions with limited effectiveness
      of imports in 2014 compared to 54 percent in 2013.           and often-disputed legitimacy across Sudan, and
           The short-term growth outlook is set on                 has resulted in depressed development outcomes.
      recovery mode, albeit on a modest level. An                  While the defining conflict between the northern
      anticipated good agriculture harvest and further             and southern regions was largely resolved by the
      increasing livestock exports contribute to positive          secession of the latter to form the Republic of South
      growth, and robust gold exports will support the             Sudan in July 2011, tensions still remain. Several
      continuing recovery with about 3.5 percent growth            other conflicts with varied histories persist in dif-
      in 2015. But gold may be a temporary phenomenon              ferent stages of intensity, stalemate, or resolution.
      only and, given its primarily artisanal nature, has          Weak institutions at both national and subnational
      only limited effect on the economy at large. The             levels are unable to resolve most conflicts, often
      analysis in this CEM argues that in a base scenario          resulting in violence. Violent conflict, especially
      to 2030 growth will be around 4.1 percent, which             rebellion against the center and armed response
      can be potentially driven higher through stronger            by the state, is a direct contributor to the extreme
                                                                    Summary of Findings and Policy Conclusions     xiii




poverty in Sudan’s conflict-affected areas. Security      bearing rocks with little or no reclamation of land
concerns continue to inordinately shape economic          as mining plays out. There appears to be little atten-
and fiscal choices made by the government resulting       tion to safety hazards, exemplified by the depth to
in detrimental development outcomes and perpetu-          which some excavations are dug and minimal use
ating weak institutions for public goods provision.       of support structures. Furthermore, rudimentary
    Sudan presents institutional discontinuities          health precautions are taken at mining sites and
across its various regions, which is reflected in         processing centers, where water and hygiene con-
its regional economic imbalances and its geog-            ditions are poor and do not appear to be subject to
raphy of conflict. At the center, Sudan has institu-      routine monitoring and inspection.
tions that enforce compliance and execute core state           Yet, Sudan holds tremendous potential,
functions of providing security, commanding fiscal        much of it unrealized due to long-running con-
mechanisms, and delivering services. However,             flict and governance challenges. Some of this
state presence and effectiveness diminishes further       potential was realized in earlier decades, (including
outside Khartoum and is out-rightly contested in          during early industrialization) in large scale irriga-
many peripheral areas. As with political power, the       tion in support of food and export crop agriculture,
economy is centered in Khartoum and proximate             and in investments from recent natural resources
riverine states giving rise to significant inequality     discoveries. Once the largest country in Africa,
between the center and periphery, and historically        even in its diminished state Sudan holds the poten-
between riverine and hinterland communities.              tial to be an economic powerhouse. It sits at the
    Development and poverty indicators starkly            crossroads of sub-Saharan Africa and the Middle
mark the resulting inequality. While Sudan boasts a       East, with fertile lands and abundant livestock, and
GNI per capita of US$1693 (2013) its poverty rate is      some remaining natural resources (oil and gold),
46.5 percent. In fact, poverty ranges from 26 percent     which make it the third largest economy in North
in Khartoum state to 62.7 percent in Darfur, based        Africa (after Egypt and Morocco) and the largest
on 2009 data. The incidence of poverty in urban           economy in the greater eastern Africa region. The
areas, particularly Khartoum, is significantly lower      consolidation of peace in Sudan has the potential
than that of the rural areas. Rural areas are more than   to positively impact peace and development in the
two and half times as poor as the capital and almost      region, especially in the Nile River Basin, South
twice as poor as the rest of the urban areas. While       Sudan, and the Sahel.
rural areas account for a little over 60 percent of the        From an economic perspective, Sudan’s
Sudanese population, they account for almost for 80       ongoing debt crisis that dates back to the 1980s
percent of Sudan’s poor. For the rural population, any    is truly unsustainable. Sudan’s debt crisis in the
poverty reduction strategy needs to build on agricul-     1980s started with the Government’s inability to
tural growth, while at the same time looking into the     service its debt service obligations, which in turn
creation of off-farm employment opportunities there.      led to an unprecedented increase in arrears. This is
    The rapid expansion of gold mining has                a key feature of Sudan’s striking debt burden up to
generated a variety of harmful impacts that will          the present, where 85 percent of Sudan’s debt is in
further complicate development in rural areas.            arrears. Both domestic and external causes for the
Aerial images bear witness to the dramatic impacts        debt crisis are widely recognized (Rahman 1995;
of gold rushes with closely spaced excavations over       and Ahmed 2008), including the global recessions
extensive areas and shanty town-type development          of the 1970s and 80s due to the oil price shocks,
to support the influx of people. There is widespread      an overvalued exchange rate and insufficient debt
use of bulldozers to excavate topsoil to expose gold      management capabilities within the government.
xiv     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




           Sudan’s external debt stands at about US$45             Institutions Important for Growth and
      billion (79 percent of GDP) as of end-2013, of               Diversification in Sudan
      which 85 percent was in arrears. The large major-
      ity of the debt is public and publicly guaranteed debt       The CEM starts out with a series of simulations
      (valued at US$43.4 billion, of which 88 percent              and a review of recent key literature on growth
      in arrears), mainly owed to bilateral creditors and          and diversification with the aim of defining a
      almost equally divided between Paris Club and non-           suitable approach for growth and diversification
      Paris Club creditors (37 vs. 36 percent of the total).       for Sudan. Using projections to 2030, an analysis
      Only a small fraction is commercial debt owed to             of economic scenarios sets the stage and highlights
      suppliers (US$1.6 billion). Sudan is also in arrears         some key aspects of potential policy changes. The
      with multilateral creditors, including the WB, the           analysis employs MAMS, a simulation model of
      IMF, and the AfDB.                                           the CGE (Computable General Equilibrium) type
           As a result, current external public borrow-            developed at the World Bank for medium- and
      ing is very limited mainly due to Sudan’s inabil-            long-run policy analysis. The base scenario matches
      ity to access international financial means. Total           economic developments anticipated by the Sudan
      contracting of external debt has remained below 1            Country Team of the World Bank and in recent
      percent of GDP per year since 2011. Given eco-               reports from the IMF; it highlights the difficulties
      nomic and financial sanctions as well as the fact that       of creating an economic structure without heavy
      Sudan is in arrears with most creditors, the country         reliance on resource exports, including the need for
      has effectively been cut off from external financ-           real exchange rate depreciation to induce expan-
      ing sources. The government currently can only               sion of the production of tradables for exports and
      contract new debt with a limited number of still-            replacement of imports, resulting in a slowdown in
      disbursing multilateral and non-Paris Club bilateral         consumption and investment growth.
      creditors such as China. Some US$152 million of                   The sectoral structure of Sudan’s economy
      new debt (0.2 percent of GDP) was contracted in the          shows the growing importance of agriculture,
      first half of 2014, of which $147 million is on non-         less importance of extractives, and relative stabil-
      concessional terms (which is well within the annual          ity of other sectors (manufacturing, services) by
      non-concessional borrowing limit of US$600 mil-              2030. The simulations also show that the strongest
      lion prescribed by the government’s Staff Monitored          growth rates are from sectors that are capable of
      Program with the IMF: IMF 2014a). There has not              producing internationally competitive tradables.
      been any new private external debt in decades.               Simulations suggest that in the absence of dominant
           Relief to Sudan’s external debt crisis will be          resource-based exports, growth must be centered on
      critical. Normalization with the rest of the world           sectors producing tradables that are exported and/
      and debt relief would not only mean that Sudan               or replace imports. Therefore a sectoral focus of this
      could potentially access significant external assis-         CEM is to examine agriculture and trade of goods
      tance resources, but also a bettering in Sudan’s terms       and services as a means to grow the endowments
      of trade and potential to explore currently closed           base of the country.
      external markets. But the envisioned HIPC debt relief             The non-base scenarios point to the benefi-
      process is slow and requires renewed emphasis of the         cial effects of agricultural productivity growth. In
      Government on reaching out to creditors, normal-             addition, the role of agriculture would likely become
      izing relations with international financial institu-        more prominent in a setting with a supportive,
      tions, and continuing to establish a track record of         depreciated real exchange rate. Simulations of nor-
      cooperation with the IMF on policies and payments.           malization (represented by improved terms of trade,
                                                                   Summary of Findings and Policy Conclusions     xv




debt forgiveness, and more foreign aid) suggest that     revenues. Still, more effective volatility management
it would have positive effects on macro indicators,      within a fiscally sustainable framework requires a
boosting Sudan’s integration with the world economy,     medium-term outlook on natural resource revenues.
improving household welfare, reducing poverty, and            At its peak during the oil economy between
facilitating Sudan’s structural transformation.          1999 and 2011, oil revenues contributed more
     The second part of the analysis attempts to         than 50 percent of total fiscal revenues. This
identify a suitable growth and diversification           situation ended abruptly in 2011 and oil revenues
strategy for Sudan and looks at the 2008 Growth          are expected to fall to around 10 percent of total
report (World Bank 2008a) in search of “ingredi-         revenues over the next five years. In addition to
ents for growth.” It finds that Sudan’s performance      oil revenues from Sudanese domestic production,
vis-à-vis the “ingredients of growth” is mixed and       fees of South Sudanese oil flowing through Sudan’s
between 2000 and 2011 and heavily dependent on           oil infrastructure and time-bound proceeds of the
the effects of the oil economy. The same section also    transitional financing agreement (TFA) between
explores the question on how to achieve “pro-poor”       the two countries are expected. More effective
growth. It finds that, given that poverty in Sudan is    volatility management within a fiscally sustainable
deep and largely a rural phenomenon, the agricul-        framework requires a medium-term outlook on
ture sector is crucial for efforts to reduce poverty.    natural resource revenues. During the pre-secession
     Looking at other economies that were suc-           period Sudan had some experience in utilizing an
cessful in their diversification efforts shows that      oil revenue stabilization account (ORSA)—a failed
they were able to broaden their endowments base          attempt to smooth expenditure. After two years of
by maximizing a triad of institutions to deliver         balanced budgets in 2010 and 2011, a significant
services that ultimately increase productivity.          deficit opened up in 2012.
This triad includes the abilities to manage natural           Financing the budget deficit is now one of
resource rents, to provide public services, and to       the key challenges in post-secession Sudan, but
regulate economic activity and foster a business-        options for foreign financing of the budget defi-
enabling environment (World Bank 2014e).                 cit are limited. Given the constrained financing
Looking at Sudan, there are important weaknesses in      options for Sudan it will be important to mobilize
all the three areas, often complicated by conflict and   more domestic resources for productive use, most
fragility, sometimes through uncertain assignments       notably domestic savings to support investment. But
of responsibilities in an ever more decentralizing       Sudan’s national savings fell to a low of 8.5 percent
public administration. Overall, this analysis finds      of Gross National Disposable Income (GNDI) in
there is much scope to improve the effectiveness of      2012, the lowest level since 1999. Stable macroeco-
these institutions to lay the groundwork for a more      nomic management in the late 1990s and 2000s,
diverse endowment base, and ultimately, a more           and the oil economy led to a rise in the savings rate.
diversified economy.                                     But with the secession Sudan’s private and public
     The ability to manage natural resource rents        savings fell sharply. It is well-known that domestic
refers to the ability to pursue overall stabilizing      savings matter because they fund investment, which
macroeconomic policies of which stable fiscal            in turn lead to higher economic activity and growth.
management is key, sometimes achieved with               But it matters even more as tapping into foreign
stabilization funds for natural resource rents. For      savings is not a real option in today’s Sudan where
Sudan, the CEM finds that the Government’s ability to    FDI is scarce and portfolio investments are close to
manage natural resource rents is limited; yet, natural   being impossible given Sudan’s isolated status in
resources have also declined in importance to fiscal     the world financial system.
xvi     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




           The ability to provide public services relates          responsibilities to the sub-national governments;
      to the ability of governments to invest into the             particularly vis-à-vis publicly funded pro-poor
      human capital of the younger generation and                  activities. A sound revenue assignment system
      to build infrastructure that can be used for                 is an essential pre-condition for successful fiscal
      forward-looking economic activities in the long-             decentralization. Since resource disparities exists
      term. Sudan’s ability to provide public services is          across the states of Sudan, the primary component
      a constraint. Historically, GDP growth in Sudan              of successful fiscal decentralization is a more equi-
      was rarely driven by enhancements in total factor            table and transparent system of intergovernmental
      productivity, which would indicate a rising role of          resource allocation across different levels of govern-
      human capital formation in the growth process.               ment. Fiscal decentralization has brought consider-
      And human capital formation depends on the effec-            able extra resources to the States and substantially
      tive provision of services. In that regard, Sudan            increased overall per capita social spending over the
      has undergone a process of decentralization that             past ten years. Yet, the observed increase in social
      assigned basic service provision to subnational lev-         spending has not translated into a more balanced
      els. Since fiscal decentralization is lagging behind,        distribution of resources by the government to
      however, states do not have the ability to live up to        address inequality across states and reduce poverty
      their responsibilities and outcomes, for instance, for       gaps. Ultimately, the weaknesses in public service
      education are both low and with a large variabil-            provision in Sudan stem from poor prioritization of
      ity across states. Finally, conflict, governance, and        spending and an inadequate focus on results.
      debt are all complicating factors for government to               Conflict, governance, and debt are all com-
      effectively deliver services.                                plicating factors for government to effectively
           Sudan has had a period of one decade with               deliver services. Sudan has been in conflict for most
      positive real economic growth rates driven by                of its independence history. The secession of South
      oil GDP since the discovery in 1999. High pro-               Sudan solved the key conflict in Sudan, but not all
      ductivity is crucial for sustaining high growth, yet         conflict has been eliminated; tensions continue and
      in Sudan total factor productivity has been low or           are expected to persist in the foreseeable future. In
      even negative in the majority of years since oil was         most regions of Sudan, conflict over access to natu-
      discovered. The secession of South Sudan signifies           ral resources between pastoralists, agro-pastoralists
      the latest structural break in the economy that is due       and settled farmers is endemic and also contributes
      the loss of the majority of oil reserves and related         to regional conflict, such as in the Sahel. Weak
      fiscal revenues. The sectoral decomposition of GDP           governance and accountability have contributed to
      growth suggests that, historically, the major driver         fragility and conflict, including between the center
      of growth in Sudan was and now still is the service          and periphery. At the same time, conflict and fragility
      sector. From the expenditure side of GDP in Sudan            contribute to the plethora of governance challenges
      it is clear that domestic consumption (public and            in Sudan. Fragility and conflict in Sudan is also
      private) has been the major driver of GDP growth             driven by corruption, further reinforcing barriers to
      over the past decade and the role of investment was          investment and equitable growth that would provide
      rather modest.                                               opportunities to citizens. Intrinsic to issues of allo-
           Sudan has undertaken political decentral-               cation and management of resources and the need
      ization reforms since the early 1990s with the               for greater transparency and accountability are the
      aim to transition the responsibility for basic               broader issues of the transformation of the state by
      service delivery to the subnational, state level.            providing for more participation of citizens and com-
      Decentralization has devolved a number of key                munities in decisions. Sudan’s prospects for service
                                                                     Summary of Findings and Policy Conclusions     xvii




delivery and poverty reduction are also hampered           a regime of export controls related to military or
by its huge stock of external debt, most of which is       dual-use goods. The largest, yet most difficult to
in arrears, with the implication that Sudan is cut off     assess impact of the sanctions regime on Sudan is
from much needed official development assistance.          transmitted through the financial system. Financial
     The ability to regulate economic activities           sanctions create difficulties for non-US companies
refers to the Government’s capabilities to estab-          in trading with Sudan, partly due to the fact that
lish and nurture a business-enabling environment.          U.S. dollar transactions are routed through the U.S.,
Since 2008 Sudan has experienced a slight deteriora-       and partly due to the fact that many non-U.S. banks
tion in the business-enabling environment; the coun-       have very significant dealings with the U.S. and want
try lags behind the comparators in getting credit and      to avoid the appearance of being involved in trade
protecting investors, resulting in a lower rank for ease   with Sudan. Sanctions have also a direct impact on
of doing business. Sudan ranked at 170 for getting         the real economy through restrictions on sourcing
credit and 157 for protecting investors in the Doing       of inputs and replacement parts. But the absolute
Business indicators (2014). When it comes to start-        level of real economy impact of sanctions remains
ing a business, Sudan’s performance is similar to the      unknown. For instance, Sudan’s non-oil exports
comparator countries. Sudan ranked at 131 for start-       are concentrated in a small number of markets, but
ing business while Kenya was at 134 and Ethiopia at        this is likely not solely a consequence of economic
166, respectively. The difficulties to run a business in   sanctions against Sudan. In fact, it looks as if Sudan
Sudan lie more in the lack of support to investors and     is isolated even within Africa. However, sanctions
business people than administrative procedure. The         have exacerbated the isolation through increasing
strength of investor protection index is relatively low    the difficulty in settling cross-border payments,
at 3.3 out of 10. For a country with sea access, Sudan     which affects trade with all partners including their
has a relatively low ranking on the trade facilitation     African neighbors. Yet, there is reason and evidence
component of the Doing Business indicators (Figures        to believe that a normalization of relations with the
S.17). The Doing Business (2014) ranking for Sudan         rest of the world, including a lifting of economic
(155th) on trading across borders is closer to the ones    sanctions, could promote export diversification.
for landlocked countries and slightly worse than the            In sum, the CEM finds that there is a case
regional average for Sub-Saharan Africa (SSA) (141).       for Sudan to approach growth through diver-
Landlocked countries, such as Uganda and Ethiopia          sification from two angles: the production and
in the comparators, often have more penalties than         the endowment base, both of which rely on the
non-landlocked ones in trading across borders (Alvis       effective utilization of key institutions. Taken
et al. 2010). Sudan, with relatively good port infra-      together the direct and indirect approach define a
structure, does not appear to be taking full advantage     coherent way for Sudan to diversify that takes into
of its geographic location. It is notable that the cost    consideration the current and future sectoral struc-
to import is close to the price for the neighboring        ture of the economy, existing sectoral policies of the
comparator landlocked countries.                           Government, as well as the need for long-term insti-
     Economic and financial sanctions imposed              tution building as a foundation for diversification
on Sudan since the late 1990s complicate the               through broadening the national endowment base.
Government’s ability to regulate economic activi-               This analysis therefore uses a sectoral focus
ties. The United States imposed economic sanc-             and looks at agriculture as sources for diversi-
tions on Sudan in 1997. Over the years, the trade          fication, but also makes the case that trading
sanctions have been relaxed. The United States             of goods and services—especially of the higher
now exports a variety of goods to Sudan subject to         value-added kind—could be a means to grow
xviii     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




        FIGURE S.01: Base Simulation: Selected Macro                           FIGURE S.02: Base Simulation: Aggregated
                           Indicators (Index; 2012 = 100)                                            Sector GDP (Index; 2012 = 100)
        300                                                                     300

        250
                                                                                200
        200

        150
                                                                                100
        100

         50                                                                       0
              2012    2015      2018      2021      2024       2027     2030          2012      2015      2018         2021       2024     2027       2030
                             Absorption          Exports                                Agriculture       Gold           Petroleum         Manufacturing
                             Imports             GDP at factor cost                      Other industry          Private Services        Public Services
        Source: World Bank staff own calculations using the MAMS Sudan Model.   Source: World Bank staff own calculations using the MAMS Sudan Model.




        the endowment base of the country. It is from                                The shares of exports and gross national
        this framework that the remainder of this CEM                           savings in GDP are projected to increase sig-
        unfolds with a detailed analysis of agriculture and                     nificantly from 2012 to 2030. In spite of moder-
        trade of goods and services, and concludes with                         ate import growth and low foreign borrowing, the
        an analysis of the extractive sectors (oil, gold) in                    import and foreign debt GDP shares both increase;
        search of fiscal support for the diversification                        this is due to expected exchange rate depreciation.
        agenda of the future.                                                   In the government budget, a comparison between
                                                                                GDP shares data for 2012 and 2030 indicates that
        Pathways to the Future: Economic and                                    the receipt shares for taxes and domestic transfers
        Sectoral Scenarios to 2030                                              increase while both foreign and domestic borrowing
                                                                                decline; on the spending side, investment increases
        Looking forward, a base scenario simulation sug-                        strongly while subsidies (to petroleum prod-
        gests that the most likely growth outcome over                          ucts) decline, reflecting a projected policy change.
        the next 15 years is that Sudan’s economy will                          In the balance of payments, the GDP shares in 2030
        grow at around 4 percent annually. GDP at factor                        compared to 2012 are boosted by exchange rate
        cost growth is above the growth rates for absorption                    depreciation; among outflows, the main change is
        (the sum of private and government consumption                          expected to be higher imports while, among inflows,
        and investment) and private final demands (private                      the main changes are increases for exports and pri-
        [or household] consumption and private invest-                          vate transfers while borrowing and FDI are lower.
        ment) due to export growth in excess of import                               The sectoral structure of Sudan’s economy
        growth, driven by real exchange rate depreciation                       shows a growing importance of agriculture, a
        (Figure S.01). Among macro items, only govern-                          decline in the importance of extractives, and
        ment investment grows more rapidly than GDP, a                          relative stability of other sectors (manufacturing,
        reflection of that it starts at a very low level. This                  services) by 2030 (Figure S.02). The main sectoral
        structural adjustment is needed to put an end to                        changes by 2030 include:
        unsustainable foreign government borrowing, par-
        ticularly at the backdrop of a projected decline in                      Increased prominence for the agricultural sec-
        gold export prices.                                                           tor: its shares in exports, value-added, and
                                                                                          Summary of Findings and Policy Conclusions                    xix




   employment all increase (most dramatically              FIGURE S.03: Real Exchange Rate and Export
   for exports) while its share in total imports falls                                         Quantity (index Base = 100)
   and imports meet a smaller share of domestic                                  160
   demand for agricultural products;                                             150




                                                         Export quantity index
 Reduced importance for extractives, especially in                             140
   exports but also in value added and employ-                                   130
   ment, combined with increased reliance on
                                                                                 120
   imports to meet domestic demands; and
                                                                                 110
 Relatively small changes in other sectors, even
                                                                                 100
   though manufacturing and private services                                        100       105             110        115         120          125
   both become slightly more open, with increased                                                   RER index (SDG/Foreign currency)
   shares in total exports and imports, larger shares                                        Agriculture            Mining            Manufacturing
                                                                                                           Total         Private services
   of output going to exports, and imports meeting
   larger shares of domestic demand.                       Source: World Bank staff own calculations using the MAMS Sudan Model.



     Two main alternative scenarios are tested
for Sudan’s economy, addressing (i) the poten-                 The simulation confirms the importance of
tial role of agriculture as the economy enters            the real exchange rate as a factor that works for
an era in which oil only will play a marginal             or against export growth, especially in agricul-
role, with gold only partially making up for              ture. Figure S.03 shows a positive and near-linear
this loss; and (ii) the effects of a potential nor-       relationship between the real exchange rate and
malization of relations with the outside world.           export quantities (both total and sectoral); in the
Accordingly, the non-base scenarios are divided into      background, the maximum depreciation, at almost
two groups. (1) The first focuses on issues related to    22 percent, is associated with an addition to foreign
the responses of the economy to policies leading to       reserves corresponding to close to 6 percent of GDP.
stronger TFP growth for crop agriculture and depre-       According to the simulation results, the elasticities
ciation of the real exchange rate. (2) The second         of real exports with respect to the real exchange rate
group addresses channels through which normal-            are around 0.7 for manufacturing, private services,
ized foreign relations may influence the economy:         and total exports but much higher (around 2.1) for
improved terms of trade (via higher export prices         agriculture. These findings are consistent with the
and lower import prices as Sudan’s access to markets      observed downturn for the agricultural sector during
improves), increased aid, and debt relief.                the period of oil boom and suggest that real deprecia-
     During the oil boom, Sudan’s real exchange           tion should facilitate stronger export performance.
rate appreciated, penalizing production of                     Simulating an increase in agriculture produc-
non-oil tradables, a phenomenon commonly                  tivity by 2 percent (Crop+) shows a very strong
known as “Dutch disease,” but this is now being           effect on economic growth and poverty reduction.
reversed. Unless major new natural resources are          An increase in agriculture productivity by 2 percent
uncovered and exploited, Sudan will in the future         per year would increase GDP growth by almost one
reverse this trend, as indicated by the sector pattern    percentage point from 4.1 in the base scenario to 5
of growth for the base scenario, including above-         percent by year to 2030. In addition, Crop+ would
average growth for agriculture. In this new external      increase household consumption and reduce the head-
environment, the prospects for high payoffs from          count poverty rate to 29.4 percent in 2030 compared
policies supporting agricultural growth are better.       to 38.4 percent in the base scenario (Figure S.04).
xx        COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




          Another simulation of the “normalization” of                       2011 heavily dependent on the effects of the oil
     relations with the rest of the world points to simi-                    economy. The advent of oil brought about signifi-
     lar, yet slightly lower positive economic effects                       cant changes in the economy mainly over the past
     than Crop+. Simulations capture effects via three                       10 to 15 years, which were often reversed in the
     channels, initially introduced separately—improved                      most recent period since 2011 due to the secession
     terms of trade (the simulation TofT+), increased aid                    of South Sudan. Those changes are particularly pro-
     (Aid+), and foreign debt relief (Debt-)—and sub-                        nounced in the areas of investments and savings,
     sequently combined in one simulation (Normal).                          the export sector, FDI inflows, price stability, and,
     The welfare impact of normalization is positive and                     ultimately on GDP growth (Table S.01).
     increased household consumption would lower                                 Yet, there are patterns of policies and eco-
     poverty by about 7 percentage points in 2030 com-                       nomic variables that explain some of the past
     pared to the base scenario. Normalization translates                    performance of the Sudanese economy.
     into a 16 percent increase in real household per-
     capita consumption in 2030, with the strongest                          No lasting structural change
     impact from improved terms of trade, followed
     by debt relief and increased aid. The increases in                      The long-term historical growth performance
     household consumption bring about a 7 percentage                        shows that Sudan has undergone three distinc-
     point reduction in poverty in 2030 compared to the                      tive economic periods since 1989, but lacks
     base scenario (Figure S.04).                                            lasting structural change. The first period can be
                                                                             distinguished from 1989 to 1997 when the average
     Looking Back to Shape the Future                                        GDP growth reached 4.9 percent and was driven
                                                                             mainly by labor and total factor productivity growth.
     To find promising areas of focus for Sudan, this                        This was a period of experimenting with economic
     analysis compares Sudan with successful other                           reforms and liberalization of the economy. The
     countries, which were analyzed and described in                         second period can be noted from 1998 to 2007. As
     the 2008 Growth Report (World Bank 2008a).                              a result of the advent of oil, the average economic
         Sudan’s performance vis-à-vis the “ingredi-                         growth increased by 1.2 percentage points, reaching
     ents of growth” is mixed and between 2000 and                           an average rate of growth of 6.1 percent. Typical for
                                                                             this period is that physical capital became the major
     FIGURE S.04: Poverty Rate in 2012 and                                  driver of economic activity, whereas the contribu-
                        Various Scenarios                                    tion of labor and TFP significantly decreased. This is
     48
                                                                             a reflection of intensified capital investments in the
             46.5
     46                                                                      country fueled from the oil economy and satisfied
     44
     42                                                                      through both domestic sources and FDI.
     40             38.4
                                                37.4
                                                                                  The latest and third period in the economy
     38
                                                         35.8                started in 2008 and is coined by negative TFP
     36                                34.2
     34                                                                      growth. This period includes the 2011 secession
     32                                                           31.4
     30                       29.4                                           that is associated with the loss of the majority of
     28
     26
                                                                             oil reserves and related fiscal revenues. Declining
     24                                                                      growth rates of this period was driven by a decline
     22
     20                                                                      in physical capital and the negative contribution of
            2012    Base     Crop+    TofT+     Aid+    Debt–    Normal      the TFP growth (Figure S.05). This is not surprising
     Source: World Bank staff own calculations using the MAMS Sudan Model.   as investment in oil-related activities fell with the
                                                                                                                      Summary of Findings and Policy Conclusions                 xxi




Table S.01: Sudan’s Performance Vis-à-Vis the Ingredients of Growth
 Growth “ingredients” from the Growth Report                    Sudan’s historical record
 High levels of investment ≥ 25% of GDP and savings between     Average level of gross investment during the period 1980–2012 is 18.8% and during
 20–25% of GDP                                                  the period 2000–2012 is 25.7% of GDP. Average gross fixed capital formation during
                                                                the period 1980–2012 is 15.3% of GDP and average during the period 2000–2012 is
                                                                21.2% of GDP. Average level of gross savings for the period 1980–2012 is 13.4% of GDP
                                                                and during the period 2000–2011 is 23.4%. Post-secession savings rates are in single
                                                                digits and too low to drive and match investments.
 Technology, knowledge and know-how transfer (requires FDI)     Average level of FDIs for the period 1980–2011 is 3.3% of GDP, for the period
                                                                2000–2012 is 7.8% of GDP. FDI in post-secession Sudan is negligible.
 Supporting competition and structural change                   The World Bank Investment Climate Assessment of 2009 suggests a poor functioning
                                                                of markets to allocate resources in the economy. This is primarily due to tight controls
                                                                through the state in procurement processes, financial markets, and land markets
                                                                (World Bank 2009b).
 Labor market support                                           The formal labor market is tightly controlled, preventing the efficient match of supply
                                                                and demand, and giving rise to informal, unregulated labor markets (World Bank 2009b).
 Export promotion and exchange rate policy                      Average level of exports of goods and services for the period 1980–2011 is 10.5%, for
                                                                the period 2000–2012 is 16.9%. Official nominal exchange rate depreciated sharply in
                                                                2012 and there is a parallel exchange rate market.
 Financial sector development and openness                      Private credit-to-GDP ratio average for the period 1980–2012 is 11.8%, for the period
                                                                2000–2012 is 12.9%.
 Macroeconomic stability                                        Average annual inflation for the period 1980–2012 is 40.2%, for the period 2000–2012
                                                                is 12.3%. The inflation is volatile during the recent period 2008–2012. Budget deficit
                                                                is narrowing from 7.1% of GDP in 2008 to 5% in 2012. External public debt is growing
                                                                rapidly from 60.2% of GDP in 2008 to 79% of GDP in 2013.
Source: World Bank (2008a); and World Bank staff own calculations, based on data from the WDI and IMF, and the analysis of World Bank 2009b.




secession, FDI declined, and overall economic senti-                             FIGURE S.05: Growth Decomposition of
ment declined. The severity of the contraction can be                                                                        Production Factors in Sudan,
explained by the importance of physical capital and                                                                          1989–2012
TFP in Sudan’s economic development prior to 2008.                                                               15
                                                                              Growth rate (percentage points)




     Successful economic development has typi-                                                                   10
cally been accompanied by structural transfor-
                                                                                                                  5
mation, in which manufacturing and industry’s
share of output and employment rises at the                                                                       0
expense of agriculture (McMillan and Rodrik,                                                                    –5
2011). Manufacturing and industry typically display
                                                                                                                –10
higher productivity, higher wages, and faster rates
                                                                                                                      1989
                                                                                                                      1990
                                                                                                                      1991
                                                                                                                      1992
                                                                                                                      1993
                                                                                                                      1994
                                                                                                                      1995
                                                                                                                      1996
                                                                                                                      1997
                                                                                                                      1998
                                                                                                                      1999
                                                                                                                      2000
                                                                                                                      2001
                                                                                                                      2002
                                                                                                                      2003
                                                                                                                      2004
                                                                                                                      2005
                                                                                                                      2006
                                                                                                                      2007
                                                                                                                      2008
                                                                                                                      2009
                                                                                                                      2010
                                                                                                                      2011
                                                                                                                      2012




of technology adoption, but Sudan’s challenge is to
find ways to grow these sectors, and particularly to                                                                    Total factor productivity      Human capital per labor
                                                                                                                       Labor           Capital stock         Real GDP growth
shift younger and more educated workers into higher
productivity jobs.                                                               Source: World Bank staff own calculations, based on data from World
                                                                                 Bank World Development Indicators (WDI).
     However in Sudan the agriculture and services
sectors yet account for the vast majority of employ-
ment in Sudan, with manufacturing providing an                                 are much higher in industry and manufacturing than
almost negligible number of jobs (Figure S.06).                                in agriculture. The sector that employs most people
This is even though both wages and labor productivity                          in the economy—agriculture—is also the sector that
xxii      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




       FIGURE S.06: Employment by Sector                                                                                     2006 period. The persistently high inflation was also
       3,500,000                                                                                                             accompanied by high volatility. As one of the key
       3,000,000                                                                                                             symptoms of the 2011 secession shock the Sudanese
       2,500,000                                                                                                             inflation rate has significantly increased since 2011,
       2,000,000                                                                                                             and has been over 30 percent since 2012 (annual
       1,500,000                                                                                                             CPI rate, period average) (Figure S.07). Analyzed
       1,000,000                                                                                                             with monthly frequency, inflation was even higher
         500,000                                                                                                             over certain periods (exceeding 40 percent) such
                    0                                                                                                        as in the second half of 2012 and the first quarter
                           Rural men               Urban men                Rural women Urban women
                                          Agriculture & Foresty                     Other industry                           of 2013 when inflation reached a monthly peak of
                                          Manufacturing                             Services                                 47.9 percent in March 2013, after which the price
       Source: World Bank staff own calculations, based on data from National                                                level growth started to decelerate. There was another
       Benchmark Household Survey (2009).                                                                                    peak of inflation at 46.8 percent in July 2014, which
                                                                                                                             relaxed to 25.7 percent in December 2014.
       employs most people without education. Almost two                                                                          A major driver of the upsurge inflation since
       in three workers in this sector have no education and                                                                 2011 was the approach to monetize the budget
       less than one in fifty has post-secondary education.                                                                  deficit by the Central Bank of Sudan through
       Workers in the remaining three sectors—manufac-                                                                       granting direct loans to the government. This
       turing, non-manufacturing industry, and services—                                                                     resulted in rapid monetary expansion that triggered
       have relatively similar levels of education.                                                                          growth of prices. Another significant measure that
                                                                                                                             contributed to an upsurge in inflation since June
       High and volatile inflation                                                                                           2012 was the adoption of a reform package that
                                                                                                                             resulted in steep devaluation of the official nominal
       Inflation in Sudan has had a history of high                                                                          exchange rate, an increase in taxes, and the gradual
       rates and increased volatility since the 1980s.                                                                       elimination of fuel subsidies. All of these measures
       Since the advent of the oil economy in 1999, aver-                                                                    resulted in price increases, especially the announced
       age annual inflation in Sudan has been around or                                                                      elimination of subsidies of petroleum products.
       above 10 percent with the exception of the 2003 to                                                                    The latter affected expectations about higher prices


       FIGURE S.07: Average Annual Inflation in Sudan, 1999–2014

       50%                                                                                                                   40%

       40%                                                                                                                   30%

       30%                                                                                                                   20%

                                                                                                                             10%
       20%
                                                                                                                              0%
       10%
                                                                                                                             –10%
        0%
                                                                                                                                    1999
                                                                                                                                           2000
                                                                                                                                                  2001
                                                                                                                                                         2002
                                                                                                                                                                2003
                                                                                                                                                                       2004
                                                                                                                                                                              2005
                                                                                                                                                                                     2006
                                                                                                                                                                                            2007
                                                                                                                                                                                                   2008
                                                                                                                                                                                                          2009
                                                                                                                                                                                                                 2010
                                                                                                                                                                                                                        2011
                                                                                                                                                                                                                               2012
                                                                                                                                                                                                                                      2013
                                                                                                                                                                                                                                             2014
             1999
                    2000
                           2001
                                  2002
                                         2003
                                                2004
                                                       2005
                                                              2006
                                                                     2007
                                                                            2008
                                                                                   2009
                                                                                          2010
                                                                                                 2011
                                                                                                        2012
                                                                                                               2013
                                                                                                                      2014




                        Overall inflation                       Food inflation                      Core inflation                       Non-tradables/Tradables                                Tradables                    Non-tradables

       Source: World Bank staff own calculations, based on data from CBOS 2014; IMF 2013; and World Bank World Development Indicators (WDI).
                                                                     Summary of Findings and Policy Conclusions              xxiii




for petroleum products in the near future that had      FIGURE S.08: Fiscal Revenues and
spillover effects on the other prices in the economy.                       Composition (SDG mn)
                                                        35,000
Weak natural resource management,                       30,000

budget deficits and low savings                         25,000
                                                        20,000

During the oil economy in Sudan oil revenues            15,000

rapidly became the main source of public rev-           10,000
                                                         5,000
enues and contributed more than 50 percent total
                                                             0
revenues at its peak, but this situation ended                     2008      2009      2010       2011       2012     2013
abruptly in 2011. With the secession of South                                    Tax revenues      Oil revenues
Sudan came a substantial loss of oil revenues and the                            Other non-tax, non-oil revenues

share of oil to total revenues declined from 59 per-    Source: World Bank staff own calculations, based on data from IMF
                                                        2013; and World Bank World Development Indicators (WDI).
cent in 2011 to 16 percent in 2012 (Figure 1.3.1).
Even though they increased significantly, tax and
non-tax-non-oil revenues could not compensate for
this massive shock in the decline of oil revenues;      Sudan is required to pay US$15.00 per barrel up
overall revenues declined by 33.5 percent between       to a maximum of US$3.028 billion as a Transitional
2011 and 2012. During the pre-secession period          Financial Arrangement (TFA). The TFA period ends
Sudan had some experience in utilizing a so-called      in December 2016. In addition, the ongoing civil
oil revenue stabilization account (ORSA), a failed      conflict in South Sudan puts significant uncertainty
attempt to smooth expenditure (Box 1.1).                on the payment of the TFA obligations.
     Oil revenues are expected to fall to around             More effective volatility management within
10 percent of total revenues over the next five         a fiscally sustainable framework requires a
years. At the same time, the ability of the govern-     medium-term outlook on natural resource rev-
ment to generate fiscal revenues from the gold sector   enues. This observation was made in the 2009
will be rather limited, primarily due to the nature     CEM; yet it is still an issue in today’s Sudan. The
of gold mining that is first and foremost artisanal     current practice of government is to include into
in Sudan. Only if Sudan succeeds in establishing a      their medium-term plans expectations that suc-
modern industrial mining sector will there be the       cessful exploration will add to production. This
real possibility for relevant fiscal revenues from      substantially increases the government’s forecast
the gold sector. This is a medium- to long-term         for oil revenues over the medium-term with a high
endeavor however, and Chapter 5 will provide an         risk of not being able to meet those targets. A simi-
assessment of these prospects.                          lar issue is observable in the mining sector, where
     In addition to oil revenue from Sudanese           production figures are unclear and may also reflect
domestic production, fees of South Sudanese             smuggled in and old gold.
oil flowing through Sudan’s oil infrastructure               Sudan’s budget has consistently been in defi-
and time-bound proceeds of the transitional             cit since 1991 and only occasionally reached sur-
financing agreement (TFA) between the two               plus during the oil economy (Figure S.09). During
countries are expected. Chapter 5 will estimate         the oil economy oil revenues rapidly became the main
that those additional oil-related funds are in the      source of public revenues and contributed more than
order of 10 to 20 percent of total revenues until       50 percent total revenues at its peak, but this situa-
2016. Under the Bi-Lateral Agreements South             tion ended abruptly in 2011. With the secession of
xxiv                    COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




        FIGURE S.09: Overall Budget Deficit,                                                                       in the aftermath of the secession. Given its serious
                                             1991–2013                                                              negative repercussions, however, monetization is not
                           5                                                                                        sustainable in the long term; it leads to an upsurge in
                           0                                                                                        inflation, an impairment of monetary transmission
                                                                                                                    mechanisms, crowding out of credit to the private
       Percent of GDP




                          –5
                         –10
                                                                                                                    sector, real exchange rate appreciation, and worsen-
                                                                                                                    ing foreign trade competitiveness. At the same time,
                         –15
                                                                                                                    the effects of the Sudanese debt crisis, paired with
                         –20
                                                                                                                    the financial and economic sanctions imposed on
                         –25
                                                                                                                    the country, have effectively cut Sudan off from the
                               1991

                                      1993

                                             1995

                                                    1997

                                                           1999

                                                                  2001

                                                                         2003

                                                                                2005

                                                                                       2007

                                                                                              2009

                                                                                                     2011

                                                                                                            2013p
                                                                                                                    international financial system.
        Source: World Bank staff own calculations, based on data from World                                              Given the constrained foreign financing
        Bank World Development Indicators (WDI).                                                                    options for Sudan it would be important to mobi-
                                                                                                                    lize more domestic resources for productive use,
                                                                                                                    most notably domestic savings to support invest-
        South Sudan came a substantial loss of oil revenues                                                         ment. But Sudan’s savings rate is low. Sudan’s
        and the share of oil to total revenues declined from 59                                                     national savings fell to a low of 8.5 percent of Gross
        percent in 2011 to 16 percent in 2012. Even though                                                          National Disposable Income (GNDI) in 2012, the
        they increased significantly, tax and non-tax-non-                                                          lowest level since 1999. Stable macroeconomic
        oil revenues could not compensate for this massive                                                          management in the late 1990s and 2000s, and the
        shock in decline of oil revenues, and overall revenues                                                      oil economy led to a rise in the savings rate. In the
        declined by 33.5 percent between 2011 and 2012.                                                             initial phase of this trend, private savings started to
             After two years of balanced budgets in 2010                                                            rise towards the end of the 1990s, followed by an
        and 2011, a significant deficit opened up in 2012,                                                          increase in public savings in the 2000s. The exact
        but was narrowed again in 2013. Even though a                                                               opposite happened in 2011 with the loss of three-
        reduction of total expenditures was achieved 2012                                                           quarters of oil revenue and the subsequent macro-
        the decline in expenditure could not keep pace with                                                         economic and fiscal crisis that hit the Sudanese
        the decline in revenues. The budget deficit shot                                                            economy after the secession. Against this backdrop,
        up from virtually zero (–0.2 percent of GDP) to                                                             Sudan’s private and public savings fell sharply.
        3.8 percent deficit in 2012. Much more, in 2013 the                                                              Domestic savings matter for Sudan’s eco-
        expenditure side expanded again in real terms, but                                                          nomic transition from a largely oil-dependent
        with a recovery of GDP growth from negative to posi-                                                        towards a more diversified and sustained growth
        tive territory in 2013, expenditure as percent of GDP                                                       and development mode. There are two important
        decreased. As a result, the deficit narrowed from                                                           points related to domestic savings. First, there is
        3.8 percent of GDP in 2012 to 2.3 percent in 2013.                                                          the well-known relationship between savings and
        The gradual elimination of oil subsidies starting in                                                        investment, where savings fund investment, which
        September 2013 manifested this consolidation effort                                                         in turn leads to higher economic activity and growth.
        and the 2014 deficit is expected to further decline.                                                        International evidence suggests this positive corre-
             Financing the budget deficit is one of the key                                                         lation. Second, Sudan is not interlinked with the
        challenges in post-secession Sudan, and options                                                             international financial system and hence economic
        for foreign financing of the budget deficit are lim-                                                        actors have very limited opportunities to finance
        ited given Sudan’s debt crisis. So far, the dominant                                                        investment through external sources. Together, the
        source of financing has been through monetization                                                           lack of access to foreign savings urges post-secession
                                                                              Summary of Findings and Policy Conclusions                                                 xxv




Sudan to raise its savings rate beyond pre-secession      FIGURE S.10: Sudan’s RER Misalignment
levels to finance investment for growth.                   0.2
                                                           0.1
                                                             0
Long history of overvalued real exchange                  –0.1
rate (RER)                                                –0.2
                                                          –0.3
Sudan’s RER has been greatly overvalued over              –0.4
                                                          –0.5
most of the past 40 years. From 1970 to the
                                                          –0.6
present, there are only two years when the RER is         –0.7
undervalued (Figure S.10). For the rest of years, the     –0.8
                                                              1970            1976              1982        1988            1994         2000          2006
RER is greatly overvalued, by as much as 65 per-
                                                                                                                   Misalignment
cent in 2008. In 2010 and 2011 the overvaluation
reduced to 50 percent and 40 percent—still very           Source: World Bank staff own calculations, based on data from PENN
                                                          World Tables.
significant numbers. The overvaluation may have           Note: Undervaluation zone is above 0.
slightly eased in the years 2012 and 2013 where
the nominal exchange rate devalued by almost 100          to other African oil exporting countries, most of
percent (Figure S.11). But the positive RER effects       which experience Dutch-disease-like symptoms.
of this nominal depreciation, were again eaten up         Empirical evidence presented in this analysis sug-
by persistently high inflation rates of 35.1, 36.3 and    gests that a 10 percent lower real exchange rate
37.4 percent in 2012, 2013, and 2014, respectively.       could raise economic growth by 0.9 percentage
     The historical overvaluation is consistent           points in Sudan. Given data constraints the rela-
with the gaps observed between official nominal           tionship between the exchange rate and export
exchange rates and black market exchange rates.           growth in Sudan cannot be confirmed with the same
If one was to consider the black market exchange          methodology, but an undervalued RER is expected
rate as a de facto market-driven equilibrium value        to contribute to export growth similar to what is
of the nominal exchange rate, the official nominal        observed across all countries considered (separate
exchange rate was overvalued to the tune of 50 to 70      work on economic scenarios, presented later in this
percent in 2010 and 2011. Given data constraints,         summary, shows an elasticity of 0.7 between real
there is no measure of RER Misalignment for Sudan
after 2011. However, based on the gap between the
                                                          FIGURE S.11: Sudan’s Official and Market
official and the black market rates, and given the his-
                                                                                         Exchange Rate (SDG/USD)
torical relationship between the two that reflects the
                                                          10
RER Misalignment Index, it is likely that the extent
of RER overvaluation remained at a similar level in        8
between 2012 and 2014. Such an overvaluation               6
pattern identified through the misalignment index
                                                           4
is consistent with other estimates. For instance, the
IMF Article IV in 2014 estimated that the Sudan real       2
exchange rate was about 40 percent overvalued in           0
2014 (IMF 2014c).
                                                            Jan-09

                                                                     Jul-09

                                                                              Jan-10

                                                                                       Jul-10

                                                                                                 Jan-11

                                                                                                          Jul-11

                                                                                                                   Jan-12

                                                                                                                            Jul-12

                                                                                                                                     Jan-13

                                                                                                                                              Jul-13

                                                                                                                                                       Jan-14

                                                                                                                                                                Jul-14




     A more competitive real exchange rate could
support export and output growth. Sudan’s real                                    Official exchange rate                          Market exchange rate

exchange rate overvaluation of the 2000s is similar       Source: CBOS; and World Bank World Development Indicators (WDI).
xxvi      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




       FIGURE S.12: Sudan’s Wheat Yields in                                                       Wheat, (a crop not natural to Sudan, but produc-
                                Perspective                                                        tion is encouraged by the government) has yields
       8,000                                                                                       that are among the lowest in the world, if not the
       7,000                                                                                       lowest (Figure S.12). Similar developments are seen
       6,000
                                                                                                   in the main oil seeds—groundnut and sesame. Two
       5,000
       4,000
                                                                                                   notable exceptions to the decreasing production
       3,000                                                                                       and yield trends are gum arabic and cotton, which
       2,000                                                                                       has seen a renaissance over the past years with very
       1,000                                                                                       strong production particularly in 2013.
           0
                                                                                                        Livestock production is strong and rising,
                 Sudan


                         Ethiopia


                                    Egypt


                                              Libya


                                                      Chad


                                                                Kazakhstan


                                                                             Pavlodar


                                                                                        Kzylorda
                                                                                                   but under pressure of losing land for pastoral
                                                                                                   land use. Livestock are raised in almost all parts of
                                            2012         2013                                      Sudan, but mostly concentrated in western Sudan
       Source: World Bank staff own calculations, based on data from the Cen-                      (Kordofan and Darfur states) and owned primar-
       tral Bank of Sudan; the Sudan Ministry of Agriculture and Irrigation; and
                                                                                                   ily by nomadic tribes. Contrary to commonly held
       selected World Bank Agriculture Country Reports.
                                                                                                   belief, the rationale for pastoral livestock is less
                                                                                                   grounded in satisfying basic needs, such as search-
       exchange rate depreciation and export growth).                                              ing for water to drink, and more due to the unique
       In fact, given that Sudan’s exports of non-natural                                          economic benefits of engaging in pastoral produc-
       resource and agriculture products comprise mainly                                           tion. The superiority of pastoral livestock in Sudan
       low-value, raw and unprocessed products, which                                              appears to be that pastoralists consistently use natu-
       compete primarily on prices, the historic and cur-                                          ral resources more intensively and hence are able to
       rent RER overvaluation was and is a major inhibiting                                        produce more livestock products per unit of land
       factor for export development in the country. But                                           area than any other form of livestock production.
       there are macro-economic trade-offs of devalua-
       tion, e.g., its tendency to increase import prices                                          Very concentrated export markets
       and thus contribute to inflation, so any changes
       in the exchange rate may need to be accompanied                                             The export basket of Sudan is very concentrated,
       by adjustments in the macroeconomic policy mix.                                             as shown the large shares of its top three and
                                                                                                   five export products, but the degree of product
       Extremely low productivity in agriculture                                                   concentration decreases when looking at non-oil
                                                                                                   exports. Even though these measures have tended
       The story of agriculture in Sudan is, by and large,                                         to decrease after the split of the country, especially
       a story of low productivity. Low crop yields are                                            in the case of the top three products, the figures
       associated with low fertilizer usage in the country.                                        still evidence a severe dependence of Sudan upon
       In 2009 the average fertilizer use per hectare of                                           few commodities. However, the degree of product
       cropland was 7.3 kg, which ranked Sudan at 129                                              concentration decreases considerably when only
       among 155 countries, far behind Ethiopia, Sudan’s                                           non-fuel products are considered. This implies that
       poorer neighbor. To illustrate, sorghum and millet                                          after the loss of South Sudan, the country may have
       yields are low and generally on a downward trend,                                           been forced into a path of higher product diversi-
       yet more so in the rain-fed production areas than                                           fication that could work to its advantage in future.
       in irrigated regimes, where yields are more stable                                          Even though the share of the top three and five non-
       or have slightly increased over the past decade.                                            oil products have increased after the loss of South
                                                                       Summary of Findings and Policy Conclusions                 xxvii




Sudan, they are still relatively low. However the                      Herfindahl-Hirschman Index at
                                                          FIGURE S.13: 
number of products, which always had been low,                                the Products Level, Sudan and
had shown mild increase between 2006 and 2011,                                Selected Countries
but fell again after the split of the country.            1.0
     The lack of product diversification of
Sudan also stands out when compared to peer
countries, as evidenced by its comparatively              0.5
much higher Herfindahl-Hirschman index.1
Furthermore, the index has increased in recent
years, while in many of its comparators it has actu-
                                                            0
ally decreased. This points out to a comparatively                   Average 2000–2006             Average 2007–2012
disadvantaged position, both static and dynamic.                     Egypt, Arab Rep.     Ethiopia   Ghana     Indonesia
Figure S.13 presents the index comparing Sudan                      Kenya      Morocco      Mongolia    Uganda      Sudan
and some comparator countries.                            Source: World Bank staff own calculations, based on data used from UN
     Yet, Sudan has significant market power in           Comtrade.

global export markets for gum arabic and sesame
seeds. Sudan’s power in global markets for gum
arabic and sesame seeds allude to its role of being       that effort, but so is the role of the exchange rate.
a price setter in those areas globally. In regional       Additionally, Sudan has a few agricultural export
markets Sudan plays a similar role for sheep and          products with global or regional market power,
sheep meat, and on an emerging basis in waste and         which could be used as basis for an agriculture
scrap of primary cells.                                   diversification strategy and to explore agro-pro-
     It is noteworthy that the role of sanctions in       cessing as a next step towards light manufacturing.
export concentration is not clearly evident. In               But there are striking examples of policy
fact, it looks like that Sudan is isolated even within    inconsistencies in the agricultural sector that
Africa. However, sanctions have exacerbated the           prevent the sector from unfolding to its full
isolation through increasing the difficulty in settling   potential. Examples identified in the study include
cross-border payments, which affects trade with all       the policies to promote self-sufficiency in wheat;
partners including their African neighbors. (World        centralized marketing of agricultural products;
Bank 2014e).                                              livestock, land tenure, and land policies; and the
                                                          inability to stop the decline of the Gezira scheme.
Agriculture and Livestock are Key for
Economic Diversification in Sudan                         Mistaken belief about food-security and
                                                          wheat self-sufficiency
All signs point to agriculture as the key sector
for diversification in the medium- to long-term.          Over much of the past decade, common discus-
Agriculture is clearly underperforming and simula-        sions about food security in Sudan have conflated
tions show that growth in agricultural productivity       the concept that wheat self-sufficiency adds to
could have a very strong impact on raising economic       food security. However, the reality is that the two
growth and reducing poverty. At the same time,
there is a clear opportunity to raise productivity        1
                                                            The Herfindahl-Hirschman index is calculated as the sum of the
                                                          squared market shares for all products.Higher values indicate in-
given the extremely low yields currently observed         creasing concentration, with a maximum score of 1.0 when there is
in Sudan. Fertilizer usage will be instrumental in        a single product.
xxviii     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




         do not have much to do with each other. Other coun-          limited. Still, these stores represent the equivalent of
         try examples are illustrative: First, Jordan produces        over two months of current consumption. Compare
         virtually no grain at all, and yet has a high degree of      this with the government’s stores of sorghum and
         food security, due to a substantial volume of modern         millet, which only represent 20 days of consump-
         storage (silos) distributed around the country, and          tion of those two commodities. Much more, they
         efficient and transparent procurement of grain from          are all in the far eastern part of the country, whereas
         the cheapest sources on the world market. Second,            consumption is mainly in the west. Box 3.4 devel-
         Indonesia has long considered itself food insecure,          ops a proposal to establish state-level modern grain
         despite the fact that it is the third largest producer in    storage in Sudan.
         the world of its staple grain (43 million tons of rice).         Yet, the government encourages domestic
              Sudan consumers have changed their taste in             production for wheat even though there is no
         grain and shifted emphasis to wheat, a process               comparative advantage for its production in
         that will continue and grain consumption pat-                Sudan, which needs more seasonality than most
         terns may be significantly different again over the          of country provides. This is why Sudan’s average
         next decade. This gradual shift is taking place from         yield is half of Chad’s, one quarter that of Ethiopia,
         the traditional dryland crops of sorghum and millet          and 1/14 that of Egypt. Sugarcane is somewhat dif-
         to wheat. In 2001 grain consumption per capita was           ferent, in that some areas of Sudan have achieved
         140 kg: 90 kg of sorghum, 10 kg of millet, and 40            good yields in international terms. But sugarcane is
         kg of wheat. Now it is closer to 96 kg of sorghum            the second highest water-consuming field crop in
         (plus about 10 percent for animal feed) and 54 kg            the world, after rice. Meanwhile, Sudan’s irrigation
         of wheat. Consumers continue to change their taste           schemes are deteriorating rapidly, and the largest,
         (and demand) and grain consumption patterns                  Gezira, is almost to the point of collapse in terms of
         may be significantly different again over the next           delivering water. Sudanese farmers know this, and
         decade. Assuming that the change in preference of            they have turned against sugar as decisively as they
         the population is permanent, changing the cropping           have turned against wheat. As for government sup-
         pattern will be a long gradual process, and indeed           port of wheat production, this study follows World
         may only be partial. So the shift in production will         Bank (2015b) in its recommendation to first shift the
         not provide increased security for perhaps 10 years,         focus of subsidies on domestically produced wheat
         and perhaps never in total.                                  and then, second, to gradually reduce the extent of
              Sudan is today more secure in wheat than in             subsidies on domestic production.
         sorghum and millet. So food security does not                    At the very same time that the government sub-
         reflect the fact that the wheat stocks are mainly            sidizes wheat imports, Sudan also pays too high
         imported, and the sorghum and millet mainly                  a price for wheat imports; indeed, there are indi-
         produced in-country. The greater part of current             cations that by changing the import sources the
         modern storage available now in Sudan is for wheat,          government could significantly reduce the price
         not for sorghum and millet. In fact, current storage         paid. Wheat imports are being carried out primarily
         is usually either attached to flour mills or owned           through flourmill companies, for examples SAYGA,
         by flour millers at Port Sudan. As a consequence,            Weita, and Seen. The main exporting countries of
         current wheat storage capabilities exceed millet and         wheat to Sudan are now Australia, Canada, Germany,
         sorghum and are in the range of two months of                and more recently India. The cost of wheat imports
         wheat consumption. Yet, since the wheat stores are           could be significantly reduced if Sudan imports wheat
         fully private and are dedicated to the milling of flour      from other cheaper sources such as Argentina, Russia,
         for the various companies whose strategic storage is         Kazakhstan and the U.S. (Figure S.14).
                                                                     Summary of Findings and Policy Conclusions                   xxix




Centralized marketing of agriculture                    FIGURE S.14: Sudan’s Wheat Import Price in
products                                                                     Perspective (USD/ton)
                                                        500                                                           445
                                                                                    414
For decades export marketing of gum arabic was                      372                              397
                                                        400
under the sole responsibility of the monopolized
                                                        300
Gum Arabic Company. From 1969 to 2009 the
Gum Arabic Company (GAC) had the sole conces-           200
sion to export raw gum arabic. The main role of the     100
GAC was to preserve and monitor the quality of raw
                                                          0
gum arabic exported and to support producers with               2010/2011        2011/2012        2012/2013        2013/2014
production and extension services. The GAC had                               Sudan import price           All US grades
implemented a floor price system for gum at buy-                     US (Kansas city)         US (texas gulf)         Argentina
ing centers (auctions). However, the monopoly of        Source: World Bank staff own calculations, based on data from the
the GAC in gum arabic trade was widely regarded         Sudan Ministry of Agriculture and Irrigation; and the United States
                                                        Department of Agriculture (USDA).
as the main reason behind the deterioration of gum
arabic production and export in Sudan. Over many
years, the low prices paid to producers (about 10–15    gum arabic have been abolished (about 13 out of
percent of export price) accompanied by poor sup-       the 18 taxes and charges) (World Bank, 2013c).
port services led farmers to cultivate crops other           Similar to the marketing of gum arabic, cot-
than gum arabic. The GAC also faced administra-         ton marketing was in the sole hands of one state-
tive problems that led to inadequate international      owned entity, the Cotton Public Corporation
promotion and marketing of gum arabic. In addi-         (CPC), for many decades. CPC was established
tion there were other factors outside the company       in 1970 to undertake marketing of all cotton pro-
such as low involvement of banks in the gum arabic      duced in Sudan. In 1986 CPC was closed and the
trade, multiplied fees and taxes, and lack of strate-   Sudan Cotton Company Ltd (SCCL) was formed. In
gic stocks.                                             1993 the ownership structure of SCCL was changed
    In a bold move by the government a 2009             to let some private influence in, but the Government
liberalized the gum arabic trade and removed the        remained in charge. The then-new mixed sharehold-
concession that granted monopolistic power to           ers were made up of the Ministry of Finance, cotton
the GAC, affecting the marketing and export of          farmer groups from the Gezira, Rahadf, and New
raw gum arabic. The floor price system was also         Halfa irrigation schemes, the Sudan Pension Fund,
suspended. Meanwhile, a decision was made to            and the Farmers’ Commercial Bank.
establish the Gum Arabic Board (GAB) to coordinate           But the role of central marketing in cotton
reform measures and support the revival efforts of      exports is declining and the influence of market
the gum arabic sector. The main objectives of the       pricing has become stronger since 2011. Almost
GAB were somewhat similar to the former GAC,            all cotton grown under irrigation over the last 35
but without monopoly power or concession. Since         years has been sold on the world market by the
then, GAB is responsible for promotion of gum ara-      SCCL or its predecessors. This marketing mecha-
bic export, opening new markets, providing finance      nism meant that prices received by cotton farmers
services and quality control. The adopted reform        in irrigated schemes were usually one uniform price
measures have had positive impacts on improve-          for each variety, after costs of handling, ginning, and
ment of production, prices, and income of gum           marketing had been subtracted. But pricing policies
producers as many taxes and charges imposed on          have now changed and cotton producers are paid
xxx     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      FIGURE S.15: Livestock Export Value by                                  inability of Sudanese meat to compete with other
                          Subsectors (USD mn)                                  suppliers especially to the Gulf region, due to high
      800                                                                      cost, lack of modern export facilities, quality con-
                                                                               siderations, and unsustainable supply.2
      600
                                                                                    Contrary to commonly held belief, the rationale
      400
                                                                               for pastoral livestock is less grounded in satis-
                                                                               fying basic needs, such as searching for water
      200                                                                      to drink, and more due to the unique economic
                                                                               benefits of engaging in pastoral production. The
        0
             2008       2009       2010       2011       2012       2013       superiority of pastoral livestock in Sudan appears to
                               Sheep    Goats     Camels                       be that pastoralists consistently use natural resources
                           Cattle    Meat     Hides and skins                  more intensively and hence are able to produce more
      Source: World Bank staff own calculations, based on data from the Cen-
                                                                               livestock products per unit of land area. Later stud-
      tral Bank of Sudan; and the Sudan Ministry of Livestock and Fisheries.   ies replicated similar findings to the ones reported
                                                                               by Wilson and Clarke (1976) for Sudan and the rest
                                                                               of Africa. Superiority of pastoralists over sedentary
      on delivery at the “farm gate” according to grade                        farming may be due to the constant optimization by
      and type of cotton. There were two triggers for this                     experienced herders of the pasture forage their herds
      policy change: the deterioration of cotton produc-                       graze. Behnke (2012) found that fenced pastures
      tion and the changing environment of production                          south of Nyala (now in South Darfur) lost 75 percent
      relations especially in the Gezira Scheme. At the                        of their feed value (largely due to consumption by
      same time, the infrastructure of the cotton industry                     termites and loss of digestible protein due to volatil-
      is largely diminished, e.g., the number of spinning                      ization) if left ungrazed from September to the end
      factories is estimated to be 15 only five of which are                   of the dry season in May. Similar findings are avail-
      working, and there are 17 textile factories, only one                    able for Mali, Ethiopia, Kenya, Botswana, Zimbabwe,
      or two of them are working.                                              and Uganda. As a result, pastoralists consistently use
                                                                               natural resources more intensively and produce more
      Livestock, land tenure and land policy                                   livestock products per unit of land area than do sed-
                                                                               entary farmers, indeed even commercial ranchers.
      Livestock exports have rapidly become an impor-                               Given the unique performance of the live-
      tant part of Sudan’s foreign trade and reached a                         stock sector in Sudan and the fact that pastoral-
      total export volume in excess of US$670 million                          ism is so successful, there is surprisingly little
      per year in 2013. Figure S.15 summarizes Sudan’s                         policy attention on the sector. This is important
      recent export values of livestock products. There                        in part due to the interlinked issues of land tenure
      was more than a tenfold increase by 2013 compared                        and land policy (Box 3.1), which need to be solved
      with 2008 (which, however, was an outlier year due                       to sustain pastoral livestock production into the
      to an imposed export ban and quarantine measures).                       future. But there are also other issues, such as inher-
      Live sheep exports dominate the picture, represent-                      ent volatility of the sector and the real possibility for
      ing more than 70 percent of livestock export. Next
      in importance are the export of live camels and                          2
                                                                                 No cold or frozen meat is exported from Sudan because of inad-
      hides and skins, which are about 14 and 10 per-                          equate abattoirs, and handling and transport facilities for chilled meat.
                                                                               Small assignments of whole carcasses of sheep and goats and quarter
      cent, respectively, of livestock export. Meat exports                    carcasses of beef are exported through special arrangement between
      fluctuate greatly, which is largely a reflection of the                  exporters and importers.
                                                                   Summary of Findings and Policy Conclusions        xxxi




it to be negatively affected by droughts and diseases.   removal), and redesign of works to reduce mainte-
Hence there is a need for more policy focus on a         nance needs. Most of those needs have accumulated
better, forward-looking management of the sector         in recent years to the point of virtual collapse of the
(World Bank, 2015b).                                     scheme’s irrigation and drainage functions.
     In fact, the major problem of pastoralism                In 2014 the head of Gezira’s Board of Directors
today is the loss of rangeland to mechanized             resigned, while the President of Sudan has pub-
dryland and irrigated farming. A study in Gedaref        licly declared the failure of the scheme. Almost all
State (Babikir 2011) reported that grazing lands         of the scheme’s staff, which once numbered 10,000,
reduced from 78.5 percent of the State’s total area      have been terminated and portable assets sold off.
in 1941 (28,250 km2), to 18.6 percent in 2002            To turn around its fortune, and to avoid a major loss
(6,700 km2). Meanwhile the mechanized farming            to Sudan and its agriculture sector in particular, it
sector in the State increased by 725 percent in the      would seem wise to design and implement a techni-
same period, from 3,150 km2 in 1941 to 26,000            cal feasibility study of rehabilitating Gezira, including
km2 in 2002. In other areas, center pivot irrigated      an initial benefit-cost analysis of rehabilitation of the
farming is used. The old tradition of allowing herds     scheme. Rehabilitating the scheme would no doubt
to graze crop residues, while they simultaneously        be a large project, since it would have to compensate
fertilized the land, is now increasingly forgotten, in   for decades of deferred maintenance.
fact impossible. Instead, farmers sell their residues         It may be too early to provide any details
for cash and clashes between pastoralists and farm-      of a rehabilitation program, there are a number
ers are now much more common than ever before.           of priorities emerging from the analysis in this
                                                         study. On the engineering side, rehabilitation seems
Inability to stop the decline of the Gezira              to require mechanized or hydraulic silt exclusion
scheme                                                   mechanisms at the inlets from the Nile. From an
                                                         organizational perspective any rehabilitation would
The Gezira Scheme is commonly regarded as the            have to consider the following principles: (1) Land
centerpiece of Sudan’s agriculture but it is at the      tenure: Secure (and transferable) land tenure would
verge of collapse. The Gezira scheme was once the        have to be assured to all farmers in the scheme, with
pride of Sudan, given the enormous size of the irri-     no differentiation based on when ancestors joined
gation system (900,000 ha), close to both the capital    the scheme. (2) Allow farmers free choice of crops:
(and metropolis) of an arid country (Khartoum), and      Experience shows that farmers know best what crop
its major port (Port Sudan). With its 90 years of his-   to use to maximize yields and income. (3) Principle
tory, three million inhabitants, and certain natural     of cost recovery: Real cost recovery would have to be
advantages (much of the scheme could be irrigated        agreed by all farmers. Box 3.2 makes a case for the
by gravity with proper infrastructure maintenance),      rehabilitation of the Gezira scheme and suggests
it is obviously the heart of Sudan’s agriculture.        starting with an in-depth feasibility study.
     Over the years, Gezira’s natural advantages
encouraged many unsustainable policy shortcuts           Seize the Opportunity: Align Consistent
that eventually only contributed to the scheme’s         Policies for Economic Development
decline. Some of those policies stretch back to the
colonial days, in areas as diverse as repeated abro-     Reconsider exchange rate policies
gation of landholders’ rights, command cropping
plans, exploitation of farmers’ interests, skimping      This analysis finds that a more competitive real
on spending both for routine maintenance (e.g., silt     exchange rate could support export and output
xxxii     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




        growth and would have a particularly large effect            exception to this. (3) A slightly undervalued and
        on the agriculture sector. Empirical evidence                rather fixed exchange rate will help the govern-
        presented in this analysis suggests that a 10 per-           ment to accumulate foreign reserves to bolster the
        cent lower real exchange rate could raise economic           exchange rate regime and protect against economic
        growth by 0.9 percentage points in Sudan. Likewise,          volatility.
        an undervalued RER is expected to contribute to                   Finally, a crawling peg arrangement may be
        export growth and this report found an elasticity            the preferred choice for a pegged exchange rate
        of 0.7 between real exchange rate depreciation and           regime as it combines the advantages of a peg but
        export growth. Also noteworthy is that the impact            can also avoid real appreciation. A hard peg (i.e.
        of exchange rate adjustments is particularly pro-            fixed exchange rate) runs the risk of real apprecia-
        nounced in the agriculture sector.                           tion if domestic inflation is high. When the nominal
             There are two approaches toward large                   exchange rate is fixed, an increasing domestic price
        exchange rate adjustments: big bang vs. gradual.             level means that the dollar price of the domestic
        The first approach is to do a one-off devaluation.           goods is more expensive compared to the foreign
        However, a problem of a large sudden devaluation             goods—an RER appreciation. With a crawling peg,
        is that will bring about economic disruptions, for           the nominal exchange rate is allowed to gradually
        instance to trade and debt services, and inflation.          devalue if domestic inflation is high. Since Sudan’s
        And in a way Sudan already tried the approach                inflation is rather high in the post-secession world,
        twice, in 2012 and 2013, with limited success thus           a crawling peg may be the preferred arrangement.
        far. The second approach is to devalue gradually
        and credibly. The upside to this approach is that            Facilitate a stable and low inflation rate
        the economy will only have to deal with incremen-
        tal changes. The downside is that the depreciation           A major driver of recent high inflation is to be
        expectations would put pressure on the central bank          found in the practice to monetize parts of the
        to devalue earlier than planned. For this reason,            budget deficit through the central bank. Given
        credibility is key. Given the ever-changing black            its serious negative repercussions, however, mon-
        market rate and the earlier attempts in 2012 and             etization is not sustainable in the long term; it
        2013, gradual but ongoing devaluation may be the             leads to an upsurge in inflation, an impairment of
        approach of choice for Sudan.                                monetary transmission mechanisms, crowding out
             In the medium- to long-term, and after the              of credit to the private sector, real exchange rate
        official and black market exchange rates have                appreciation, and worsening foreign trade com-
        been successfully unified, the question arises               petitiveness through appreciating the real exchange
        for what exchange rate regime may serve the                  rate. The monetization practice hence should be
        country best. The choices are between pegged and             urgently reconsidered, especially as core inflation
        flexible exchange rates, and a case could be made for        is on the rise, which signals increasing inflation
        the former for the following reasons: (1) A pegged           expectations.
        exchange rate provides stability that is needed for
        the export sector. This is especially important if the       Improve the management of natural
        country would like to promote exports. (2) A peg             resource rents
        provides an inflation anchor. Developing coun-
        tries with low technical and institutional capability        More effective volatility management within a fis-
        often choose to peg their exchange rate as a way to          cally sustainable framework requires a medium-
        anchor inflation expectation. Sudan may not be an            term outlook on natural resource revenues. The
                                                                   Summary of Findings and Policy Conclusions     xxxiii




current practice of government to include into                In addition, the high youth dependency ratio
their medium-term plans expectations that suc-           has a negative influence on the savings rates in
cessful exploration will add to production should        Sudan. Reducing the effective youth dependency
be rethought. This practice substantially increases      ratio through job creation is an important support-
the government’s forecast for oil revenues over the      ive factor for higher savings rates. Since most of the
medium-term with a high risk of not being able to        young workers start their career in the informal sec-
meet those targets. A similar issue is observable in     tor, providing job opportunities in the informal sec-
the mining sector, where production figures are          tor is a key in reducing youth unemployment. As the
unclear and may also reflect smuggled in and old         youth dependency ratio is a critical determinant of
gold. It is imperative for natural resource manage-      private saving, reducing effective youth dependency
ment to have a sound medium-term outlook on              ratio through job creation in the informal sector
natural resource revenues including those from           holds tremendous potential for enhancing saving.
domestic oil, fees, TFA, and gold mining.                To provide job opportunities for the youth, labor
     Reviving agriculture and building an emerg-         market policy would need to be specific to increase
ing light manufacturing sector will require              the capacity of the informal sector.
investment—public and private—in infrastruc-
ture. It is thus imperative for Sudan to raise its       Increase agriculture productivity
gross national savings rate beyond the pre-seces-
sion levels. Low savings imply lower availability        Agriculture inputs: Availability and access to
of funds for productive investment which could           agricultural inputs is largely considered one of
transform the Sudanese economy from a highly oil-        the main factors affecting productivity, prof-
dependent one to a more diversified one. Given that      itability, and competitiveness of agricultural
the secession of South Sudan is a permanent shock        production. The supply of agricultural inputs in
to the Sudanese economy there is a real urgency to       Sudan is organized mainly through the Agriculture
support the transition to a more diversified economy     Bank of Sudan (ABS) and the private sector. The
through higher levels of national savings.               import of fertilizers, tractors, and jute and sacks
     Stable macroeconomic management with                constitute the major part of imported input value
low inflation and positive real interest rates           for agriculture inputs, but while increasing, lev-
is crucial for raising both private and public           els are too low to make a significant difference.
savings rates. The loss of revenues from oil after       Improved seed technology is essential for bridg-
2011 directly lowered public saving. At the same         ing the gap between yields in demonstration trials
time, the monetization of the budget deficit and         and farmers’ fields. Agricultural research, which is
a weakening local currency led to skyrocketing           under the responsibility of the central government,
inflation. Private savings immediately responded to      has been underfunded for decades. The alloca-
this situation and lowered their holdings. Because       tion of resources across various lines of research
international evidence suggests that the Ricardian       is primarily a policy decision. The Agricultural
equivalence holds only partially (public savings         Research Corporation (ARC) is the principal
only partially crowd out private saving), policy         research arm of the government on agriculture, in
makers could stimulate national savings by raising       addition to the universities. Agricultural extension
public saving. But not in the current fiscal situation   services in Sudan are provided by the government
where Sudan finds itself. Going forward efforts are      through the Ministry of Agriculture and Irrigation
needed to facilitate the build-up of private savings     and the Ministry of Livestock and Fisheries. The
rates through lower inflation.                           Technology Transfer and Extension Administration
xxxiv      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




        (TTEA) is the responsible technical body for agri-                      increased fertilizer usage yields of wheat and every
        culture extension services. But the government                          other crop will remain at unacceptable levels.
        delivery of Livestock and Fishery extension services                         Learning from successful reforms in agri-
        do not appear to be contributing to significant                         culture markets: gum arabic and cotton produc-
        increases in productivity. Looking forward, there                       tion and trade saw significant increases after
        is a need to better involve the private sector in                       the relaxation of centralized marketing. In each
        delivering extension services.                                          case the Government had instituted monopolized
             One of the main inhibiting factors on the                          marketing structures in the past (monopsonies) in
        production side of crops is the very low level of                       the form of parastatal companies. As is often the
        fertilizer applications. In 2009 the average fertil-                    case with such companies, paying farmers less and
        izer use per hectare of cropland was 7.3 kg, which                      less for their products (independent of the world
        ranked Sudan at 129 among 155 countries. In the                         price) seems an easy path to profitability, until the
        same year, Ethiopia, Sudan’s poorer neighbor, used                      farmers stop harvesting or even planting their crops.
        17 kg (ranking 115). Available statistics indicate that                 That this happened can be seen in low yields of not
        Sudan used as much as 80 kg/ha in the mid-1970s,                        only both gum arabic and cotton, but also many
        and 70 kg/ha in the 1980s. While it is not entirely                     other agriculture products. As the monopsonies
        clear how the low fertilizer usage came about, it is                    were eventually relaxed and competition provided,
        clear that the decline in agriculture is associated to                  prices received by farmers increased substantially,
        fertilizer usage. Raising the bar of agriculture again                  and with them so did areas cropped and especially
        in Sudan, hence, requires efforts to stimulate fertil-                  yields. Cotton yields tripled nation nationwide in
        izer usage. All hindrances to fertilizer import and                     one year (2010/11), and in three years increased by
        distribution, for whatever reasons, need to be lifted,                  5 1/2 times—with no improvements in irrigation or
        and indeed current policy needs to be replaced by                       varieties. Such remarkable increases in agricultural
        government encouragement (and possible subsidi-                         yields show that poor agriculture performance is a
        zation at first) of fertilizer usage in order to restart                product of low fertilizer usage, weak varieties due
        this basic ingredient of modern agriculture; without                    to often local breeds of seeds, but also, and pos-
                                                                                sibly most importantly a lack of incentives for the
                                                                                producers.
                                                                                     Sudan has significant market power in global
        FIGURE S.16: Sudanese Products with Larger
                            World Market Shares, 2013                           export markets and regional markets in two
                                                                                product groups each. Sudan’s power in global
        40%
                                                                                markets for gum arabic and sesame seeds allude to
        30%                                                                     its role of being a price setter in those areas globally.
                                                                                In regional markets Sudan plays a similar role for
        20%                                                                     sheep and sheep meat, and on an emerging basis
        10%
                                                                                in waste and scrap of primary cells (Figure S.16).
                                                                                     First steps towards agro-processing: gum
         0%                                                                     arabic could lead the way and show how to com-
          1996 1998 2000 2002 2004 2006 2008 2010 2012
                                                                                bine success in raw material trade with increas-
                      Sheep            Sesame seeds         Gum arabic
                                                                                ing value-addition through the development of
                        Other meat of sheep,        Waste and scrap
                        fresh or chilled            of primary cells            processing capabilities. In order to do so, there is
        Source: World Bank staff own calculations, based on data used from UN
                                                                                a need to understand current constraints to process-
        Comtrade.                                                               ing products, and how to maximize value addition
                                                                   Summary of Findings and Policy Conclusions     xxxv




through combining processing solutions with smart        products and the basic value addition that they offer,
variations in producing the raw materials. Since         and provide a basis on which to build increased
value addition would have to come through com-           sales and value addition. Development of the sup-
panies and activities carried out by the private sec-    ply chain will also directly address the issues raised
tor, it is also important to look at broader business    by the overseas processors, and so help secure the
environment constraints to facilitate a shift towards    overall gum arabic trade and Sudan’s dominant
more value addition.                                     place in the trade (World Bank, 2015a).
     While Sudan is the largest producer of gum
arabic in the world, it has no significant added         Address broader business environment
value processing, a phenomenon observable in             constraints
most producing countries (World Bank, 2015a).
Hence, a core objective of the sector in Sudan is to     Broader business environment constraints would
increase the level of value addition at origin and       have to be tackled to facilitate the development
to increase the share of value-enhanced gum ara-         of an agro-processing and light manufacturing
bic products in the overall gum arabic trade from        sector since the business environment in Sudan
Sudan. This would lead to improved returns and           remains challenging. The 2014 Doing Business
hence increases in the price paid to producers for       (DB) report ranks Sudan 149 out of 189 economies,
the raw material.                                        ranking it marginally lower in comparison with
     The goal for gum arabic value addition              some of its regional neighbors (Kenya 129, Uganda,
should be to reach a level in Sudan that can pro-        132, and Ethiopia at 125). Enabling Sudan to benefit
duce spray dried material with high and defined          more fully from the export and growth opportuni-
levels of functionality, particularly in emulsions       ties offered by both the regional and global economy
and encapsulation (World Bank, 2015a). The pos-          requires: improving the business environment;
sibility to add functionality is important, as margins   facilitating trade and regional integration within the
are still not large for bulk sales of a standard pro-    Common Market for Eastern and Southern Africa
cessed spray dried gum arabic. Higher margins are        (COMESA) and the Greater Arab Free Trade Area
created through the production of spray dried mate-      (GAFTA); making credit more available and afford-
rial with high and defined levels of functionality,      able, especially to smallholders’; and addressing the
particularly in emulsions and encapsulation. World       skills gap. Governance and accountability prob-
Bank (2015a) argues that this requires management        lems also need to be addressed. Enhancing policy
and development of the raw material supply chain         certainty and predictability requires the reduction
to improve the quality of the crude gum related          and removal of the legal and regulatory hurdles to
to functionality, and to put in place a traceability     business.
system to allow maintenance of the identity and               Since 2008 Sudan has experienced a slight
integrity of batches of crude gum selected for, and      deterioration in the business enabling environ-
defined by, their particular quality attributes.         ment; the country lags behind the comparators in
     A strategy to increase the level of value addi-     getting credit and protecting investors, resulting
tion through the development of spray drying             in the lower rank for the ease of doing business
capacity must therefore also address the devel-          (Figure S.17). Sudan ranked at 170 for getting
opment of raw material quality and the supply            credit and 157 for protecting investors in the Doing
chain. This will also address the perceived quality      Business (World Bank 2014c). When it comes to
problems with kibbled and powdered material that         starting a business, Sudan’s performance is similar
result in current low levels of demand for these         to the comparator countries. Sudan ranked at 131
xxxvi      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




                     Doing Business 2014: Ranking
        FIGURE S.17:                                                                      (Figure S.18). The Doing Business (2014) ranking
                                  by Component, Sudan and                                  for Sudan (155th) on trading across borders is closer
                                  Selected Countries                                       to the ones for landlocked countries and slightly
        Mongolia
                                                                                           worse than the regional average for Sub-Saharan
                                                                                           Africa (SSA) (141). Landlocked countries, such as
        Indonesia
                                                                                           Uganda and Ethiopia in the comparators, often have
           Ghana                                                                           more penalties than non-landlocked ones in trading
          Uganda                                                                           across borders (Alvis et al. 2010). Sudan, with rela-
         Ethiopia                                                                          tively good port infrastructure, does not appear to
                                                                                           be taking full advantage of its geographic location.
           Kenya
                                                                                           It is notable that the cost to import is close to the
           Sudan
                                                                                           price for the neighboring comparator landlocked
                    0        25         50        75     100     125       150       175   countries.
                              Paying tax (rank)      Protecting investors (rank)
                                            Getting credit (rank)
                                                                                           Build human capital and increase female
        Source: World Bank staff own calculations, based on data from Doing
        Business (various years).
                                                                                           labor force participation to support
                                                                                           structural change

        for starting business while Kenya was at 134 and                                   There has not yet been a shift in employment
        Ethiopia at 166, respectively. The difficulties to                                 from agriculture and services towards manufac-
        running a business in Sudan lie more in the lack                                   turing, and there is a real lack of an educated
        of support to investors and business people than                                   work force to allow for effective diversification
        administrative procedure. The strength of investor                                 into new and higher value-added product areas.
        protection index is relatively low at 3.3 out of 10.                               Half of the population in Sudan has never attended
            For a country with sea access Sudan has                                        a formal school and only a tiny portion has some
        a relatively low ranking on the trade facilita-                                    post-secondary education. Only 15.8 percent of
        tion component of Doing Business indicators                                        the population have at most secondary school
                                                                                           education, and only 3.8 percent have some post-
                                                                                           secondary education. Not surprisingly, education
                     Trading Across Borders
        FIGURE S.18:                                                                      levels are substantially lower in rural than urban
                                  Indicator 2014, Sudan and                                areas and substantially lower for women than men
                                  Selected Countries                                       (Chapter 2.A). Increasing education levels across
        MON
                                                                                           all age levels would hence be an important long-
         IND                                                                               term contribution to broaden the human capital
        GHA                                                                                endowment in support of diversification of the
        UGA                                                                                economy.
         ETH                                                                                    But higher education levels in younger
        KEN                                                                                cohorts represent an opportunity for Sudan to
        SDN                                                                                shift employment into more productive sectors.
               0        25         50        75        100     125     150         175     Older parts of the population have lower education
                                                  Rank                                     than younger parts and the gender gap in educa-
        Source: World Bank staff own calculations, based on data from Doing
                                                                                           tion is smaller in younger cohorts than in older
        Business (2014).                                                                   ones. Individuals aged 20–29 have substantially
                                                                     Summary of Findings and Policy Conclusions               xxxvii




higher levels of education: one in ten has some post-   non-participation by men and by women who are
secondary education and a further one in three has      not homemakers. The pattern is visible for both
some secondary education. Yet, at present younger       men and women and in both rural and urban
workers are no more likely to work in industry,         areas. Discouragement is concentrated amongst
manufacturing, or services than their older compa-      respondents below median age, in line with a
triots, indicating that there is no capitalization on   global phenomenon of falling youth labor market
this opportunity (Chapter 2.A). By creating a more      engagement.
vibrant business environment the Government
could build the basis for thriving businesses in        Utilize remaining natural resource wealth
higher value-added segments of the economy, which       for agricultural revival
then could increase demand for younger, better-
educated members of the work force.                     Remaining natural resources in Sudan are likely
     Labor force non-participation is far higher        to provide some limited time-bound support to
for women than men. Many women are engaged              the efforts for diversification, but to consider
in home production and there appears to be some         the transient character of natural resources in
variance in whether they self-report this as work.      the post-2011 Sudan is prudent.
Looking at employment and labor force participa-            The oil projections to 2030, for instance, pro-
tion for five-year age cohorts shows that non-par-      vide a good example (Figure S.19). Certainly the
ticipation for females rises sharply across cohorts.    level will lower over the next one or two decades,
This pattern may reflect a life-cycle explanation in    and more significantly in the base case considered
which many women complete education and do              in this analysis, which is significantly lower than
not transition into the formal labor force. It may      the Government’s own projections (equivalent to
also reflect a cohort explanation in which younger      the high case). In either case, it seems inevitable
women are obtaining more education than their           that oil production will decrease to below 100,000
predecessors and will go on to enter the labor force.   bpd, but the question is whether this will happen
These explanations cannot be separately tested          now or in three, five or ten years
until additional waves of household survey data             The outlook for gold is slightly more opti-
become available. But the same pattern is not visible   mistic, and Sudan is projected to produce
for men, most of whom are either in schooling or
in the labor force. Younger men are slightly more
likely than older men to be neither studying nor        FIGURE S.19: Projected Domestic Crude Oil
in the labor force                                                          Production, Bpd
     The overwhelming majority of women that            180,000
                                                        160,000
are labor force non-participating report that           140,000
they are full-time homemakers or housewives,            120,000
which is not an uncommon reporting. But there           100,000
                                                         80,000
is a high number of discouraged job seekers that         60,000
show labor force non-participation. This pool of         40,000
                                                         20,000
untapped potential workers represents both a chal-
                                                              –
lenge and opportunity for Sudan. Almost 750,000                   2012 2014 2016 2018 2020 2022 2024 2026 2028 2030
working-age respondents are not employed, not                                      Base        High        Low
studying, and report that they perceive job search      Source: World Bank staff own calculations, based on data from Sudan
as useless. This accounts for a large majority of       Ministry of Petroleum 2014; IMF 2014c; and Wood Mackenzie 2013.
xxxviii                      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




                        Contribution of Natural
           FIGURE S.20:                                                                                 spotlight on fees that the Government obtains for
                                             Resources to Sudan‘s Economy                                the handling of South Sudanese transit oil. The
                                                                                                         analysis shows that this now has become at least as,
                               Gold’s contribution is growing                                            if not more, important than the domestic oil sector
                               but has been mainly to exports                       1999–2010
                                                                                                         in terms of exports (almost all South Sudanese oil
          Share of exports




                                                2025?                    2014
                                                                                                         is presently exported) and government revenues. In
                                   2014
                                                                                                         Figure S.20 this manifests as the red-line circle that
                                                    2014        2025?                                    is somewhat between the oil position of 1999/2010
                                            2025?
                                                                    Oil’s contribution is declining      and 2025. Under present arrangements, the GOS
                                                                    but transit fees lessen the impact
                               1999–2010                                                                 obtains fees from South Sudanese oil transportation
                                                Share of government revenue
                                                                                                         through Sudan at levels that yield a considerable
                                Share of GDP:       Oil    Including transit fees      Minerals
                                                                                                         fiscal surplus (after meeting tariffs charged by the
           Source: World Bank staff own visualization.
                                                                                                         operators of processing and transportation facilities
                                                                                                         in Sudan). Moreover, this source of fiscal revenues
                                                                                                         is not linked to oil prices, so it is largely protected
           between 18 to 28 tons annually over the next five                                             from the present oil price uncertainties.
           years—worth about US$750–US$1,130 million                                                          Notwithstanding the fiscal benefits obtained
           annually. The traditional sector will continue to be                                          from transit fees, these arrangements can only be
           the source of most gold produced in this period,                                              expected to be transitory. The time-bound charac-
           although the ability to sustain this contribution                                             ter is manifested in the fact that there are expiration
           beyond this five-year period is increasingly doubt-                                           dates of relevant agreements. At the same time, there
           ful. A more likely pattern is that industrial mining                                          are medium-term risks relating to i) an uncertain
           will become the main source of domestically mined                                             outlook for South Sudan’s production rate (as well
           gold after 2020. It is unlikely that production after                                         as uncertainty over TFA volumes if conflict in South
           2020 would be significantly higher than 18 to 28                                              Sudan persists for another year); and ii) the incen-
           tones estimated for the next five years.                                                      tives created for South Sudan’s oil to be used either
                The diminishing effects of both oil and gold                                             domestically or exported via an alternative route. As
           on Sudan over the next 10 to 15 years are obvi-                                               a consequence, Figure S.20 shows the combined
           ous. Figure S.20 provides a summary of the natural                                            contribution of the oil sector diminishing over the
           resource wealth analysis and shows how the contri-                                            medium term (to 2015) both in terms of exports
           bution of the both oil and gold to Sudan’s economy                                            and government revenues.
           might evolve in the medium term. The red large                                                     The Government’s emphasis on promoting
           circle shows the effects of the oil economy where                                             alternatives to the oil sector is well founded,
           oil was both a driver for exports and Government                                              and there have been early results in the form of
           revenues. This is likely to shift towards the lower left                                      the boom in gold exports. A policy of encourag-
           side over the next 10 years. Even in the high case                                            ing domestically produced gold to be exported offi-
           scenario for oil production this evolution is merely                                          cially so that foreign exchange could accrue to the
           slowed rather than changed. The same would be                                                 Government seems to have had success, at least in
           true of a higher oil price environment, however, at                                           the short term, even though a major driver of gold
           least in the short term the oil price is unlikely to                                          activity has been the gold price (Figure S.21) and
           provide much support.                                                                         the main supply response has been from the tradi-
                The constrained outlook for exports and rev-                                             tional mining sector, not the industrial mining sec-
           enues from domestic oil production places the                                                 tor. The main policy concerns about this strategy is
                                                                       Summary of Findings and Policy Conclusions              xxxix




the length of time it will be sustainable in the face     FIGURE S.21: Export Volumes of Gold
of lower gold prices and/or diminishing scope for                            Correlated with the Price
exploitation of gold by traditional methods.                                 (Index 2004 = 100)
     Traditional mining may, with sufficient sup-         800
port, provide a source of livelihood in rural areas       700
                                                          600
that may have few other sources of economic sup-
                                                          500
port. Traditional mining can create direct, indirect,     400
and induced demand for labor, goods, and services         300
in areas where few alternatives exist. With sufficient    200
mapping and resource evaluation it is likely possible     100
                                                            0
to identify areas that are sufficiently rich in gold so         2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
that traditional mining could be sustained for more                                                                1H
than a few years. Experience from around the world                         Gold price index          Export volume index

suggests that this planned approach is only likely        Source: World Bank staff own calculations, based on data from CBOS
                                                          2014; and Ministry of Mining and Natural Resources 2014;
to take place if traditional mining takes place on a
formalized basis, since this provides a basis for min-
ers to obtain legal title and hence finance.
     Industrial mining may take some time to              very unlikely to rival that of the oil sector in its
take off, however, such a development over the            heyday and its fiscal impact may be substan-
medium to long term would be more likely to               tially lower. These considerations are reflected in
provide a more balanced export and revenue con-           Figure S.19 by the modest increase indicated in
tribution to the economy than traditional mining.         export contribution and low increase indicated in
The Government has made promotion of industrial           the contribution to government revenues. There are
mining a priority and taken a number of measures          numerous scenarios that could unfold, including
to encourage investment in mineral exploration.           much less positive ones, in which a lower gold price
There are positive signs that the technical condi-        environment coupled with continuing constraints
tions on which industrial mining could develop are        on financing of major mineral projects means that
in place, backed by efforts of the Ministry of Mines      the recent gold mining boom wanes. Any sustained
to enhance the geological database. The mineral           program of reforms to make the industrial mining
rich Arabian Nubian Shield straddles Sudan and            sector more competitive and to strengthen regula-
several of its neighbors and has been host to min-        tory institutions would require strong leadership
ing activity over millennia owing to an abundance         and probably external support to enhance institu-
of accessible surface and near-surface deposits of        tional capability and effectiveness.
gold and other valuable minerals. Large-scale gold             Any more thorough evaluation of the contri-
and copper-gold mines developed in neighboring            bution of the mining sector to economic develop-
Egypt, Eritrea and Saudi Arabia provide reason for        ment in Sudan would have to take into account
optimism. However, the degree to which Sudan has          negative externalities such as harmful environ-
been explored using modern techniques to establish        mental and social impacts. At this stage, impacts
the viability of mechanized mining and to detect          of this kind arise mainly in the context of traditional
deeper lying deposits remains very limited.               gold mining, though adequate regulatory care will
     Overall, the contribution of mining to               be needed to ensure that further development of
Sudan’s economy over the medium term could                the industrial mining sector does not generate an
be positive, however, the scale of the sector is          excessive environmental and social burden. There
xl     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     is already evidence that traditional gold mining                              of the state-level grain storage; and (3) efforts to
     places the environment, as well as the health and                             increase the education level of the population to
     safety of laborers and their dependents, at some risk,                        increase the human capital endowment to support
     given its very rapid and widespread proliferation.                            diversification.
     It will be important for such risks to be managed
     carefully to ensure that a good balance is achieved                           Summing it All Up
     between economic opportunity and environmental
     and social threat.                                                            The primary objective of this CEM is to support
         At the very least the remaining natural                                   efforts by the Government of Sudan to transi-
     resource wealth available through oil and gold                                tion towards a more diversified and “pro-poor”
     could be used to finance three of the more                                    economy. Table S.02 summarizes the main find-
     cost-intensive recommendations developed                                      ings and argues that there is an opportunity to
     in this study. These were: (1) The rehabilita-                                better align more consistent policies for economic
     tion of the Gezira scheme; (2) the establishment                              development.



     Table S.02: Summary of Main Findings and Recommendations
      Findings                          Recommendations
      No lasting structural change      Remove exchange restrictions and enhance policy consistency
                                        •	 Unify official with black-market rate and maintain a neutral real exchange rate through low inflation
      High and volatile inflation       •	 Lower budget deficits and lessen reliance on domestic deficit finance
                                        •	 Allow more resilient investment financing through higher domestic savings
      Weak resource management,         •	 Limit use of financial sector interventions for specific sector promotion
      budget deficits and low savings
                                        Improve the management of natural resource rents
      Long history of overvalued real   •	 Establish a sound medium-term outlook on natural resource revenues
      exchange rate                     •	 More effective volatility management

      Extremely low productivity in     Increase agriculture productivity through a set of key (policy) changes
      agriculture                       Agriculture policy changes
                                        •	 Rethink centralized marketing of agriculture products and learn from recent gum arabic and cotton experience,
                                           where centralized marketing channels were broken up.
                                        •	 Gradually decrease subsidy on domestic wheat production (capitalizing on the recent reform to abolish the
                                           preferential wheat exchange rate).
                                        •	 Diversify wheat imports to lower the wheat import bill.

                                        Agriculture investments
                                        •	 Promote fertilizer usage.
                                        •	 Establish modern state-level grain storage.
                                        •	 Prepare for rehabilitation of the Gezira scheme.
                                        •	 Strengthen agriculture extension services and better leverage the private sector.

                                        Pilot the move from agriculture to agro-processing
                                        •	 Pilot gum arabic spray-drying in combination with increasing the value of raw material.
                                        •	 Apply lessons from pilot for other successful raw exports such as sesame, cotton, and livestock.

      Highly concentrated export        Address broader business constraints to create space for structural transformation
      markets                           •	 Facilitate access to credit
                                        •	 Strengthen investor protection
                                        •	 Reduce cost to import

                                        Build human capital to support skills-intensive modern services and reduce spatial disparities
                                        •	 Increase education levels across all age levels to broaden the human capital endowment for a diverse economy
                                        •	 Increase labor force participation for women, which is far lower than for men.
                                                                     Summary of Findings and Policy Conclusions      xli




    To underpin the findings and recommenda-                   promote exports and growth. The inflation rate
tions described in this summary, the CEM ana-                  is highlighted as a key variable to influence the
lyzes Sudan’s economy and its challenges in five               level of the real exchange rate.
interlinked chapters.                                      3.	 Agriculture: key for economic diversification: This
                                                               chapter reviews agricultural production and yield
1.	 What kind of growth and diversification suits              trends, analysis how markets work in the sector
    Sudan? This presents the economic and sectoral             and which products are traded most. It concludes
    scenarios to 2030 to identify a sectoral focus             with a description of agriculture support services.
    for this analysis. It also contains a short base-      4.	 Building endowments through trade: goods and
    line in the form of other country experiences              services. Here trade patterns and goods export
    in promoting growth and poverty reduction.                 performance are reviewed to identify Sudan’s
    The crucial role of institutions critical to diver-        main trading products and markets. The role
    sifying the endowment base of an economy                   of business services is analyzed and highlighted
    will be highlighted. Finally, some lessons are             as another key element for diversification. The
    drawn for Sudan’s way to grow and diversify                chapter concludes with an outlook about the
    its economy.                                               potential for future (export) diversification.
2.	 Structural change and the role of the real exchange    5.	 Natural resources: still important but not dominant
    rate for exports and growth. This chapter will first       anymore: This chapter analysis both the oil and
    provide evidence from the labor market on the              gold sectors in the country in two separate sub-
    lack of structural change in the economy. Then             chapters. It concludes with a combined fiscal
    it will show the role of the real exchange rate to         and economic outlook of both.
                             WHAT KIND OF GROWTH AND
                           DIVERSIFICATION SUITS SUDAN?                                    1
This beginning chapter of the CEM sets the stage for the analysis, and presents various approaches and
lessons from other countries in relation to achieving economic growth through diversification. It starts
out with presenting the results of a simulation model of the CGE (Computable General Equilibrium) type
developed at the World Bank for medium- and long-term policy analysis. The model is used in two
ways. First, to look at the sectoral structure of the economy now to 2030 to identify sectors of focus of
the analysis. Simulations suggest that in the absence of dominant resource-based exports, growth must
be centered on sectors producing tradables that are exported and/or that replace imports. Second,
to present a series of alternative scenarios to show the impact of key changes in the economy such as
increased TFP growth and the effects of normalization of Sudan’s relations with the rest of the world
that would, for instance, lead to an increase in Sudan’s terms of trade and foreign aid. The non-base
scenarios point to the beneficial effects of agricultural productivity growth, showing also that the role
of agriculture would likely become more prominent in a setting with a supportive, depreciated real
exchange rate

The second part of the analysis in this chapter looks at the 2008 Growth report to identify the “ingredients
for growth” from the countries analyzed in 2008 (World Bank 2008a). It finds that Sudan’s performance
vis-à-vis the “ingredients of growth” is mixed, and between 2000 and 2011 was heavily dependent on the
effects of the oil economy. The same section also explores the question on how to achieve “pro-poor”
growth. It finds, given that poverty in Sudan is deep and largely a rural phenomenon, the agriculture sec-
tor is crucial for efforts to reduce poverty.

The third part of this first chapter looks at a recent report about “Diversified Development” (World Bank,
2014d), which argued that diversification of an economy should be perceived as the diversification of its
endowments rather than the production base. The section then follows the analysis presented in World
Bank (2014d) and looks, at the triad of institutions that was instrumental in other countries to diversify
the endowment base. It finds that Sudan’s ability to manage natural resource rents is limited; yet, natural
resources have also declined in importance to fiscal revenues. Still, more effective volatility management
within a fiscally sustainable framework requires a medium-term outlook on natural resource revenues.
The analysis also shows that Sudan’s ability to provide public services is a constraint. Historically, GDP
growth in Sudan was rarely driven by enhancements in total factor productivity, which would indicate a
rising role of human capital formation in the growth process. And human capital formation depends on
the effective provision of services. In that regard, Sudan has undergone a process of decentralization
that assigned basic service provision to subnational levels. Since fiscal decentralization is lagging behind,
                                                                                        (continued on next page)
2     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




       however, states do not have the ability to live up to their responsibilities and outcomes for instance for
       education are both low and with a large variability across states. In addition, conflict, governance and
       debt are all complicating factors for government to effectively deliver services. Finally, the government’s
       ability to regulate economic activity is being assessed by looking at the business-enabling environment.
       This environment has stagnated or even slightly deteriorated since 2008, which is a key factor that holds
       back private activities in support of the Government’s diversification agenda. The picture here is also
       being complicated by the economic and financial sanctions imposed on Sudan.

       The chapter concludes that there is a case for Sudan to follow an approach to growth and diversifica-
       tion that pursues both diversification of the production base and of the endowment base. Agriculture is
       important for “pro-poor” growth and has also great potential to realize quick wins due to its extremely
       low productivity at present. Trade in goods and services can be seen as an important vehicle to broaden
       the endowment base and to connect Sudan with international production networks. But lack of skills and
       skills mismatches indicate that diversifying the human capital base with advances in education is important
       to support trade in manufactured goods and higher-value added business services. Finally, extractives are
       still important in Sudan, although they are no longer dominant; still, a good assessment of the potential
       is a prerequisite for sound future natural resource management.




       Pathways to the Future: Economic
    A.                                                          Looking forward: The base scenario to 2030
       and Sectoral Scenarios to 2030
                                                                 The base scenario assumes that, for the period
    This analysis develops a base scenario for                   2013 to 2030, annual growth in GDP at factor cost
    Sudan designed to represent a central case for               is at 4.1 percent. GDP at factor cost growth is above
    the evolution of Sudan’s economy up to 2030,                 the growth rates for absorption (the sum of private
    and compares this case to a set of alternative               and government consumption and investment) and
    scenarios to show how development paths                      private final demands (private [or household] con-
    may differ under alternative assumptions. The                sumption and private investment) due to export
    analysis is important because it highlights the pos-         growth in excess of import growth, driven by real
    sible impact of key policy changes on the goal of            exchange rate depreciation. Among macro items, only
    economic development in Sudan. By construction,              government investment grows more rapidly than
    the base scenario matches the broad developments             GDP, a reflection of the fact that it starts at a very low
    of the economy anticipated in recent World Bank              level. A change in sector structure is needed to put
    and IMF reports (World Bank 2014a–g; and IMF                 an end to unsustainable foreign government borrow-
    2014a–c). The non-base scenarios address domes-              ing, particularly against the backdrop of a projected
    tic issues (agricultural productivity growth and the         decline in gold export prices. Annex 1 has detailed
    real exchange rate) and the effects of normalized            results for the base scenario and other scenarios sum-
    relations with the rest of the world. Apart from             marized in Tables 0.5–0.9 and 1.1.1–1.1.5.
    standard macroeconomic indicators, the analysis                   Sudan switches from being a net exporter
    also highlights the impact of alternative scenarios          to net importer of oil in 2018–2019. As a result,
    on sectoral developments.                                    the recent oil price decline and projected low price
                                                            What kind of growth and diversification suits Sudan?                     3




level up to 2030 (compared to 2012) has a posi-          growth for public investment (which starts at merely
tive impact on Sudan’s economy. GDP growth is            1.5 percent of GDP) (Figures 2.1.3 and 2.1.4).
primarily due to increased factor employment. In              Within production sectors, annual growth
per capita terms, projected growth rates are around      rates are close to 4 percent except for stronger
2.2 percentage points lower (i.e. 1.9 percent), given    growth for agriculture and negative growth
projected annual population growth at this rate. The     for the mining sector (petroleum and gold).3
growth rates for employment and private per-capita       Agriculture growth benefits most strongly from
consumption are still sufficient to reduce the unem-     improved incentives due to exchange rate deprecia-
ployment and poverty rates, respectively.                tion. On the other hand, the two mining sectors,
     The shares of exports and gross national            petroleum and gold, show negative growth due to
savings in GDP will increase significantly from          natural constraints of resource availability (Annex
2012 to 2030 (Annex 1, Table 0.6). In spite of           1, Table 0.9). Over time, growth is also quite stable,
moderate import growth and low foreign borrow-           initially relatively low for relatively non-traded
ing, the import and foreign debt GDP shares both         sectors (public services and other industry) since
increase due to exchange rate depreciation. In the       they do not benefit from the improved incentives
government budget (Annex 1, Table 0.7), a com-           due to exchange rate depreciation (Figures 2.1.5
parison between GDP shares data for 2012 and             and 2.1.6).
2030 indicates that the receipt shares for taxes and          The sectoral structure of Sudan’s economy
domestic transfers increase while both foreign and       shows growing importance of agriculture, less
domestic borrowing decline; on the spending side,        importance of extractives, and relative stability
investment increases strongly while subsidies (for       of other sectors (manufacturing, services) by
petroleum products) decline, reflecting a projected      2030. Annex 1, Table 0.10 compares 2012 data to
policy change. In the balance of payments (Annex 1,      simulated base results for 2030 in terms of sector
Table 0.8), the GDP shares in 2030 compared              shares in exports, value-added, employment, and
to 2012 are boosted by exchange rate deprecia-           imports as well as, for each sector, the output share
tion; among outflows, the main change is higher          destined for exports and the demand share met by
imports while, among inflows, the main changes           imports. The main changes by 2030 include:
are increases for exports and private transfers, while
borrowing and FDI are lower.                              Increased prominence for the agricultural sec-
     Looking at the components of domestic                  tor: its shares in exports, value-added, and
demand, public investment is projected to have              employment all increase (most dramatically
the strongest initial and overall growth, albeit            for exports) while its share in total imports falls
starting from a very low level. Figures 2.1.2 to            and imports meet a smaller share of domestic
2.1.5 show the evolution over time for the level of         demand for agricultural products;
real macro aggregates (at 2012 constant prices).          Reduced importance for extractives, especially in
While expansion in GDP at factor cost is relatively         exports but also in value added and employ-
smooth, absorption initially declines when exports          ment, combined with increased reliance on
initially increase and imports contract to address          imports to meet domestic demands; and
external imbalances (Figures 2.1.2 and 2.1.3).
All domestic final demands (private and public
consumption and investment) decline in 2013              3
                                                           These relatively uniform growth rates across sectors are in part due to
                                                         scenario assumptions, including relatively uniform rates of productiv-
after which growth is positive during the rest of        ity growth. The patterns of future deviations from these assumptions
the period, with the strongest initial and over-all      are difficult to predict.
4     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     Relatively small changes in other sectors, even           Looking forward: Alternative scenarios
        though manufacturing and private services
        both become slightly more open, with increased           Two main alternatives scenarios are tested for
        shares in total exports and imports, larger shares       Sudan’s economy, addressing (i) the potential
        of output going to exports and imports meeting           role of agriculture as the economy enters an era
        larger shares of domestic demand.                        in which oil only will play a marginal role and
                                                                 only in part is replaced by gold; and (ii) the effects
        The simulations show the strongest growth                of a potential normalization of relations with the
    rates for from sectors that are capable of pro-              outside world. Accordingly, the non-base scenarios,
    ducing internationally competitive tradables.                defined in Annex 1, Table 0.4, are divided into two
    While the simulations cannot provide an accurate             groups. (1) The first focuses on issues related to
    and detailed picture of the future sector structure          the responses of the economy to policies leading to
    of Sudan’s economy—such a picture would require              stronger TFP growth for crop agriculture and depre-
    knowledge about too many unknowns—it can high-               ciation of the real exchange rate. (2) The second
    light some of the main trends. Simulations suggest           group addresses channels through which normal-
    that in the absence of dominant resource-based               ized foreign relations may influence the economy:
    exports, growth must be centered on sectors pro-             improved terms of trade (via higher export prices
    ducing tradables that are exported and/or replace            and lower import prices as Sudan’s access to markets
    imports. It is therefore noteworthy that a sectoral          improves); increased aid; and debt relief.
    focus of this CEM is to look at agriculture and trade             During the oil boom, Sudan’s real exchange
    of goods and services as a means to grow the endow-          rate appreciated, penalizing production of
    ments base of the country.                                   non-oil tradables, a phenomenon commonly
        Assuming more optimistic extractive sector               known as “Dutch disease,” but this is now being
    developments in the base scenario has only a                 reversed. Unless major new natural resources are
    marginal impact, further underlining the impor-              uncovered and exploited, Sudan will in the future
    tance of the development of a non-extractive                 reverse this trend, as indicated by the pattern of sec-
    productive sector for tradables. In order to test            toral growth for the base scenario, including above
    the sensitivity of the results to the assumptions for        average growth for agriculture. In this new external
    the mining sector (including an early decline in oil         environment, the prospects for high payoffs from
    production and declining gold export prices; see             policies supporting agricultural growth are better.
    Figure 1.2.1), a more optimistic scenario (named
    Mining+) was tested. It is identical to the base except      Simulating increased TFP growth for crop
    for that (i) gold export prices stay constant in real        agriculture (Crop+), stagnant private
    terms up to 2030 (instead of declining during the            transfers (Rem–), and these two simulations
    period 2016–2025 at an annual rate of 3 percent);            combined (Crop+Rem–)
    and (ii) oil production follows the high case shown          TFP growth has a strong positive impact and
    in Chapter 5. The results, which are summarized              the decline in remittances a negative impact on
    in Figures 1.2.2, 1.2.3, and 1.2.4, suggest that             GDP at factor cost, imports, and domestic final
    Mining+ would marginally raise the growth rates              demands. The simulation combining the two pre-
    for GDP (+0.1 percent) and private consumption               dictably has a more muted effect (Figure 1.2.5).
    (+0.2 percent) and mitigate the required change in           For all three simulations, exports are boosted due
    sector structure. Nevertheless, the effects would be         to stronger TFP growth for a major tradable sec-
    quite marginal.                                              tor (Crop+), improved export incentives due to
                                                                                                                                             What kind of growth and diversification suits Sudan?                       5




 FIGURE 1.1: Model Base Scenarios: Selected Indicators, 2012 to 2030
                                                  1) Base: Selected macro indicators (2012 SDG mn)                                                     2) Base: Selected macro indicators (Index; 2012 = 100)
                                     700                                                                       80                             300
Absorption and GDP at factor cost




                                                                                                                                              250
                                     500                                                                       60




                                                                                                                       Exports and imports
                                                                                                                                              200
                                     300                                                                       40
                                                                                                                                              150
                                     100                                                                       20
                                                                                                                                              100

                                    –100                                                                       0                               50
                                           2012      2015       2018      2021        2024    2027      2030                                        2012       2015     2018     2021        2024     2027       2030
                                                                           Absorption             GDP at factor cost                                 Exports               Imports

                                                  3) Base: Domestic final demands (2012 SDG mn)                                                          4) Base: Domestic final demands (Index; 2012 = 100)
                                     350                                                                       80                             500

                                                                                                                                              400
Private consumption




                                                                                                                       Other final demands
                                     250                                                                       60
                                                                                                                                              300
                                     150                                                                       40
                                                                                                                                              200
                                      50                                                                       20
                                                                                                                                              100

                                    –50                                                                        0                                0
                                           2012      2015       2018      2021        2024    2027      2030                                        2012       2015     2018     2021        2024     2027       2030
                                                            Private consumption              Public consumption                                Private investment                Public investment

                                                   5) Base: Aggregated sector GDP (2012 SDG mn)                                                         6) Base: Aggregated sector GDP (Index; 2012 = 100)
                                     350                                                                       40                             300
Agriculture and private services




                                     250                                                                       30
                                                                                                                                              200
                                                                                                                       Other sectors




                                     150                                                                       20
                                                                                                                                              100
                                      50                                                                       10

                                    –50                                                                        0                                0
                                           2012      2015       2018      2021        2024    2027      2030                                        2012       2015     2018     2021        2024     2027       2030
                                              Agriculture          Private services          Manufacturing          Other industry                             Public services        Gold           Petroleum

 Source: World Bank staff own calculations using the MAMS Sudan Model.



 depreciation (Rem–), and both of these effects                                                                           depreciation. The other sectors that are most
 combined (Crop+Rem–). GDP growth, total and                                                                              strongly affected—manufacturing, other industry,
 for most sectors, is positively affected by higher TFP                                                                   and private services—are influenced by domestic
 growth for crops, also when it is combined with                                                                          demand developments. Gold is the only sector that
 lower remittances (Figure 1.2.6).                                                                                        shrinks when agricultural productivity is boosted,
     Among individual sectors, crop agriculture                                                                           a reflection of its export orientation and the wors-
 gains most, not only when targeted but also                                                                              ening of export incentives. Also in terms of export
 when a decline in remittances leads to real                                                                              growth, the agricultural sector gains under all three
6     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




    simulations (Figure 1.2.7). Other tradables with             depreciation would be needed to facilitate stronger
    export flexibility (livestock and gold) respond to           export performance.
    major changes in the real exchange rate, contracting
    exports under Crop+, expanding them under Rem–,              Normalization of relations with the rest of
    and with only minor changes under Crop+Rem–.                 the world
         In sum, the simulation results suggest that             The “normalization” simulations capture effects
    agricultural TFP growth has a generally positive             via three channels, initially introduced sepa-
    impact on macro indicators and sectoral growth.              rately—improved terms of trade (the simulation
    However, given that it leads to appreciation of the          TofT+), increased aid (Aid+), and foreign debt
    real exchange rate, it may discourage other exports.4        relief (Debt-)—and subsequently combined in
    Export growth across all relevant sectors is boosted         one simulation (Normal). Given that this quan-
    by smaller foreign exchange inflows from a non-              tification at best is highly approximate, the results
    trade source (here with lower worker remittances             should be viewed as input into thinking on these
    as an example), but in this case the impact on other         issues as opposed to offering precise impacts.
    macro indicators and sector growth tends to be nega-              Normalization simulations show that terms-
    tive, with the exception of strongly export-oriented         of-trade improvements (TofT+), raise GDP
    sectors. In the context of lower remittances, higher         growth by 0.2 percentage points. In fact it has a
    agricultural TFP growth mitigates or may even over-          more positive impact on absorption (increase by
    come (depending on its strength) the negative macro          0.4 percentage points), reflected in higher private
    effects of the loss in remittances. Stronger agricul-        consumption and investment; growth for gov-
    tural TFP growth also has significant positive effects       ernment consumption and investment are kept
    on poverty reduction and employment.                         unchanged (Figures 2.2.9 and 2.2.10).
         The simulation also points to the importance                 Simulations also show that the 2030 unem-
    of the real exchange rate as a factor that works for         ployment and poverty rates would be signifi-
    or against export growth. This is consistent with            cantly lower in the normalization scenario than
    the analysis presented in section 2.B of this report. In     for the base scenario. The government is able to
    order to further explore this aspect, MAMS was used          reduce the tax rates and the tax intake (as share of
    to run a set of hypothetical simulations for 2013            GDP) given that higher growth generates higher
    which simultaneously had the real exchange rate              revenues while two major spending items, govern-
    depreciate and additional foreign exchange reserves          ment consumption and investment, are fixed in real
    put aside by the financial system. Figure 1.2.8 shows        terms, reducing financing needs relative to GDP.
    a positive and near-linear relationship between the               The effects of increased aid are positive but
    export quantities (both total and sectoral); in the          modest. The effects of increased aid (Aid+) are
    background, the maximum depreciation, at almost              positive but, at the envisaged levels additional
    22 percent, is associated with an addition to foreign        grants and borrowing, very modest, raise most
    reserves corresponding to close to 6 percent of GDP.
    According to the simulation results, the elasticities
                                                                 4
                                                                   As an aside, for Sudan and other countries, different sources of
    of real exports with respect to the real exchange rate       foreign exchange earnings tend to compete for space in the basket of
    are around 0.7 for manufacturing, private services,          foreign exchange sources. The fact that after 1999 the expansion of
                                                                 Sudan’s oil exports depressed exports from other sectors is an obvious
    and total exports but much higher (around 2.1) for           example. However, this displacement effect is weaker if the expan-
    agriculture. These findings are consistent with the          sion of exports for one sector is associated with expansion of foreign
                                                                 exchange outflows, for example due to the importation of intermediates
    observed downturn for the agricultural sector dur-           or profit remittances (if the sector has significant foreign ownership)
    ing the period of oil boom and suggest that real             or if foreign exchange is set aside to add to foreign reserves.
                                                                                                                           What kind of growth and diversification suits Sudan?                                                 7




FIGURE 1.2: Model Alternative Scenarios: Selected Indicators, 2012 to 2030
                                   1) Oil and gold export prices (constant US$)                                                                    2) Base and alternative mining scenario:
                                             and production quantities                                                                                  GDP and private Consumption
                   1.2                                                                                                      210
                   1.1                                                                                                      200
                                                                                                                            190
                   1.0                                                                                                      180




                                                                                                        Index 2012 = 100
Indiex: 2012 = 1




                   0.9                                                                                                      170
                                                                                                                            160
                   0.8                                                                                                      150
                   0.7                                                                                                      140
                                                                                                                            130
                   0.6                                                                                                      120
                   0.5                                                                                                      110
                                                                                                                            100
                   0.4                                                                                                       90
                         2012       2015      2018        2021    2024      2027       2030                                       2012       2015     2018      2021                           2024       2027     2030
                                      Gold (production)             Oil (production)                                                     Private consumption (Base)                                     GDP (Base)
                                      Gold (export price)           Oil (export price)                                                   Private consumption (Mining+)                                  GDP (Mining+)

                                     3) Base and alternative mining scenario:                                                                      4) Base and alternative mining scenario:
                                              Sector export shares                                                                                       Sector value-added shares
                    80                                                                                                       45
                    70                                                                                                       40
                    60                                                                                                       35
                    50                                                                                                       30
                                                                                                                             25
                    40
%




                                                                                                        %
                                                                                                                             20
                    30                                                                                                       15
                    20                                                                                                       10
                    10                                                                                                        5
                     0                                                                                                        0
                             Agriculture       Mining       Manufacturing        Private
                                                                                                                                     Agriculture


                                                                                                                                                      Mining


                                                                                                                                                                   Manufacturing


                                                                                                                                                                                           Other
                                                                                                                                                                                         industry

                                                                                                                                                                                                       Private
                                                                                                                                                                                                      services

                                                                                                                                                                                                                      Gov't
                                                                                                                                                                                                                   services
                                                                                services



                                                                       2012            2030 (Base)                            2030 (Mining+)
                                             5) Export simulations:                                                                                   6) Export simulations:
                                Macro growth (devation from base) (%-age points)                                                         Macro growth (devation from base) (%-age points)

            Absorption                                                                                            Crop
                                                                                                             Livestock
       Private
 consumption                                                                                                      Gold
       Private                                                                                              Petroleum
   investment
                                                                                                        Manufacturing
                   Exports                                                                              Other industry
                   Imports                                                                            Private services
                                                                                                  Government services
                 GDP at
             factor cost                                                                                         Total
                         –1.5 –1.0 –0.5            0      0.5    1.0    1.5      2.0       2.5                                     –1.0            –0.5        0                   0.5      1.0       1.5        2.0      2.5
                                                                              Crop+              Rem–                         Crop+rem–

                                                                                                                                                                                            (continued on next page)




macro growth rates, including private demands                                                              are used to raise the trade deficit and to pay addi-
(consumption and investment) and imports, by                                                               tional interest.
0.1–0.2 percentage points (Figure 1.2.9). In the                                                               Foreign debt relief has a strong impact, lead-
balance of payments, increased government inflows                                                          ing to declining export growth and accelerating
8      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




    FIGURE 1.2: Model Alternative Scenarios: Selected Indicators, 2012 to 2030 (continued)
                    7) Export simulations: Sectoral export growth                                                                                 8) Real exchange rate and
                         (devation from base) (%-age points)                                                                                   export quantity (index base = 100)

                Crop                                                                                                       160

          Livestock                                                                                                        150




                                                                                                 Export quantity index
                Gold                                                                                                       140
                                                                                                                           130
          Petroleum
                                                                                                                           120
     Manufacturing
                                                                                                                           110
    Private services
                                                                                                                           100
                Total                                                                                                        100           105            110          115      120        125
                                                                                                                                                 RER index (SDG/Foreign currency)
                    –3       –2     –1    0         1    2     3       4    5         6                                                   Agriculture           Mining         Manufacturing
                                  Crop+             Rem–           Crop+rem–                                                                          Private services        Total

                         9) Normalization simulations:                                                                                           10) Normalization simulations:
                Macro growth (deviation from base) (%-age points)                                                                      Sector growth (deviation from base) (%-age points)

      Absorption                                                                                                         Agriculture

          Private
    consumption
          Private                                                                                                        Petroleum
      investment
          Exports
                                                                                                    Other industry
         Imports
          GDP at
      factor cost                                                                                Public services

                –2.0         0      0.2       0.4      0.6     0.8      1.0     1.2                                              –0.2          0          0.2          0.4       0.6        0.8
                                                                        Toft+             Aid+                               Debt–           Normal

          11) Normalization simulations: Real household consumption                                                                             12) Normalization simulations:
          per capita, 2012–2030 (% deviation from base in same year)                                                                           Poverty rate in 2012 and 2030 (%)

    18                                                                                                            48
    16                                                                                                            46
                                                                                                                  44
    14                                                                                                            42
    12                                                                                                            40
                                                                                                                  38
    10                                                                                                            36
     8                                                                                                            34
     6                                                                                                            32
                                                                                                                  30
     4                                                                                                            28
     2                                                                                                            26
     0                                                                                                            24
         2012       2015          2018     2021         2024         2027     2030                                22
                                                                                                                  20
                     Toft+            Aid+            Debt–            Normal                                                  2012        Base       TofT+     Aid+         Debt–     Normal

    Source: World Bank staff calculations using the MAMS Sudan Model.



    import growth. Foreign debt relief (Debt-) has                                                   increases by 0.3–0.4 percentage points for absorp-
    a stronger impact—GDP growth increases by                                                        tion, private consumption, and private investment
    0.2 percentage points while export growth declines                                               (Figure 1.2.9). The driving force and the main
    and import growth accelerates, permitting growth                                                 change in the balance of payments is a decline in net
                                                              What kind of growth and diversification suits Sudan?            9




interest payments on foreign debt. By 2030, the total     of about 7 percentage points in 2030 compared
foreign debt would be 37 percent of GDP, compared         to the base scenario. Figure 1.2.11 summarizes
to above 114 percent for the base scenario. For the       the simulated welfare impact of normalization,
government, lower foreign interest payments make          which translates into a 16 percent increase in real
it possible to reduce taxes (Table 2.3). Alternatively,   household per-capita consumption in 2030, with
the government could raise spending. Whether this         the strongest impact from improved terms of trade,
would lead to better social and economic outcomes         followed by debt relief and increased aid. The
depends on the relative marginal efficiencies of gov-     increases in household consumption bring about
ernment vs. private spending in terms of contribut-       a 7 percentage point reduction in poverty in 2030
ing to Sudanese development objectives; it is beyond      compared to the base scenario (Figure 1.2.12). At
the scope of this analysis to address this issue          the very least, normalization would significantly
     Combining all normalization changes under            soften the challenge of adapting Sudan’s economic
one simulation shows cumulative gains in many             structure so that it can thrive in the post-oil era,
macro indicators compared to the base scenario            most importantly via a revival of agriculture and
(Figure 1.2.9). The combined result of debt relief        other tradable sectors.
and higher foreign borrowing would lead to a 2030
foreign debt at 46 percent of GDP, compared to            B.  Components of Inclusive Growth
37 percent when debt relief is introduced without
an increase in foreign borrowing (Debt-). For the         a.  Ingredients for growth
government, the increases in receipts from foreign
sources is used to reduce taxation, which in 2030 is      International experience
merely 6.9 percent of GDP (compared to 10.3 per-          Economic growth is a necessary condition for
cent for base), other things being equal permit-          economic and social development of any country
ting higher private consumption and investment.           and key for poverty reduction (Dollar and Kraay,
Alternatively, the government could raise spending.       2002). But one of the key issues of a majority of the
     At the sector level, normalization leads to          low-income countries is how to boost economic
a diverse set of responses with the strongest             growth and how to maintain it for a longer period
gains for sectors that primarily meet domes-              of time in order to catch up with the middle- and
tic demands. Among the production sectors                 high-income countries. One of the most influential
(Figure 1.2.10), the real growth is unchanged for         analyses in this field is the Growth Report of 2008
mining (which are constrained by the availability         (World Bank 2008), which underlies this section
of natural resources). The gains are relatively weak      of the report.
for government services (due to the fact that they             Looking at a set of high-growth economies
primarily meet government demands, which are              of the past, the Growth Report 2008 identified
unchanged in real terms) and agriculture (which is        common characteristics of successfully applied
negatively influenced by real exchange rate appre-        growth models—the “ingredients of growth”—
ciation, compared to the base). The growth gains          to inform policy formulation around the world.
are stronger for the relatively non-traded private        The Growth Report analyzed the experiences of the
service and other industry sectors, which primarily       thirteen fastest growing economies5 in the world
are driven by domestic demand.
     In sum, the welfare impact of normalization
                                                          5
                                                            Botswana, Brazil, China, Hong Kong – China, Indonesia, Japan,
is largely positive, with increased household con-        the Republic of Korea, Malaysia, Malta, Oman, Singapore, Taiwan –
sumption leading to a decline in the poverty rate         China, and Thailand.
10     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     that managed to sustain their growth rates of at             is identified as key for the growth process in any
     least 7 percent in the last 25 years (or sometimes           economy. And the single most important govern-
     longer). Six of these thirteen economies even man-           ment support for having competitive markets is to
     aged to reach the per-capita income level of indus-          keep entry and exit barriers of markets low. This
     trialized economies.6 There are seven “ingredients           allows progressive and innovative firms to more
     of growth” that could be particularly relevant for           easily enter markets, which contributes to bring-
     post-secession Sudan.                                        ing about new technology, products, and services.
          For an economy to grow there is a need                  More importantly, easy entrance of new and effi-
     for high levels of investment and savings. This              cient firms has a spillover on incumbent firms in
     “ingredient” of growth is related to the need for an         that it increases the need to raise the levels of their
     initial accumulation of resources that can be used           efficiency to stay in the market.
     later on in the production of goods and services.                 Policies that allow flexible labor markets to
     Typical for the high growth economies is that                form and match supply and demand have been
     their overall investments (public and private) are           growth enhancing in other countries. The Growth
     around 25 percent of GDP. Within this envelope               Report argues that governments should support
     and especially shown by some of the successful               labor market flexibility in a view that this supports
     Asian countries (China, Thailand, and Vietnam),              the goal of structural change in the economy. It is
     the public investment in the infrastructure sector           further argued that policy measures that enable
     was between 5 and 7 percent of GDP. The Growth               workers and employers to more easily match each
     Report 2008 emphasizes the importance of domestic            other are particularly important. Sudan’s experience
     savings as a counterpart of investments. Attracting          in pursuing structural change from the perspective
     FDI is important in that regard, but the Growth              of labor markets is analyzed Chapter 2.A; it shows
     Report argues that an economy should not only rely           that Sudan’s record in furthering structural change
     on foreign savings to avoid vulnerability to fluctua-        and moving employment from low to higher value-
     tions in inflows, especially in downturn periods. The        added activities is very limited.
     importance of domestic savings is their stability and             Export-led growth is associated with high-
     relative predictability. Sudan’s experience in match-        growth countries, especially if it is of a diversi-
     ing savings and investments is analyzed in Chapter           fied nature. The export sector played a critical role
     1.C; it will show that Sudan’s savings rate is low and       in the thirteen high growth countries, especially
     the savings-investments gap is large.                        in the initial period of their growth process. Much
          To foster structural change and growth an               more, policies to facilitate exports are most effec-
     economy needs access to technology and knowl-                tive if they support export diversification. Designing
     edge through an active transfer of know-how.                 policies for non-natural resource exports is particu-
     Technology transfer and inflow of know-how is                larly important in resource rich countries.
     usually associated with FDI inflows. In success-                  An active exchange rate policy can support
     ful countries domestically owned companies are               export development. In the early stages of export
     able to absorb technologies and know-how from                growth, experience shows that a low (depreci-
     advanced countries, thereby compensating for the             ated) exchange rate can support nurturing an export
     relatively low capacity and resources for research           sector. Keeping the exchange rate low initially also
     and development.                                             prevents the need of an economy to rely overly on
          Successful countries in the past have sup-
     ported competition and structural change. Public             6
                                                                    Hong Kong – China, Japan, the Republic of Korea, Malta, Singapore
     policy that clearly supports competition on markets          and Taiwan – China.
                                                             What kind of growth and diversification suits Sudan?   11




capital inflows (foreign savings), which are notori-       growth countries show that policies that avoid run-
ously unstable and unpredictable thereby increasing        ning high budget deficits over long periods of time
the vulnerability to shocks. On the negative side,         and efforts to keep debt-to-GDP ratios at sustainable
however, an exchange rate policy that pursues a            levels pay off positively over time. In addition, in
depreciated path for export promotion tends to             order to maintain macroeconomic stability an effec-
encourage mainly labor-intensive export sectors            tive and committed government, clearly focused on
rather than higher-valued more technology inten-           the long-term growth objectives, is needed.
sive sectors that are critical for long-term structural         The Growth Report recommends support
change. The role of the exchange rate in Sudan’s           to productivity enhancements in the agricul-
development experience over the past four decades          tural sector as particular important for growth
is analyzed in Chapter 2.A; it shows that Sudan’s real     in resource-rich African countries. Looking at
exchange rate was overvalued for most of the past          sub-Saharan and resource-rich African countries
40 years and that the nominal devaluations after the       the report identifies several key areas where the
secession of South Sudan were not able to devalue          policy makers could place greater priority in order
the exchange rate in real terms due to simultaneous        for growth strategies to “work.” For example, gov-
very high inflation rates.                                 ernments should aim to provide greater support
     Developed financial sectors that are open and         to the agricultural sector in direction of increasing
connected with international financial markets             the productivity. The majority of the labor force
are conducive to economic growth. Development              employed in Africa (formally and informally) is
of the financial sector is particularly relevant because   engaged in agricultural production. Hence, increas-
of its ability to support the goal of high savings for     ing productivity may be important for raising the
high investments. A more developed financial sys-          output per-worker and the overall value added. This
tem increases the level of financial inclusion, thereby    would also reduce the unemployment rate and aid
helping the economy to better mobilize savings and         the process of poverty reduction.
to allocate them more easily to investment needs.               While the “ingredients of growth” generally
Consequently, the Growth Report 2008 encour-               refer to domestic policies, those policies can be
ages policies that aid the development of financial        leveraged through fostering an open interna-
systems. Another complementary determinant of              tional environment and trade integration. The
growth is the financial openness of a country that, in     Growth Report explicitly argues that all of the ana-
the long run, aids the goals of financial development      lyzed high growth economies benefited from the
and deepening. Sudan’s international connectivity          changing global environment, i.e. the process of
is significantly limited due to the role of economic       rapid openness and integration of the world econ-
and financial sector sanctions imposed on Sudan            omy after the 1950s. This process is still ongoing
successively since 1997.                                   and is characterized by greater openness of local
     Macroeconomic stability is one of the main            and global markets, an increase of the volume of
pre-conditions for ensuring long-term growth of            global trade, and increased financial integration that
an economy. Yet, the Growth Report does not offer          stimulated the financial flows from one part of the
a unified definition of “macroeconomic stability.”         world to the other, including capital movements
But it points to the fact that monetary and fiscal         such as foreign direct investments (FDI).
policy makers hold the keys for macroeconomic sta-              There are two main channels through which
bility in their hands. To this end, the Growth Report      global integration of trade and capital flows can
emphasizes the need for independent central banks.         leverage domestic policies for growth. First,
In terms of fiscal policy, the lessons from the high       capital mobility and related FDI flows contribute
12      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     substantially to technology and know-how shar-                                  by the trade integration in the world’s markets,
     ing. To a large extent, FDI inflows in the thirteen                             provides an opportunity to local producers to
     high growth countries of the Growth Report origi-                               specialize in areas where they have a comparative
     nated from international corporations, which thus                               advantage. This process incentivizes local produc-
     helped the countries to import new technology,                                  ers to raise productivity and expand their output
     knowledge and know-how from the rest of the                                     globally, especially those from the manufacturing
     world. The result of the spread of new technol-                                 sector where spillover effects to other sectors in the
     ogy and know-how in the domestic economies is                                   economy are greatest.
     that it substantially reduces the cost of acquiring
     new technology and know-how. This in turn helps                                 Situation in Sudan
     recipient countries to develop their own competitive                            Sudan’s performance vis-à-vis the “ingredients
     technologies and products, which supports the goal                              of growth” is mixed, and between 2000 and
     of product diversification and structural change in                             2011 heavily dependent on the effects of the
     the economy.                                                                    oil economy. Time-series data shows that there
         Second, global integration leads to more                                    were fundamental changes in the structure if the
     competition on trade markets. More competition                                  economy over the past 10 to 15 years mainly due
     means more products on domestic markets and                                     to the advent of oil in 1999 and in the most recent
     tends to lower prices for inputs and end-consump-                               period since 2011, due to the secession of South
     tion. It also provides an opportunity for domestic                              Sudan. Those changes are particularly pronounced
     producers to face global demand and expand sales                                in the areas of investments and savings, the export
     on international markets. At the same time, imports                             sector, FDI inflows, price stability, and, ultimately
     of new technology and know-how, accompanied                                     on GDP growth (Table 1.1). Some highlights are:


     Table 1.1: Major Ingredients to Growth and Sudan’s Record
      Growth “ingredients” identified by
      the Growth Report 2008                           Sudan’s historical record
      High levels of investment ≥ 25% of GDP and       Average level of gross investment during the period 1980–2012 is 18.8% and during the period 2000–
      savings between 20–25% of GDP                    2012 is 25.7% of GDP. Average gross fixed capital formation during the period 1980–2012 is 15.3% of
                                                       GDP and average during the period 2000–2012 is 21.2% of GDP. Average level of gross savings for the
                                                       period 1980–2012 is 13.4% of GDP and during the period 2000–2011 is 23.4%. Post-secession savings
                                                       rates are in single digits and too low to drive and match investments.
      Technology, knowledge and know-how transfer      Average level of FDIs for the period 1980–2011 is 3.3% of GDP, for the period 2000–2012 is 7.8% of
      (requires FDI)                                   GDP.
      Supporting competition and structural change     The World Bank Investment Climate Assessment of 2009 suggests a poor functioning of markets to
                                                       allocate resources in the economy. This is primarily due to tight controls through the state in procure-
                                                       ment processes, financial markets, and land markets (World Bank 2009b).
      Labor market support                             The formal labor market is tightly controlled, preventing the efficient match of supply and demand,
                                                       and giving rise to informal, unregulated labor markets (World Bank 2009b).
      Export promotion and exchange rate policy        Average level of exports of goods and services for the period 1980–2011 is 10.5%, for the period
                                                       2000–2012 is 16.9%. Official nominal exchange rate depreciated sharply in 2012 and there is a parallel
                                                       exchange rate market.
      Financial sector development and openness        Private credit-to-GDP ratio average for the period 1980–2012 is 11.8%, for the period 2000–2012 is 12.9%.
      Macroeconomic stability                          Average annual inflation for the period 1980–2012 is 40.2%, for the period 2000–2012 is 12.3%. The
                                                       inflation is volatile during the recent period 2008–2012. Budget deficit is narrowing from 7.1% of GDP
                                                       in 2008 to 5% in 2012. External public debt is growing rapidly from 60.2% of GDP in 2008 to 82.2% of
                                                       GDP in 2012.
     Source: Growth Report (2008); and World Bank staff own calculations, based on data from the WDI and IMF, and the analysis of World Bank 2009b.
                                                          What kind of growth and diversification suits Sudan?                   13




 Investment and savings: Sudan’s average level          effect of oil discoveries. Oil accounted for
   of investment to GDP ratio was been below              nearly 90 percent of Sudanese exports dur-
   20 percent before 2000. Since then, mainly             ing the 2000–2009 period showing a virtually
   due to the oil discovery, the average level of         non-diversified economy. This trend has only
   investment has increased and was just above            slightly relaxed after the secession with gold,
   the 25 percent threshold level suggested by            sesame, and livestock being the only significant
   the Growth Report.7 Similar conclusions hold           non-oil exports.
   for the gross savings in the country, which had      Exchange rate policy: Sudan’s real exchange
   increased during the oil economy, reaching the         rate showed substantial overvaluation dur-
   lower bound of the suggested threshold level.          ing the oil economy reminiscent of the classic
   This indicates that the levels of savings and          Dutch Disease symptoms. A theory-based real
   gross investment were relatively high during           exchange rate (RER) Misalignment Index estab-
   the oil period. Nevertheless, investments were         lished by the World Bank for countries around
   concentrated on the oil-related economy and            the world from 1950–2011 shows that Sudan’s
   hence its contribution to diversify the economy        RER was overvalued as much as 65 percent in
   as such was rather modest. However, looking            2008. Several successive nominal depreciations
   at the post-secession period shows that gross          in 2012 and 2013 to the tune of 100 percent
   national savings fell to a low of 8.5 percent of       were not able to reverse this real overvalu-
   GDP, the lowest level since 1999. Raising the          ation trend because there was a simultaneous
   savings rate to match and drive investments            prevalence of high inflation in the years after
   is an immediate need for Sudan’s economy to            the secession. The real exchange rate thus is
   master the transition.                                 probably still overvalued, likely to the tune of
 Technology and know-how transfer: As men-              50 percent (see Chapter 2.B).
   tioned earlier, FDI is critical for technology       Financial sector development and openness: The
   and knowledge transfer. And indeed, FDI has            financial sector in Sudan is clearly underdevel-
   increased in Sudan from 2000 forward; an even          oped as noticed from the relatively low level of
   more rapid inflow can be seen over the 2003            credit-to-GDP ratio of 11–12 percent of GDP.
   to 2010 period. This was again related to the          The financial sector is also much closed with low
   oil economy. Data from fDi Markets, which              levels of interconnectivity to the international
   records Greenfield projects in Africa, shows           financial system. The economic and financial
   that between 2003 and 2010, two-thirds of              sanctions implemented since 1997 play a role
   recorded Greenfield projects went into the natu-       in this, and in fact have recently even tightened
   ral resource sector (coal, oil, and natural gas);      due the BNP Paribas court ruling in 2014 (see
   much more, it records a virtual standstill of FDI      Chapter 1.C).
   in Sudan since the secession of South Sudan in       Macroeconomic stability: While GDP growth
   2011, confirming the dominance of the natural          intensified starting in 2000 due to the oil dis-
   resource sector in the previous period. It also        covery, rates of growth stalled since 2008,
   highlights the fact that in present day Sudan          even before the secession of South Sudan.
   FDI-induced technology and know-how trans-
   fer is minimal and negligible.                      7
                                                         Similarly, the average fixed capital formation was low before 2000
 Export promotion and diversification: Sudan’s       but has increases since yet was still below the Growth Report threshold
                                                       of 25 percent over the 2000 to 2012 period. The difference between
   exports-to-GDP ratio expanded significantly         the gross and fixed capital formation is due to inventories that were
   starting in 2000, which was undoubtedly the         increasing over time in Sudan.
14     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




         To some extend the prediction of the 2009                pitfalls of implementation of some of those “ingredi-
         Country Economic Memorandum (World Bank                  ents” of growth that might have contributed to epi-
         2009) (that argued in the medium- to long-run            sodes of economic and/or financial downturns. The
         Sudanese growth is not sustainable) became               Growth Report also does not analyze the examples
         true. This was mainly related to the extreme             of other economies that have implemented many
         dependency oil in the economy while there was a          of the growth “ingredients” but nevertheless, the
         clear neglect of the non-oil sectors. Similarly, the     ingredients have not provided such straightforward
         inflation rate has increased substantially since         benefits for economic growth.
         2008 and since then is quite volatile. In addition,           A different strand of literature analyzes the
         the budget deficit, although somewhat narrow-            caveats of rapid implementation of some of the
         ing, has been continuously above 5 percent of            growth policies in an environment of not fully
         GDP even during the oil economy with all its             credible institutional capacity and governmental
         windfall fiscal revenues. This stubbornly high           policies and slow structural transformation of
         budget deficit is reflected in the indebtedness          the system for which more dynamic transforma-
         of the country where the stock of public debt to         tion is required. A starting argument of this type
         GDP has further increased over the past decade.          of literature is that it is unquestionable that mac-
                                                                  roeconomic stability, trade openness, and financial
         Sudan’s agriculture productivity has not suf-            liberalization are core requisites for the growth pro-
     ficiently increased over the years of the oil econ-          cess (World Bank 2005). However, the combination
     omy to support agriculture-led diversification of            of their implementation, the extent to which they
     the economy. While the agricultural share of GDP             should be implemented, and what dynamics should
     was around or above 40 percent before 2000, the              be considered depends on various specific internal
     share dropped precipitously to below 30 percent in           and external factors of a country. Some of the coun-
     2007. Likewise, the annual growth of agricultural            try’s internal factors for example are: initial condi-
     productivity dropped from almost 6 percent between           tions, quality and diversity of existing institutions,
     1988 and 1992 to 1–1.5 percent between 2000 and              credibility of the policy makers and their historical
     2008. Low productivity is witnessed across many              policy paths and actions, the commitment to pur-
     products compared to many countries. In sesame, for          sue and implement the policy targets. The external
     instance, productivity of Sudan compared to other            conditions of a country are related to the economic
     major producing countries is very low as it is equiva-       and financial developments of the major trading
     lent to 18, 27, 58 and 51 percent of productivity in         and financial partners, specificity of the region as
     China, Ethiopia, India, and Nigeria, respectively.           well as the systemic shocks in the global economy.
     Wheat productivity tells a similar story, with more               It is in this spirit of not only knowing the
     details provided in Chapter 3 of this CEM.                   “ingredients for growth” but also the domestic
         While this analysis does not suggest that                limitations in Sudan that this report will aim to
     Sudan’s growth record would have necessarily                 analyze and recommend policy options that can
     been substantially different from the historical             be both successful and implementable.
     actuals if followed the prescriptions of other
     country experiences, it does indicates the policy            b.  Components of pro-poor growth
     areas that could be tried to better the growth
     prospects of the economy. In fact, the Growth                While economic growth is a necessary condi-
     Report is focused mainly on analyzing the experi-            tion for poverty reduction in a country, it is
     ences of the successful stories, without analyzing the       not a sufficient condition for reducing poverty
                                                             What kind of growth and diversification suits Sudan?                  15




and income inequality in all economic areas              and income inequality leads to a lower pace of
and regions equally (Loayza and Raddatz 2010;            poverty reduction and the distributional pattern of
Warner 2011). In fact, economic growth can be            growth will be less beneficial for the poor people
uneven across production sectors, income groups          (Cord 2007). This indicates that higher rates of eco-
and regions in a country (World Bank 2009a). In          nomic growth for longer periods of time are needed
order for any growth process to have wider ben-          in order to get significant reduction of poverty and
eficial effects for the whole society of a country,      income inequality. Furthermore, according to the
it needs to be inclusive and have an impact on all       empirical findings of Easterly (2007), a high struc-
income groups and regions.                               tural inequality in income distribution may even be
     There are two broad approaches of measur-           an obstacle to economic growth. This is due to its
ing what is “pro-poor,” referring to absolute and        negative effect on the growth elasticity of poverty,
relative declines of poverty. First, according to        indicating the relationship between the economic
the “absolute” approach, “pro-poor” is defined as        growth and the poverty rate.9
some agreed measure of poverty (defined in abso-             The actual impact of economic growth
lute terms) to fall over time (Ravallion 2004 and        on poverty reduction and income inequality
Khandker and Koolwal 2006). This absolute measure        depends on the sectoral composition of growth.
of poverty could be set in terms of a threshold value    Supporting growth in certain labor intensive sectors
of purchasing power of commodities and can be            of the economy like agriculture, construction and
defined such as the number of people that live on less   manufacturing can have greater effect on reducing
than US$1.25 a day measured in PPP. Consequently,        the poverty compared to other less labor intensive
the “absolute” approach suggests that the economic       sector like mining, utilities and services (Loayza
growth is pro-poor if and only if the number of          and Raddatz, 2010 and Warner, 2011). Promoting
people that live less than US$1.25 a day declines.8      growth in agricultural sector can be particularly
     The second approach defining the “pro-              important for economies like Sudan where a great
poor” growth—the “relative” measure—consid-              extent of the labor force is engaged.
ers income inequality changes in the process of
growth. According to the “relative” approach, the        8
                                                           The major weakness of this approach is that it defines the pro-poor
                                                         growth in absolute terms, without considering the equality of income
economic growth is considered to be “pro-poor” if        distribution. For example, during a growth process, it may appear
the poor people (the low income group) benefit pro-      that the absolute number of poor people may fall, but the poor or
                                                         the low-income group may benefit disproportionately less than the
portionately more than the higher income groups          high- or middle-income groups. In this case the distribution of the
(Ravallion, 2004 and Khandker and Koolwal,               income generated by the growth process may still be concentrated in
                                                         the higher income groups that may result in greater increase of the
2006). In other words, growth is “pro-poor” if the       income inequality, although the “absolute” poverty indicator may sug-
incomes of the low income group increase propor-         gest that the poverty in the country has declined. The proponents of
                                                         the “absolute” approach of pro-poor growth argue that, although this
tionally more than the incomes of the higher income      measure undermines the income inequality, if there is some benefit
groups. Contrary to the “absolute” approach of           from the growth process for the poor people then it still can, however,
                                                         be considered as beneficial.
“pro-poor” growth, the “relative” approach would         9
                                                           Another factor that affects the effectiveness of “pro-poor” growth
argue that if the poor people benefit less than higher   policies is the geographic concentration of the poor people. A greater
                                                         concentration of poor people in certain geographical areas impedes the
income groups—although in absolute terms the             effectiveness of pro-poor growth policies; this is since in these areas
poverty has declined—then the process cannot be          it is more difficult and more time is needed for the growth process
                                                         to have any impact on poverty reduction. Related, the geographical
considered “pro-poor”.                                   proximity of the areas where poverty is concentrated to the more
     Poverty reduction depends crucially on the          developed urban centers plays an important role. A greater proxim-
                                                         ity of these areas to the more developed urban areas leads to greater
initial level of poverty and inequality. According       beneficial effects of the pro-poor growth policies on poverty reduction
to Ravallion (2004) a higher initial level of poverty    and income inequality (World Bank 2009a).
16     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




          Economic growth in the agricultural sector              greater income in the future and thus, improve
     is particularly powerful to alleviate poverty and            their welfare. Greater access to education will also
     works in two ways: First, through a reduction                empower gender equality where more opportunities
     of unemployment and greater engagement of the                will be created for rural female youth. And, finally,
     labor force; and second, by raising the incomes in           greater financial inclusion may lead to better solu-
     agriculture that may reduce the income inequal-              tions for farmers to finance and purchase fertilizers.
     ity. Two examples where the growth of agricultural
     production was the major driving force of poverty            C. Institutions are Critical to the
     reduction are Rwanda and China. An analysis                      Diversification of the Endowment
     conducted by Xinshen (2013) for Rwanda for the                   Base of the Economy
     period 2005–2011 indicates that development of
     the primary sector had the most significant impact           The 2009 Country Economic Memorandum
     on poverty alleviation. This is in contrast to second-       developed a clear agenda for reforms to over-
     ary and tertiary sectors, which were driving GDP             come the single reliance on oil and its associated
     growth during that period, but both had relatively           Dutch Disease symptoms in Sudan. The report
     small effect on poverty reduction. Similar conclu-           urged for private-sector-led growth to drive a more
     sions can be drawn from the case China. Growth               diversified economy, particularly through a revival
     of agricultural production since the 1980s has been          of the agriculture sector. The CEM then proposed a
     the major factor for poverty alleviation in China’s          set of interdependent steps to overcome the single
     rural provinces where most of the poor people are            reliance on natural resources. The work called for
     concentrated (Montalvo and Ravallion 2010). But in           developing and maintaining the necessary enabling
     China the pace of poverty reduction has also been            environment for growth, specifically macroeco-
     highly unequal among its provinces.                          nomic stability and effective fiscal management. The
          There are a number of supporting policies for           report also highlighted the need to implement poli-
     the agriculture to thrive and increase the poverty           cies aimed at improving the investment climate. The
     reduction impact of growth in the rural sector.              need to increase returns in the agriculture sector,
     Greater access to electricity, for instance, brings          whose productivity levels have declined over the oil
     about more efficiency of agricultural production             boom years, was identified as a key effort. Finally,
     and also provides opportunities for farm workers             the CEM emphasized that technocratic reforms need
     to engage in food processing activities that may             to be paired with good governance.
     additionally increase their income (Khandker and                  Progress on the 2009 reform agenda has
     Koolwal 2006). Likewise, infrastructural develop-            been limited, but some key reforms may serve
     ment, in particular building paved roads that con-           as a model for further change. This new CEM
     nect rural with urban areas, provides easier access to       will argue that the agriculture sector is still suffer-
     markets for farm and non-farm rural workers, which           ing from very low productivity, the export basket
     is also important for technology transfer between            continues to be very concentrated, yet less so given
     regions (Datt and Ravallion 2009). Improved access           the declining relative importance of oil. Fiscal man-
     to water and irrigation will increase the agricultural       agement of recent years was dominated by coping
     production and the living standards of agricultural          with the effects of the secession of South Sudan,
     workers. Greater access to education in rural areas          which meant an unprecedented fall in revenues
     increases the opportunities for the youth in continu-        for the country. While a number of fiscal reforms
     ing their education and also in finding higher skilled       were implemented the budget deficit increased sig-
     work in the urban areas by which they may generate           nificantly after the secession and expenditures had
                                                            What kind of growth and diversification suits Sudan?       17




to be cut substantially. A large part of the deficit      a more diverse endowment base, and ultimately, a
was financed through monetization by the central          more diversified economy.
bank, which in turn led to strong post-secession
inflation. There was no real improvement in the           a.  Ability to manage natural resource rents
business environment with most indicators either
stagnating or falling.                                    The ability to manage natural resource rents
      Comparing the situation in today’s Sudan            refers to the ability to pursue overall stabilizing
with the reform areas identified in the 2009 CEM          macroeconomic policies of which stable fiscal
suggests that there is still a need to tackle the         management is key, sometimes achieved with
underlying issue of furthering structural trans-          stabilization funds for natural resource rents.
formation and economic diversification. There are         For Sudan, this section finds that the Government’s
basically two approaches to do this, by either diver-     ability to manage natural resource rents is limited;
sifying the production base of a country, through         yet, natural resources have also declined in impor-
for instance advances in agriculture or manufac-          tance to fiscal revenues. Still, more effective volatility
turing; or alternatively, a country can diversify its     management within a fiscally sustainable framework
endowment base. World Bank (2014d) developed              requires a medium-term outlook on natural resource
and discussed the latter approach, which argues           revenues.
that diversification should be pursued as a result of
policies that diversify national asset portfolios; such   Fiscal policy and public debt
portfolios include natural resources, built capital,      During the oil economy in Sudan oil revenues
and public institutions. World Bank (2014d) thus          rapidly became the main source of public rev-
argues that governments should “try to create the         enues and contributed more than 50 percent
conditions for accumulating a balanced portfolio          of total revenues at its peak, but this situation
of national assets, by exploiting natural resources       ended abruptly in 2011. With the secession of
responsibly, building infrastructure and human cap-       South Sudan came a substantial loss of oil reve-
ital, and instituting mechanisms to manage resource       nues and the share of oil to total revenues declined
rents, provide public services, and regulate private      from 59 percent in 2011 to 16 percent in 2012
enterprise” (World Bank 2014d: 31).                       (Figure 1.3.1). This massive shock in decline of oil
      World Bank (2014d) argues that economies            revenues could not be compensated for by increased
successful in their diversification efforts are able      tax and non-tax-non-oil revenues, even though
to broaden their endowments base by maximiz-              they increased significantly—and overall revenues
ing a triad of institutions to deliver services           declined by 33.5 percent between 2011 and 2012.
that ultimately increase productivity. This triad         During the pre-secession period Sudan had some
includes the abilities to manage natural resource         experience in utilizing an oil revenue stabilization
rents, to provide public services, and to regulate        account (ORSA)—a failed attempt to smooth expen-
economic activity (and foster a business enabling         diture (Box 1.1).
environment). Looking at Sudan, there are impor-              Oil revenues are expected to fall to around
tant weaknesses in all the three areas, often compli-     10 percent of total revenues over the next five
cated by conflict and fragility, sometimes through        years. At the same time, the ability of the govern-
uncertain assignments of responsibilities in an ever      ment to generate fiscal revenues from the gold sector
more decentralizing public administration. Overall,       will be rather limited, primarily due to the nature
it finds there is much scope to improve the effective-    of gold mining that is first and foremost artisanal
ness of these institutions to lay the groundwork for      in Sudan. Only if Sudan succeeds in establishing a
18     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




       BOX 1.1: Sudan’s Experience with the Oil Revenue Stabilization Account (ORSA)
       The 2009 CEM argued that while Sudan had the foresight of creating an Oil Revenue Stabilization Account (ORSA) to help smooth
       expenditure during the oil economy, the account failed to deliver to its promise due to poor management. Withdrawals from the
       account had been highly volatile and nearly equal to deposits on net—highlighting its mismanagement and lack of effectiveness in
       stabilizing expenditure. More importantly, there were heavy withdrawals when oil revenue was well above budgeted levels.
          ORSA was a locked sub-account for the Government at the Bank of Sudan, the central bank. The Ministry of Finance and National
       Economy had sole access to it. At the start of each fiscal year, a benchmark production figure and the Government of National Unity
       and the Government of South Sudan agreed upon the price of the oil used. The account was to receive any revenues accruing from
       production or price above the benchmark are, and withdrawals were to be distributed to both governments in proportion to their
       share of total oil revenue.
          At its peak, ORSA accumulated more than US$300 million in early 2006, but was depleted by time of the secession of South
       Sudan. Substantial drawdowns from the account in 2006 to finance government expenditures in light of shortfalls from then delayed
       new fields let to a near-depletion by end-December 2006. While ORSA was built up again over most of 2007 and early 2008, it was
       again depleted in the wake of the global crisis and collapse of oil prices in late 2008 and 2009. It was not built up since that time and
       with the secession of South Sudan disappeared from the scene.

       Source: World Bank (2009b).




     modern, industrial mining sector will there be a real                     expectations that successful exploration will add to
     possibility for relevant fiscal revenues from the gold                    production. This substantially increases the govern-
     sector. This is a medium- to long-term endeavor,                          ment’s forecast for oil revenues over the medium-
     however, and Chapter 5 will provide an assessment                         term with a high risk of not being able to meet those
     of these prospects.                                                       targets. The differences in assessment will be shown
          In addition to oil revenue from Sudanese                             in Chapter 5 where the CEM base scenario is sub-
     domestic production, fees are also expected from                          stantially lower than the Government medium-term
     South Sudanese oil flowing through Sudan’s oil                            oil outlook. A similar issue is observable in the min-
     infrastructure and time-bound proceeds of the                             ing sector, where production figures are unclear and
     transitional financing agreement (TFA) between                            may also reflect smuggled in and old gold.
     the two countries. Chapter 5 will estimate that those                          After two years of balanced budgets in 2010
     additional oil-related funds are in the order of 10 to                    and 2011, a significant deficit opened up in 2012,
     20 percent of total revenues until 2016. Under the                        but was narrowed again in 2013. Even though a
     Bi-Lateral Agreements South Sudan is required to pay                      reduction of total expenditures was achieved 2012
     US$15.00 per barrel up to a maximum of US$3.028                           the decline in expenditure could not keep pace with
     billion as a Transitional Financial Arrangement                           the decline in revenues. The budget deficit shot
     (TFA). The TFA period ends in December 2016. In                           up from virtually zero (–0.2 percent of GDP) to
     addition, the ongoing civil conflict in South Sudan                       3.8 percent deficit in 2012 (Figure 1.3.2). Moreover,
     puts the TFA payments in an uncertain light.                              in 2013 the expenditure side expanded again in
          More effective volatility management within                          real terms (Figure 1.3.3), but with a recovery of
     a fiscally sustainable framework requires a                               GDP growth from negative to positive territory in
     medium-term outlook on natural resource rev-                              2013 (Figure 2.1.1), expenditure as percent of GDP
     enues. This claim was already made in the 2009                            decreased. As a result, the deficit narrowed from
     CEM; yet it is found that this is still an issue in                       3.8 percent of GDP in 2012 to 2.3 percent in 2013.
     today’s Sudan. Chapter 5 will analyze this in detail,                     The gradual elimination of oil subsidies starting in
     but it is clear that the current practice of govern-                      September 2013 continues this effort and the 2014
     ment is to include in their medium-term plans                             deficit is expected to further decline.
                                                                                       What kind of growth and diversification suits Sudan?                     19




FIGURE 1.3: Fiscal Policy and Public Debt
                   1) Fiscal revenues and composition (SDG mn)                                            2) Revenues and expenditures (% of GDP)
35,000                                                                                    30
30,000                                                                                    25
25,000
                                                                                          20
20,000
                                                                                          15
15,000
                                                                                          10
10,000
 5,000                                                                                      5
     0                                                                                      0
           2008       2009       2010      2011      2012        2013                              2008       2009     2010     2011       2012       2013
         Tax revenues     Oil revenues     Other non-tax, non-oil revenues                                       Revenues              Expenditure

                  3) Fiscal expenditure and composition (SDG mn)                                      4) Structure of Sudan‘s external debt in 2013
40,000
35,000
30,000                                                                                                                          14%
                                                                                                                   36%
25,000
20,000
15,000
                                                                                                                                  13%
10,000
                                                                                                                         37%
 5,000
     0
           2008       2009      2010       2011          2012      2013
                              Current          Capital                                          Commercial      Multilateral   Paris Club      Non-Paris Club

                                                         5) Sudan‘s stock of external debt, 2001 to 2013
                                         600                                                                              60

                                         500                                                                              50

                                         400                                                                              40

                                         300                                                                              30

                                         200                                                                              20

                                         100                                                                              10

                                           0                                                                              0
                                               2001        2003      2005       2007       2009        2011        2013
                                                         Total external debt (US$ bn, RHS)        Percent of GDP
                                                                              Percent of revenues

Source: World Bank staff own calculations, based on data from IMF 2012; IMF 2013; IMF 2014a; IMF 2014b; IMF 2014c; and World Bank World Develop-
ment Indicators (WDI).




    Financing the budget deficit is one of the                                      is not sustainable in the long term; it leads to an
key challenges in post-secession Sudan. In the                                      upsurge in inflation, an impairment of monetary
aftermath of the secession the dominant source of                                   transmission mechanisms, the crowding out of credit
financing was through monetization. Given its seri-                                 to the private sector, real exchange rate appreciation,
ous negative repercussions, however, monetization                                   and worsening foreign trade competitiveness.
20     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




          Options for foreign financing of the budget             within the annual non-concessional borrowing limit
     deficit are limited as Sudan’s external debt stood           of US$600 million prescribed by the government’s
     at about US$45 billion (79 percent of GDP) at                Staff Monitored Program with the IMF. There has
     the end of 2013 (Figure 1.3.5). Of this, about 85            not been any new private external debt in decades.
     percent was in arrears. The large majority of Sudan’s        However, it will be important for Sudan to minimize
     external debt is public and publicly guaranteed              non-concessional borrowing and avoid selective
     debt (valued US$43.4 billion, of which 88 percent            debt servicing to bilateral creditors, as these may
     in arrears), mainly owed to bilateral creditors and          complicate reaching agreement with creditors on a
     almost equally divided between Paris Club and                debt resolution strategy.
     non-Paris Club creditors (37 vs. 36 percent of the               Given the constrained foreign financing
     total). Only a small fraction is commercial debt             options for Sudan it will be important to mobi-
     owed to suppliers (US$1.6 billion). Sudan is also            lize more domestic resources for productive
     in arrears with multilateral creditors, including the        use, most notably domestic savings to support
     World Bank, the IMF, and the AfDB (Figure 1.3.4).            investment. The next section in this chapter will
     The most recent joint World Bank and IMF Debt                look at Sudan’s savings rate and identify the main
     Sustainability Study (DSA) classifies Sudan being in         determinants in a view to derive policy conclusions
     debt distress (IMF 2014c).                                   on how to increase savings in Sudan to support the
          Sudan’s ongoing debt crisis dates back the              transition to a non-oil economy.
     1980s. It started with the Government’s inability
     to service its debt service obligations that in turn         Savings and investment: trends and
     led to an unprecedented increase in arrears. This is         determinants
     a key feature of Sudan’s striking debt burden up to          National savings in Sudan, which is the sum of
     the present time, where 85 percent of Sudan’s debt           public and private saving, fell sharply in 2012
     is in arrears. There are widely recognized domes-            to 8.5 percent of GNDI, after being double-digit
     tic and external causes for the debt crisis (Rahman          during the last decade (Figure 1.4.1). The ini-
     1995; and Ahmed 2008), including the global reces-           tial increase in the savings rate in the late 1990s
     sions of the 1970s and 80s due to oil price shocks,          was driven by the private sector after the col-
     an overvalued exchange rate, and insufficient debt           lapse in savings caused by a combination of poor
     management capabilities within the government.10
          Total contracting of external debt remained             10
                                                                     An unfavorable external environment contributed to the debt crisis
     below 1 percent of GDP per year since 2011,                  some three decades back. Sudan was vulnerable to the oil shocks of
                                                                  the 1970s and 80s as it was a net oil importer that faced rapidly rising
     but abstinence from non-concessional borrow-                 commodity prices, coupled with high interest rates and recessions in
     ing will be important for debt relief. Given eco-            most parts of the then western world (Rahman 1995). An overvalued
                                                                  exchange rate during that time added to the problem as it further
     nomic and financial sanctions as well as the fact            eroded the export competitiveness of the country and ultimately led
     that Sudan is in arrears with most creditors, the            to a high degree of import reliance (Ahmed 2008). But there was
                                                                  also a strong domestic element contributing to the debt crisis. A very
     country has effectively been cut off from external           concentrated export basket, comprised of primarily agriculture exports
     financing sources. The government currently can              such as cotton, sesame, groundnuts, livestock, sugar, oils seeds, and
                                                                  gum arabic meant a real exposure risks related to volatile demand and
     only contract new debt with a limited number of              prices, both of which then unfolded (Ahmed 2008). Moreso, around
     still-disbursing multilateral and non-Paris Club             this same time a crisis developed in cotton, Sudan’s then principal
                                                                  export crop, and exports and production dropped sharply. Addition-
     bilateral creditors such as China. Some US$152               ally, economic adjustments programs were only partially implemented
     million of new debt (0.2 percent of GDP) was con-            due to the political economy of that times; the consequence was to
                                                                  revert to external borrowing to stem the crisis. Finally, the absence of
     tracted in the first half of 2014, of which US$$147          effective debt management capabilities in the government meant that
     million is on non-concessional terms, which is well          there was, de facto, no limit to external borrowing (Rahman 1995).
                                                           What kind of growth and diversification suits Sudan?     21




macroeconomic performance, external disturbances,              GDS = GDP – (C + G)
and structural weakness. Public savings followed the           GNS = GNDI – (C + G) = GDS + Yf + Tf
trend in the early 2000s when oil revenue started
to contribute to public investment and the budget.       Hence, Gross Domestic Savings (GDS) and Gross
Private savings increased from –0.1 percent in 1995      National Savings (GNS) differ substantially if a
to 17.5 percent in 2000, whereas public savings          country has large current transfers in the form of
increased from 0.4 percent in 1999 to 5.8 percent        public (e.g., official aid) and private transfers (e.g.,
in 2004 (Figure 1.4.2).                                  remittances) from abroad. In the case of Sudan,
     The July 2011 secession of South Sudan had          however, transfers in the form of aid are negligible
negative impacts on Sudan’s savings through              and GDS and GNS are rather similar (Figures 1.4.4
a buildup of large economic imbalances. As a             and 1.4.5). It is for this reason that the analysis in
result of the secession, Sudan lost almost three-        this section uses GNS as underlying measure.
quarters of its oil revenues, and two-thirds of its          Sudan’s national and private savings rates are
foreign exchange earnings. The budget balance            comparable to those of neighboring Sub-Sahara
deteriorated considerably, registering a deficit         African countries, but relatively low for an oil-
of 3.8 percent of GDP in 2012 from a surplus of          producing country. In the 1990s, Sudan’s savings
0.3 percent in 2010 (Figure 1.4.3). Monetization         rates were the lowest among peer countries. Thanks
of the budget deficit and weakening local currency       to the improved macroeconomic performance and
in the parallel market led to skyrocketing inflation     the oil revenues, Sudan’s national savings rates
from 15.4 percent in 2010 to 44.4 percent in 2012        rose from –0.7 percent in the 1990s to 16.4 per-
(end of year inflation). Against this backdrop, pri-     cent in the 2000s, reaching the regional average
vate savings fell from 13.8 percent in 2010 to 10.1      (Figure 1.5.1). A similar development pattern
percent in 2012, whereas public savings dropped          can be observed for Sudan’s private savings rates
further from 5.1 percent in 2010 to –1.6 percent         (Figure 1.5.2). But then Sudan’s national savings
in 2004.                                                 rates fell to 14.0 percent in the early 2010s. A similar
     The two most common definitions for sav-            pattern in the national savings rate is observed for
ings refer to Gross Domestic Savings (GDS) and           oil-producing Algeria, whose savings rates sharply
Gross National Savings (GNS). These concepts are         rose in the 2000s, but declined in the early 2010s
derived from the national accounts. Gross Domestic       when oil prices moderated.
Product (GDP) and Gross National Disposable                  The decline in savings in Sudan was led by
Income (GNDI) can be expressed as:                       public savings rates in the 2010s (Figure 1.5.3).
                                                         In oil producing countries, including Sudan, public
            GDP = C + I + G + (X – M)                    savings rates rose in the late 2000s when oil prices
            GDNI = GDP + Yf + Tf                         had a sharp uptick, but fell significantly in the early
                                                         2010s when oil prices were moderated. In contrast,
Where C is private consumption, I is investment          non-oil producing countries, such as Tanzania and
(gross capital formation), G is government con-          Ethiopia, steadily increased public saving, attributed
sumption, X is exports, M is imports; Yf is net factor   to sound fiscal management.
income from abroad, and, Tf is net foreign private           Savings rates are highly correlated with
and official transfers.                                  investment and economic growth. This is con-
    The relationship between Gross Domestic              firmed in the literature Loayza et al. (2010) and
Savings (GDS) and Gross National Savings                 through a cross-country analysis shown in Figures
(GNS) can then be written as:                            1.5.4 and 1.5.5. Although there has been
22                     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 1.4: Savings Rates in Sudan, 1991–2013
                                            1) National Savings in Sudan, 1991–2013                                                                                 2) Private and Public Savings, 1991–2013
                         30                                                                                                                      40
                         20                                                                                                                      30
                         10                                                                                                                      20
     Percent of GNDI




                                                                                                                          Percent of GNDI
                                                                                                                                                 10
                          0
                                                                                                                                                  0
                        –10
                                                                                                                                                –10
                        –20                                                                                                                     –20
                        –30                                                                                                                     –30
                        –40                                                                                                                     –40
                              1991
                                     1993
                                            1995
                                                   1997
                                                          1999
                                                                 2001
                                                                               2003
                                                                                      2005
                                                                                             2007
                                                                                                    2009
                                                                                                           2011
                                                                                                                  2013p




                                                                                                                                                      1991
                                                                                                                                                             1993
                                                                                                                                                                     1995
                                                                                                                                                                            1997
                                                                                                                                                                                    1999
                                                                                                                                                                                           2001
                                                                                                                                                                                                  2003
                                                                                                                                                                                                         2005
                                                                                                                                                                                                                2007
                                                                                                                                                                                                                       2009
                                                                                                                                                                                                                              2011
                                                                                                                                                                                                                                     2013p
                                                                                                                                                                    Gross public savings                 Gross private savings

                                              3) Overall Budget Deficit, 1991–2013                                                                                            4) Sudan‘s National Income
                          5                                                                                                                     900

                          0                                                                                                 Constant 2005 US$   800
     Percent of GDP




                         –5                                                                                                                     700

                        –10                                                                                                                     600

                        –15                                                                                                                     500

                        –20                                                                                                                     400

                        –25                                                                                                                     300
                                                                                                                                                      1980
                                                                                                                                                      1982
                                                                                                                                                      1984
                                                                                                                                                      1986
                                                                                                                                                      1988
                                                                                                                                                      1990
                                                                                                                                                      1992
                                                                                                                                                      1994
                                                                                                                                                      1996
                                                                                                                                                      1998
                                                                                                                                                      2000
                                                                                                                                                      2002
                                                                                                                                                      2004
                                                                                                                                                      2006
                                                                                                                                                      2008
                                                                                                                                                      2010
                                                                                                                                                      2012
                              1991
                                     1993
                                            1995
                                                   1997
                                                          1999
                                                                 2001
                                                                               2003
                                                                                      2005
                                                                                             2007
                                                                                                    2009
                                                                                                           2011
                                                                                                                  2013p




                                                                                                                                                  GDP per capita                   GNI per capita               GNDI per capita (real)

                                                                                                      5) Different Measures of Savings in Sudan
                                                                                      35
                                                                                      30
                                                                                      25
                                                                    Percent of GDP




                                                                                      20
                                                                                      15
                                                                                      10
                                                                                      5
                                                                                       0
                                                                                             1995
                                                                                             1996
                                                                                             1997
                                                                                             1998
                                                                                             1999
                                                                                             2000
                                                                                             2001
                                                                                             2002
                                                                                             2003
                                                                                             2004
                                                                                             2005
                                                                                             2006
                                                                                             2007
                                                                                             2008
                                                                                             2009
                                                                                             2010
                                                                                             2011
                                                                                             2012




                                                                                                    Gross domestic saving                         Gross national saving

     Source: World Bank staff own calculations, based on data from World Bank World Development Indicators; and IMF World Economic Outlook.
     Note: (1) “p” denotes preliminary.




     controversy on causality between savings and                                                                             however, close connection between the two is
     growth, the causality that runs from savings to                                                                          observed, especially in the long run.
     growth plays a critical role through the capital
                                                                                                                              11
                                                                                                                                Aghion et al. (2006) developed a theory that domestic savings af-
     accumulation process.11 In theory, it does not                                                                           fects economic growth in developing countries that are far from the
     matter how investment is financed. In practice,                                                                          technological frontier.
                                                                                                                                                                                     What kind of growth and diversification suits Sudan?                                                                                   23




FIGURE 1.5: Savings and Investment Rates in Sudan and Selected Countries
                                                             1) National Savings Rates                                                                                                                                              2) Private Savings Rates
                         70                                                                                                                                                            45
                         60                                                                                                                                                            40
                         50                                                                                                                                                            35
Percent of GNDI




                                                                                                                                                        Percent of GNDI
                                                                                                                                                                                       30
                         40
                                                                                                                                                                                       25
                         30
                                                                                                                                                                                       20
                         20                                                                                                                                                            15
                         10                                                                                                                                                            10
                          0                                                                                                                                                             5
                        –10                                                                                                                                                             0
                                  Kenya

                                          Uganda

                                                         Egypt

                                                                     Sudan

                                                                                  Tanzania

                                                                                             Ethiopia

                                                                                                              Morocco

                                                                                                                         Indonesia

                                                                                                                                          Algeria




                                                                                                                                                                                                Kenya

                                                                                                                                                                                                               Tanzania

                                                                                                                                                                                                                               Uganda

                                                                                                                                                                                                                                         Sudan

                                                                                                                                                                                                                                                      Ethiopia

                                                                                                                                                                                                                                                                    Egypt

                                                                                                                                                                                                                                                                                 Morocco

                                                                                                                                                                                                                                                                                             Indonesia

                                                                                                                                                                                                                                                                                                                Algeria
                                                                                                Average '91–99                                Average '00–'09                               Average '10–'13

                                                                  3) Public Savings Rates                                                                                                                  4) Savings and Investment Around the World
                         20                                                                                                                                                            40
                                                                                                                                                                                       35
                                                                                                                                                        Investment rate (% of GDP)
                         15
                                                                                                                                                                                       30
Percent of GNDI




                         10                                                                                                                                                            25
                          5                                                                                                                                                            20
                          0                                                                                                                                                            15
                                                                                                                                                                                       10                                  Sudan
                        –5                                                                                                                                                              5
                        –10                                                                                                                                                             0
                                                                                                                                                                                            0                             10                     20                         30                           40
                                  Egypt

                                          Morocco

                                                         Uganda

                                                                     Sudan

                                                                                  Kenya

                                                                                             Indonesia

                                                                                                              Ethiopia

                                                                                                                         Tanzania

                                                                                                                                          Algeria




                                                                                                                                                                                                                               Savings rate (% of GNDI)

                                   Average '91–99                      Average '00–'09                               Average '10–'13

                                             5) Savings and Growth Around the World                                                                                                                                       6) Savings and Investment in Sudan
                         10                                                                                                                                                            30
                          8                                                                                                                                                            20
GDP per capita growth




                                                                                                                                                                                       10
                          6
                                                                                                                                                        Percent of GNDI




                                                                                                                                                                                        0
                          4                                                                                                                                                           –10
                                          Sudan
                          2                                                                                                                                                           –20
                                                                                                                                                                                      –30
                          0
                                                                                                                                                                                      –40
                        –2                                                                                                                                                            –50
                        –4                                                                                                                                                            –60
                              0                     10                       20                          30                          40
                                                                                                                                                                                            1991
                                                                                                                                                                                                        1993
                                                                                                                                                                                                                    1995
                                                                                                                                                                                                                                1997
                                                                                                                                                                                                                                        1999
                                                                                                                                                                                                                                                 2001
                                                                                                                                                                                                                                                             2003
                                                                                                                                                                                                                                                                      2005
                                                                                                                                                                                                                                                                                 2007
                                                                                                                                                                                                                                                                                           2009
                                                                                                                                                                                                                                                                                                         2011
                                                                                                                                                                                                                                                                                                                    2013p




                                                         Savings rate (% of GNDI)
                                                                                                                                                                                                                      S-I gap                    Saving                      Investment

Source: World Bank staff own calculations, based on data from World Bank World Development Indicators; and IMF World Economic Outlook.
Note: (5) and (6): Analysis based on average data for the period 1990–2009.




     Thus, low national savings jeopardize invest-                                                                                                           (Figure 1.5.6). The increased saving-investment
ments and growth in post-secession Sudan.                                                                                                                    gap, in turn, has been financed by a deteriorat-
Initially, and despite the sharp decline in savings                                                                                                          ing current account balance. The current account
rate, investment remained stable after the secession                                                                                                         deficit was at 9.4 percent of GNDI in 2013, the
24      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     Table 1.2: Simulations of Savings and Growth Rates for Turkey
                             a. Savings Rate under TFP Growth Scenarios (GDP per Worker Growth Rate = 4%)
                                                  Moderate                                        High
                                               (TFP Growth=1%)                              (TFP Growth=2%)
      Initial                                         24.9                                         19.5
      5 Years                                         26.0                                         18.3
      10 Years                                        27.2                                         17.2
      25 Years                                        31.1                                         14.2

                              b. GDP per Worker Growth under TFP Growth Scenarios (Savings Rate = 20%)
                                                  Moderate                                        High
                                               (TFP Growth=1%)                              (TFP Growth=2%)
      Initial                                         3.00                                         4.10
      5 Years                                         3.03                                         4.33
      10 Years                                        3.05                                         4.51
      25 Years                                        3.09                                         4.88
     Source: Hevia (2010).




     highest rate since 1996. It is true that investment             For instance, macroeconomic stability determines
     does not necessarily have to be financed by national            the real rate of return for investment but contract
     savings if a country has access to external sources.            enforcement affects the smooth implementation of
     But Sudan does not have good access to external                 investments.
     sources due to its unique and isolated status in the                Turning from the past to the future, it is
     world. Moreover, a country cannot rely indefinitely             imperative for Sudan to raise its gross national
     on external financing since large current account               savings rate beyond pre-secession levels. The
     deficits tend to be not sustainable in the long term.           analysis so far has illustrated that post-secession
          However, due to diminishing returns, capi-                 Sudan’s national savings is low, creating chal-
     tal accumulation through investment is not suf-                 lenges to economic diversification and sustained
     ficient in the long term to sustain high growth.                economic growth. Low savings imply the avail-
     International evidence suggests that sustainable                ability of fewer funds for productive investment
     growth needs productivity growth through human                  that could transform the Sudanese economy from
     capital enhancements and technological improve-                 a highly oil-dependent one to a more diversified
     ments. A country case study about Turkey (Hevia                 one. Given that the secession of South Sudan is a
     2010), for instance, shows that the link between                permanent shock to the Sudanese economy there
     national savings and economic growth critically                 is a real urgency to support the transition to a
     depends on productivity growth (Table 1.2). In                  more diversified economy through higher levels of
     addition, the channel from savings to productive                national savings. To this end, the recent decline in
     investment plays a critical role for economic growth.           both private and public savings of particular con-
     An efficient financial system is a necessary condi-             cern for post-secession Sudan.
     tion through which savings is effectively allocated
     to investment.12 Likewise, the institutional capac-
     ity and the rule of law affect investment decision.             12
                                                                          Levin (2005).
                                                           What kind of growth and diversification suits Sudan?   25




     Looking at the key determinants of savings,         productivity, which would indicate a rising role of
stable macroeconomic management with low                 human capital formation in the growth process.
inflation and positive real interest rates is crucial    And human capital formation depends on the effec-
for raising both private and public savings rates        tive provision of services. In that regard, Sudan
(Annex 2). After 2011 loss of revenues from oil          has undergone a process of decentralization that
directly lowered public saving. At the same time, the    assigned basic service provision to subnational lev-
monetization of the budget deficit and a weakening       els. Since fiscal decentralization is lagging behind,
local currency led to skyrocketing inflation. Private    however, states do not have the ability to live up to
savings immediately responded to this situation and      their responsibilities and outcomes, for instance, for
lowered their holdings. Because international evi-       education are both low and with a large variabil-
dence suggests that the Ricardian equivalence holds      ity across states. Finally, conflict, governance, and
only partially (public savings only partially crowds     debt are all complicating factors for government to
out private saving), policy makers could stimulate       effectively deliver services.
national savings by raising public saving, but not
in the current fiscal situation. Therefore, going for-   Effective public institutions increase
ward, efforts are needed to facilitate the build-up of   productivity
private savings rates through lower inflation.           Sudan has had a period of more than one decade
     In addition, the high youth dependency ratio        with positive real economic growth rates driven
has a negative influence on the savings rates in         by oil GDP since its discovery in 1999, end-
Sudan. Reducing the effective youth dependency           ing abruptly in 2011. The secession of South
ratio through job creation is an important support-      Sudan strongly affected economic activity, result-
ive factor for higher savings rates. Since most of the   ing in contraction of GDP by 2.2 percent in 2012
young workers start their career in the informal sec-    (Figure 1.6.1). The sharp drop of oil GDP and the
tor, providing job opportunities in the informal sec-    slow-down of non-oil GDP in the country as a con-
tor is a key in reducing youth unemployment. As the      sequence of the secession mainly drove this contrac-
youth dependency ratio is a critical determinant of      tion of economic activity. One of the fast growing
private saving, reducing effective youth dependency      non-oil sectors in Sudan after the secession became
ratio through job creation in the informal sector        gold mining, which accounted for 2.8 percent of
holds tremendous potential for enhancing saving.         non-oil GDP in 2012, and expanded by 64.7 per-
To provide job opportunities for the youth, labor        cent in 2012 compared to 10.4 in the previous year.
market policy would need to be specific to increase      Consequently, the non-oil GDP became one of the
the capacity of the informal sector.                     major driving forces of overall economic activity in
                                                         Sudan since 2011, registering growth rates between
b.  Ability to provide public services                   4.5 and 6.8 percent in the 2010–2012 period. But
                                                         the signing of the implementation matrix of the
The ability to provide public services relates           agreement between Sudan and South Sudan in
to the ability of governments to invest into the         March 2013 was one of the stimuli for the economic
human capital of the younger generation and              recovery in 2013 when the Sudanese economy grew
to build infrastructure that can be used for             by 2.7 percent. The signing of the agreement less-
forward-looking economic activities in the long-         ened the tensions with South Sudan and enabled
term. Sudan’s ability to provide public services is      resumption of oil production and flows from South
a constraint. Historically, GDP growth in Sudan          Sudan, enabling a growth of oil GDP by 28 percent
was rarely driven by enhancements in total factor        in 2013. Consequently, the economic recovery in
26     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     2013 was driven again mainly by oil GDP growth,              capital investments in the country fueled by the oil
     which outweighed a slow-down of non-oil GDP                  economy and satisfied through both domestic sources
     growth. In 2014, non-oil GDP grew stronger than              and FDI. Investment reached its peak over the 2003
     oil GDP, probably reflecting the new normal for              to 2006 period at about 24 percent of GDP, which
     Sudan but also the disruption of oil extraction in           was mainly achieved through expanding public
     South Sudan due to internal conflict there.                  investment, although private investment did retain
          While positive, Sudan’s growth was rather               its dominant position in the economy (Figure 1.6.5).
     volatile and its rate of expansion below the aver-                The latest and third period in the economy
     age for SSA, despite the positive effects of the oil         started in 2008 and is coined by negative TFP
     economy. The variability of GDP growth in Sudan              growth. This period includes the 2011 secession
     during the past decade (caused by the advent of oil          that is associated with the loss of the majority of
     and the secession of South Sudan) was quite high             oil reserves and related fiscal revenues. Declining
     and is the highest compared to a selection of com-           growth rates of this period was driven by a decline
     parator economies and SSA (Figure 1.6.2). Despite            in physical capital and the negative contribution of
     the extensive exploitation of natural resources, the         the TFP growth (Figure S.05). This is not surprising
     average GDP growth rate during the past decade               as investment in oil-related activities fell with the
     was in the lower half of its comparator countries            secession, FDI declined, and overall economic senti-
     (Figure 1.6.3). The level of GDP per capita in Sudan         ment declined. The severity of the contraction can be
     is also lower than the average for SSA, urging the           explained by the importance of physical capital and
     need for economic restructuring and diversifying             TFP in Sudan’s economic development prior to 2008.
     production structure and increase in productivity.                The sectoral decomposition of GDP growth
          High productivity is crucial for sustaining             suggests that, historically, the major driver of
     high growth, yet in Sudan total factor productiv-            growth in Sudan was and now still is the service
     ity has been low or even negative in the majority            sector. In fact, the services sector contributed on
     of years since oil was discovered in 1999. There             average 64.3 percent to overall value added dur-
     are three distinct period of the economy since 1989,         ing the sample period between 2003 and 2013. In
     based on an assessment of the contributions of the           contrast, the contribution of the industrial sector
     production factors by decomposing GDP growth                 was much lower with an average of 21.7 percent.
     according to the Cobb-Douglas production function            (Figure 1.6.7). A more disaggregated analysis of the
     (Figure 1.6.4). The first period can be distinguished        contributions of the value added of different produc-
     from 1989 till 1997 when the average GDP growth              tion sectors in the economy to overall GDP indicates
     reached 4.9 percent and was driven mainly by labor           that the shares of certain services such as trade, res-
     and total factor productivity growth. This was a             taurants and hotels, and transport and communica-
     period of experimenting with economic reforms and            tion has been increasing continually since 2005. This
     liberalization of the economy. The second period of          is not surprising as those services were important
     economic development of Sudan can be noted from              during the oil economy. Encouragingly, the share of
     1998 to 2007. As a result of the advent of oil, the          the manufacturing sector has increased since 2011,
     average economic growth increased by 1.2 percent-            albeit from a very low base (Figure 1.6.8).
     age points, reaching an average rate of growth of 6.1             The importance of the service sector in Sudan
     percent. Typical for this period is that the physical        is similar to most of its comparator countries,
     capital became the major driver of economic activ-           but both the contributions of the industry and
     ity, whereas the contribution of labor and TFP sig-          agriculture sectors are relatively low. The aver-
     nificantly decreased. This is a reflection of increased      age contribution of the services sector in Sudan is
                                                                                                                                                                       What kind of growth and diversification suits Sudan?                                                                                   27




FIGURE 1.6: Economic Activity
                              1) GDP growth in Sudan, 2001–2014                                                                                                                            2) Variation of GDP growth, percentage points
10%                                                                                                                       100%                                          0.9
 8%                                                                                                                       80%                                           0.8
 6%                                                                                                                       60%                                           0.7
                                                                                                                                                                        0.6
 4%                                                                                                                       40%
                                                                                                                                                                        0.5
 2%                                                                                                                       20%
                                                                                                                                                                        0.4
 0%                                                                                                                       0%                                            0.3
–2%                                                                                                                       –20%                                          0.2
–4%                                                                                                                       –40%                                          0.1
–6%                                                                                                                       –60%                                            0




                                                                                                                                                                              Sudan

                                                                                                                                                                                           Algeria

                                                                                                                                                                                                      Ethiopia

                                                                                                                                                                                                                     Egypt

                                                                                                                                                                                                                                     Kenya

                                                                                                                                                                                                                                                     SSA

                                                                                                                                                                                                                                                               Morocco

                                                                                                                                                                                                                                                                           Uganda

                                                                                                                                                                                                                                                                                      Indonesia

                                                                                                                                                                                                                                                                                                   Tanzania
      1999 2001 2003 2005 2007 2009 2011 2013
                     GDP                    Non-oil GDP                           Oil GDP (right axis)

                                 3) GDP and GDP per capita growth,                                                                                                                       4) Growth decomposition of production factors in
                                   selected countries, 2003–2013                                                                                                                                       Sudan, 1989–2012
10                                                                                                                                                                       15



                                                                                                                                     Growth rate (percentage points)
 9
 8                                                                                                                                                                       10
 7
 6                                                                                                                                                                        5
 5
 4                                                                                                                                                                        0
 3
 2                                                                                                                                                                       –5
 1
 0                                                                                                                                                                      –10
       Ethiopia

                     Uganda

                               Tanzania

                                                 Indonesia




                                                                       Sudan

                                                                                   Egypt

                                                                                             Kenya

                                                                                                         Morocco

                                                                                                                    Algeria




                                                                                                                                                                              1989
                                                                                                                                                                              1990
                                                                                                                                                                              1991
                                                                                                                                                                              1992
                                                                                                                                                                              1993
                                                                                                                                                                              1994
                                                                                                                                                                              1995
                                                                                                                                                                              1996
                                                                                                                                                                              1997
                                                                                                                                                                              1998
                                                                                                                                                                              1999
                                                                                                                                                                              2000
                                                                                                                                                                              2001
                                                                                                                                                                              2002
                                                                                                                                                                              2003
                                                                                                                                                                              2004
                                                                                                                                                                              2005
                                                                                                                                                                              2006
                                                                                                                                                                              2007
                                                                                                                                                                              2008
                                                                                                                                                                              2009
                                                                                                                                                                              2010
                                                                                                                                                                              2011
                                                                                                                                                                              2012
                                                             SSA




                                                                                                                                                                                       Total factor productivity                                           Human capital per labor
                              GDP growth                              GDP per capita growth                                                                                           Labor           Capital stock                                              Real GDP growth

                                                                                                                                                                                          6) Growth decomposition of production factors,
                     5) Public and private gross investment, 1999–2013                                                                                                                            2003–2012, percentage points
30%                                                                                                                                                                      11
                                                                                                                                                                          9
25%
                                                                                                                                                                          7
20%                                                                                                                                                                       5
15%                                                                                                                                                                       3
                                                                                                                                                                          1
10%
                                                                                                                                                                         –1
 5%                                                                                                                                                                      –3
                                                                                                                                                                              Ethiopia

                                                                                                                                                                                             Uganda

                                                                                                                                                                                                          Tanzania

                                                                                                                                                                                                                         Indonesia

                                                                                                                                                                                                                                             Kenya

                                                                                                                                                                                                                                                           Egypt

                                                                                                                                                                                                                                                                         Sudan

                                                                                                                                                                                                                                                                                    Morocco

                                                                                                                                                                                                                                                                                                  Algeria*




 0%
     1999
              2000
                      2001
                              2002
                                          2003
                                                     2004
                                                             2005
                                                                    2006
                                                                           2007
                                                                                   2008
                                                                                           2009
                                                                                                  2010
                                                                                                          2011
                                                                                                                   2012
                                                                                                                              2013




                                                                                                                                                                                         Total factor productivity                                     Human capital per labor
                              GDP growth                              GDP per capita growth                                                                                                             Labor                                        Capital stock

                                                                                                                                                                                                                                                           (continued on next page)



within the average contribution of the whole group                                                                                         added of the industrial sector to overall growth in
of comparator economies estimated at 58.3 percent                                                                                          Sudan is lagging behind the comparison countries
(Figure 1.6.9). But the average contribution of value                                                                                      whose average contribution equals 27.5 percent.
28                       COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 1.6: Economic Activity (continued)
                                                  7) Growth by production sectors, 2003–2012                                                                                                               8) Gross value added by sector, 2003–2012
                          10                                                                                                                                                        100%
                           8                                                                                                                                                         90%
                                                                                                                                                                                     80%
                           6
     Percentage points




                                                                                                                                                                                     70%
                           4                                                                                                                                                         60%
                           2                                                                                                                                                         50%
                           0                                                                                                                                                         40%
                                                                                                                                                                                     30%
                          –2
                                                                                                                                                                                     20%
                          –4                                                                                                                                                         10%
                          –6                                                                                                                                                          0%
                                  2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013                                                                                                      2005 2006 2007 2008 2009 2010 2011 2012 2013
                                                      Not defined              Services     Industry                                                                                            Agriculture      Mining  Manufacturing        Construction
                                                      Agriculture               Value added growth                                                                                                Electricity and water  Trade, restaurants and hotels
                                                                                                                                                                                                    Transport and communications      Other services

                                         9) Average value added growth by production                                                                                                                   10) Expenditure side of GDP growth in Sudan,
                                           sectors, selected economies, 2003–2012                                                                                                                                       2003–2012
        11                                                                                                                                                                            14
                                                                                                                                                                                      12
                                                                                                                                                  Growth rate (percentage points)

               9                                                                                                                                                                      10
                                                                                                                                                                                       8
                                                                                                                                                                                       6
               7                                                                                                                                                                       4
                                                                                                                                                                                       2
               5                                                                                                                                                                       0
                                                                                                                                                                                      –2
               3                                                                                                                                                                      –4
                                                                                                                                                                                      –6
                                                                                                                                                                                      –8
               1                                                                                                                                                                     –10
                                                                                                                                                                                     –12
       –1                                                                                                                                                                            –14
                                                                                                                                                                                              2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
                           Ethiopia

                                       Tanzania

                                                     Uganda

                                                              Indonesia

                                                                          Egypt

                                                                                    Morocco

                                                                                                  Kenya

                                                                                                               Sudan

                                                                                                                          Algeria




                                                                                                                                                                                                            Not defined      Net exports     Investment
                                      Agriculture             Industry            Services                Not defined                                                                                              Consumption         GDP growth

                                                                                                                       11) Expenditure side of GDP growth,
                                                                                                                         selected economies, 2003-2012
                                                                                    15

                                                                                    11

                                                                                      7

                                                                                      3

                                                                                    –1

                                                                                    –5
                                                                                              Ethiopia

                                                                                                           Tanzania

                                                                                                                       Uganda

                                                                                                                                      Indonesia

                                                                                                                                                    Kenya

                                                                                                                                                                                      Egypt

                                                                                                                                                                                                 Morocco

                                                                                                                                                                                                              Sudan

                                                                                                                                                                                                                      Algeria




                                                                                                   Consumption                      Investment                                       Net exports              Not defined

     Source: World Bank staff own calculations, based on data from World Bank World Development Indicators; and IMF World Economic Outlook.
     Note: (5) and (6): Analysis based on average data for the period 1990–2009.
                                                               What kind of growth and diversification suits Sudan?    29




Likewise, although Sudan is a country with a great           towards decentralization and enshrined it in an
agricultural potential this was undermined during            institutionalized system, especially for fiscal decen-
the period of oil discovery. Although the average            tralization. Both documents commit to fiscal decen-
contribution of agricultural production to overall           tralization, to empower sub-national governments to
value added in Sudan is—relatively speaking—not              align the use of resources more effectively with the
as low as that of industry, there seems much scope           need to address wide regional disparities and trace
for an expansion of the agriculture sector as an             the root causes of conflict.
important factor for poverty alleviation over the                 The INC provides the legal framework for
short and medium term.                                       state and local legislative assemblies to oversee
     From the expenditure side of GDP in Sudan               the functioning of the various levels of sub-
it is clear that domestic consumption (public and            national government. The CPA established that
private) has been the major driver of GDP growth             decentralization and empowerment of all levels of
over the past decade and the role of investment              government are cardinal principles of effective and
was rather modest. The average contribution of               fair administration of the country. At the same time,
consumption to GDP growth in Sudan is estimated              the CPA provided for a major reform to fiscal decen-
at 92.8 percent (Figure 1.6.10). The relative impor-         tralization by the creation of the Fiscal and Financial
tance of domestic consumption in the economy was             Allocation and Monitoring Commission (FFAMC) to
in fact the highest in Sudan relative to its compara-        ensure a formula-based intergovernmental transfers
tor countries (Figure 1.6.11). This is not surprising        system, though it remains unclear how this system
given the closed character of the economy that is            is used in practice (World Bank 2013d).
also subject to a series of economic and financial                Decentralization has devolved a number of
sector sanctions since 1997. On the other hand, the          key responsibilities to the sub-national govern-
contribution of investment on GDP growth in Sudan            ments; particularly vis-à-vis publicly funded pro-
is quite low and in fact the lowest among the com-           poor activities. According to the INC of 2005 Article
parator economies despite the increase of domestic           24-B, obligatory responsibilities for sub-national
and foreign direct investments after the oil discov-         governments include the provision of social services
ery. This suggests that the growth in investment             (e.g., education, health, and registration of persons);
was below the potential of the Sudanese economy.             regulation of businesses; and management of land. At
                                                             the top of that system is the National Government,
Fiscal decentralization and devolution of                    which has overall responsibility over functions such
basic service delivery                                       as foreign policy, defense, security, immigration,
Sudan has undertaken political decentralization              monetary affairs, and others (World Bank 2013d).
reforms since the early 1990s with the aim to tran-               In reality, however, sometimes the division
sition the responsibility for basic service delivery         of responsibilities is less clear-cut. In health and
to the subnational, state level. Sudan’s government          education, for instance, the National Government
administration has three tiers: federal, state, and local,   is involved in funding service delivery in specific
with elected legislatures at each level and elected state    geographic areas (hard-to-reach) or to specific popu-
governors. At the sub-national level there are now 18        lation groups (e.g., mothers, under five children).
states each with several localities. Sudan’s decentral-      Therefore, equally important is building an under-
ization is governed by a plethora of laws and agree-         standing of respective responsibilities within a fed-
ments. The Interim National Constitution (INC) and           eral system (World Bank 2013d). While the Federal
the Comprehensive Peace Agreement (CPA) of 2005              Ministry has a revenue generation and financing
represented critical milestones for Sudan’s efforts          mandate, it also has coordinating, monitoring and
30     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     support (for poor performing states) functions,              well as horizontal (inter-state) imbalances due to
     which it seems to have largely relinquished to lower         differing own-revenue potential and differing needs.
     levels of government for service delivery. The result        Several recent studies on Sudan have shown that the
     is that no one is held accountable for results and           effects of fiscal transfers to equalize social spending
     ultimately the burden of service provision falls on          and social outcomes patterns have been very limited,
     the intended beneficiary.                                    mostly due to weaknesses in the design of the inter-
          A sound revenue assignment system is an                 governmental fiscal transfer systems (World Bank
     essential pre-condition for successful fiscal                2007; World Bank 2011; and World Bank 2013d).
     decentralization. In certain fragile states, such as              Fiscal decentralization has brought consider-
     Sudan, the soundness of the sub-national revenue             able extra resources to the States and substan-
     stream is a factor of the share of revenues collected        tially increased overall per capita social spending
     by sub-national entities, given the poor reliability         over the past ten years. Federal spending in health
     of the transfers from the central to sub-national            and education at the state level has substantially
     governments (World Bank PER 2013). In addition               increased over the past decade, particularly since the
     to raising revenues, local revenue mobilization also         establishment of the Interim Constitution (INC) in
     has the potential to foster political and administra-        2005. In real terms, and after adjusting for popula-
     tive accountability by empowering communities.               tion growth, education spending as per school-age
     Further, communities are likely to be willing to             population has grown by an average of 22 per per-
     pay local taxes if the proceeds are used to provide          cent per year, from SDG697 in 2000 to SDG2,242
     local services.                                              in 2010. This suggests the government has put sub-
          In addition, sub-national entities are empow-           stantial efforts into expanding public education and
     ered by the INC to collect “own revenue.” Own                increasing enrollment among school-age children
     revenue is one of the three sources of funding for           (Figure 1.7.1, left-hand panel). Per capita health
     states and localities, in addition to federal transfers      spending by the federal government at the state
     and shared revenues. Article 195 of the Interim              level has also followed a very similar trend. In real
     National Constitution empowers states to collect             terms, and after adjusting for population growth, per
     own revenue from ten specific sources, and also              capita health spending has grown by an average of
     allows them to introduce “any other tax as may be            26 per percent per year, from SDG229 in 2000 to
     determined by law” (Interim Constitution 2005).              SDG829 in 2010 (Figure 1.7.1, right-hand panel).
     The states have the highest degree of autonomy                    Yet, the observed increase in social spending
     in defining own revenues, including authority to             has not translated into a more balanced distribu-
     determine rates (World Bank 2013d).                          tion of resources by the government to address
          Since resource disparities exists across the            inequality across states and reduce poverty gaps.
     states of Sudan, the primary component of suc-               Public spending on social investments, as measured
     cessful fiscal decentralization is a more equitable          by per capita federal spending in health and educa-
     and transparent system of intergovernmental                  tion, is disproportionately allocated across states,
     resource allocation across different levels of               largely favoring states with low incidence of poverty
     government. The specific objective of a sound inter-         as measured by census data. Yet, annual per capita
     governmental transfer system is to address vertical          social expenditure in these three states was on
     imbalances between the center and sub-national               average only a third of that reported for the richest
     levels of government with respect to revenues and            state in the country, Khartoum Figure 1.7.2, panels
     responsibilities (as expenditure responsibility for          (a) and (b). It also appears that fiscal decentraliza-
     basic services shifted to state and local levels), as        tion has not had any observable effect in the way
                                                               What kind of growth and diversification suits Sudan?             31




in which federal resources are allocated towards          and southern regions was largely resolved by the
social investments by the states. Figure 1.7.2, panels    secession of the latter to form the Republic of South
(c) and (d) show the average real per capita spend-       Sudan in July 2011, tensions still remain. Several
ing in health and education before and after fiscal       other conflicts with varied histories persist in dif-
decentralization, with allocation patterns seeming        ferent stages of intensity, stalemate, or resolution.
to have remained largely unchanged.                       Weak institutions at both national and subnational
     Ultimately, the weaknesses in public service         levels are unable to resolve most conflicts, often
provision in Sudan stem from poor prioritiza-             resulting in violence. Violent conflict, especially
tion of spending and an inadequate focus on               rebellion against the center and armed response
results. Regional imbalances are consistently robust      by the state, is a direct contributor to the extreme
and clearly evident when looking at the state and         poverty in Sudan’s conflict-affected areas. Security
local-level education outcomes for different states       concerns continue to inordinately shape economic
(Figure 1.7.3). In education, measured by state           and fiscal choices made by the government resulting
education spending per school-age population,             in detrimental development outcomes and perpetu-
federal government investments across states are          ating weak institutions for public goods provision.
strikingly different, particularly favoring the expan-        Sudan presents institutional discontinui-
sion of basic education in relatively richer states. In   ties across its various regions, reflected in its
2009, state spending in education per school-age          regional economic imbalances and its geography
population in South Darfur (SDG64), West Darfur           of conflict. At the center, Sudan has institutions
(SDG96), and North Darfur (SDG115) was on aver-           that enforce compliance and execute core state
age half of that in Khartoum (SDG216), and a fourth       functions of providing security, commanding fis-
of that in Northern state (SDG429). State education       cal mechanisms, and delivering services. However,
spending per student, which measures the govern-          state presence and effectiveness diminishes further
ment effort to improve the quality and access to edu-     outside Khartoum and is outright contested in
cation among children already enrolled in school,         many peripheral areas. As with political power, the
shows similar patterns. Exceptions are the Red Sea        economy is centered in Khartoum and proximate
and Kassala states, where the government seems to         riverine states, giving rise to significant inequality
be investing disproportionately more on improving         between the center and periphery, and historically
quality and access to education among students, as        between riverine and hinterland communities.
compared with other states that have similar levels       Development indicators starkly mark the resulting
of poverty. Similar outcome trends are observable         inequality: while Sudan boasts a GNI per capita of
in health and water and sanitation and the World          US$1490 (i.e., lower middle-income) its poverty
Bank (2013d) provides in-depth analysis of this.          rate is 46.5 percent. In fact, poverty ranges from
                                                          26 percent in Khartoum state to 62.7 percent in
Conflict, governance and debt:                            Darfur, based on 2009 data.
Complicating factors for government to                        The secession of South Sudan solved the
effectively deliver services13                            key conflict in Sudan, but not all conflict has
Sudan has been in conflict for most of its inde-          been eliminated; tensions continue and are
pendence history. This conflict arises out of non-        expected to persist in the foreseeable future.
inclusive institutions with limited effectiveness         The most potentially disruptive conflict remains
and often-disputed legitimacy across Sudan, and
has resulted in depressed development outcomes.           13
                                                            This section is largely based on analysis presented in World Bank
While the defining conflict between the northern          (2013e): World Bank’s Interim Strategy Note for FY14 and 15.
32            COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 1.7: Health and Education Spending and Outcomes in Sudan
                                                                   1) Federal health and education spending
                           a) State education spending per school-age population                                       b) State per capital health spending

                3000
                                                                                                    1000
                2500
                                                                                                     800
                2000
     In SDG




                                                                                           In SDG
                                                                                                     600
                1500

                1000                                                                                 400

                 500                                                                                 200
                       2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010                              2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

                                                   2) Poverty rates and per capita federal expenditure in health and education
                                a) Poverty rates by State                                                         b) Per capital federal social spending




                                                                      %                                                                                       SDG
                                                                      3–16                                                                                    13–18
                                                                      16–40                                                                                   18–22
                                                                      40–60                                                                                   22–33
                                                                      60–74                                                                                   33–50
                                                                      74–82                                                                                   50–80


                        c) Real per capital federal social spending                                             d) Real per capital federal social spending
                                before fiscal decentralizing                                                              after fiscal decentralizing




                                                                      %                                                                                       SDG
                                                                      2–4                                                                                     6–9
                                                                      4–6                                                                                     9–14
                                                                      6–8                                                                                     14–18
                                                                      8–11                                                                                    18–25
                                                                      11–15                                                                                   25–29


                                                                                                                                                (continued on next page)




     in the “Three Protocol Areas” (Blue Nile and South                                     most from insecurity due to the conflict between
     Kordofan states and Abyei area) where previous                                         the Misseriya and the Dinka-Ngok over natural
     peace protocols have not yet been fully imple-                                         resources (water and pasture) in the borderlands
     mented. Abyei is one of the areas that suffered                                        of Sudan and South Sudan.
                                                                                   What kind of growth and diversification suits Sudan?               33




FIGURE 1.7: Health and Education Spending and Outcomes in Sudan (continued)
                                                        3) Poverty rates and education outcomes
                    a) Poverty rates by State                                       b) State spending in education per school-age population




                                                            %                                                                              in SDG
                                                            3–16                                                                           64–108
                                                            16–40                                                                          108–139
                                                            40–60                                                                          139–177
                                                            60–74                                                                          177–244
                                                            74–82                                                                          244–429


         c) State spending per student in basic education                              d) Number of teachers per school-age population




                                                            in SDG
                                                            124–178                                                                      Per 10,000
                                                            178–208                                                                      1–11
                                                            208–276                                                                      11–20
                                                            276–305                                                                      20–35
                                                            305–542                                                                      35–58
                                                                                                                                         58–136
                                                                                                                                         No data

Source: World Bank (2013d).



     In most regions of Sudan, conflict over access                            as well as displacement from internal and regional
to natural resources between pastoralists, agro-                               conflicts, and lack of well-regulated resource sharing
pastoralists, and settled farmers is endemic and                               among different groups, including across borders.
also contributes to regional conflict, such as in                                   Weak governance and accountability have
the Sahel. Such conflict often leads to violence                               contributed to fragility and conflict, including
due to weak institutions for conflict management                               between the center and periphery. While some
and especially weak natural resources management                               progress in government openness and pro-poor
regimes. Climate change is likely to put further                               policy has been made, particularly since the sign-
pressure on already fragile ecosystems and the                                 ing of the CPA and the enactment of the Interim
livelihoods dependent on them, which may lead                                  National Constitution in 2005, there remains a
to further conflicts. In the western part of Sudan,                            substantial governance agenda ahead. Progress in
especially in Darfur, conflict is exacerbated by                               the delivery of basic services has been uneven and
porous borders that allow easy movement of rebels                              an acute challenge in peripheral areas. Governance
and arms, population shifts due to climatic changes                            institutions necessary to effect sound public financial
34     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     management—define and execute sectoral strategies;           for example with regard to irrigation, which has
     and ensure transparent, efficient, and equitable inter-      involved a shift from directly using technical spe-
     governmental transfers—remain weak. As shown in              cialist skills toward being an attempt to play more
     various governance indicators, Sudan’s capacity to           of a policy role (World Bank, 2015b).
     maintain peace and security, promote rule of law,                 Corruption drives fragility and conflict in
     control corruption, and effectively manage public            Sudan, reinforcing barriers to investment and
     finance for delivery of services to the population           equitable growth that would provide opportuni-
     remains very low in absolute and in comparative              ties to citizens. Institutional and governance weak-
     terms, and has hardly changed since 1996.                    nesses are further exacerbated by internal conflict,
          At the same time, conflict and fragility con-           regional tensions, and international isolation, all of
     tribute to the plethora of governance challenges             which conspire to divert attention away from the
     in Sudan. In fact, Sudan’s governance quality has            governance agenda. A weak civil society is unable
     been stagnating or declining over the past decade.           to mount effective demands for improved corrup-
     In particular, government effectiveness has declined,        tion prevention and oversight systems or for greater
     and control of corruption deteriorated, according to         transparency that help reduce the opportunities for
     the Worldwide Governance Indicators and reported             corruption and misuse of resources.
     in World Bank (2015b). In addition, Government                    Intrinsic to issues of allocation and man-
     effectiveness has suffered due to an extended period         agement of resources and the need for greater
     of deciding appointments and promotions based on             transparency and accountability are the broader
     loyalty rather than merit, as well as relative interna-      issues of the transformation of the state by pro-
     tional isolation. The relative quality of staff in line      viding for more participation of citizens and
     ministries in Sudan has tended to decline over time          communities in decisions. The government indi-
     due to a confluence of several factors. Since 1989, a        cation of its willingness to engage in an inclusive
     shift in hiring preferences from meritocratic criteria       process towards a new constitution might mitigate
     to considerations about political loyalty was put in         the lack of political reforms following the end of
     place under the slogan of “empowerment.” This was            the CPA. As the World Development Report 2011
     compounded by more limited access to international           points out (World Bank 2011c), inclusive com-
     education and knowledge exchanges over the past              pacts are crucial to reducing the exclusion that
     20 years compared to earlier periods.                        often drives conflict and participatory governance
          In addition, coordination challenges have               is necessary to restore confidence in public gov-
     been increased by the practice of establishing               ernance at national and local levels. For Sudan,
     various additional councils and by the process               heeding calls by civil society and political parties
     of decentralization (Word Bank, 2015b). High-                for fair elections and an all-inclusive and partici-
     level councils are often appointed ad hoc, mostly            patory constitution-making process may represent
     without a clear link to implementing agencies.               the best opportunity to ground the needed insti-
     Sector ministries have been requested to second              tutional changes in a sustainable political process.
     staff to such councils, including particularly moti-         The Bank’s previous analytical and technical assis-
     vated or well-qualified staff. In addition, the more         tance work with the supreme audit institution and
     decentralized system of governance means that                parliamentary oversight committees (e.g., budget
     state-level ministries have assumed a larger role            and public finance committees) has also produced
     in implementation. As a result, national minis-              modest results in transparency in the management
     tries have struggled with adjusting from a role of           and use of revenue and follow up of reports of the
     “doing things” to “organizing how things are done,”          audit institution.
                                                              What kind of growth and diversification suits Sudan?                35




     Sudan’s prospects for service delivery and          and addressing the skills gap. Governance and
poverty reduction are also hampered by its               accountability problems also need to be addressed.
huge stock of external debt, most of which is            Enhancing policy certainty and predictability
in arrears, with the implication that Sudan is           requires the reduction and removal of the legal and
cut off from much needed official development            regulatory hurdles to business.
assistance. Sudan is also in arrears with multilat-          Since 2008 Sudan has experienced a slight
eral creditors, including the World Bank, the IMF,       deterioration in the business-enabling environ-
and the AfDB. The clearance of arrears would allow       ment. All of the DB indicators experienced a relative
Sudan to access significant levels of concessional       decline in their rankings,14 with “Getting Credit”
financing. Resolving Sudan’s debt crisis would make      and “Starting a Business” indicators experiencing
available significant resources for its development,     significant drops in comparison with other indica-
providing an opportunity to have a transformative        tors. The secession of South Sudan in 2011 and
impact on poverty and inequality in the country.         the cross-border tension resulting in the disrup-
Sanctions imposed on Sudan since 1997 are a major        tion of oil flows certainly influenced the changes to
stumbling block for the country to reach HIPC debt       the business environment in Sudan (Figures 1.8.1
relief (see next section on the impact of sanctions      and 1.8.2).
on economic activity).                                       Sudan lags behind the comparators in get-
                                                         ting credit and protecting investors, resulting
c.  Ability to regulate economic activity                in a lower rank for the ease of doing business.
                                                         Sudan ranked at 170 for getting credit and 157 for
Finally, the ability to regulate economic activi-        protecting investors in the Doing Business indica-
ties refers to the Government’s capabilities to          tors (2014). When it comes to starting a business,
establish and nurture a business-enabling envi-          Sudan’s performance is similar to the compara-
ronment. The Sudanese business environment has           tor countries. Sudan ranked at 131 for starting a
stagnated or is even slightly deteriorated since 2008,   business while Kenya was at 134 and Ethiopia at
a key factor holding back private activities in sup-     166, respectively (Figure 1.8.3). The difficulties of
port of the Government’s diversification agenda. The     running a business in Sudan lie more in the lack
picture here is also being complicated by the eco-       of support to investors and business people than
nomic and financial sanctions imposed on Sudan.          administrative procedure. The strength of the inves-
                                                         tor protection index is relatively low at 3.3 out of
Business enabling environment                            10 (Figure 1.8.4).
The business environment in Sudan remains                    Compared to other indicators of doing busi-
challenging. The 2014 Doing Business (DB) report         ness, the tax regime in Sudan is relatively favor-
ranks Sudan 149 out of 189 economies; it is ranked       able to enterprises. A new tax law since 2009 has
marginally lower in comparison with some of its          reduced the tax burden on business by reducing
regional neighbors (Kenya at 129, Uganda at 132,         the corporate tax rate by an average of 15 percent,
and Ethiopia at 125). Enabling Sudan to benefit          and the capital gains tax by an average of 5 per-
more fully from the export and growth opportuni-         cent. Moreover, the tax on labor has been abol-
ties offered by both the regional and global econ-       ished (Doing Business, 2014). Corporate tax rates
omy requires improving the business environment,
facilitating trade and regional integration within
                                                         14
                                                           The number of economies for DB reports varies from year to year;
COMESA and the GAFTA, making credit more                 therefore, this drop in ranking cannot be explained assertively due to
available and affordable, especially to smallholders’,   the deterioration of the Sudanese business environment.
36     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     in Sudan differ, depending on the business activi-           businesses may be registered as a sole trader, partner-
     ties of the company,15 which effectively discrimi-           ship, a limited liability company (private or public),
     nates against the sectors with the relatively higher         special concession, or branch of a foreign registered
     tax rates and distorts the allocation of investment          company (U.S. State Department 2013).
     (Figure 1.8.5).                                                   Under the 2013 law all service sectors are, in
          The standard Value Added Tax (VAT) is also              principle, open to foreign ownership. However,
     comparable with the neighboring countries. The               existing government monopolies and other licensing
     standard VAT rate is 17 percent in Sudan, with a             requirements effectively limit the opportunities for
     special 30 percent rate imposed on telecommunica-            private investment in the transportation, media, and
     tion services. The VAT rate is similar to its neigh-         communications sectors. More precisely, railway
     bors; in Uganda, the standard rate is 18 percent and         freight transportation, airport operation, television
     in Kenya 16 percent (COMESA 2009) respectively.              broadcasting, and newspaper publishing continue to
          A wide range of activities and services are             be effectively closed to foreign capital participation.
     exempt from VAT. Activities related to agriculture                New legislation aims to reduce red tape for
     (agricultural products, seeds, and fertilizer), medi-        investors, both domestic and foreign. The High
     cines, bread and locally produced wheat flour, ani-          Council for Investment was established 2011 with a
     mals, meat, fish, chicken and chicken products, and          mandate to facilitate investment procedures and fol-
     milk and dairy products are all exempt. Financial,           low up on implementing the incentives (Africa Legal
     insurance, education, and medical services as well           Network 2013). In addition, a new National Agency
     as the rental and sale of real estate for residential        for Investment is to be established with financial and
     purpose are also exempt from VAT (Africa Legal               administrative independence under the new law in
     Network 2013).                                               2013. It will act as the administrator for licensing,
          Sudan has encouraged private sector invest-             granting investment projects, and the preparation of
     ments, aiming at diversifying its economy with               investment plans. This Agency will also manage the
     foreign direct investment. Sudan had attracted               “investment single window” with the membership
     substantial amounts of foreign direct investment             of the commissioners of the ministries and other
     (FDI) after the signing of the CPA in 2005, but              agencies concerned with investment.18
     most of the investment was probably destined for                  Sudan has succeeded in reducing the number
     the oil and petroleum sector. Therefore, following           of days to import and export with the introduc-
     the secession of the South Sudan, the amount of              tion of automation; however, the operational
     FDI has dropped.16 The government has established            procedures to import and export have not
     incentives to encourage investment. The president            changed much (Figure 1.8.6). The beginning of
     signed the new National Investment Promotion Law
     (provisional decree) on March 2013. This law pro-
     hibits discrimination against foreigners and allows          15
                                                                     Zero percent for agricultural activities; 10 percent for industrial
                                                                  activities; 15 percent for commercial and service activities, real es-
     both domestic and foreign investors to have access to        tate rental companies, and banks, insurance and fund management
     incentives described in the law and the regulation,17        companies; 30 percent for cigarette and tobacco companies; and 35
                                                                  percent for companies engaged in the exploration, extraction and
     such as licensing, tax exemption, and land access.           distribution of oil and gas, and their subcontractors (Deloitte 2013).
     Foreign private entities can establish and own busi-         16
                                                                     FDI inflows to Sudan were US$2,894 million in 2010 and US$2,692
                                                                  million in 2011 (COMESA 2012).
     ness enterprises, and repatriate capital and profits,        17
                                                                     The earlier Investment regulation 2000 (amended in 2003) is avail-
     on the condition that investors open an investment           able at http://www.sudanembassy.ca/Docs/Investment%20regulations.
                                                                  pdf (Sudanese Embassy for Canada).
     account at the Central Bank of Sudan (CBS) before            18
                                                                     National Investment Promotion Law of 2013, National Agency for
     entering into business. Foreign and domestic private         Investment (English Translation)
                                                                                             What kind of growth and diversification suits Sudan?                          37




FIGURE 1.8: Business Enabling Environment
                                                                                                                    2) Doing Business 2012 and 2014:
                        1) Doing Business ranking for Sudan                                                          Ease of Doing Business Ranking
         Enforcing contracts                                                                 Mongolia
    Trading across borders                                                                   Indonesia
                Paying taxes
                                                                                                Ghana
        Protecting investors
                                                                                               Uganda
               Getting credit
                                                                                               Ethiopia
        Registering property
         Starting a business                                                                     Kenya
Ease of doing business rank                                                                     Sudan
                                 0      25      50     75      100 125 150 175                            0      25       50       75     100      125     150     175
                               DB2014 (out of 189 economies)                                                                   Ease of DB ranking 2012
                               DB2011 (out of 183 economies)                                                                   Ease of DB ranking 2014
                               DB2008 (out of 178 economies)

                        3) Starting a business in Sudan and
                       comparators in Doing Business 2014                                                     4) Doing Business 2014: Ranking by component
       60                                                                            180
                                                                                             Mongolia
       50
                                                                                     130     Indonesia
       40                                                                                       Ghana
Days




       30                                                                            80        Uganda

       20                                                                                      Ethiopia
                                                                                     30          Kenya
       10
                                                                                                Sudan
        0                                                                            –20
               SDN      KEN      ETH         UGA       GHA          IND      MON                          0      25      50        75      100      125      150     175
             Procedure (No.)         Time (days)           Starting a businesss (rank)                           Paying tax (rank)       Protecting investors (rank)
                                                                                                                              Getting credit (rank)

                      5) Profit tax (%) in Doing Business 2014                                                 6) Trading Across Borders indicator for Sudan

                                28.2
       26                                                    25.2                           Time to import (days)
                22                                                                                 Documents to
                        18.1                                          18.4                       import (number)
                                                                              16.1
                                                   13.8                                     Time to export (days)
                                         10.2
                                                                                                   Documents to
                                                                                                 export (number)

                                                                                                                    0      10       20     30      40       50      60
       ETH      GHA     IND     KEN      MON         SDN      UGA     SSA OECD                                             DB2014         DB2011         DB2008

                                                                                                                                            (continued on next page)


the introduction of ASYCUDA World coincided                                                with documents remained largely unchanged. The
with the reduction of time to import and export.                                           relatively long time required for importing and
While cooperation between the related agencies                                             exporting are indicative of high trade costs. Indeed
has improved through the ASYCUDA system, the                                               the time taken for clearances may be converted into
Doing Business indicators imply the procedure                                              an ad valorem equivalent (Nathan 2007).
38      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 1.8: Business Enabling Environment (continued)
                        7) Trading Across Borders indicator,                                       8) Cost to Import and Export (US$ per containers),
                            Sudan and selected countries                                                      Sudan and selected countries
     MON                                                                                SDN
       IND                                                                              UGA
      GHA                                                                              MON
      UGA                                                                               KEN
      ETH                                                                               IND
      KEN                                                                               GHA
      SDN                                                                               ETH
             0     25       50      75          100   125      150    175                   $0         $750         $1,500      $2,250        $3,000
                                         Rank                                                         Cost to export (US$)       Cost to import (US$)

     Source: World Bank staff own calculations, based on data from Doing Business various years.




          For a country with sea access Sudan has a                                 a variety of goods to Sudan subject to a regime
     relatively low ranking on the trade facilitation                               of export controls related to military or dual-use
     component of the Doing Business indicators                                     goods. In 2004, the United Nations imposed an
     (Figures 1.8.7). The Doing Business (2014) rank-                               arms embargo on non-governmental actors in the
     ing for Sudan (155th) on trading across borders is                             three provinces of Darfur, including the Janjaweed.
     closer to the ones for landlocked countries and                                In 2005, under UNSCR 1556, the United Nations
     slightly worse than the regional average for SSA                               imposed a travel ban and asset freezes on specified
     (141). Landlocked countries, such as Uganda and                                individuals, “those impeding the peace process in
     Ethiopia in the comparators, often have more pen-                              Darfur.” From 2005 onwards, specific sanctions have
     alties than non-landlocked ones in trading across                              been imposed by the European Union, including
     borders (Alvis et al. 2010). Sudan, with relatively                            individual sanctions by the Netherlands and United
     good port infrastructure, does not appear to be tak-                           Kingdom; Switzerland, Canada, Australia, New
     ing full advantage of its geographic location. It is                           Zealand, and Singapore. These sanctions may have
     notable that the cost to import is close to the price                          constrained the supply of foreign exchange to Sudan.
     for the neighboring comparator landlocked coun-                                     But there are also examples of sanction
     tries (Figures 1.8.8).                                                         related easing and tightening—in the area of gum
                                                                                    arabic trade and financial sector transactions—
     Impact of sanctions regime on Sudan                                            that do not arise from Executive Orders. To
     The United States imposed economic sanc-                                       illustrate, gum arabic is not exempt from sanctions,
     tions on Sudan in 1997 through a United States                                 but trade is permitted with traders that hold spe-
     Executive Order. This order, taking the form of a                              cial licenses. In November 2000, the U.S. Congress
     national emergency and originally consisting of a                              adopted legislation to require the Secretary of the
     comprehensive ban on bilateral trade, as well as spe-                          Treasury to consider approving licenses for the
     cific sanctions relating to the arms trade and certain                         import of gum arabic from Sudan. As a result, gum
     financial transactions, has been relaxed over time.                            arabic became an exception to the comprehensive
     Annex 3 provides a timeline of sanctions between                               trade restrictions imposed by the Executive Branch
     1997 and 2014. Over the years, the trade sanctions                             (World Bank, 2015a). On the other hand, a multi-
     have been relaxed. The United States now exports                               billion ruling against BNP Paribas in June 2014 for
                                                            What kind of growth and diversification suits Sudan?   39




facilitating foreign exchange transactions between           fleet, which requires spare parts from western
Sudan (and other countries under sanctions) with             countries.
the rest of the World led to a de facto and significant    At the Customs Authority there are indica-
tightening in financial sector restrictions. In effect,      tions that important technical infrastructure and
that led to a breakdown in the foreign corresponding         resources (e.g., scanners) are not being used to
bank network of Sudanese banks and brought for-              their full potential because of on-going support
eign exchange transactions with Sudan to a virtual           and maintenance issues. The investment in such
standstill for much of 2014 (IMF 2014b).                     technical infrastructure needs to be accompa-
     The largest, yet most difficult to assess               nied by on-going support and maintenance
impact of the sanctions regime on Sudan is trans-            contracts, which are sometime not possible due
mitted through the financial system. Financial               to the sanctions.
sanctions create difficulties for non-U.S. companies       The national airline, Sudan Airways is not
in trading with Sudan, partly due to the fact that           able to maintain its whole fleet; some aircraft
US$ transactions are routed through the U.S., and            are grounded due to lack of spare parts. Some
partly due to the fact that many non-U.S. banks have         international airlines are also not able to repa-
very significant dealings with the U.S. and want to          triate their profits due to the non-availability
avoid the appearance of being involved in trade with         of foreign currency through official channels.
Sudan (World Bank, 2015a). To illustrate: although           The latter is one of the reasons given for the
Sudan quotes gum arabic prices in US$, all purchase          January 2014 withdrawal of Lufthansa from the
transactions have to be made in Euros; but despite           Sudanese market.
this many banks refuse to be involved in the trade,        The Tourism Sector is restricted by the lim-
especially after the BNP Paribas ruling. In Germany,         ited technology available and the inability to
it was reported that Commerzbank was one of the              use credit cards in Sudan. The U.S. embargo
few that would still accept transactions involving           has had a negative impact on tourism to the
Sudan. In the UK, it was reported that Barclays              country, both in terms of creating a much more
had refused to accept transactions with Sudan. In            challenging business environment for operators
a similar way, it was also reported that the Gum             as well as creating a major inconvenience for
Arabic Board (GAB) of Sudan had not been able to             tourists. Tourism businesses face major chal-
take a stall at the 2013 Food Ingredients Europe             lenges when trying to obtain essential equip-
trade show, the major European trade show for the            ment such as commonly used front desk and
food ingredients business, as it is organized by an          restaurant management systems. Without the
American company.                                            ability to use credit cards, they must spend time
     Sanctions have also a direct impact on the              and money to obtain licenses in order to make
real economy through restrictions on sourcing                international transfers of funds. The embargo
of inputs and replacement parts. Over the years,             also results in high transaction costs for tour
a great deal of anecdotal evidence of the negative           operators and hotel owners to receive funds
impact has emerged, much of which are men-                   sent by international tour operators via non-
tioned in discussions with representatives of the            commercial banking systems such as Western
Government of Sudan. Specific examples include               Union or wired through third-party accounts
(World Bank 2014e):                                          in neighboring countries.

 Sudan Railway Corporation has explicit                     The absolute level of real economy impact
    problems in maintaining their locomotive              of sanctions remains unknown. For instance,
40          COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     Sudan’s non-oil exports are concentrated in a small                              reduces export sales to the U.S. market directly. Both
     number of markets, but this is likely not solely a                               foreign exchange shortages and U.S. export controls
     consequence of economic sanctions against Sudan                                  on specific goods could prevent Sudan from import-
     (World Bank 2014e). In fact, it appears that Sudan                               ing intermediate goods used either for production
     is isolated even within Africa. However, sanctions                               in the domestic economy, or for export.
     have exacerbated the isolation through increasing
     the difficulty in settling cross-border payments,                                   Lessons for Sudan: Growing
                                                                                      D. 
     which affects trade with all partners including their                               Endowments and the Production Base
     African neighbors. The United Arab Emirates has
     always been a key trading partner for Sudan; Canada                              This initial chapter reviewed recent key litera-
     was a particularly important partner in 2009 but has                             ture on growth and diversification with a view of
     declined; and since 2010 Saudi Arabia has steadily                               defining a suitable approach for Sudan. Looking
     become an important market for Sudanese exports.                                 into the future to 2030, the sectoral structure of
          Yet, there is reason and evidence to believe                                Sudan’s economy shows a growing importance of
     that a normalization of relations with the rest of                               agriculture, less importance of extractives, and rela-
     the world, including a lifting of economic sanc-                                 tive stability of other sectors (manufacturing, ser-
     tions, could promote export diversification. The                                 vices). The simulation presented also shows that the
     simulations presented in chapter 1.A confirm this                                strongest growth rates are coming from sectors that
     view. Over the years since 1997 the trade sanctions                              are capable of producing internationally competi-
     have been relaxed. But sanctions on financial trans-                             tive tradables. Simulations thus suggest that in the
     actions limit the ability of Sudan to engage in inter-                           absence of dominant resource-based exports, growth
     national trade, both its ability to finance imports in                           in the future must be centered on sectors producing
     general and to engage in some export transactions                                tradables that are exported and/or replace imports.
     that require the intermediary of a foreign bank.                                      There appears to be a case for Sudan to
     While all systems of government foreign exchange                                 approach growth through diversification from
     allocation are likely to impose inefficiencies, these                            two angles: the production and the endowment
     inefficiencies are likely to be greater when sanctions                           base. Figure 1.9 distinguishes both approaches into
     make foreign exchange particularly scarce. The U.S.                              a direct and an indirect one and provides illustra-
     embargo on all Sudanese exports except gum arabic                                tive examples. Taken together the direct and indi-
                                                                                      rect approach define a coherent way for Sudan to
     FIGURE 1.9: Two Approaches to Diversify an                                      diversify that takes into consideration the current
                             Economy                                                  and future sectoral structure of the economy, exist-
                                                                                      ing sectoral policies of the Government, as well as
     Goal




                             Structural Transformation / Diversification               the need for long-term institution building as a
                                                                                      foundation for diversification through broadening
                     ‘Direct Approach’                    ‘Indirect Approach’
                                                                                      the national endowment base.
     Approach




                      Interventions in               Foundation for any economic
                                                                                           The CEM therefore uses a sectoral focus and
                     economic sectors                    activity to flourish          looks at agriculture as sources for diversification,
                                                                                      but also makes the case that trading of goods and
                  Export                           Macroeconomic Human capital
                                  Tax holidays                                        services—especially of the higher value-added
     Examples




                promotion                             policies   and infrastructure
                Fertilizer      Targeted import                 Business              kind—could be a means to grow the endowment
                subsidies         substitution           enabling environment
                                                                                      base of the country. It is from this framework that
     Source: World Bank staff own visualization, based on World Bank (2014d).         the remainder of this CEM unfolds with a detailed
                                                             What kind of growth and diversification suits Sudan?   41




analysis of agriculture and trade of goods and ser-           the population would be instrumental for devel-
vices, and concludes with an analysis of the extrac-          opment in Sudan. This is not only important for
tive sectors (oil, gold) in search of fiscal support for      the productive sector as in important input, but
the diversification agenda of the future.                     also for financing trade activities where foreign
                                                              currency is needed. The economic and financial
a. 
   Macroeconomic management crucial for                       sanctions implemented since 1997 play a role
   economic growth                                            in this, and in fact have recently even tightened
                                                              due the BNP Paribas court ruling, bringing trade
From the Growth Report come a number of clear                 financing activities to a virtual standstill.
macroeconomic policies that were underlying                 Macroeconomic stability: The macro economy
economic growth periods in other countries that               was stabilized as part of the oil economy in the
are of relevance for Sudan (World Bank 2008a).                2000s, but had started to show vulnerabili-
Reviewing Sudan’s record vis-à-vis those policies             ties even before the secession of South Sudan.
indicated a number of important policy areas where            Inflation has been (and remains) high and vola-
Sudan has scope to improve its emphasis:                      tile since 2008. Budget deficits have always been
                                                              high, which is reflected in the high indebtedness
 Investment and savings: High rates of invest-              of the country.
   ment and savings were driven by the oil econ-
   omy of the past. In the post-secession Sudan,                Careful management of the real exchange
   efforts are needed to increase the investment           rate will be particularly important for Sudan’s
   rate to past levels supported by domestic sav-          economy in the future for an overall low infla-
   ings. Key will be to rely less on public resources,     tion environment. Sudan’s real exchange rate of the
   which were much driven by the oil economy,              past decades was significantly overvalued and still is
   and encourage private investment and a combi-           so today, despite several rounds of nominal depre-
   nation of domestic and foreign savings.                 ciations that took place in 2012 and 2013. Those
 Technology and know-how transfer: FDI into              depreciations were consumed by similarly high
   Sudan was high during the oil economy, but              inflation rates, and, as a result the overvalued real
   focused on the natural resource sector. Going           exchange rate of the past is much a thing of the pres-
   forward, a new kind of FDI—that brings in               ent. But a more competitive exchange rate would be
   technology and know-how for a diversified               instrumental for boosting agriculture exports, which
   economy—is needed.                                      are currently largely unprocessed in nature. Chapter
 Export promotion and diversification: Driven            2 will analyze this in detail, preceded by empirical
   by oil discoveries Sudan’s exports-to-GDP ratio         evidence on the extents of structural transformation
   expanded significantly starting in 2000 with oil        being visible in Sudan’s labor market.
   constituting around 90 percent of exports at
   that time. The challenge ahead will be to find             Agriculture and livestock: important for
                                                           b. 
   new export sources and export markets, prob-               inclusive growth
   ably in agriculture, initially for raw materials,
   but then also for processed agricultural goods          Given that poverty in Sudan is deep and largely
   to pave the way for a higher value-added activi-        a rural phenomenon the agriculture sector is cru-
   ties in the future.                                     cial for efforts to reduce poverty. About one in two
 Financial sector development and openness:              Sudanese, close to 14 million people, lived in pov-
   A more open and accessible financial sector for         erty in 2009, each consuming less than the national
42     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     poverty line (consumption of the poor is about 65            Both products have shown a remarkable recovery,
     percent of the national poverty line). The incidence         which will be described in detail in Chapter 3. In
     of poverty in urban areas, particularly Khartoum, is         each case the Government had, in the past, insti-
     significantly lower than that of the rural areas. Rural      tuted monopolized marketing structures (monop-
     areas are more than two and half times as poor as            sonies) in the form of parastatal companies. As is
     the capital and almost twice as poor as the rest of          often the case with such companies, paying farmers
     the urban areas. While rural areas account for a             less and less for their products (independent of the
     little over 60 percent of the Sudanese population,           world price) seems an easy path to profitability, until
     they account for almost for 80 percent of Sudan’s            the farmers stop harvesting or even planting their
     poor. For the rural population, any poverty reduc-           crops. That this happened can be seen in low yields
     tion strategy needs to build on agricultural growth,         in both gum arabic and cotton, as well as many
     while at the same time looking into the creation of          other agriculture products. As the monopsonies
     off-farm employment opportunities there.                     were eventually relaxed and competition provided,
          In addition, agriculture in Sudan is by-and-            prices received by farmers increased substantially,
     large a story of low productivity, which indicates           and with them so did areas cropped and especially
     the potential to realize quick wins. Chapter 3 will          yields. Cotton yields tripled nation nationwide in
     show that low crop yields are associated with low            one year (2010/11), and in three years increased
     fertilizer usage in the country. In 2009 the average         by five and a half times, with no improvements in
     fertilizer use per hectare of cropland was 7.3 kg,           irrigation or varieties. Such remarkable increases
     which ranked Sudan at 129 among 155 countries,               in agricultural yields show that poor agriculture
     far behind Ethiopia, Sudan’s poorer neighbor. To             performance is not only a product of low fertilizer
     illustrate, sorghum and millet yields are low and            usage or weak varieties due to often local breeds of
     generally on a downward trend, yet more so in the            seeds, but also, and possibly most importantly, a
     rain-fed production areas than in irrigated regimes,         lack of incentives for the producers.
     where yields are more stable or slightly increased over           Livestock production and exports are a
     the past decade. Wheat, of which the government              remarkable success story of agriculture in post-
     encourages production even though it is not a crop           secession Sudan. Livestock showed a fantastic
     native to Sudan, has yields that are among the lowest        recovery after virtually no exports in 2008 due to an
     in the world, if not the lowest. Similar developments        imposed export ban and quarantine measures, and
     are seen in the main oil seeds, groundnut and sesame.        which grew to a multi-million business and earned
     Two notable exceptions to the decreasing production          more than US$670 million in 2013. The backbone
     and yield trends are gum arabic and cotton, which            of this success is pastoral livestock production,
     currently realize a renaissance of production over           which is superior to any other form in Sudan. But
     the past years with particularly strong production in        pastoralism is under pressure due to uncertain land
     2013. Low yields in Sudan indicate that by adjust-           tenure and land rights that effectively diminish the
     ing key levers in agriculture in Sudan there could be        historical grazing grounds of pastoral farmers.
     potential to quickly realize large productivity gains.            Given the unique performance of the livestock
          Low productivity is not only related to input           sector in Sudan and the fact that pastoralism is
     usage, but also distortive centralized market-               so successful, there is surprisingly little policy
     ing and distribution arrangements that eroded                attention on the sector. More attention on the sec-
     producer incentives. This is now starting to                 tor will be important in part due to the interlinked
     change, and the experiences of gum arabic and                issues of land tenure and land policy, which need to
     cotton could pave the way for more such reforms.             be solved to sustain pastoral livestock production into
                                                             What kind of growth and diversification suits Sudan?     43




the future. But there are also other issues, such as the   to enhance productivity and increase technology
inherent volatility of the sector and the risk due to      and skills transfers through significant positive
droughts and diseases and the negative affects they        spillover effects throughout the economy. Services
entail. Hence there is a need for more policy focus        sectors can help Sudan diversify its economy and
on a better, forward-looking management of the sec-        reduce poverty. For example, while the agricultural
tor. Chapter 3 will provide an in-depth analysis of        sector is viewed as an important engine of growth, it
livestock to inform such a new policy focus.               has remained far below its potential and the country
                                                           has stayed a net importer of agricultural products.
c. 
   Goods and services trade to build                       The productivity of farms will have to improve to
   endowments                                              increase agriculture production. That means better
                                                           transport infrastructure, agricultural technology,
To support growth and diversification in the               and support services including financing.
longer-term, trade can be used as a vehicle to
build a broader endowment base in the Sudanese                Extractive industries: still important, but
                                                           d. 
economy. World Bank (2014) argues that global                 less dominant
and regional integration are key to leverage trade
effects for a country. Trade will not only build on a      The natural resource sector is still significant in
broader endowment base, which would both change            Sudan and recently had new impetus from the
the composition of trade and the profile of produc-        discovery of gold, but it is likely to be temporary.
tion World Bank (2014d), but trade can also be used        Lessons from other countries show that growth in
as driver to build endowments through its network          the natural resource sectors is not necessarily “pro-
effects and the ability to connect the Sudanese            poor” due to if there are insufficient spillovers to the
economy with the world. Chapter 4 provides an              rest of the economy. The sector, however, could pos-
analysis of goods and services trade.                      sibly provide—through its power to generate fiscal
    Advancing trade also means to putting due              revenues—financial means to advance policies for
emphasis on the necessary groundwork for                   “pro-poor” growth in other sectors. Chapter 5 pro-
higher value added activities through manu-                vides an in-depth analysis of the extractive sector.
facturing. Such groundwork will be especially                   The diminishing effects of both oil and
important so that the rural population, as it devel-       gold on Sudan over the next 10 to 15 years are
ops through improved agriculture productivity,             obvious. Yet, revenues are still important and a
has an opportunity to move to the non-agriculture          source for financing capital-intensive diversifica-
sector. Currently Sudan is primarily exporting             tion activities. Examining oil projections to 2030
raw agriculture materials and livestock. Through           shows that the level will decrease over the next one
a process of basic value addition on agriculture           or two decades; this finding is important especially
products (for example such as machine flaying of           as the base case considered in this analysis applies
animal skins) existing exports can be increased in         oil projections that are significantly lower than the
value and basic structures for light manufacturing         Government’s own projections). In either case, it
can be established. However, the current imposition        seems inevitable that oil production will decrease
of sanctions on Sudan plays a constraining role for        to below 100,000 bpd, but the question is whether
export diversification (see also Section 1.C).             this will happen now or in three, five, or ten years.
    Services and trade-in-services have an impor-          Hence, direct domestic oil-related revenues will
tant role in economic diversification. Services are        likely be around 10 percent of total revenues, and
essential intermediate inputs and have the potential       if fees and TFA are included around 20–30 percent.
44     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     These could be used to finance capital-intensive                  The contribution of mining to Sudan’s econ-
     diversification activities such as investment in edu-        omy over the medium term could be positive,
     cation and building of infrastructure.                       however, the scale of the sector is very unlikely
         The outlook for gold is slightly more opti-              to rival that of the oil sector in its heyday and its
     mistic, and Sudan is projected to produce                    fiscal impact may be substantially lower. These
     between 18 to 28 tons annually over the next                 considerations will be elaborated on in Chapter 5.
     five years—worth about US$750 million to                     There are numerous scenarios that could unfold
     US$1,130 million annually. But the fiscal contri-            regarding gold mining in Sudan, including much
     bution of gold mining is minimal. The traditional            less positive ones, in which a lower gold price envi-
     sector will continue to be the source of most gold           ronment coupled with continuing constraints on
     produced in this period, although the ability to sus-        financing of major mineral projects means that the
     tain this contribution beyond this five-year period is       recent gold mining boom will wane. Any sustained
     increasingly doubtful. A more likely pattern is that         program of reforms to make the industrial mining
     industrial mining will become the main source of             sector more competitive and to strengthen regula-
     domestic mined gold after 2020. It is unlikely that          tory institutions would require strong leadership
     production after 2020 would be significantly higher          and probably external support to enhance institu-
     than 18 to 28 tones estimates for the next 5 years.          tional capability and effectiveness.
                       STRUCTURAL CHANGE AND
            THE ROLE OF THE REAL EXCHANGE RATE
                      FOR EXPORTS AND GROWTH

   Successful economic development has typically been accompanied by structural transformation in which
   manufacturing and industry’s share of output and employment rises at the expense of agriculture. At pres-
   ent, however, the agriculture and services sectors account for the vast majority of employment in Sudan,
                                                                                                             2
   with manufacturing providing an almost negligible number of jobs.

   A more competitive real exchange rate could support export and output growth and hence help attract
   much-needed FDI. Sudan’s real exchange rate is overvalued, which is similar to other African oil exporting
   countries, most of which experience Dutch disease symptoms. Empirical evidence presented here sug-
   gests that a 10 percent lower real exchange rate (RER) could raise economic growth by 0.9 percentage
   points in Sudan. Given that Sudan’s exports of non-natural resource and agriculture products comprise
   mainly low-value, raw, and unprocessed products, which compete primarily on prices, the historic and
   current RER overvaluation was and is a major inhibiting factor for export development in the country.

   A major determinant of the RER is the level of inflation. And since 1999 inflation in Sudan has a history of
   high rates and increased volatility. But inflation became also a key symptom of the post-secession economy
   with rates above 40 percent in 2012 and 2013. A major driver of the upsurge was the approach to mon-
   etize the budget deficit by the Central Bank of Sudan through granting direct loans to the government.




A. Structural Change: Evidence from                                    Illustration of Structural Change
                                                           FIGURE 2.1: 
the Labor Market                                                                  in an Economy

Structural change in Sudan                                                 Low                                             High
                                                              Goal




                                                                        productivity       Structural Change            productivity
                                                                         activities                                     activitiesy
Structural change shifts economic activities
and employment from low to high productivity                              Traditional                 Non-Traditional
                                                              Process




activities. Figure 2.1 illustrates the process and                      Agriculture →        Agriculture →
                                                                                                                   Within sectors
                                                                                                                   Firm → Firm
distinguishes a traditional and a non-traditional                       Manufacturing          Services         Informal → Formal
definition of structural change. In the traditional                     East Asian Model
                                                                                           India, Bangladesh,
                                                              Example




definition of structural change manufacturing and                        (Korea, China,
                                                                                              Mozambique,         Most countries
                                                                          Hong Kong,
industry’s share of output and employment rises                                                 Rwanda
                                                                           Vietnam)
at the expense of agriculture. This is the type of         Source: World Bank staff own visualitzation, based on McMillian et al.
development model often associated with East Asia          (2014); Zeufack et al. (2015); and Ghani & O’Connell (2014).
46      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     where there was a strong rise in manufacturing sec-                                        lack of structural transformation in Sudan from the
     tor shares in the economies of China, Korea and                                            perspective of the labor market.
     Vietnam, to name a few. The non-traditional view
     of structural change increasingly also acknowledges                                        Demographics and education
     the role of the services sector for structural trans-
     formation and productivity increases within sectors                                        Sudan has a very young, relatively rural popula-
     and within firms. Given Sudan’s early days in struc-                                       tion, with a low level of education attainment.
     tural transformation, and the illustrative character                                       Table 2.1 shows a simple breakdown of the Sudanese
     of the traditional definition of structural change,                                        population by gender and rural/urban location.
     the focus in this chapter is primarily on the (lack                                        The total population of 29.2 million is largely rural
     of) shift from agriculture to manufacturing activities                                     (64.3 percent) and approximately gender-balanced
     in the economy.                                                                            (49.3 percent female). Rural areas are considerably
          But Sudan still stands at the beginning                                               younger on average than urban areas: 49 percent of
     of structural transformation, while others                                                 the urban population is younger than 20 compared
     advanced. Looking at the sector decomposition of                                           to 55.7 percent of the rural population. The gender
     GDP, Figures 2.2.1 and 2.2.2 show Sudan’s situa-                                           ratio also differs across cohorts: women constitute
     tion in 1980 and 2013. With the exception of a rise                                        48.4 percent of the population younger than 20
     in industry that is related to the oil economy and                                         and 50.4 percent of the population aged 20 or older
     extractives, the sector shares are rather constant                                         (Figures 2.3.1 and 2.3.2). This partly reflects the leg-
     in the period covered. This is in stark contrast to                                        acy of the civil war, which led to disproportionately
     Vietnam, where the importance of agriculture has                                           high male mortality, and may also be a reflection of
     decreased from 40 to 18 percent both on account of                                         male migrant workers to the Gulf states.
     rising shares for services and industry (incl. manu-                                           The age distribution of the population leads
     facturing). Kenya’s structural transformation over                                         to a dependency ratio that is very high by global
     the same period was less pronounced, and driven                                            standards but comparable to some other African
     primarily by the services sector. The remainder of                                         countries. The dependency ratio is the ratio of
     this section will provide further evidence of the                                          young and elderly to working-age people. The exact



     FIGURE 2.2: Structural Change through Sector Decomposition of GDP
                                  1) Sudan from 1980 to 2013                                                       2) Sudan and selected other countries
     100%                                                                                          100%
      90%                                                                                           90%
      80%                                                                                           80%
      70%                                                                                           70%
      60%                                                                                           60%
      50%                                                                                           50%
      40%                                                                                           40%
      30%                                                                                           30%
      20%                                                                                           20%
      10%                                                                                           10%
       0%                                                                                            0%
                                                                                                          Sudan       Sudan    Kenya   Kenya Vietnam Vietnam
          1980

                 1983

                        1986

                                1989

                                        1992

                                               1995

                                                      1998

                                                             2001

                                                                    2004

                                                                           2007

                                                                                  2010

                                                                                         2013




                                                                                                          (1990) (2013) (1980)         (2013) (1980) (2013)
                  Agriculture          Industry       Manufacturing          Services                       Agriculture     Industry   Manufacturing Services

     Source: World Bank staff own calculations, based on data from World Development Indicators (2015).
     Note: (2)Industry’s rise in Sudan (2013) is associated to extractives and not indicative of structural change.
                                             Structural change and the role of the real exchange rate for exports and growth                       47




Table 2.1: Age Composition of the                                       Table 2.2: Dependency Ratios in Sudan
            Population in Sudan                                               Working age group           Rural        Urban          Both
                       Total             Rural            Urban                   10–59 years              0.61          0.47          0.56
 Total               29,154,357       18,775,152        10,379,205                10–65 years              0.56          0.43          0.51
 Female              14,380,529         9,302,234        5,078,295                15–59 years              1.04          0.78          0.94
 Male                14,773,828         9,472,918        5,300,909                15–64 years              0.96          0.72          0.87
Source: World Bank staff own calculations, based on data from National            20–59 years              1.61          1.23          1.46
Benchmark Household Survey (2009).
                                                                                  20–64 years              148           1.13          1.34
Note: Calculated using NBHS household weights.
                                                                         Source: World Bank staff own calculations, based on data from National
                                                                         Benchmark Household Survey (2009).
                                                                         Note: Calculated using NBHS household weights.
value depends on the definition of “working age”
and Table 2.2 shows dependency ratios for several
possible definitions. Using a standard definition of                     substantially higher levels of education: one in ten
working age, there are approximately six people                          has some post-secondary education and a further
aged 15–64 for every five people aged younger                            one in three has some secondary education.21 The
than 15 or older than 64. An alternative defini-                         gender gap in education is smaller in young cohorts
tion includes youths aged 10–14 in the potentially                       than older cohorts but this is driven almost entirely
working-age population (see following paragraphs),                       by urban areas. In rural areas, the gender gap in
in which case there are approximately two working-                       education is approximately stable over cohorts and
age people for each young or elderly person. The                         may in fact be widening slightly. Secondary school
dependency ratio is consistently considerably higher                     access appears to have increased more for younger
in rural than urban areas, reflecting the relatively                     men than younger women (relative to older men
young rural population.19                                                and older women respectively).
    Half of the population in Sudan has never
attended a formal school and only a tiny portion                         Employment and labor force participation
has some post-secondary education. Only 15.8
percent of the population has at most secondary                          Sudan’s labor force participation rate is relatively
school education, and only 3.8 percent have some                         high and formal unemployment is moderate.
post-secondary education shows the distribution of                       Figure 2.4.1 shows the labor force status for all indi-
education attainment for the Sudanese population.20                      viduals aged 10 or older, the youngest age at which
Education levels are substantially lower in rural than                   the NBHS work module is administered. Across
urban areas and substantially lower for women than                       the entire population, 36 percent are employed
men. The gender gap in schooling is slightly smaller
in urban than rural areas.
    Older parts of the population have lower edu-                        19
                                                                            This comparison should be interpreted with some degree of cau-
                                                                         tion, as rural areas may face a much lower effective dependency ratio
cation than younger parts and the gender gap in                          if households are supported by remittances from urban migrants.
education is smaller in younger cohorts than in                          20
                                                                            This report omits Islamic khalwa schooling from the analysis, which
                                                                         cannot be easily classified into a conventional primary, secondary,
older ones. Figure 2.3.4 shows the percentage of                         tertiary division. Approximately 2 percent of the population report
the population with each level of education attain-                      attending khalwa schools and this fraction is higher for men, in rural
                                                                         areas, and for older cohorts.
ment for five-year age brackets. Older cohorts have                      21
                                                                            This cohort difference in years of completed education reflects ris-
substantially lower education attainment: fewer than                     ing education enrollment and spending through time, documented
                                                                         in World Bank (2012). Despite the recent rise in education spend-
30 percent of individuals aged 60 or older have                          ing, Sudan still spends a substantially smaller fraction of its GDP on
any formal schooling. Individuals aged 20–29 have                        education than most North African countries.
48      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 2.3: Demographics and Education in Sudan
                         1) Rural population pyramid (female on left-hand)                                                            2) Urban population pyramid (female on left-hand)

       75+                                                                                                           75+
     70–74                                                                                                         70–74
     65–69                                                                                                         65–69
     60–64                                                                                                         60–64
     55–59                                                                                                         55–59
     50–54                                                                                                         50–54
     45–49                                                                                                         45–49
     40–44                                                                                                         40–44
     35–39                                                                                                         35–39
     30–34                                                                                                         30–34
     25–29                                                                                                         25–29
     20–24                                                                                                         20–24
     15–19                                                                                                         15–19
     10–14                                                                                                         10–14
       5–9                                                                                                           5–9
       0–4                                                                                                           0–4
           2,000,000


                       1,500,000


                                       1,000,000


                                                   500,000


                                                             0


                                                                   500,000


                                                                             1,000,000


                                                                                          1,500,000


                                                                                                      2,000,000




                                                                                                                         800,000


                                                                                                                                      600,000


                                                                                                                                                400,000


                                                                                                                                                             200,000


                                                                                                                                                                           0


                                                                                                                                                                                       200,000


                                                                                                                                                                                                     400,000


                                                                                                                                                                                                                600,000


                                                                                                                                                                                                                          800,000
                                   3) Education levels by gender and location                                                                           4) Education levels by cohort
     10,000,000                                                                                                      100%
      9,000,000
      8,000,000                                                                                                         80%
      7,000,000
      6,000,000                                                                                                         60%
      5,000,000
      4,000,000                                                                                                         40%
      3,000,000
      2,000,000                                                                                                         20%
      1,000,000
              0                                                                                                         0%
                               Rural               Urban          Rural              Urban
                                                                                                                              20–24

                                                                                                                                        25–29

                                                                                                                                                30–34

                                                                                                                                                           35–39

                                                                                                                                                                       40–44

                                                                                                                                                                               45–49

                                                                                                                                                                                             50–54

                                                                                                                                                                                                        55–59

                                                                                                                                                                                                                60–64

                                                                                                                                                                                                                          65+
                               men                  men          women               women

                                                             No education            At most primary              At most secondary             Post-secondary

     Source: World Bank staff own calculations, based on data from National Benchmark Household Survey (2009).




     and 6 percent are unemployed.22 Of the remaining                                                              this as work. Figure 2.4.7 shows employment and
     58 percent of the population, approximately half                                                              labor force participation for five-year age cohorts.23
     report attending school and the other half are clas-                                                          Non-participation for females rises sharply across
     sified as neither studying nor participating in the
     labor force. Both unemployment and labor force                                                                22
                                                                                                                      Respondents are defined as employed if (1) they worked at least
                                                                                                                   one hour in the past week for pay, profit-share, in-kind payment,
     non-participation are higher in rural than urban                                                              or without pay; or (2) they did not work in the past week but have
     areas. Non-participation is far higher for women                                                              some form of job in which they normally work. This definition of
                                                                                                                   employment is quite inclusive. A substantial fraction of respondents,
     than men, a pattern discussed in more detail below.                                                           particularly women, are classified as working under this definition
          While both wage work and self-employment                                                                 but are not paid. Respondents are defined as unemployed if they are
                                                                                                                   not currently working but report that they are available for work.
     are common, labor force non-participation is far                                                              23
                                                                                                                      The remainder of the analysis focuses on individuals aged 10–64.
     higher for women than men. Many women are                                                                     Sudanese life expectancy is only 61 and labor force participation is low
                                                                                                                   for older individuals, so omitting the older tail of the distribution has
     engaged in home production and there appears                                                                  little effect on the analysis. Respondents aged younger than 10 are not
     to be some variance in whether they self-report                                                               asked questions about work and so must be omitted from the analysis.
                                 Structural change and the role of the real exchange rate for exports and growth                     49




cohorts. This pattern may reflect a life-cycle expla-      Sudan. Almost 750,000 working-age respondents
nation in which many women complete education              are not employed, not studying, and report that they
and do not transition into the formal labor force.         perceive job search as useless. This accounts for a
It may also reflect a cohort explanation in which          large majority of non-participation by men and by
younger women are obtaining more education                 women who are not homemakers. The pattern is
than their predecessors and will go on to enter the        visible for both men and women and in both rural
labor force. These explanations cannot be separately       and urban areas. Discouragement is concentrated
tested until additional waves of household survey          amongst respondents below median age, in line
data become available. The same pattern is not vis-        with a global phenomenon of falling youth labor
ible for men, most of whom are either in schooling         market engagement.
or in the labor force. Younger men are slightly more           The majority of men in both rural and
likely than older men to be neither studying nor in        urban areas are paid employees or own account
the labor force                                            workers, while this is not the case for women.
     Child labor is not uncommon in Sudan but              Figures 2.4.4 and 2.4.5 show the type of employ-
most working children are concurrently enrolled            ment for different population groups. A relatively
so this does not represent completely foregone             small fraction are employers and most of these are
educational opportunities. One in ten youths               in older cohorts.24 Unpaid employment within the
aged 10–16 is employed and another one in thirty           household is relatively common in rural areas and
is available to work but not currently working. The        concentrated in the agricultural sector. The pattern
rate of child employment is considerably higher            is very different for women. Unpaid work within
in rural than urban areas (13.5 and 4.3 percent,           the family is the most common type of employment
respectively) and slightly higher for men than             in rural areas, particularly for younger women.
women (12.9 and 7.7 percent, respectively). The            Own account workers are slightly more common
gender gap may, however, be considerably smaller if        than paid employees and very few women are
female youths are engaged in time-consuming home           employers.25
production but do not report this as work. Most                The regularity of employment differs across
working children are concurrently enrolled (67.8           gender and location. 12.4 percent of workers
percent), so much of this child labor does not repre-      report working less than five days in the past week,
sent completely foregone educational opportunities.        but this is higher for women than men (11.6 and
     The overwhelming majority of women that               16.7 percent, respectively) and in rural than urban
are labor force non-participating report that they         areas (15.3 and 8.2 percent, respectively). This is
are full-time homemakers or housewives, which              a crude measure of underemployment but sug-
is not an uncommon reporting Figures 2.4.2 and             gests that the extensive margin employment data
2.4.3 show the reasons given for not participating in
the labor force by respondents who are not studying.       24
                                                              The NBHS survey defines an employer as anyone whose main em-
                                                           ployment status is operating their own business, profession or trade
Reporting by women reflects a common phenom-               and who employs at least one employee, who presumably need not
enon in which formal labor force participation rates       work for them fulltime. This differs from an own account worker who
                                                           does not employ anyone.
substantially understate female economic activity          25
                                                              The employment analysis by gender suggests a complex picture of
because they do not measure home production.               female labor force participation and home production. More than 4
                                                           million women report that they did not work because they are fulltime
     But there is a high number of discouraged             homemakers or housewives, while another 700,000 report that they
job seekers that show labor force non-partici-             worked without pay in the family. This may reflect heterogeneity in
                                                           respondents’ understanding of work. But it is also important to realize
pation. This pool of untapped potential workers            these dimensions to try to understand whether non-participating women
represents both a challenge and opportunity for            do or do not represent a pool of potential workers outside the home.
50      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 2.4: Employment and Labor Force Participation in Sudan
                        1) Employment and labor force participation                                       2) Reasons for labor force non-participation
                                 by gender and location                                                            by female non-students
     7,000,000                                                                       1,800,000
     6,000,000                                                                       1,600,000
                                                                                     1,400,000
     5,000,000
                                                                                     1,200,000
     4,000,000                                                                       1,000,000
     3,000,000                                                                         800,000
                                                                                       600,000
     2,000,000
                                                                                       400,000
     1,000,000                                                                         200,000
                0                                                                            0
                     Rural men      Urban men    Rural men     Urban men                              Young            Young                Older         Older
                                                                                                   rural women      urban women         rural women   urban women
                                  Employed      Unemployed                                                Discouraged job seekers       Other income source
                           Studying     Not studying or in labor force                                Retired / too old    Disabled / too sick     Homemaker

                        3) Reasons for labor force non-participation
                                  by male non-students                                                            4) Type of female employment
     350,000                                                                           900,000
     300,000                                                                           800,000
                                                                                       700,000
     250,000
                                                                                       600,000
     200,000                                                                           500,000
     150,000                                                                           400,000
                                                                                       300,000
     100,000
                                                                                       200,000
      50,000                                                                           100,000
            0                                                                                0
                      Young          Young         Older          Older                              Young            Young             Older             Older
                    rural men      urban men     rural men     urban men                          rural women      urban women      rural women       urban women
                        Discouraged job seekers       Other income source                              Paid employee       Employer     Own account worker
                    Retired / too old    Disabled / too sick     Homemaker                                 Unpaid within family     Unpaid outside family

                                 5) Type of male employment                                                          6) Employment by sector
     2,000,000                                                                         350,000
     1,800,000
                                                                                       300,000
     1,600,000
     1,400,000                                                                         250,000
     1,200,000                                                                         200,000
     1,000,000
       800,000                                                                         150,000
       600,000                                                                         100,000
       400,000
                                                                                        50,000
       200,000
             0                                                                                0
                       Young         Young         Older          Older                             Rural men        Urban men      Rural women Urban women
                     rural men     urban men     rural men     urban men
                     Paid employee       Employer     Own account worker                                        Agriculture & Foresty       Other industry
                         Unpaid within family     Unpaid outside family                                         Manufacturing               Services

     Source: World Bank staff own calculations, based on data from National Benchmark Household Survey (2009).
     Notes: (6) Sector classifications are based on the jobs held by survey respondents, rather than the sector in which their employer is located. This measures
     the distribution of workers across sectors rather than the distribution of firms across sectors.
                                                                                                                                      (continued on next page)
                                                             Structural change and the role of the real exchange rate for exports and growth                                                     51




FIGURE 2.4: Employment and Labor Force Participation in Sudan (continued)
                                                                 7) Employment and labor force participation by cohort
                                       A: Rural men                                                                                       B: Urban Men
100%                                                                                                 100%

 80%                                                                                                 80%

 60%                                                                                                 60%

 40%                                                                                                 40%

 20%                                                                                                 20%

  0%                                                                                                  0%
     10–14

             15–19

                     20–24

                             25–29

                                     30–34

                                             35–39

                                                     40–44

                                                              45–49

                                                                      50–54

                                                                              55–59

                                                                                      60–64




                                                                                                         10–14

                                                                                                                 15–19

                                                                                                                         20–24

                                                                                                                                 25–29

                                                                                                                                         30–34

                                                                                                                                                 35–39

                                                                                                                                                         40–44

                                                                                                                                                                 45–49

                                                                                                                                                                         50–54

                                                                                                                                                                                 55–59

                                                                                                                                                                                         60–64
                                     A: Rural Women                                                                                      B: Urban Women
100%                                                                                                 100%

 80%                                                                                                 80%

 60%                                                                                                 60%

 40%                                                                                                 40%

 20%                                                                                                 20%

  0%                                                                                                  0%
     10–14

             15–19

                     20–24

                             25–29

                                     30–34

                                             35–39

                                                     40–44

                                                              45–49

                                                                      50–54

                                                                              55–59

                                                                                      60–64




                                                                                                         10–14

                                                                                                                 15–19

                                                                                                                         20–24

                                                                                                                                 25–29

                                                                                                                                         30–34

                                                                                                                                                 35–39

                                                                                                                                                         40–44

                                                                                                                                                                 45–49

                                                                                                                                                                         50–54

                                                                                                                                                                                 55–59

                                                                                                                                                                                         60–64
                                                             Employed          Unemployed     Studying       Not studying or in LF

Source: World Bank staff own calculations, based on data from National Benchmark Household Survey (2009).
                                                                                                                                                          (continued on next page)




discussed above may understate the total female-                                                significant. The education gap in labor force par-
male and rural-urban employment differences.26                                                  ticipation is considerably larger than the education
     In sum, and perhaps not surprisingly,                                                      gap in unemployment. These patterns are visible
employment and labor force participation differs                                                for men and women and in rural and urban areas.
by education level. Table 2.3 shows that respon-
dents with no education are least likely to participate                                         Employment by economic sectors
in the labor force and, conditional on participation,
are more likely to be unemployed. Respondents                                                   Employment is dominated by agriculture in
with post-secondary education are at the opposite                                               rural areas and by services in urban areas.
extreme, with the highest rates of participation and
lowest rates of employment. People with primary
and secondary education fall in between these                                                   26
                                                                                                  The comparison should be interpreted with particular caution be-
                                                                                                cause 34 percent of respondents report that they worked more than
two extremes but the differences between these                                                  seven days in the past week. This suggests that many respondents
two groups are not themselves large or statistically                                            misunderstood this question.
52      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 2.4: Employment and Labor Force Participation in Sudan (continued)
                                                                                     8) Employment by sector cohort
                                            A: Rural men                                                                                               B: Urban Men
     100%                                                                                                          100%

      80%                                                                                                          80%

      60%                                                                                                          60%

      40%                                                                                                          40%

      20%                                                                                                          20%

       0%                                                                                                           0%
          10–14

                  15–19

                          20–24

                                  25–29

                                          30–34

                                                  35–39

                                                          40–44

                                                                  45–49

                                                                           50–54

                                                                                   55–59

                                                                                           60–64




                                                                                                                      10–14

                                                                                                                              15–19

                                                                                                                                      20–24

                                                                                                                                              25–29

                                                                                                                                                      30–34

                                                                                                                                                              35–39

                                                                                                                                                                        40–44

                                                                                                                                                                                45–49

                                                                                                                                                                                        50–54

                                                                                                                                                                                                55–59

                                                                                                                                                                                                        60–64
                                          A: Rural Women                                                                                              B: Urban Women
     100%                                                                                                          100%

      80%                                                                                                          80%

      60%                                                                                                          60%

      40%                                                                                                          40%

      20%                                                                                                          20%

       0%                                                                                                           0%
          10–14

                  15–19

                          20–24

                                  25–29

                                          30–34

                                                  35–39

                                                          40–44

                                                                  45–49

                                                                           50–54

                                                                                   55–59

                                                                                           60–64




                                                                                                                      10–14

                                                                                                                              15–19

                                                                                                                                      20–24

                                                                                                                                              25–29

                                                                                                                                                      30–34

                                                                                                                                                              35–39

                                                                                                                                                                        40–44

                                                                                                                                                                                45–49

                                                                                                                                                                                        50–54

                                                                                                                                                                                                55–59

                                                                                                                                                                                                        60–64
                                                             Agriculture & Foresty                 Manufacturing      Other industry          Services

     Source: World Bank staff own calculations, based on data from National Benchmark Household Survey (2009).




                Education and Employment Status, Percent of Total
     Table 2.3: 
                                                                          Employed                                    Unemployed                                      Not in labor force
      No education                                                            41.2                                            50.9                                                7.9
      At most primary                                                         56.1                                            35.9                                                7.9
      At most secondary                                                       54.9                                            38.2                                                6.9
      Post-secondary                                                          63.4                                            25.5                                              11.0
     Source: World Bank staff own calculations, based on data from National Benchmark Household Survey (2009).
     Note: Calculated using NBHS household weights. Includes all respondents aged 10–64 years who are not currently enrolled in school. Excludes respon-
     dents with khalwa education.




     Figure 2.4.6 shows the breakdown of employ-                                                             34.3 and 51.7 percent of employment, respectively.
     ment across sectors for men and women in rural                                                          Manufacturing provides only 1.8 percent of employ-
     and urban areas. Agriculture and services almost                                                        ment and other industries account for the remaining
     completely dominate employment, accounting for                                                          12.2 percent.
                                               Structural change and the role of the real exchange rate for exports and growth                                53




     Employment patterns differ significantly                                     post-secondary education. Workers in the remain-
between rural and urban areas. In particular,                                     ing three sectors—manufacturing, non-manufactur-
agriculture accounts for 50 percent of rural employ-                              ing industry, and services—have relatively similar
ment and 5.5 percent of urban employment. Services                                levels of education.
account for most urban jobs (74.6 percent) but are                                     There is a substantial skill differential and
also important in rural areas (39.1 percent). Both                                gap across sectors, which are slightly decreas-
manufacturing and industry are more common in                                     ing in the younger population. The ratio of
urban areas (3.1 and 16.8 percent, respectively) but                              workers with secondary or post-secondary edu-
still present in rural areas (1.1 and 9.8 percent,                                cation to workers with no or primary education
respectively). Overall, however, manufacturing and                                is highest in manufacturing (0.94), followed by
mining account for extremely small shares of employ-                              services (0.96) and non-manufacturing industry
ment in both young and old cohorts (Figure 2.4.8).                                (0.73), with agriculture scoring far lower (0.12).
     Prime-age cohorts are more likely to work                                    This has clear implications for economic trans-
in services and industry than younger and older                                   formation. Raising employment in the manufac-
cohorts. There is limited evidence that employment                                turing and non-manufacturing industry sectors
sectors vary by cohort. The only clear pattern is that                            is likely to require substantial increases in aggre-
prime-age cohorts are more likely to work in services                             gate education levels. While education levels
and, to a much lesser extent, industry than younger                               are indeed higher in younger than older cohorts
and older cohorts. There is no trend toward greater                               (Figure 2.4.7) but this is not (yet) reflected in
employment in manufacturing or industry amongst                                   higher youth employment in industry and manu-
younger cohorts, which is sometimes an indica-                                    facturing (Figure 2.4.8).
tion of an economy’s movement toward structural
transformation. But there is no evidence for such a                               Labor productivity and wages across
demographic structural change happening.                                          sectors
     The sector that employs most people in
the economy—agriculture—is also the sector                                        Both productivity and wages differ sharply
that employs most people without education.                                       across sectors: Workers in the agricultural sec-
Table 2.4 shows the distribution of education levels                              tor have low productivity and earn low wages;
across sectors. Agriculture is a clear low-education                              workers in manufacturing and industry have
outlier. Almost two in three workers in this sector                               high productivity and earn high wages; workers
have no education and less than one in fifty has                                  in services have low productivity and earn high


Table 2.4: Education Breakdown of Employment by Economic Sector, Percent of Total
                                           No education                At most primary             At most secondary               Post-secondary
 Agriculture                                      64.1                          25.0                          9.6                           1.3
 Manufacturing                                    30.2                          21.5                         36.3                          12.1
 Industry (non-manufacturing)                     23.9                          33.9                         33.1                           9.1
 Services                                         29.6                          27.3                         30.0                          13.2
Source: World Bank staff own calculations, based on data from National Benchmark Household Survey (2009).
Notes: Calculated using NBHS household-level weights representative at the state level. Includes all respondents aged 10–64 years who report working
recently or having a job. Sectors are based on “main activity of work [during] the last 7 days.” Excludes respondents with missing values for work activity
and hence sector of employment (1.6 percent) or highest level of education (1.8 percent). Non-manufacturing industry includes: mining, electricity, water,
construction, transport, and communications.
54      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     Table 2.5: Annual Value-Added (VA) Per Worker by Sector (US$)
                                                                 2009                                2010                                2012
                                                        VA              Labor                VA             Labor               VA              Labor
                              Employment             (US$ mn)        productivity         (US$ mn)       productivity        (US$ mn)        productivity
      Agriculture                 3,114,411             8,473             2,721              8,374             2,689           12,343              3,963
      Manufacturing                 931,005             8,307             8,923              8,486             9,115             8,107             8,708
      Industry                      132,440             2,241            16,921              2,643            19,956             2,711            20,470
      (non-manufacturing)
      Services                    3,949,954            14,668             3,713            15,374              3,892             7,242             1,833
     Source: World Bank staff own calculations, based on data from National Benchmark Household Survey (2009); and World Development Development
     Indicators (WDI).
     Notes: Employment totals use household-level population weights representative at the state level. Employment totals are drawn from all respondents
     aged 10 or older at the time of the survey who reported a sector employment. Sectors are based on “main activity of work [during] the last 7 days”, which
     may differ from employer’s main activity. Value-added data for 2009 and 2010 include South Sudan, but exclude for 2012. Non-manufacturing industry
     includes: mining, electricity, water, construction, transport, and communications.



     wages.27 Table 2.5 reports labor productivity by                                higher 75th percentile. However, the difference is
     sector.28 Two patterns are clear. First, labor pro-                             small and not statistically significantly different
     ductivity is highest in manufacturing (>$16,000).                               from zero.
     This is consistent with nearly universal international                              Wages by sector have a direct implication for
     trends and highlights the importance of the manu-                               poverty rates by sector and a wage gender gap
     facturing sector in driving the upgrade of skills.                              is present in all sectors, but at varying degrees.
     Second, labor productivity in non-manufacturing                                 In the agricultural sector, 34.8 percent of workers
     industry (which includes mining, electricity, water,                            earn less than the monthly poverty line of SDG114.
     construction, transport, and communications) is                                 This rate drops to 15.3, 12.9, and 12.7 percent in
     somewhat lower than manufacturing but still con-                                the service, industry, and manufacturing sectors,
     siderably higher than either agriculture or services.                           respectively. Shifting employment away from agri-
     Hence, labor productivity is inversely proportional                             culture may thus play an important role in alle-
     to employment, with the most productive sectors                                 viating poverty, provided these wage differentials
     employing the fewest people. This is partly a natural
     consequence of higher capital-labor ratios in these
     sectors but also highlights the importance of grow-                             27
                                                                                        There are important data limitations in Sudan that may affect the
     ing these sectors.                                                              accuracy of this analysis, particularly the detailed productivity num-
                                                                                     bers. But reported trends should be unaffected and be a good guide
         Daily wages in agriculture are considerably                                 in the analysis. Limitations are that the employment data are drawn
     lower than in any other sector, while wages in                                  from a survey of Sudanese households in 2009 while the value-added
                                                                                     data for 2011 and earlier years aggregate Sudan and South Sudan. The
     industry, manufacturing, and services are rela-                                 table therefore reports productivity in 2009, which uses value-added
     tively similar. Table 2.6 reports summary mea-                                  data for the appropriate time period and incorrect region, and 2012,
                                                                                     which uses data for the appropriate region and incorrect time period.
     sures of the distribution of daily wages by industrial                          Productivity in 2010 is also reported as a mid-point measure. This
     sector. Agriculture is a clear outlier, with workers                            mismatch means that the total value-added in 2009 is generated by
                                                                                     Sudanese and South Sudanese workers, so the average labor productiv-
     earning considerably lower wages than in any other                              ity will be upward biased. Furthermore, employment in manufacturing
     sector. Wages in industry, manufacturing, and ser-                              in the survey is small (237 people, equal to 1.6 percent of the sample)
                                                                                     so results may also reflect some sampling error.
     vices are relatively similar to one another. There is                           28
                                                                                        Labor productivity is defined as the ratio of total value-added (from
     some evidence that wages may be more dispersed                                  the World Development Indicators) to total employment in each
                                                                                     sector. It provides a measure of the average worker’s contribution
     in manufacturing, with a lower 25th percentile and                              to total output.
                                               Structural change and the role of the real exchange rate for exports and growth                                55




Table 2.6: Distribution of Daily Wages by Industrial Sector (US$)
                                                  25th percentile          50th percentile          75th percentile          % missing wages
 Agriculture                                               3.2                         5.7                   10.0                       48.7%
 Manufacturing                                             6.8                        10.4                   17.5                        6.8%
 Industry (non-manufacturing)                              4.3                        10.0                   18.3                        7.0%
 Services                                                  5.7                        10.0                   15.5                       10.2%
Source: World Bank staff own calculations, based on data from National Benchmark Household Survey (2009).
Notes: Calculated using NBHS household-level weights representative at the state level. Includes all respondents aged 10–64 years who report working
recently or having a job. Sectors are based on “main activity of work [during] the last 7 days.” Excludes respondents with missing values for work activity
and hence sector of employment (6.9 percent) or highest level of education (1.8 percent). Weekly wages are missing for 25 percent of the sample, primar-
ily in the agriculture sector. Non-manufacturing industry includes: mining, electricity, water, construction, transport, and communications.




remain stable as employment composition shifts.                                  Overvaluation was as much as 65 percent in 2008,
However, sectoral shifts alone will alleviate neither                            during the heyday of the oil economy. The section
poverty-level earnings nor gender differentials in                               shows that an undervalued RER is associated with
earnings. For example, 35.1 percent of women earn                                higher real export and output growth, especially for
less than the monthly poverty line, compared to only                             developing countries today and developed countries
16.5 percent of men. This gender gap is present                                  in the earlier decades. Across all countries and time,
across all four sectors, though to varying degrees.29                            on average, for each additional 10 percent RER
     Comparing daily wages with the labor pro-                                   undervaluation, the country’s export growth goes
ductivity analysis shows that agriculture is lag-                                up by 0.6 percentage points and its output growth
ging behind, but also that the services sector                                   goes up by 0.88 percentage points a year.
offers scope for well-paid employment without                                         Empirical results are used to explore the
the capital intensity of manufacturing. On the one                               question of whether an undervalued exchange
hand, productivity is highest in manufacturing, fol-                             rate can help boost export and therefore also
lowed by non-manufacturing industry, agriculture,                                output growth. The issue needs to be addressed
and services. But wages are highest in non-manu-                                 from an empirical perspective since the theoretical
facturing industry, manufacturing, and services,                                 relationship between the real exchange rate and
and lowest in agriculture. Both measures point to                                exports/outputs is not clear-cut (Annex 4). The anal-
agriculture as the lagging sector (Tables 2.5 and                                ysis in this report utilizes a cross-country RER mis-
2.6) but they provide mixed evidence on the rela-                                alignment index. A country’s RER is defined as the
tionship between the other three sectors. Services                               relative price of the domestic consumption basket
lags industry and manufacturing on productivity                                  and the foreign consumption basket. The domestic
but not wages, which suggests that this sector offers                            consumption basket includes domestic non-tradable
scope for well-paid employment without the same                                  goods, domestic tradable goods, and some foreign
capital intensity.                                                               tradable goods; the foreign consumption basket

B. The Role of the Exchange Rate
                                                                                 29
                                                                                   The analysis of wage distributions has three caveats important
                                                                                 enough to be mentioned: First, the small number of survey respon-
This section utilizes a simple theory-based real                                 dents working in manufacturing means that the wage distribution
exchange rate (RER) Misalignment Index for                                       in this sector reflects substantial sampling error. Second, wages are
                                                                                 missing for a large fraction of the respondents. Third, there are some
countries around the world from 1950–2011, and                                   outliers who report extremely high daily wages, which motivates the
shows that Sudan’s RER has been overvalued.                                      focus on percentiles of the distribution instead of means.
56     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     includes foreign non-tradable goods, foreign trad-           may have slightly eased in the years 2012 and 2013
     able goods, and some domestic tradable goods.                where the nominal exchange rate devalued by
          The analysis uses a simple theory-based                 almost 100 percent (Figure 2.5.2). But the positive
     approach first developed by Rodrik (2008) to cal-            RER effects of this nominal depreciation, were also
     culate the RER misalignment. In his work, Rodrik             eaten up again by persistently high inflation rates
     has shown that undervalued real exchange rates are           of 35.1, 36.3 and 37.4 percent in 2012, 2013, and
     associated with higher output growth. Since the origi-       2014, respectively.
     nal work does not include export growth this report               The historical overvaluation is consistent
     will slightly modify Rodrik’s approach to measure            with the gaps observed between official nominal
     RER misalignment and will present evidence about             exchange rates and black market exchange rates
     the relationship between undervaluation and export           (Figure 2.5.2). If one was to consider the black
     growth. Annex 4 provides the details on how the              market exchange rate as a de facto market-driven
     study measures the RER misalignment index. The key           equilibrium value of the nominal exchange rate,
     is to establish the RER misalignment index through           the official nominal exchange rate was overvalued
     controlling for the Balassa-Samuelson effect. Balassa-       to the tune of 50 to 70 percent in 2010 and 2011.
     Samuelson captures the effect of an economy’s                Given data constraints, there is no measure of RER
     productivity on its non-tradable goods’ prices. The          Misalignment for Sudan after 2011. However, based
     empirical results show that the Balassa-Samuelson            on the gap between the official and the black market
     effect is highly significant with a negative sign.           rates, and given the historical relationship between
          There are other approaches to calculating               the two that reflects the RER Misalignment Index,
     RERs and to determine any undervaluation.                    it is likely that the extent of RER overvaluation
     Currently, the most popular one is to regress a              remained at a similar level for 2012 and 2014. Such
     country’s real exchange rate against a large set of the      an overvaluation pattern identified through the mis-
     country’s fundamentals to establish a real exchange          alignment index is consistent with other estimates.
     rate norm.30 The gap between a country’s actual              For instance, the IMF Article IV in 2014 estimated
     real exchange rate and its norm (i.e. the residual in        that the Sudan real exchange rate was about 40 per-
     the regression) is considered the “misaligned” part.         cent overvalued in 2014 (IMF 2014c).
     The most well-known research using this approach                  Sudan’s RER overvaluation is somewhat
     is from the IMF (Lee et al. 2006), which forms the           consistent with the experience of other African
     basis for the IMF’s work on assessing countries’ RER
     misalignment in its Article IV papers. This report
     does not rely on the methodology given the com-              30
                                                                     In the “kitchen sink” approach, researchers throw believed-to-be
     plexity of the approach and the difficulty to identify       fundamental variables to the right hand side of the regression—often
                                                                  without a clear theoretical rationale to why they are fundamental—and
     “fundamentals.” Instead, Rodrik’s amended meth-              hope to find some significance. There are two problems with this.
     odology is found to be more intuitive.                       First, there may be neglected fundamentals that also affect the real
                                                                  exchange rate, but are not included. Negligence may come from the
          Sudan’s RER has been greatly overvalued                 fact that it is virtually impossible to come up with an exhaustive list
     over most of the past 40 years. From 1970 to                 of factors affecting productivity and consumption and savings deci-
                                                                  sions. Second, variables considered “fundamentals” might actually
     the present, there were only two years when the              contain elements that distort the real exchange rate. For example,
     RER was undervalued (Figure 2.5.1). For the rest             government consumption is considered a “fundamental.” However,
                                                                  government consumption could be directly affected by an incentive
     of years, the RER is greatly overvalued, as much as          to lower the real exchange rate. Eden and Nguyen (2012) offer more
     65 percent in 2008. In 2010 and 2011 the over-               detailed criticism of the current approaches.
                                                                  31
                                                                     The data underlying the RER Misalignment Index—Penn World
     valuation lessened to 50 percent and 40 percent,             Table 8.0—does not have RER data for 2012 and 2013 at the time
     still very significant numbers.31 The overvaluation          of this analysis.
                                                                      Structural change and the role of the real exchange rate for exports and growth                                                                                        57




FIGURE 2.5: Sudan’s RER Misalignment in Perspective of other African Oil Exporting Countries
                                   1) Sudan‘s RER misalignment                                                              2) Sudan's Official and Market Exchange Rate (SDG/US$)
 0.2                                                                                                          10
 0.1
   0                                                                                                           8
–0.1
–0.2                                                                                                           6
–0.3
–0.4                                                                                                           4
–0.5
–0.6                                                                                                           2
–0.7
–0.8                                                                                                           0
    1970             1976      1982          1988          1994         2000          2006




                                                                                                                   Jan-09
                                                                                                                             Jul-09
                                                                                                                                      Jan-10
                                                                                                                                                Jul-10
                                                                                                                                                           Jan-11
                                                                                                                                                                    Jul-11
                                                                                                                                                                             Jan-12
                                                                                                                                                                                       Jul-12
                                                                                                                                                                                                 Jan-13
                                                                                                                                                                                                          Jul-13
                                                                                                                                                                                                                   Jan-14
                                                                                                                                                                                                                             Jul-14
                                                 Misalignment                                                                         Official Exchange Rate                                     Market Exchange Rate

                                                  3) Nigeria                                                                                                           4) Angola
 1.5                                                                                                         1.0
 1.2                                                                                                         0.8
 0.9
 0.6                                                                                                         0.6
 0.3                                                                                                         0.4
   0                                                                                                         0.2
–0.3                                                                                                           0
–0.6
–0.9                                                                                                        –0.2
–1.2                                                                                                        –0.4
–1.5                                                                                                        –0.6
–1.8
–2.1                                                                                                        –0.8
–2.4                                                                                                        –1.0
    1962 1967 1972 1977 1982 1987 1992 1997 2002 2007                                                           1970 1975 1980 1985 1990 1995 2000 2005 2010
                                                                                           Misalignment    Export growth

                                                   5) Congo                                                                                                             6) Gabon
 0.8                                                                                                         1.0
 0.6                                                                                                         0.8
 0.4                                                                                                         0.6
 0.2                                                                                                         0.4
   0
                                                                                                             0.2
–0.2
                                                                                                               0
–0.4
–0.6                                                                                                        –0.2
–0.8                                                                                                        –0.4
–1.0                                                                                                        –0.6
–1.2                                                                                                        –0.8
       1962
              1966
                     1970
                            1974
                                   1978
                                          1987
                                                 1982
                                                        1986
                                                               1990
                                                                      1994
                                                                             1998
                                                                                    2002
                                                                                            2006
                                                                                                   2010




                                                                                                                    1962
                                                                                                                             1966
                                                                                                                                      1970
                                                                                                                                               1974
                                                                                                                                                         1978
                                                                                                                                                                1987
                                                                                                                                                                        1982
                                                                                                                                                                                1986
                                                                                                                                                                                         1990
                                                                                                                                                                                                  1994
                                                                                                                                                                                                          1998
                                                                                                                                                                                                                   2002
                                                                                                                                                                                                                            2006
                                                                                                                                                                                                                                      2010




                                                                                           Misalignment    Export growth

Source: World Bank staff own calculations, based on data from PENN World Tables; CBOS; and World Bank World Development Indicators (WDI).
Note: Undervaluation zone is above 0.




oil exporters. Figures 2.5.3 to 2.5.6 show that                                                           observed in Sudan. The range is from 30 percent
the magnitudes of overvaluation in other African                                                          in Nigeria to 90 percent in Congo. Overall, this is a
oil exporters are somewhat similar to the levels                                                          clear evidence of Dutch disease symptoms among
58     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     African oil exporters. But Sudan is not a huge crude         enough and its firms already operate at the tech-
     oil exporter anymore, and its RER management                 nological frontier, an undervalued RER might not
     needs to be compared to other, more diversified              matter anymore for the country’s export. Rather, at
     economies.                                                   the frontier the country’s firms need to rely on bet-
          Comparing Sudan to more diversified econ-               ter technology and innovation.
     omies, the RER overvaluation is in contrast                       On average, across all countries and the
     to Asian experiences, but in line with Latin                 full time period considered (1950–2011), for
     American experiences. Sudan’s overvaluation                  each additional 10 percent RER undervaluation
     experience is in stark contrast to the experiences           a country’s export growth will rise by 0.6 per-
     in Asian countries. Figures 2.6.2, 2.6.3 and 2.6.4           centage points per year. Among high-income
     show China, India, and Korea. All of them had                countries between 1950 and 1980, an additional
     undervalued exchange rates during their catching-            10 percent undervaluation boosted export growth
     up periods: China between 1981 and 2009, India               by 1.26 percentage points. Among low-income
     since 1999 until the present, and South Korea dur-           countries between 1981 and 2011, that figure is
     ing much of the 1960s and 70s. With regard to RER            0.7 percent. A similar exercise for countries’ real
     undervaluation, Sudan’s neighbor Egypt followed              output growth shows a significant positive impact
     the Asian experience (Figure 2.6.1). On the other            of an undervalued exchanged rate on real output
     hand, Latin American countries adopted a rather              growth. The positive impact holds for both high-
     different strategy, where RERs were overvalued               income and low-income countries: on average
     during most of the past decades (see Figures 2.6.5           across all countries and all time, if a country’s RER
     and 2.6.6 for Argentina and Brazil).                         is 10 percent undervalued its real output growth
          A regression analysis more definitely con-              goes up by 0.88 percentage points per year.
     firms the graphical observations of the under-                    In the case of Sudan, each additional 10 per-
     valuation index and export growth plotted in                 cent RER undervaluation is associated with
     Figures 2.5 and 2.6. Annex 4 provides details                higher output growth of 0.9 percentage points
     about the regression and its results, which are very         and a positive relationship is expected also for
     intuitive. Overall, undervaluation is associated with        undervaluation and export growth. A positive
     higher export growth; this phenomenon is true                relationship between RER undervaluation and
     for both high-income and low-income countries                export growth is likely and at least in the order of
     (defined as having an annual GDP per capita below            0.7 percentage points as witnessed by the cross-
     $6,000 in 2000). Interestingly, the coefficients are         country analysis above. But in the case of Sudan’s
     significant for high-income countries in the earlier         RER Misalignment Index, due to the small sample
     decades (1950–1980) and for low-income countries             size used for the analysis that is carried out with
     in the latter decades (1981–2011). This implies that         Sudanese data, no significant relationship between
     countries need to be at a certain level of income            the two is found (Table 2.7).
     to be able to take advantage of the undervalued                   In turn, RER overvaluation is an important
     RER strategy. This is likely to be when a country            inhibiting factor for Sudan’s export sector, since
     is at the stage of exporting relatively simple, light        its non-natural resource and agriculture exports
     manufacturing products. In turn, this means that             comprise mainly of low-value, often raw and
     if a country’s economy is dominated by agriculture           unprocessed products, that compete primarily
     production and/or only exports commodities, an               on prices. In theory, the overvalued real exchange
     undervalued RER may not help the exporting firms.            rate hurts exports because Sudanese products are
     On the other hand, when a country is already rich            less competitively priced than identical products
                                                                                Structural change and the role of the real exchange rate for exports and growth                                                                                    59




FIGURE 2.6: Undervaluation and Export Growth, Selected Countries
                                                          1) Egypt                                                                                                               2) China
 0.9                                                                                                                         0.6
 0.6                                                                                                                         0.4
 0.3
                                                                                                                             0.2
   0
–0.3                                                                                                                          0
–0.6                                                                                                                        –0.2
–0.9
                                                                                                                            –0.4
–1.2
–1.5                                                                                                                        –0.6
–1.8                                                                                                                        –0.8
       1962
               1966
                       1970
                               1974
                                      1978
                                              1987
                                                     1982
                                                                 1986
                                                                         1990
                                                                                 1994
                                                                                        1998
                                                                                               2002
                                                                                                      2006
                                                                                                              2010




                                                                                                                               1953
                                                                                                                                      1957
                                                                                                                                             1961
                                                                                                                                                    1965
                                                                                                                                                           1969
                                                                                                                                                                   1973
                                                                                                                                                                           1977
                                                                                                                                                                                   1981
                                                                                                                                                                                           1985
                                                                                                                                                                                                   1989
                                                                                                                                                                                                           1993
                                                                                                                                                                                                                  1997
                                                                                                                                                                                                                         2001
                                                                                                                                                                                                                                2005
                                                                                                                                                                                                                                       2009
                                                                                                Misalignment                  Export growth

                                                           3) India                                                                                                 4) Republic of Korea
 0.3                                                                                                                         0.8
 0.2                                                                                                                         0.6
 0.1                                                                                                                         0.4
   0                                                                                                                         0.2
–0.1
                                                                                                                               0
–0.2
                                                                                                                            –0.2
–0.3
–0.4                                                                                                                        –0.4
–0.5                                                                                                                        –0.6
–0.6                                                                                                                        –0.8
–0.7                                                                                                                        –1.0
    1951
              1955
                      1959
                             1963
                                    1967
                                           1971
                                                  1975
                                                          1979
                                                                  1983
                                                                          1987
                                                                                 1991
                                                                                        1995
                                                                                               1999
                                                                                                      2003
                                                                                                             2007
                                                                                                                     2011




                                                                                                                               1953
                                                                                                                                      1957
                                                                                                                                             1961
                                                                                                                                                    1965
                                                                                                                                                           1969
                                                                                                                                                                   1973
                                                                                                                                                                           1977
                                                                                                                                                                                   1981
                                                                                                                                                                                           1985
                                                                                                                                                                                                   1989
                                                                                                                                                                                                           1993
                                                                                                                                                                                                                  1997
                                                                                                                                                                                                                         2001
                                                                                                                                                                                                                                2005
                                                                                                                                                                                                                                       2009
                                                                                                Misalignment                  Export growth

                                                         5) Argentina                                                                                                            6) Brazil
 1.0                                                                                                                         0.6
                                                                                                                             0.4
 0.5                                                                                                                         0.2
                                                                                                                               0
   0
                                                                                                                            –0.2
                                                                                                                            –0.4
–0.5
                                                                                                                            –0.6
–1.0                                                                                                                        –0.8
                                                                                                                            –1.0
–1.5                                                                                                                        –1.2
    1951
              1955
                      1959
                             1963
                                    1967
                                           1971
                                                  1975
                                                          1979
                                                                  1983
                                                                          1987
                                                                                 1991
                                                                                        1995
                                                                                               1999
                                                                                                      2003
                                                                                                             2007
                                                                                                                     2011




                                                                                                                               1951
                                                                                                                                      1955
                                                                                                                                             1959
                                                                                                                                                    1963
                                                                                                                                                           1967
                                                                                                                                                                  1971
                                                                                                                                                                          1975
                                                                                                                                                                                  1979
                                                                                                                                                                                          1983
                                                                                                                                                                                                  1987
                                                                                                                                                                                                         1991
                                                                                                                                                                                                                1995
                                                                                                                                                                                                                       1999
                                                                                                                                                                                                                              2003
                                                                                                                                                                                                                                     2007
                                                                                                                                                                                                                                            2011




                                                                                                Misalignment                  Export growth

Source: World Bank staff own calculations, based on data from PENN World Tables.
Note: Undervaluation zone is above 0.




from other countries, all else being equal. In prac-                                                                        straightforward. The latter can appreciate as a result
tice, the relationship between competitiveness                                                                              of an improvement in competitiveness when there
and movements in the real exchange rate is not                                                                              are gains in productivity of tradable goods relative to
60     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     Table 2.7: Effects of Undervalued RERs on Export and Output Growth Sudanese Data
                                                ΔIn (real exports)   ΔIn (real exports ex-oil)        ΔIn (real GDP)
                                                        (1)                     (2)                         (3)
      In (Initial Real Exports)                         0.014
                                                       (0.040)
      In (Initial Real Exports ex-Oil)                                       –0.27433
                                                                             (0.201)
      In (Initial Real GDP per capita)                                                                     0.032
                                                                                                          (0.044)
      Undervaluation                                    0.367                –0.673                        0.0954**
                                                       (0.315)               (0.619)                      (0.045)
      Constant                                          0.067                  5.536                     –0.175
                                                       (0.310)                (4.109)                    (0.316)
      R-squared                                         0.05                  0.13                        0.06
      Adjusted R-squared                                0.0                   0.05                        0.02
      S.E. of regression                                0.320                 0.553                       0.07
     Note: Newey-West HAC Standard Errors in parenthesis.
     *** p<0.01, ** p<0.05, * p<0.1.




     that of non-tradable goods. Competitiveness is lost             countries are not optimal. If every country deval-
     when there is a misalignment from the equilibrium               ues to take advantage of the lower RER, countries
     RER. In particular, the agricultural commodities that           might undercut each other’s export (i.e., a race to
     are primarily behind Sudanese non-natural resource              the bottom), and the end result might be that no
     exports tend to be affected by real appreciation                exporting country will benefit from their exchange
     because import content in these sectors is generally            rate devaluations. In other words, from the point
     lower than in manufacturing.                                    of view of a specific country such as Sudan, main-
          Potential changes in the exchange rate would               taining an undervalued exchange rate is beneficial
     need to be considered in the context of the                     for its export and growth. However from the point
     overall macroeconomic policy mix, which may                     of view of the developing world as a whole, com-
     also need adjustment. There are macro-economic                  petitive devaluation (recently dubbed as currency
     trade-offs to consider. Nominal currency deprecia-              wars) from many developing countries may not be
     tion increases import prices and thus contributes               optimal. An international exchange rate coordina-
     to inflation, especially if imported food inflation is          tion system could play a role in this regard, but this
     already a problem as it is in Sudan. There are also             is beyond the scope of this paper. In the long run
     balance sheet effects through a rise in external pub-           what really matters is that exports strive for produc-
     lic debt when expressed in local currency. Some of              tivity and product quality.
     these trade-offs can be addressed by adjusting other                 But how to change the RER? In a situation
     policies. A tighter monetary and/or fiscal policy can           where the RER is off the equilibrium rate and
     help contain the inflationary impact, for instance,             there is a gap between the official nominal
     which is needed more than ever with core inflation              exchange rate and the black market rate, nominal
     at its historic high in 2014 (Figure 2.6.1).                    devaluation can lead to RER devaluation. Sudan
          The analysis is silent on the equilibrium                  is off the equilibrium rate since its official nominal
     effect and notes that, from an international per-               exchange rate is below the black market rate and
     spective, competitive devaluations from many                    the Misalignment Index showed an overvaluation
                                 Structural change and the role of the real exchange rate for exports and growth    61




of the RER over the past. In this situation a devalu-           In Sudan, in the short term it is important
ation of the nominal exchange rate to bring about          to bring the official exchange rate back to closer
RER devaluation is likely indicated.                       to the black market exchange rate. The authori-
    When a country’s exchange rate is in equi-             ties had only limited success thus far, even though
librium, depreciating the RER is more challeng-            two large nominal depreciations brought about a
ing. In such a situation, changes to the nominal           nominal depreciation of about 100 percent in 2012
exchange rate will potentially create disequilibrium       and 2013. In December 2014 the gap between the
transitional problems, and then nominal changes            two rates was just below 30 percent. So the case
are not effective in the long run. So in this case,        for further devaluating the currency is convincing,
any devaluation strategy would need to focus on            based on the black market exchange rate data and
factors that affect real fundamentals. The follow-         the RER Misalignment Index.
ing examples show some potential channels that                  There are two approaches toward large deval-
affect the RER:                                            uations: big bang vs. gradual. The first approach
                                                           is to do a one-off devaluation. However, a problem
 Reduce import restrictions: Reducing import             of a large sudden devaluation is that it will bring
   restrictions (tariff for example) would increase        about economic disruptions, for instance to trade
   spending on import and therefore reduce the             and debt services, and inflation. And in a way Sudan
   demand on domestically produced goods. This             already tried the approach twice in 2012 and 2013,
   would help lower wages. Export would be more            with limited success thus far. The second approach
   competitive due to lower imported input and             is to devalue gradually and credibly (see for instance
   lower wages. In fact, Sudan suffers from high           Sutela, 2010). The upside to this approach is that
   tariff and non-tariff barriers as shown in the          the economy will only have to deal with incremen-
   2014 Update to the Diagnostic Trade Integration         tal changes. The downside is that the depreciation
   Study (DTIS). Sudan’s simple average tariff and         expectations would put pressure on the central bank
   trade weighted tariff rates of 20 and 22 per-           to devalue earlier than planned. For this reason,
   cent, respectively, are among the highest in the        credibility is key. Given the ever-changing black
   world and are substantially higher than most            market rate and the earlier attempts in 2012 and
   countries in Africa and the Middle East (World          2013, gradual but ongoing devaluation may be the
   Bank, 2014e).                                           approach of choice for Sudan.
 Increase domestic savings: a reduction in domes-             In the medium to long term, and after the
   tic demand would lower both the RER and the             official and market exchange rates have been
   price of export. The reasoning is as follows:           successfully unified, the question arises for what
   reduced domestic demand would lower the                 exchange rate regime may serve the country
   prices of both the domestic non-tradable and            best. The choices are between pegged and flex-
   tradable goods. This implies that wages are             ible exchange rates, and a case could be made for
   lower and the domestic tradable goods become            the former for the following reasons: (1) A pegged
   relatively cheaper compared to the foreign trad-        exchange rate provides stability that is needed for
   able goods, which implies cheaper exports.              the export sector. This is especially important if the
   Reducing domestic demand also enables the               country would like to promote exports. (2) A peg
   government to spare the scare resources for             provides an inflation anchor. Developing coun-
   importing foreign technology and know-how.              tries with low technical and institutional capability
   Sudan’s savings rate is rather low as was shown         often choose to peg their exchange rate as a way to
   in the preceding section 2.C.                           anchor inflation expectation. Sudan may not be an
62     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     exception to this. (3) A slightly undervalued, rather             A major driver of the upsurge in inflation
     fixed exchange rate, will help the government to             since 2011 was the approach to monetize the
     accumulate foreign reserves to bolster the exchange          budget deficit by the Central Bank of Sudan
     rate regime and protect against economic volatility.         through granting direct loans to the government.
         Finally, a crawling peg arrangement may                  This resulted in rapid monetary expansion that
     be the preferred choice for a pegged exchange                triggered the growth of prices. Another significant
     rate regime as it combines the advantages of a               measure that contributed to the upsurge in inflation
     peg but can also avoid real appreciation. A hard             since June 2012 was the adoption of a reform pack-
     peg (i.e. fixed exchange rate) runs the risk of real         age that resulted in steep devaluation of the official
     appreciation if the domestic inflation is high. When         nominal exchange rate, an increase in taxes, and a
     the nominal exchange rate is fixed, an increasing            gradual elimination of fuel subsidies. All of these
     domestic price level means that the dollar price of          measures resulted in prices increases, especially the
     the domestic goods is more expensive compared                announced elimination of subsidies of petroleum
     to the foreign goods, an RER appreciation. With a            products. The latter affected the expectations for the
     crawling peg, the nominal exchange rate is allowed           economic agents about higher prices for petroleum
     to gradually devalue if domestic inflation is high.          products in near future that had spillover effects on
     Since Sudan’s inflation is rather high in the post-          other prices in the economy.
     secession world, a crawling peg may be the preferred              The structural components of the CPI show
     arrangement.                                                 that since 2011, inflation in Sudan was driven by
                                                                  food prices and services such as prices of trans-
     C. Volatile and High Inflation: Important                   port, recreation and culture, and health services.
         determinant of the Real Exchange                         What is most striking in Sudan is that core inflation
         Rate                                                     follows closely the movement of overall inflation;
                                                                  this is more pronounced since 2010. The rise in
     Inflation in Sudan has a history of high rates and           core inflation actually suggests that price pressures
     increased volatility for decades. Since the advent           are persistent, requiring strong, long lasting, and
     of oil, the average annual inflation in Sudan has            credible policy actions for reducing the core infla-
     been around or above 10 percent with the exception           tion because it is tied with inflationary expectations
     of the 2003 to 2006 period. The persistently high            of the economic agents in the country.
     inflation was also accompanied by high volatility.                The monetization policy by the Central Bank
     As one of the key symptoms of the 2011 secession             of Sudan32 resulted in a substantial increase in
     shock the Sudanese inflation rate has significantly          the volume of money in the economy (an upsurge
     increased since 2011, and has been beyond 30 per-            of the currency in circulation). The significant
     cent since 2012 (annual CPI rate, period average).           upsurge affected the broad money aggregate (M2),
     (Figure 2.7.1). Analyzed with monthly frequency,             which increased by 40 percent in 2012 compared
     inflation was even higher over certain periods               to 17.7 percent in the previous year (Figure 2.7.2).
     (exceeding 40 percent) such as in the second half            An additional contribution for the sharp rise of the
     of 2012 and the first quarter of 2013 when inflation         broad money was that the nominal value of foreign
     reached a monthly peak of 47.9 percent in March
     2013, after which the price level growth started to          32
                                                                    The monetization of the budget deficit was done mostly through
     decelerate. There was another peak of inflation with         long-term loans to the government whose nominal value more than
                                                                  doubled for the period December 2011–December 2013 and tempo-
     46.8 percent in July 2014, which relaxed to 25.7             rary advances to the government whose nominal value tripled during
     percent in December 2014.                                    the same period.
                                   Structural change and the role of the real exchange rate for exports and growth                    63




currency deposits more than doubled for a period                        Structure of the Financial Sector
                                                             Table 2.8: 
of one year from 2011 to 2012. Consequently, the                        in Sudan
share of the foreign currency deposits in M2 aggre-                                               Number of             Percent of
gate also rose from 12 percent in 2011 to 19.1 per-                                               institutions         total assets
cent in 2012. The significant increase of the foreign         Banks                                                 

currency deposits in Sudan is a result of a loss of               Government-owned                      4                  13%

confidence in the Sudanese currency that was trig-                Joint venture                        25                  77%

gered by the unstable macroeconomic environment                   Foreign-owned                         6                    8%

such as high inflation, unstable nominal exchange             Insurers                                n/a                    1%

rate and non-credible central bank authorities.              Source: IMF 2013.
                                                             Note: Does not include the small finance houses that operate.
      The level of broad money in the economy,
measured as share of GDP, is low in Sudan.
Broad money was only 21.0 percent of GDP in 2013,            by the Central Bank of Sudan (CBOS)/government
compared to 48 percent on average for low-income             and the private sector, and six foreign-owned banks.
countries, and the share of currency in broad money          Ninety percent of banking system assets are those of
is high (Figure 2.7.3). This indicates that Sudan is a       banks owned fully or jointly by the CBOS/govern-
low monetized economy that relies more on tradi-             ment. The dominance of state-owned banks presents
tional real currency transactions compared to other          apparent conflicts of interest with the supervisory
countries with more modern financial systems.                role by the CBOS.
      Solid but volatile credit growth to the private             Sudan’s banking system is characterized by a
sector in the past decade resulted in the continual          lack of financial instruments and excess liquid-
increase of credit-to-GDP-ratio, but financial inter-        ity. The Islamic principle does not allow short-
mediation remains low. The credit-to-GDP-ratio               term liquidity products, resulting in the absence
increased by 11.9 percentage points as share of GDP          of an active interbank market. The absence of an
from 2000 to 2006 and since then it has remained             interbank market, as well as a cap on commercial
stable around that level. However, looking at growth         bank holding of government and central bank
rates of private sector credit, one can see large vola-      securities, have led to persistent excess reserves
tility. At times credit growth to the private sector is      (Figure 2.7.7) and budget financing by the Central
high (in nominal terms), which is both a symptom             Bank of Sudan (CBOS).33
of high inflation rates and also a reinforcing factor             Although still weaker than its SSA peers,
(Figure 2.7.4). Growth of credit to the private sector       Sudan’s banking system showed a sign of
reached its maximum of 12.8 percent in 2012 and              improvement in 2013. The capital adequacy ratio
went down to 10.5 percent in 2013 (Figure 2.7.5).            increased to 16.6 percent in December 2013, above
However, despite the growth of private sector credits        the required adequacy ratio of 12 percent (Figures
the level of financial intermediation in Sudan is still      2.7.8 and 2.7.9). The ratio of liquid assets to total
very low (Figure 2.7.6). This suggests that there is         assets increased to 39.5 percent. Bank profitabil-
significant space for future development of the finan-       ity, measured by return on assets and equity, has
cial sector as one of the key ingredients for growth.        gradually recovered since the lows reached in 2008,
      Sudan’s banking sector is based on Islamic             although it is still well below the inflation rate.
finance principles, and is currently composed
of 35 banks (Table 2.8). As of 2013, the sector
                                                             33
                                                               Banks can only invest up to 20 percent of their investable funds in
consisted of four government-owned banks, twenty             government securities, short-term murabaha investments, and central
five domestic mixed-ownership banks jointly owned            bank certificates.
64      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 2.7: Inflation, Monetary and Financial Sector Developments
                                                                                         1) Average annual inflation in Sudan, 1999–2014
     50%                                                                                                                              40%

     40%                                                                                                                              30%

     30%                                                                                                                              20%

     20%                                                                                                                              10%

     10%                                                                                                                                    0%

      0%                                                                                                                        –10%
            1999
                   2000
                          2001
                                 2002
                                        2003
                                               2004
                                                      2005
                                                             2006
                                                                    2007
                                                                           2008
                                                                                  2009
                                                                                         2010
                                                                                                2011
                                                                                                       2012
                                                                                                              2013
                                                                                                                     2014




                                                                                                                                                 1999
                                                                                                                                                        2000
                                                                                                                                                                2001
                                                                                                                                                                       2002
                                                                                                                                                                                 2003
                                                                                                                                                                                         2004
                                                                                                                                                                                                    2005
                                                                                                                                                                                                            2006
                                                                                                                                                                                                                   2007
                                                                                                                                                                                                                              2008
                                                                                                                                                                                                                                     2009
                                                                                                                                                                                                                                              2010
                                                                                                                                                                                                                                                       2011
                                                                                                                                                                                                                                                                2012
                                                                                                                                                                                                                                                                        2013
                                                                                                                                                                                                                                                                                2014
                     Overall inflation                         Food inflation                        Core inflation                                      Non-tradables/Tradables                                         Tradables                            Non-tradables

                    2) Broad money, base money, and money multiplier                                                                                           3) Broad money in Sudan and selected countries, 2013
      50%                                                                                                               2.5                      90
                                                                                                                                                 80
      40%                                                                                                               2.0
                                                                                                                                                 70
                                                                                                                               Percent of GDP



      30%                                                                                                               1.5                      60
                                                                                                                                                 50
      20%                                                                                                               1.0
                                                                                                                                                 40
      10%                                                                                                               0.5                      30
                                                                                                                                                 20
       0%                                                                                                               0
                                                                                                                                                 10
     –10%                                                                                                               –0.5                      0
                   2008           2009                2010            2011               2012            2013
                                                                                                                                                        Egypt

                                                                                                                                                                  Kenya

                                                                                                                                                                              Botswana

                                                                                                                                                                                           Malawi

                                                                                                                                                                                                       Nigeria

                                                                                                                                                                                                                   Tanzania

                                                                                                                                                                                                                               Ghana

                                                                                                                                                                                                                                         Ethiopia

                                                                                                                                                                                                                                                       Zambia

                                                                                                                                                                                                                                                                  Uganda

                                                                                                                                                                                                                                                                               Sudan
                    Money multiplier (right axis)        Base money (left axis)
                                      Broad money (left axis)

                                 4) Annual credit growth to private sector                                                                                     5) Private sector credit to GDP in Sudan, 2001–2013
     40%                                                                                                                                         14
                                                                                                                                                 12
     30%                                                                                                                                         10
                                                                                                                               Percent of GDP




                                                                                                                                                  8
     20%
                                                                                                                                                  6

     10%                                                                                                                                          4
                                                                                                                                                  2
      0%                                                                                                                                          0
               2008               2009                2010                 2011             2012               2013
                                                                                                                                                        2001
                                                                                                                                                                2002
                                                                                                                                                                          2003
                                                                                                                                                                                    2004
                                                                                                                                                                                              2005
                                                                                                                                                                                                           2006
                                                                                                                                                                                                                   2007
                                                                                                                                                                                                                              2008
                                                                                                                                                                                                                                       2009
                                                                                                                                                                                                                                                    2010
                                                                                                                                                                                                                                                           2011
                                                                                                                                                                                                                                                                       2012
                                                                                                                                                                                                                                                                               2013




     Source: World Bank staff own calculations, based on data from CBOS 2014; IMF 2012; IMF 2013; IMF 2014a; IMF 2014b; IMF 2014c; and World Bank
     World Development Indicators (WDI).
                                                                                                                               (continued on next page)




     Nonperforming loans continued to fall to 8.4 per-                                                                                 percent in 2012 to 53.6 percent in 2013 (Figures
     cent in December 2013 from 11.8 percent in 2012,                                                                                  2.7.10 and Figures 2.7.11). Annex 5 contains a full
     leading to provision ratio increasing from 33.5                                                                                   set of financial soundness indicators.
                                                                         Structural change and the role of the real exchange rate for exports and growth                                                65




FIGURE 2.7: Inflation, Monetary and Financial Sector Developments (continued)
                                      6) Private sector credit to GDP selected countries, 2013                                        7) Reserve ratios in Sudan, 2008–2013
                                                                                                                      35
    Congo, D.R.
                                                                                                                      30
                          Chad                                                                                        25




                                                                                                     Percent of GDP
                         Sudan                                                                                        20
                                                                                                                      15
                         Uganda
                                                                                                                      10
                          Egypt
                                                                                                                       5
                          Kenya                                                                                        0
                                                                                                                               2008           2009     2010       2011       2012           2013
                                  0           10          20            30          40      50
                                                                                                                                                 Required reserve to deposit ratio
                                                          Percent of GDP                                                                         Excess reserves to deposit ratio

                                            8) Capital adequacy ratio in Sudan                                                 9) Capital adequacy ratios, selected countries, 2013
                           25                                                                       Seychelles
                                                                                                       Rwanda
                           20                                                                           Zambia
                                                                                                     Swaziland
                                                       Required ratio                                    Kenya
                           15                                                                          Burundi
Percent




                                                                                                        Nigeria
                                                                                                      Tanzania
                           10                                                                         Mauritius
                                                                                                   South Africa
                                                                                                       Namibia
                            5                                                                    Congo, Rep. of
                                                                                                         Sudan
                            0                                                                        Cameroon
                                  2006 2007 2008 2009 2010 2011 2012 2013                                                  0              5           10         15          20        25          30
                                                                                                                                                               Percent

                                             10) Non-performing loans in Sudan                                                 11) Non-performing loans, selected countries, 2013
                           30                                                                        Cameroon
                                                                                                         Sudan
                           25                                                                        Swaziland
                                                                                                    Seychelles
Percent of gross loans




                           20                                                                          Burundi
                                                                                                        Zambia
                           15                                                                         Tanzania
                                                                                                       Rwanda
                                                                                                         Kenya
                           10                                                                      South Africa
                                                                                                      Mauritius
                            5                                                                           Nigeria
                                                                                                 Congo, Rep. of
                            0                                                                          Namibia
                                  2006 2007 2008 2009 2010 2011 2012 2013                                                  0          2           4        6             8        10    12         14
                                                 Provisioned            Unprovisioned                                                                          Percent

Source: World Bank staff own calculations, based on data from IMF 2012; IMF 2013; IMF 2014a; IMF 2014b; IMF 2014c; and World Bank World Develop-
ment Indicators (WDI).
                   AGRICULTURE AND LIVESTOCK:
             KEY FOR ECONOMIC DIVERSIFICATION
                                                                                          3
Rising agriculture trade since 2008 is the visible testament to a starting recovery in Sudan’s agriculture
economy, albeit from a low level. The rising trend is also only driven by a small number of products, most
notably livestock, gum arabic, and cotton. Livestock may be the most remarkable of these with a remark-
able recovery after virtually no exports in 2008 due to an imposed export ban and quarantine measures,
which grew to a multi-million business and earned more than US$670 million in 2013. The backbone of
this success is pastoral livestock production, which is superior to any other form in Sudan. But pastoral-
ism is under pressure due to uncertain land tenure and land rights that effectively diminish the historical
grazing grounds of pastoral farmers.

Gum arabic and cotton have shown a remarkable recovery. In each case the Government had instituted
monopolized marketing structures in the past (monopsonies) in the form of parastatal companies. As is
often the case with such companies, paying farmers less and less for their products (independent of the
world price) seems an easy path to profitability, until the farmers stop harvesting or even planting their
crops. That this happened can be seen in low yields in both gum arabic and cotton, but also many other
agriculture products. As the monopsonies were eventually relaxed and competition provided, prices
received by farmers increased substantially, and with them so did areas cropped and especially yields.
Cotton yields tripled nation nationwide in one year (2010/11), and in three years increased by five and
a half times—with no improvements in irrigation or varieties. Such remarkable increases in agricultural
yields show that poor agriculture performance is not only a product of low fertilizer usage, weak variet-
ies due to often-local breeds of seeds, but also, and possibly most importantly a lack of incentives for
the producers.

There is no comparative advantage for wheat production in Sudan, which needs more seasonality
than most of Sudan provides. This is why Sudan’s average yield is half of Chad’s, one quarter that of
Ethiopia, and 1/14 that of Egypt. Sugarcane is somewhat different, in that areas of Sudan have achieved
good yields in international terms. But sugarcane is the second highest water-consuming field crop in
the world, after rice. Meanwhile, Sudan’s irrigation schemes are deteriorating rapidly, and the largest,
Gezira, is almost to the point of collapse in terms of delivering water. Sudanese farmers know this, and
they have turned against sugar as decisively as they have turned against wheat. As for government sup-
port of wheat production, this study follows World Bank (2015b) in its recommendation to first shift the
focus of subsidies to domestically produced wheat and then, second, to gradually reduce the extent of
subsidies on domestic production.

                                                                                       (continued on next page)
68     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




        Some critical public goods must be provided by public investment. Two such encountered by the study
        team are the rehabilitation of the Gezira Scheme, and establishment of a system of regional grain stores.
        The Gezira Scheme, the centerpiece of Sudan’s crop agriculture for the past 90 years, is now approaching
        total collapse in terms of water delivery, though long ago its drainage systems became hopelessly clogged.
        Sudan’s President has declared the Scheme a failure in 2014. Yet the natural advantages which led to its
        construction and expansion still exist: slopes permitting gravity irrigation, decent soils, good climate, and
        now a knowledgeable workforce from among the three million residents of the area. A thorough yet quick
        feasibility study would be needed to determine if rehabilitation of the scheme is economically beneficial
        and what needs to be done differently to again make it a success.

        Food security in the modern world has more to do with efficient storage capacity than with attempted
        self-sufficiency in production, whether of wheat or anything else. As Sudan produces very little wheat and
        imports most of its needs, there is considerable modern storage capacity on the Red Sea around Port
        Sudan, both to buffer incoming shipments and as a working reserve for flour mills. These represent around
        two months of wheat consumption—not a comfortable reserve but tolerable with good management of
        procurement and the silos themselves. Aside from traditional peasant reserves of the sorghum and mil-
        let they produce (mainly in the west), there are only 20 days of those two commodities in government
        stores, and this is probably inadequate, especially given that the consumers of these grains are far from
        the port. In event of crop failure, a serious humanitarian emergency may arise. Thus the study proposes
        an innovative approach to a series of modern silos.




     A. Overview                                                  is, in principle, suitable for agricultural production.
                                                                  Reliable statistics about how much of the arable land
     Agriculture is a key sector of the Sudanese                  is currently used are not available, but staff esti-
     economy contributing about one-third to                      mates are that about 30 percent of that area is under
     GDP and value added creation every year (see                 exploitation.35 Approximately 52 million feddan
     Figure 2.18). Agriculture provides a livelihood to           are forestland and 118 million feddan rangeland.
     about 65 percent of total population, employment             This section will show that the agricultural sector in
     to about 35 percent of the labor force in the coun-          Sudan operates below its true productive potential,
     try, 50 percent in rural areas (NBHS 2009), and is           even though a great potential for further develop-
     responsible for the supply of basic staple foods and         ment exists through vertical (productivity) and
     animal products, in addition to the supply of raw            horizontal (land area) expansion. Agriculture in
     material to the food industry. Agricultural exports          Sudan is paramount for sustained future national
     are returning to prominence as ab important source           economic growth, poverty reduction, food security,
     of foreign exchange earnings after the decline of oil        and foreign exchange earnings. At present, Sudan’s
     exports. Their share rose from 8 percent in 2011 to
     about 23 percent of total export earnings in 2012,
     with livestock alone reaching 19 percent.                    34
                                                                    1 hectare = 2.4 feddan
                                                                  35
                                                                    This does not mean that the other 70 percent of the 134 million
          About one-third of Sudan’s area is suitable             feddan of land are readily arable land that is basically wasted. In fact,
     for agriculture production. The total land area of           anecdotal evidence points to the facts that there is often significant soil
                                                                  degradation, that semi-mechanized farming has displaced pastoralism,
     Sudan after secession of South Sudan is estimated at         and then when soils are exhausted, the area cannot be used either for
     446.4 million feddan34 of which 134 million feddan           further crops or for grazing.
                                                         Agriculture and livestock: key for economic diversification                69




main agricultural products are sorghum, cotton,             the year. Aside from being suited to Sudan’s resource
groundnuts, sesame, millet, wheat, sugar cane, gum          base, this mode of production is attractive to Sudan’s
arabic, and livestock, particularly live sheep and          major importer, Saudi Arabia, as reminiscent of how
camels, and hides and skins.                                meat used to be produced there.
     There are three main agriculture sub-sectors               The major problem of pastoralism today,
active in Sudan: pastoral livestock, cropping, and          which has been building for decades, is the loss
fish production.36 Figure 3.1.1 shows the aver-             of rangeland to mechanized dryland and irri-
age share of these agriculture sub-sectors in GDP           gated farming. A study in Gedaref State (Babikir
between 2006 and 2009.37 Animal husbandry and               2011) reported that grazing lands reduced from
cropping are similar in relative importance, both           78.5 percent of the State’s total area in 1941
with shares just below 50 percent of GDP (Animal            (28,250 km2), to 18.6 percent in 2002 (6,700 km2).
husbandry: 46.9 percent; cropping: 46.4 percent).           Meanwhile the mechanized farming sector in the
This is followed at a long distance by forestry/fish-       State increased by 725 percent in the same period:
ery, which accounts for 6.3 percent of GDP. In terms        from 3,150 km2 in 1941 to 26,000 km2 in 2002. In
of employment, cropping accounts for 25.9 percent           other areas, center pivot irrigated farming is used.
of total employment, followed by animal husbandry           The old tradition of allowing herds to graze crop
with 6 percent and forest/fishery with 2.4 percent          residues, while they simultaneously fertilize the
(NBHS 2009).                                                land, is now increasingly forgotten. Instead, farm-
                                                            ers sell their residues for cash and clashes between
Pastoral livestock production                               pastoralists and farmers are now much more com-
                                                            mon than ever before. Box 3.1 provides for a short
The pastoral livestock system has evolved in accor-         analysis of land policies and land tenure.
dance with Sudan’s harsh climate. Sudan’s climate
makes movement of herds a necessity to optimize             Cropping
volatile and adverse weather conditions. In addition,
pastoral livestock has a relatively higher economic         Cropping in Sudan is just short of livestock’s
potential than any other form of livestock production       importance in GDP, but employs more people.
in this climate. Much more, it shows good prospects         It is generally broken down into three main sys-
for resilience in response to climate change, largely       tems, differentiated by the ways rain and irrigation
due to real-time, informed decision-making by a large       are used in the sector: 1) the irrigated system; 2) a
corps of herders who move herds around the country          traditional rain-fed approach; and 3) a mechanized
in response to real-time weather (mainly precipita-         rain-fed one. Figure 3.1.2 shows the relative impor-
tion) conditions and resulting available forage.            tance of the three different systems, where the irri-
     Sudan’s livestock sector is fairly unique in the       gated one is by far the most important one, and the
world, but perhaps comparable to Mongolia’s. It             mechanized rain-fed is almost insignificant.
is not a sector based on feed brought to animals in              The traditional rain-fed sector occupies the
sedentary settings, but rather one where seasonality        majority of farmland in Sudan and employs
demands movement of the herds to places where               about two-thirds of the agriculture population
rain is present, and with it grass and other vegeta-
tion. Feed is used in feedlots, at markets and transit      36
                                                               Fish production is of small scale and is almost totally focused on
depots, where grazing is an impossibility. Even sed-        local markets. Important fishing sites in Sudan are either suffering
                                                            from overfishing (e.g., Jebal Awlia Reservoir) or nearly unexploited
entary producers must have members of the family            (e.g., Lake Nuba and Red Sea).
or trusted hands move the flocks at various times of        37
                                                               Later data is not available.
70     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




       BOX 3.1: Land Tenure and Land Policy
       Competition over land and natural resources has long been a source of tension among pastoralists and between pastoralists
       and farmers in Sudan. The expanding investments in mechanized farming, oil industry-related development, and other land-based
       investments under conditions of the rapid transition to market economy, along with the increasing tendency towards climatic change,
       and large-scale environmental degradation have become new sources of tensions through appropriation of customary land rights,
       creation of landless rural groups, and blocking of stock routes.
          Scarcity of resources has also contributed to the increase in intra-community competition and conflict over land and natural
       resources. The social landscape of present-day Sudan is littered with land-related and resource-based conflicts that have become a
       major cause of poverty, food insecurity, population instability, and a general rupture of the rural economy. Land issues are also widely
       regarded as being at the heart of conflicts in Eastern Sudan, Nuba Mountains, Blue Nile, and Darfur. Of the six recognized and agreed
       upon “root causes” of the war in Darfur mentioned in the 2011 peace accord between the government and one set of the Darfur rebel
       factions, three deal explicitly with land rights issues.
          Land tenure in Sudan is either traditional (historically derived tribal territorial rights initially constituted during the successive
       indigenous kingdoms of pre-colonial Sudan) or modern under which land is registered. Young et al. (2013) argue: “Aspects of the
       traditional model remain in place and continue to function, although there is a consensus in the literature that the Native Administration
       has been weakened, in part because of the development of a local civil government framework and administration, which was first
       introduced in 1932.”
          Since independence of Sudan in 1956 a whole series of legislative changes were introduced that affected the authority and
       responsibilities of the tribal administration. The most pertinent elements of those reforms include: (1) De facto abolition of customary
       land use rights: This was the outcome of the shift to a property regime in 1971 with the Unregistered Land Act, which placed all
       unregistered land as “property of the government.” (2) Strengthening of subnational government: The 1971 Local Government Act
       started the process of a shift in power to state authorities, which replaced the Native Administration and abolished the jurisdiction and
       administrative authority of the tribal leaders. The Native Administration was revived with the Native Administration Bill in 1987 (but
       with a more limited role) and strengthened further with the 1998 Local Government Act. (3) Further shift in authority from customary
       land use rights to authorizations by the state: The Civil Transaction Act of 1984 allowed the state authorities to impose restrictions on
       grazing as to time and place, and also allocate land for grazing.
          Still, the tribal administration maintains a strong presence throughout the Darfur and Kordofan regions. It particularly maintains
       its role and importance as the principal local-level governance mechanism, connected through a hierarchical leadership structure
       which interfaces with systems of state-level government at all levels; hence the tribal leadership continues to wield considerable
       power and influence.
          The legal framework for land tenure is perhaps the most complex natural resource legislation and governance in Sudan. The 1971
       Unregistered Land Act, a de facto nationalization by the state, denies any formal legitimacy or juridical status to customary property
       rights. In effect, this implies the cancellation of all rights relating to land, water, and grazing as well as the suppression of any future
       income related to such rights (Egemi 2006). The Act was implemented indiscriminately over all the rain-fed agricultural lands of the
       country, even in places that had no previous system of land registration such as Darfur, Kordofan, and the East. The 1984 Act legalizes
       elements of Sharia (Islamic) Law while confirming the role of the state as landowner and manager. According to the Act “No court of
       law is competent to receive a complaint that goes against the interest of the state.”




     in the country. Traditional rain-fed agriculture is                        fed crop residues in the field. Farmers involved in
     mostly subsistence farming, which occupies more                            this sub-sector usually have Acacia Senegal for gum
     than 60 percent of the total cultivated land (about                        arabic production in their fields.
     22 million feddan) and employs about 65 percent                                 Traditional rain-fed methods are primarily
     of the agricultural population. Private small-scale                        utilized in the Western areas of Sudan (Kordofan
     farms dominate the sector with access to consider-                         and Darfur states) as well as White and Blue Nile
     able communal grazing areas that support extensive                         states. Primary crops are sorghum, sesame, millet,
     livestock production. Crop residues are used as ani-                       and pasture species. The sector is characterized by
     mal feed, and the animals are taken to grazing areas                       low crop productivity, in particular due to one of
     when the land is cropped. Farming methods include                          the lowest usage rates of chemical fertilizers in the
     animal traction, and use of animal manure for the                          world: The overall average fertilizer usage for Sudan
     fields through animals grazing stubble and being                           is half of Ethiopia’s, where the peasant community
                                                                        Agriculture and livestock: key for economic diversification                71




  BOX 3.1: Land Tenure and Land Policy (continued)
     Other pieces of legislation impacting land governance are the Local Government act (1990), Forest and Renewable Natural
  Resources bill (2002), and the Investment Encouragement act (1999) and its amended version of 2007. (1) The Sudan Interim
  Constitution 2005 includes provisions that relate directly to land and natural resource management, and stipulates that: The regulation of
  land tenure, usage and exercise of rights thereon shall be a concurrent competence, exercised at the appropriate level of government.
  (2) All levels of government shall institute a process to progressively develop and amend the relevant laws to incorporate customary
  laws, practices, local heritage, and international trends and practices. (3) Persons enjoying rights in land are entitled to equitable
  compensation on just terms arising from acquisition or development of land for the extraction of subterranean natural resources.
  (4) The communities in whose areas development of subterranean natural resources occurs have the right to participate, through
  their respective states, in the negotiation of contracts for the development of those resources; and (5) The entitlement of the states
  for raising revenue or collecting taxes from different sources including state land.
     Still, the present legal framework for land tenure is not able to overcome the apparent dichotomy between the statutory and
  customary rights. Specifically, it is not clear at all whether statutory or customary rights have legal status in terms of who owns, who
  controls, and how access to land can be made, remade, legitimated, and contested. As a consequence there is an apparent legislative
  gap to sanction the right of entitlement of pastoralists and small farmers to land and natural resources. In its present form and practice
  customary law is manifestly discriminative with apparent violation of the rights of large populations who have been for centuries living
  within the domains of the existing tribes without recognizable or legitimate rights to land. The migrants in Blue Nile and Gadarif States
  and the many Arab camel herders in Darfur provide typical examples. The rights of such groups seem to depend on the generosity
  of Native Administration leaders and their will.
     Despite the importance of land to women, they are still largely discriminated against in customary and statutory laws in regard
  to their land rights. In addition, lack of title to land has denied traditional farmers and pastoralists the right to access public resources,
  namely formal credit, creating them as highly disadvantaged and marginalized groups. Women are particularly vulnerable within this
  group. Much more, the Investment Encouragement Act of 1990 and its amended version of 2007 do not cover the social dimensions
  and conflict sensitivity in relation to land. Finally, the land-related legal framework created during the past century has been rendered
  manifestly inadequate by the tremendous changes in the social, political, economic, and cultural circumstances of the country since then.
     In sum, the existing land law and land policies have the following drawbacks for agricultural development. First, they limit access to
  credit especially for small farmers and women; second, they constrain sustainable and efficient agriculture and pastoral development, with
  no incentive for capital and land development, resulting in severe environmental degradation and low yields; third, they deprive a large
  number of small traditional farmers from access to their land as a result of government policies of leasing large holdings to investors in
  semi-mechanized agriculture, and (most recently) long term leases for foreign investors; and fourth, they create a source of tension and
  civil conflict between settled farmers and pastoralists. In turn, there is an urgent need for clear-cut land tenure and policy reforms with
  the objectives of providing secured tenure for farmers, reducing civil tensions, and protecting small farmers and foreign investor rights.
     While reforms in land tenure would benefit all sub-sectors of agriculture it is important to note that reform in land tenure are
  difficult to manage. This study therefore follows the recommendations in World Bank (2015b), which proposes a gradual approach
  to reform in this area and to start in a few, easier to reform areas first. This is important since land tenure is a well-known and multi-
  dimensional policy issue that is also closely interlinked with conflict. Tensions over land polices are one driver of conflict, and it is very
  difficult to solve land issues in the midst of conflict (World Bank 2015b).




is much poorer than in Sudan. This is reflected in                          for most crops. The pastoralists and small farmers
the low average contribution of this sector to GDP                          in the traditional sector are the most vulnerable to
of only 14 percent during the 2006 to 2009 period                           poverty.
(Figure 3.1.1). Still, the per ha yield for crops in this                        The mechanized rain-fed sector coverings
sector is slightly higher than in mechanized dryland                        large parts of the former grazing land of Sudan
farming; on the other hand, there is a declining                            and cover about 14 million feddan. The sector was
trend in productivity due to loss of soil fertility.                        originally promoted by the former colonial power,
The traditional rain-fed sector receives few support                        similar to, for instance, groundnut schemes in the
services such as credit, research, and extension.                           Gambia and Tanzania to supply Great Britain with
Public investments in basic infrastructure for rural                        oil seeds and grain during the Second World War.
and agricultural development are also negligible.                           Large-scale semi-mechanized rain-fed farming sys-
The result is low and declining or stagnating yields                        tems cover an area of about 14 million feddan in the
72      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 3.1: Overview of Agriculture in Sudan
                                1) Agriculture subsectors in Sudan                                             2) Three different types of cropping



                                                6.3

                                                                                                                       14.3

                                                           46.4
                                                                                                                                           29.3
                                      46.9
                                                                                                                     2.8




                          Cropping           Livestock     Forestry/Fisheries                          Irrigated     Mechanized rain-fed          Traditional rain-fed

                                                                                                       4) Percentage of population living in households
                  3) Main household livelihood by poverty quintile                                       whose main livelihood is agriculture by state
     100%
      90%
      80%
      70%
      60%
      50%
      40%
      30%
      20%
      10%                                                                                                                                              Population in
       0%                                                                                                                                              agriculture
              Poorest        Second             Third      Fourth      Wealthiest                                                                         1
                                                                                                                                                          26
                                                                                                                                                          50
                        Agriculture          Wage and salaries      Others                                                                                74




                                                           5) Main household livelihood by urban, rural and nomad

                            Urban                                                   Rural                                            Nomad




                                        Subsistence crop farming        Subsistence animal husbandry     Wage and salaries      Others

     Source: World Bank staff own calculations, based on data from Sudan Ministry of Livestock and Fisheries; Sudan Ministry of Finance and National
     Economy; Central Bank of Sudan, the Sudan Population and Household Census (2008), and the National Benchmark Household Survey (2009).




     states of El Gadaref, Blue Nile, White Nile, Sennar,                                   during the 2006 to 2009 period (Figure 3.1.2). Its
     and South Kordofan. Crops such as sorghum, ses-                                        share is declining because of low yields resulting
     ame, and recently sunflower are produced in this                                       from levels of input usage. Regular plowing has
     farming system. The semi-mechanized farming sys-                                       made the fragile sandy soils in the Savannah belt
     tem accounted for only about 2.8 percent of GDP                                        even more prone to wind erosion, and has changed
                                                                         Agriculture and livestock: key for economic diversification                 73




  BOX 3.2: Studying the Rehabilitation of the Gezira Scheme
  The Gezira Scheme is commonly regarded as the centerpiece of Sudan’s agriculture but it is at the verge of collapse. The Gezira
  scheme was once the pride of Sudanese given the enormous size of the irrigation system (900,000 ha), close to both the capital (and
  metropolis) of an arid country (Khartoum), and its major port (Port Sudan). With its 90 years of history, three million inhabitants, and
  certain natural advantages (much of the scheme could be irrigated by gravity with proper infrastructure maintenance), it is obviously
  the heart of Sudan’s agriculture. But over time its natural advantages encouraged many unsustainable shortcuts stretching back to
  the colonial days, in areas as diverse as repeated abrogation of landholders’ rights, command cropping plans, exploitation of farmers’
  interests, skimping on spending both for routine maintenance (e.g., silt removal), and redesign of works to reduce maintenance needs.
  Most of those needs have accumulated in recent years to the point of virtual collapse of the Scheme’s irrigation and drainage functions.
     In 2014 the head of Gezira’s Board of Directors resigned, while the President of Sudan has publicly declared the failure of the
  scheme. Almost all of the scheme staff, which once numbered 10,000, have been terminated and portable assets sold off. To turnaround
  its fortune, and to avoid a major loss to Sudan and its agriculture sector in particular, it would seem wise to design and implement a
  technical feasibility study of rehabilitating Gezira, including an initial benefit-cost analysis of rehabilitation of the scheme. Rehabilitating
  the scheme would no doubt be a large project, since it would have to compensate for decades of deferred maintenance.
     While it is too early to provide any details of a rehabilitation program, there are a number of priorities emerging from the analysis
  in this study. On the engineering side, rehabilitation seems to require mechanized or hydraulic silt exclusion mechanisms at the inlets
  from the Nile. This may be less difficult than in the past, as, due to construction of the Renaissance Dam on the Blue Nile in Ethiopia,
  that reservoir will act as a giant upstream silt trap for decades, thus markedly facilitating silt exclusion at Gezira.
     From an organizational perspective any rehabilitation would have to consider the following principles:

  •	 Land tenure: Secure (and transferable) land tenure would have to be assured to all farmers in the scheme, with no differentiation
     based on when ancestors joined the scheme. The past allocation of land (8 ha equivalent to each family) was too large for intensive
     irrigated agriculture by peasant families. Under intensive conditions, a much smaller farm would produce good incomes to any
     family, as evidenced by experiences in countries like Indonesia, Thailand, Malaysia, where farm allocations are much smaller. This
     reduction in farm size would permit all existing residents (many of whom have been landless laborers for generations) to have
     their own farms.
  •	 Allow farmers free choice of crops: Experience shows that farmers know best what crop to use to maximize yields and income.
     Thus rehabilitation should be built on a complete abandonment of coercion in cropping patterns. On the other hand, the scheme
     management would have to have the ability to schedule water deliveries internally to suit river flows and the needs of most farmers.
     Farmers would then simply have to plan cropping patterns to fit pre-announced water delivery schedules.
  •	 Principle of cost recovery: Real cost recovery would have to be agreed upon by all farmers. The recovery rate could be based
     on accounted operation and maintenance costs. Collection of charges and distribution of water at field levels should be handled
     by to-be-established Water User Associations (WUAs). Areas where farmers do not form WUAs would receive water last. Such
     mechanisms have proven very effective in managing water in a sustainable way.




vast former rangelands into basically a stand of                             irrigated land within the Nile basin—in River Nile,
weeds and some crop residues. The latter is only of                          Khartoum, Gezira, Sennar, Blue Nile, and White
little use for livestock production. Also, the seces-                        Nile States. The Gezira Scheme (2.1 million fed-
sion of South Sudan and gold mining has had a seri-                          dan), Rahad, Suki and New Halfa are historically
ous impact on availability of seasonal labor that led                        managed by the Central Government, but currently
to a decline in the semi-mechanized farming areas,                           some effort toward privatization has taken place,
especially for sesame. The sector does not include                           especially in the Gezira scheme. But overall the
substantial livestock production.                                            Gezira scheme is in urgent need for comprehen-
     The irrigated farming system is the dominant                            sive rehabilitation to reach similar successes as in
force of agricultures’ share in GDP. Irrigated                               the past. Box 3.2 provides a short analysis of the
farming is practiced along the river Nile and its                            possibility for rehabilitation of the Gezira scheme.
tributaries and is considered one of the pillars                             In total, the irrigated sector accounted for about
of Sudan’s strategy for agricultural development.                            29 percent of agricultural GDP over the 2006 to
There are between four and five million feddan of                            2009 period.
74     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




          Irrigation schemes started in the colonial              Nomads rely almost exclusively on agriculture with
     time for smallholders (such as Gezira) and some              19 percent involved in crop farming and 76 percent
     large sugar cane plantations set up by govern-               engaging in animal husbandry.
     ment. The number and size of sugarcane plantations                A renewed growth of the agricultural sector
     are now rapidly increasing in the form of joint ven-         can lift many households out of poverty. As most
     tures between government and foreign investors. In           poor households engage in agriculture, policies
     the last 10 years large concessions have been given          supporting higher productivity will also improve
     out to yet another group of foreign investors for the        livelihoods of the poor. In addition, increased pro-
     establishment of forage production farms. These              duction will reduce food imports improving Sudan’s
     cover now large areas of the Nile and Ak Bara val-           trade balance. In the medium-term, a flourishing
     leys. Wheat, cotton, sorghum, and groundnuts were            agricultural sector can regain market shares in the
     the most important crops in irrigation areas during          regional and global market. Thus, tapping into the
     the 1990s. More recently, reductions in the areas of         agricultural potential of Sudan can lead to shared
     the traditional crops have led to opportunities for          prosperity and sustainable growth.
     production of other crops such as vegetables, and a
     substantial increase in the production of livestock.         B. Production
     In the irrigated schemes agricultural services are
     provided and supported by the government through             Cropping
     facilitation of credit, input supply, and extension
     services. Irrigation schemes often suffer from man-          The story of cropping in Sudan is by and large
     agement inefficiencies especially related to water           a story of low productivity. This section will
     supply, low productivity, and large debt burdens.            highlight some facts on various types of cropping,
                                                                  including cereals, oil seeds, gum arabic, and cotton.
     Poverty in the agriculture sector                            Cereal grains are the most important calorie source
                                                                  in Sudanese diets. Sorghum, millet, and wheat are
     Sudan’s poor are predominantly active in the agri-           the main cereals in Sudan. This section shows that
     cultural sector. More than 60 percent of households          yields are low in Sudan, particularly if compared to
     in the poorest quintile rely on agriculture as their         other countries with harsh climates.
     main livelihood in contrast to only 20 percent of                 Low crop yields are associated with low fer-
     households in the wealthiest quintile (Figure 3.1.3).        tilizer usage in the country. In 2009 the average
     This disparity is linked with a geographical concen-         fertilizer use per hectare of cropland was 7.3 kg,
     tration of agricultural livelihoods in the rural south-      which ranked Sudan at 129 among 155 countries.
     ern parts of Sudan (Figure 3.1.4).                           In the same year, Ethiopia, Sudan’s poorer neigh-
          Most rural households rely on agriculture.              bor, used 17 kg (ranking 115). Available statistics
     About 58 percent of the population in Sudan lives            indicate that Sudan used as much as 80 kg/ha in the
     in rural areas (excluding nomads). And more than             mid-1970s, and 70 kg/ha in the 1980s. While it is
     every second rural household (58 percent) lives              not entirely clear how the low fertilizer usage came
     below the poverty line compared to only one in four          about, it is clear that the decline in agriculture is
     urban households (27 percent). Thus, three out of            associated to fertilizer usage. Raising the bar of agri-
     four poor people live in rural areas. At the same            culture again in Sudan, therefore, requires efforts to
     time, rural areas rely predominantly on agriculture          stimulate fertilizer usage. All hindrances to fertilizer
     as the main livelihood with almost 65 percent com-           import and distribution, for whatever reasons, need
     pared to 8 percent in urban areas (Figure 3.1.5).            to be lifted, and indeed current policy needs to be
                                                          Agriculture and livestock: key for economic diversification   75




replaced by government encouragement, and pos-                    The declining productivity under rain-fed
sibly even subsidization at first, of fertilizer usage,      farming systems is attributed mainly to low and
to restart the basic ingredient of modern agriculture;       fluctuating rainfall (Figure 3.2.5). Natural resource
without this, yields of wheat and every other crop           mismanagement problems without a counteracting
will remain at unacceptable levels.                          action on crop management practices such as the
                                                             use of drought-tolerant varieties, water-harvesting
Cereals                                                      techniques, or appropriate crop rotations add to the
                                                             problem. There is also some impact from land and
Sorghum is the main staple crop grown in Sudan,              soil fertility degradation. This is to be expected due
covering about 40 percent of the whole cultivated            to the expansion of the cultivated area at the expense
area of the country. The average area under sor-             of natural vegetation cover and mono-cropping
ghum cultivation was 21.2 million feddan between             practices, especially under mechanized farming in
2008 and 2014, occupying about 40 percent of the             Eastern Sudan.
total cultivated area. The average annual production              Millet is the main staple food in Western
between 2008 and 2014 was around 3.4 million                 Sudan and has an average area under production
tons with an average yield of 160 kilograms per              of about 8 million feddan located mostly in the
feddan (Figure 3.2.1). The irrigated farming system          lighter soils of Western Sudan. Millet production
produced 20 percent of total output of sorghum in            in 2014 is estimated at 359 thousand tones, which
Sudan, while the mechanized rain-fed system and              is very low compared to previous seasons, primarily
traditional farming systems produced 45 and 35 per-          due to low rainfall (Figure 3.2.6). Around 93 per-
cent respectively. The production of the sorghum             cent of the millet crop is produced by the traditional
crop experienced continued fluctuations in area and          rain-fed sector, of which 66 percent comes from
yields due to dependence on unpredictable rains,             Darfur states and 24 percent come from Kordofan.
recurrent occurrences of droughts, pest infestation,         These states have large sandy areas that are classi-
and the general lack of application of fertilizer and        fied as marginal lands with low rainfall creating an
other inputs (Figure 3.2.1).                                 environment unsuitable and unfavorable for the
    Sorghum yields are generally on a downward               cultivation of crops other than millet.
trend, however, farmers were able to slightly                     Millet production is particularly low yielding
increase the yields for irrigated sorghum between            in Sudan. The main problem related to millet is low
2002 and 2014. Irrigated sorghum has had some                productivity, which is averaging less than 100 Kg/
improvement in productivity from 887 to 918 kg/              feddan per year. Low productivity is a result of low
fed (+3.5 percent; Figure 3.2.2), but mechanized             inputs, which is not only a practice in Sudan but the
rain-fed sorghum yields decreased from 195 to 166            entire Sahel region. Usually, there are no purchased
kg/feddan (–15 percent; Figure 3.2.3). Traditionally         inputs used (such as fertilizers) and also labor inputs
produced sorghum yields decreased also from                  for millet production are limited. The main determi-
256 to 151 kg/feddan (–41 percent; Figure 3.2.4).            nant for production in such an opportunistic system
Productivity of sorghum in the irrigated sector is far       is rain. Millet is one of the few crops that can thrive
better than in mechanized and traditional systems            with such low levels of inputs, hence the practice
due to use of improved varieties and plant nutrition         has developed. However, under a program called
technologies developed by the Agricultural Research          “millet genetic sources,” the ARC has developed new
Corporation (ARC) and fertilizer supply by produc-           improved varieties of millet characterized by higher
tion schemes, obviously in addition to the effects of        yields; extending them to farmers could improve
water availability.                                          yields significantly.
76      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 3.2: Agriculture Yields in Sudan, Sorghum and Millet
                          1) Sorghum area, production and yields                                                   2) Sorghum yields (kg/fed) by irrigated production
     30,000                                                                               250    1,000

     25,000                                                                               200      950

     20,000                                                                                        900
                                                                                          150
     15,000                                                                                        850
                                                                                          100
     10,000                                                                                        800

      5,000                                                                               50       750

           0                                                                              0        700
                2008       2009 2010 2011 2012 2013 2014                                                     Gezira            Rahad    New Halfa River Nile   Average
                           Area ('000 fed)       Production ('000 tons)                                                       Av. 2002–2008      Av. 2009–2014
                                    Yield (kg/fed) (right-hand axis)

           3) Sorghum yields (kg/fed) by mechanized rain-fed production                                  4) Sorghum yields (kg/fed) by traditional rain-fed production
     350                                                                                          350
     300                                                                                          300
     250                                                                                          250
     200                                                                                          200
     150                                                                                          150
     100                                                                                          100
      50                                                                                           50
       0                                                                                            0
               Sennar



                             W. Nile



                                         B. Nile



                                                    Gadarefe



                                                                S. Kordofan



                                                                                Average




                                                                                                          Sennar

                                                                                                                     Gezira

                                                                                                                               W. Nile

                                                                                                                                         N. Kordofan

                                                                                                                                                         S. Kordofan

                                                                                                                                                                        N. Darfur

                                                                                                                                                                                    S. Darfur

                                                                                                                                                                                                W. Darfur

                                                                                                                                                                                                            Average
                               Av. 2002–2008         Av. 2009–2014                                                            Av. 2002–2008                            Av. 2009–2014

                        5) Rainfall rate and sorghum and millet yields                                                   6) Millet area, production and yields
     500                                                                                        10,000
                                                                                                                                                                                                                 150
     400                                                                                         8,000
                                                                                                                                                                                                                 150
     300                                                                                         6,000
                                                                                                                                                                                                                 100
     200                                                                                         4,000

     100                                                                                                                                                                                                         50
                                                                                                 2,000

       0                                                                                            0                                                                                                            0
                  2010                 2011             2012                  2013                        2008         2009          2010              2011            2012         2013            2014
                        Average rainfall (mm)            Sorghum yield (Kg/fed)                                        Area ('000 fed)       Production ('000 tons)
                                          Millet yield (Kg/fed)                                                                 Yield (kg/fed) (right-hand axis)

     Source: World Bank staff own calculations, based on data from the Central Bank of Sudan; and the Sudan Ministry of Agriculture and Irrigation
     Notes: (2), (3), and (4): Average 2008–2014 does not include 2011 and 2012 due to a lack of data.
                                                           Agriculture and livestock: key for economic diversification             77




     Wheat is a crop that is not native to Sudan,             in nominally irrigated areas like Gezira are indica-
but the government encourages its production                  tive of serious deficiencies in irrigation effective-
to reduce imports and reliance on foreign sup-                ness. Groundnuts were exported in large quantities
pliers. The wheat production area is small (with              in the past but their relative importance in export
only 440,000 feddan), as is production and yields             trade has declined substantially due to increase of
(Figure 3.3.1). In fact, it is clear that Sudanese wheat      local consumption and demand. In addition there
yields are among the lowest in the world, if not the          are strict quality standards required by importing
lowest (Figure 3.3.2). Pavlodar in Kazakhstan is              countries because of the Aflatoxin problem.38 Any
on the Siberian border with winter temperatures               inability to meet those standards damages Sudan’s
below –40 Centigrade and a very short growing sea-            reputation in the international market.
son. Farmers there use almost no fertilizer, like the              Sesame is produced under both mechanized
Sudanese, but their yields exceed Sudan’s. Kyzlorda           and traditional production systems, but yields
in southern Kazakhstan is a desert province, with             are low and fluctuating in both systems. The vast
irrigation; wheat is nominally irrigated in Sudan             majority of sesame fields (about 80 percent) are
as well. The problem behind low yields for wheat              about 5 feddan in area. In these fields, sesame is
in Sudan is most likely lack of day-length varia-             grown under the traditional farming system with
tion. Given those constraints to wheat production             little or no use of machinery or modern inputs.
in Sudan, the government may want to rethink its              Figure 3.3.4 shows that mechanized sesame yields
policy emphasis on the crop.                                  varied from 86 to 121 kg/fed compared with 80
                                                              to 112 kg/fed for traditionally produced sesame
Oil seeds                                                     during the period 2002 to 2014. While yields of
                                                              mechanized rain-fed sesame production are declin-
The major oil seed crops in Sudan are sesame,                 ing in most areas, overall mechanized production
groundnuts, and sunflower, which are produced                 has still an average of 107 kg/feddan as compared
under irrigated and rain-fed conditions. Sesame               with an average of 96 kg/feddan for the tradition-
production and exports are very important for                 ally produced crop. Very low and fluctuating yields
Sudan’s economy. Other oil seed crops, namely,                under both systems are largely due to lack of water
groundnuts and sunflower are important for local              and fertilizer.
consumption and processing; groundnuts share in                    Sesame yields in Sudan compared to other
total export in recent years is negligible, and most          major producing countries are very low.
of the production is consumed domestically. The               Productivity is equivalent to 18, 27, 58, and 51 per-
same is true for sunflower. Oil seeds are produced            cent of productivity in China, Ethiopia, India, and
under irrigated and rain-fed conditions but the bulk          Nigeria, respectively. Enhancement and stabiliza-
of production is rain-fed.                                    tion of yields in both production systems would
     Groundnut is grown under irrigated and rain-             significantly improve the welfare of rural Sudanese.
fed systems and its yield patterns are indicative             Sesame is a relatively high value crop, with a stable
of the significant differences between irrigated              world market in which Sudan plays a relatively
and rain-fed productivity. The average yield under            strong role. It is thus important that yields be lifted,
irrigation was 1,072 kg/fed compared with 187 kg/             first through higher fertilizer applications, then
fed through rain-fed in 2014. However, productiv-             through supplemental irrigation where possible.
ity is fluctuating, and during the period 2002 to
2014 evidenced a declining tendency under both                38
                                                                 Naturally occurring mycotoxins that are produced by Aspergillus
farming systems. Indeed the wide swings in yield              flavus and Aspergillus parasiticus, species of fungi.
78        COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 3.3: Agriculture Yields in Sudan, Wheat, Oil Seeds, Gum Arabic, Cotton and Livestock
                          1) Wheat area, production and yields                                         2) Sorghum yields (kg/fed) by irrigated production
     1,200                                                                    1.0     8,000
                                                                                      7,000
     1,000                                                                    0.8     6,000
       800                                                                            5,000
                                                                              0.6     4,000
       600                                                                            3,000
                                                                              0.4     2,000
       400
                                                                                      1,000
       200                                                                    0.2         0




                                                                                               Sudan

                                                                                                           Ethiopia

                                                                                                                        Egypt

                                                                                                                                 Libya

                                                                                                                                         Chad

                                                                                                                                                  Kazakhstan

                                                                                                                                                                 Pavlodar

                                                                                                                                                                               Kzylorda
           0                                                                  0.0
                 2008      2009       2010       2011       2012     2013
                         Area ('000 fed)       Production ('000 tons)
                                  Yield (kg/fed) (right-hand axis)                                                              2012       2013

                      3) Ground nut yields (kg/fed) irrigated vs. rain-fed                             4) Sesame yields (kg/fed) mechanized vs. rain-fed
     1,600                                                                              140
     1,400                                                                              120
     1,200                                                                              100
     1,000
                                                                                         80
       800
                                                                                         60
       600
       400                                                                               40

       200                                                                               20
           0                                                                              0
                           Irrigated                         Rain-fed                                     Mechanized                                   Rain-fed
                 Av. 2002–2008          2009          2010      2013         2014               Av. 2002–2008                   2009      2010                 2013            2014

                           5) Gum arabic production (’000 tons)                                         6) Cotton yields (kg/fed) by irrigated production
     80                                                                             10,000
     70
                                                                                      8,000
     60
     50                                                                               6,000
     40
     30                                                                               4,000
     20
                                                                                      2,000
     10
      0                                                                                   0
               2008       2009         2010       2011        2012      2013                   Gezira           Rahad New Halfa          Suki              Tokar            Average
                               Hashab         Talha          Total                                                    Av. 2002–2008        Av. 2009–2014

     Source: World Bank staff own calculations, based on data from the Central Bank of Sudan; the Sudan Ministry of Agriculture and Irrigation; and selected
     World Bank Agriculture Country Reports.
     Notes: (6): Average 2009 – does not include 2011 and 2012 due to a lack of data.
                                                                                                                                  (continued on next page)



     Gum arabic                                                                     borders with Chad and Central Africa, covering an
                                                                                    area of 500 thousand square kilometers. Gum ara-
     The gum arabic belt extends from the eastern                                   bic extends over 12 states in Sudan, with some areas
     borders of Sudan with Ethiopia to the Western                                  more productive than others, namely the traditional
                                                                                Agriculture and livestock: key for economic diversification                         79




FIGURE 3.3: Agriculture Yields in Sudan, Wheat, Oil Seeds, Gum Arabic, Cotton and Livestock
                  (continued)
        7) Cotton yields (kg/fed) by traditional rain-fed production                                8) Population and exports of animal species, 2012
600                                                                                       40       39.5                                                       500
                                                                                          35
500                                                                                                                              30.8                         400
                                                                                          30                   29.8
400
                                                                                          25                                                                  300
300                                                                                       20
                                                                                          15                                                                  200
200
                                                                                          10
100                                                                                                                                                           100
                                                                                            5                             4.8

   0                                                                                        0                                                                  0
         Sennar          Blue Nile      S. Kordofan     Average                                   Sheep Cattle Camel             Goats Hides/skins Meat
                     Av. 2002–2008        Av. 2009–2014                                          Population (mn) (left axis)       Exports (USD mn) (right axis)

                                                     9) Livestock production, 2011–2012 (’000 tons)
                                       1,500      1,427                             1,456                             4,350


                                                                                                4,318
                                       1,000

                                                                                                                      4,300

                                         500                 4,273


                                                             40   38     78                 45     40     80
                                            0                                                                         4,250
                                                              2011                              2012
                                        Meat       Poultry        Eggs        Hide and skins            Milk (right-hand axis)

Source: World Bank staff own calculations, based on data from the Central Bank of Sudan; the Sudan Ministry of Agriculture and Irrigation; and the Sudan
Ministry of Livestock and Fisheries.
Notes: (7): Average 2009–014 does not include 2011 and 2012 due to a lack of data.




farming areas in Northern and Western Kordofan, and                                 to 50,000 tons per year, providing 80 percent of
parts of the Blue Nile state. There are an estimated five                           global supply. Back then, the remainder was sup-
million people directly involved in forestry activities                             plied by Nigeria and French West Africa each pro-
such as gum picking, gum collection, and charcoal                                   viding around 5 to 10 percent of supply (3,000 to
and firewood collection. Sudan produces high qual-                                  6,000 tons). Sudanese gum arabic supply declined
ity (hashab) which comes from Acacia Senegal, and a                                 from the 1970s to the 1990s, falling into the range
lower grade (Talha) harvested from Acacia seyal but                                 of 15–25,000 tons, with parallel increases in sup-
with the same unique properties as an emulsifier.                                   ply from West African origins, primarily Nigeria
     Sudan is the world’s largest producer of gum                                   and Chad, which increased their export capacity to
arabic, but its domination has declined from once                                   10,000 tons (World Bank 2015a). In the mid-2000s,
more than 80 percent of world production in the                                     annual production of Sudan started to recover, bring-
1960s to about 50 percent now. In the 1960s and                                     ing it closer to the averages of the 1960s and 70s.
70s production and supply was dominated by Sudan                                        Estimated production of Sudanese gum arabic
with annual production typically in the range of 40                                 has seen a renaissance since 2008. Staff estimates
80     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     suggest that production exceeded the 30 thousand             Sudan, and in the Nuba Mountains area of Western
     ton mark in 2008, and further increased to 50 thou-          Sudan. The bulk of Sudan’s cotton production is in
     sand tons and beyond between 2009 and 2012                   the irrigation schemes, especially the Gezira Scheme.
     (Figure 3.3.5). Latest estimates available for 2013               After a number of years with declining yields
     suggest that production reached 75 thousand tons.            and production of cotton, cotton production has
     And this is probably still far below potential output        been on the rise again since 2010. In the years
     of gum arabic in Sudan: The production potential             2006–2010 area, yields, and production of cotton
     with current gum arabic trees (hashab and talha),            sharply declined (Figure 3.3.6). There has been
     as speculated by Abdel Gadir39 in 2013, can reach            a remarkable recovery of cotton yields, area, and
     about 200 thousand tons, so there is considerable            production in the years 2010 to 2014, which coin-
     scope to expand production.                                  cides with the break-up of the monopolized (and
          There is considerable scope to increase pro-            extortionate) marketing of cotton by the Sudan
     ductivity in gum arabic, and potentially to move             Cotton Company. There is reason to believe that
     towards a higher level of processing within the              the recovery was triggered by the break-up of the
     country. Farm research results have shown that pro-          monopoly, particularly since there were no other
     ductivity per tree can be considerably increased by          noticeable improvements in irrigation performance,
     47–60 percent, while quality can also be improved            for instance, or agricultural credit, extension, and
     through better tapping methods. Improving the                research/breeding. Still, national average yields
     productivity of other crops will also be conducive to        doubled from 500 kg/fed in 2009 to 1,014 kg/fed in
     boosting gum arabic production due to the poten-             2014. Both the experiences of cotton and gum arabic
     tial for longer rotations and expanded areas. With           suggest that no technical improvements will make
     better technology and marketing policies, gum ara-           a difference until incentives to farmers are right.
     bic production and export supply can be raised to
     its former levels in a sustainable manner. Box 3.3           Livestock production
     provides some lessons from recent experiences in
     policy changes in Sudan on gum arabic production.            Livestock are raised in almost all parts of Sudan,
     In addition, gum arabic is one of the few current            but mostly concentrated in western Sudan
     agriculture products that potentially could be used          (Kordofan and Darfur states) and owned by
     to advance agriculture processing for higher value           nomadic tribes. There are three systems of livestock
     addition (World Bank 2015a). Chapter 4 of this               production in Sudan; 1) animal production under
     report will look into this in more detail.                   natural range systems; 2) animal production in the
                                                                  irrigation schemes and riverine farms; and 3) animal
     Cotton                                                       production under commercial systems, e.g., ranches,
                                                                  dairy and poultry farms, and feedlots. However, most
     The commercial cotton industry in Sudan dates                of the livestock population in Sudan is raised on the
     back to the colonial period, where cotton was                natural range, which is hence the focus of this section.
     grown to provide ginned cotton to the British                     There are three main livestock species raised
     textile industry. Cotton is grown under various              and marketed in Sudan with a total of over
     topographical and environmental conditions, uti-             100 million heads. The pastoral system of animal
     lizing various methods of irrigation and using dif-          production is no longer a quaint residual of the dis-
     ferent applications of chemical inputs. The major            tant past, but a serious economic business well worth
     producing areas in Sudan are Gezira, Rahad, New
     Halfa, Suki, Blue Nile, White Nile, Tokar of Eastern         39
                                                                       Secretary General of the Gum Arabic Council
                                                                           Agriculture and livestock: key for economic diversification                 81




  BOX 3.3: Recent Policy Changes in Gum Arabic and Their Impact
  Over the past decade gum arabic trade was successfully liberalized. The gum arabic trade was liberalized with the removal of the
  Gum Arabic Company (GAC) concessions on the marketing and export of raw gum arabic and the suspension of the floor price
  system. The Gum Arabic Board (GAB) was established to coordinate reform measures and support the regeneration of the sector.
  The main objectives of the GAB are similar to the former GAC, without monopoly power or concessions. GAB is responsible for
  promoting gum arabic exports, opening new markets, and providing finance services and quality control. Further reform measures
  have eliminated 13 taxes and charges that had been levied on gum arabic (World Bank 2014e). Following these reforms there is a
  sign of production recovery with production estimated to have reached 75 thousand tons in 2013 (Figure 3.3.5). The key incentive
  for the farmers was their ability to get a more significant share of the final FOB export price when selling at central market auctions.
  This said, there is still a concern that profitability is reduced through individual States levying taxes and other charges without
  providing a service.
     A Government project to provide microfinance and technical assistance to the poorest gum arabic producers was established
  in 2010. The Government in 2010 established the Gum Arabic Project, known as “Revitalizing the Sudan Gum Arabic Production &
  Marketing Project.”a This project aims to improve the earning capacity of the poorest gum producers through providing microfinance
  and technical assistance. The main purpose of the Project is to support members of Gum Arabic Producers Associations (GAPAs) in
  five states (South Kordofan, North Kordofan, White Nile, Sennar, and Blue Nile). The project adopted the strategy of building up GAPA
  members’ technical, managerial, and financial capabilities to increase production through access to new markets, micro-finance, and
  more opportunities for up-to-date knowledge via exchange visits and cross fertilization of ideas. About 130 associations in five states
  are participating in the project, with a membership of 11,346 farmers, 25 percent of whom are women.
     Preliminary results of the project show that it has been very successful and the income levels of beneficiary households have
  increased by 65 percent. The percentage of the gum price received by small gum producers has increased from 15 to 50 percent
  due to the exclusion of middlemen from the chain. Other positive impacts include higher production levels and better gum prices.
  The project also enhances the knowledge and skills of gum producers, resulting in well-organized GAPAs with active members. All of
  this is leading to a noticeable improvement in the living conditions of producers and their families, as well as the crucial reforestation
  of the gum belt.
     The question now is how to replicate the activities of the 2010 project in other states in order to reach the highest possible number
  of potential gum arabic producers. In 2014, the government signed for a new agreement with the French development agency to
  finance activities similar to the projects. But more is needed to maximize impact across states. Another avenue of support also comes
  through the Gum Arabic Council, which has many programs and efforts to develop gum arabic production and trade. Support includes:
  the formation of export finance portfolios (export finance increased from SDG50 million in 2009 to SDG250 million in 2013); promotion
  of quality assurance through symposia, local media and printed materials; promotion of the use of gum arabic in local industry (local
  consumption increased from 500 tons in 2008 to 10 thousand tons in 2013); opening-up of new international markets such as China
  and Malaysia; and support of gum arabic research. The Gum Arabic Council has also followed-up the implementation of a presidential
  decree of planting 10 percent area in each rain-fed agricultural project with gum arabic trees. The program is progressing in Gedaref
  state as 50 thousand feddan was covered, and another 50 thousand feddan is expected to be covered in 2014. The council is working
  to promote the implementation of the decree in other states.
  a
      The project is financially supported by World Bank (Multi Donor Trust Fund (MDTF)) and International Fund for Agricultural Development (IFAD).




being preserved and nurtured. Figure 3.3.8 shows                                     Contrary to commonly held belief the ratio-
the three main species sheep, cattle, and camels and                            nale for pastoral livestock is less grounded in sat-
Figure 3.3.9 shows the associated output from them.                             isfying basic needs, such as searching for water
Together with the smallest and easiest to manage                                to drink, and more due to the unique economic
small ruminants (goats), the total population is over                           benefits of engaging in pastoral production. The
100 million head of live animals. A few unique trends                           basic reason for the existence of pastoralism that
emerge from Figure 3.3.8: First, there is an enormous                           drives herders to take their herds to different regions
export of live sheep with an export value of almost                             is less absolute necessity, in terms of water to drink
US$500 million in 2012. Somewhat lower, but still                               and vegetation to eat, simply to keep them alive. The
impressive are the exports of camels and hides and                              reality is more complex than that, at least according
skins, together worth almost US$175 million.                                    to a study several decades ago (Wilson and Clarke
82     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     1976), but in the same Darfur region which still             pastoralism is so successful there is surpris-
     figures as one of the heartlands of Sudanese pastoral-       ingly little policy attention on the sector. This is
     ism. These results, reported by the Tufts University         important in part due to the interlinked issues of
     team in 2013, include the following (Tufts, 2013):           land tenure and land policy (Box 3.1), which need
                                                                  to be solved to sustain pastoral livestock production
     a.	 The animal calving rate was 65 percent in migra-         into the future. But there are also other issues, such
         tory herds and 40 percent in sedentary herds;            as inherent volatility of the sector and the possibil-
     b.	 Sixty-five percent of all migratory heifers calved       ity that it could be negatively affected by droughts
         at under four years of age, while only 29 percent        and diseases. Hence there is a need for more policy
         of sedentary heifers did so;                             focus on a better, forward-looking management of
     c.	 Total mortality was 15 percent per annum in              the sector (World Bank 2015b).
         migratory herds and 35 percent in sedentary                   A large source of value-added from pastoral-
         herds, while calf mortality was 11 percent in            ists, which is generally unaccounted for, is the
         migratory and 49 percent in sedentary herds; and         usage and trade of surplus milk. Surplus milk
     d.	 Meat production per kg of migratory breed-               arises from the fact that there is milk that is beyond
         ing females was about twice that of sedentary            the needs of the calves of the herds. Anecdotal evi-
         breeding females.                                        dence suggests that this milk is carried out primarily
                                                                  by women and used not only for family subsistence.
          In other words, pastoralism is an effort to             It is also sold, or exchanged with farmers, often for
     maximize, rather than merely survive, and in                 grain. Informal estimates of the economic value of
     this it appears to be successful. The superiority            this trade suggest that this activity is worth beyond
     of pastoral livestock in Sudan appears to be in that         US$1 billion a year.
     pastoralists consistently use natural resources more              Processing of meat and meat products for
     intensively and hence are able to produce more live-         exports would be desirable as a higher-value
     stock products per unit of land area. Later studies          added activity, but with only four large slaugh-
     replicated similar findings to the ones reported by          terhouses in Sudan and none of them certified
     Wilson and Clarke (1976) for Sudan and the rest              to international standards, exporting meat is
     of Africa. Superiority of pastoralists over sedentary        impossible. There is also likely that there is
     farming may be due to the constant optimization by           insufficient current foreign demand for meat. The
     experienced herders of the pasture forage their herds        lack of certified slaughterhouses is one important
     graze. Behnke (2012) found that fenced pastures              factor behind the fact that most of Sudan’s livestock
     south of Nyala (now in South Darfur) lost 75 percent         exports are exported live. Exports consist primarily
     of their feed value (largely due to consumption by           of sheep to Saudi Arabia and camels to Egypt. But
     termites and loss of digestible protein due to volatil-      an important other factor is also that a large share
     ization) if left ungrazed from September to the end          of the exports have to be live, since they are used to
     of the dry season in May. Similar findings are avail-        fulfill the religious obligation for families to sacrifice
     able for Mali, Ethiopia, Kenya, Botswana, Zimbabwe,          a sheep for Eid ul Adha. Many of the sheep will also
     and Uganda. As a result, pastoralists consistently use       be slaughtered for the Hajj season, for the millions
     natural resources more intensively and produce more          of pilgrims to Saudi Arabia’s west coast. So there
     livestock products per unit of land area than do sed-        is considerable uncertainty about the size of the
     entary farmers, indeed even commercial ranchers.             potential export market for meat, at least when con-
          Given the unique performance of the                     sidering the current two main destinations: Saudi
     livestock sector in Sudan and the fact that                  Arabia and Egypt.
                                                            Agriculture and livestock: key for economic diversification                 83




C.  Markets and Trade                                          shows that the average size of live animals export-
                                                               ers grew from US$500 thousand in 2008 to US$2.6
Agriculture trade has increased significantly                  million in 2012, almost doubling between 2011 and
between 2008 and 2013. After many years of decline             2012. Most of the growth in exporter size was due
(World Bank 2009b), agricultural exports are regain-           to the size of incumbents, i.e. existing exporters,
ing their position after the large decline of oil exports      rather than growth of new active exporters. This sug-
since 2011. Agricultural exports values showed an              gests that new entrants may find it difficult to enter
increasing trend from US$329 million in 2008 to                the market, possibly due to market entry barriers
US$1,626 million in 2013 (Figure 3.4.1), and its               and costs associated with getting into the livetsock
share in total export rose from only 3.3 percent               export business.
in 2008 to almost 23 percent in 2013 (the relative                  The international markets for Sudanese live-
increase is of course also a consequence of declining          stock exports are concentrated in Arab countries.
total exports since oil’s fall). This improvement is           Most of live sheep exports go to Saudi Arabia, which
mainly led by good performance of major agricultural           accounts for more than 50 percent of livestock
export products like livestock, sesame, gum arabic,            exports from Sudan. Egypt is the main destination
and cotton. However, the agricultural trade balance            of live camel export (primarily as beasts of burden),
remains negative due to the high food imports bill,            primarily through border trade. Meat is destined
which mainly goes for imports of wheat and wheat               mainly for the United Arab Emirates, Egypt, Qatar,
flour, sugar and vegetables, and animal oil.                   and Jordan, but with a downward trend due to high
                                                               competition, especially from Australia and Brazil.
Livestock exports                                              Hides and skins are sold to a wide range of coun-
                                                               tries including United Kingdom, China, United Arab
Livestock exports have rapidly become an impor-                Emirates, Turkey, and Saudi Arabia.
tant part of Sudan’s foreign trade and reached a                    The fact that there is no recent registered
total export volume in excess of US$670 million                ban imposed on the import of sheep and goats
per year in 2013. Figure 3.4.2 summarizes Sudan’s              from Sudan by Saudi Arabia reflects progress.
recent export values of livestock products. There              Bans on Sudanese exports were in place prior to
has been more than a tenfold increase by 2013                  2007, but not since (World Bank 2014e). This is
compared with 2008 (which was an outlier due to                an achievement of the health program adopted by
an imposed export ban and quarantine measures).                the Government of Sudan and recognized by the
Live sheep exports dominate the picture, represent-            Government of Saudi Arabia regarding vaccina-
ing more than 70 percent of livestock export. Next             tion and inspection for exported sheep (Table 3.1).
in importance is the export of live camels and hides           Recognition of the programs extends to the 17
and skins, which both are about 14 and 10 per-                 GAFTA markets (World Bank 2014e).
cent, respectively, of livestock export. Meat export                But a number of major constraints to live-
fluctuate greatly which is largely a reflection of the         stock exports persist (Tufts 2013; and World
inability of Sudanese meat to compete with other               Bank 2014e). First, numerous animal migration/
suppliers especially to the Gulf region, due to high           transport routes are blocked by allocations of land
cost, lack of modern export facilities, quality con-
siderations, and unsustainable supply.40                       40
                                                                 No cold or frozen meat is exported from Sudan because of inad-
    Livestock exports is a growing business for                equate abattoirs, handling, and transport facilities for chilled meat.
existing exporters. An examination of statistics               Small assignments of whole carcasses of sheep and goats and quarter
                                                               carcasses of beef are exported through special arrangement between
from the World Bank’s Exporter Dynamics Database               exporters and importers.
84     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     Table 3.1: Vaccination and Inspection Regime for Sheep Exports
      Location/timing                                Activities
      Inspection and vaccination close to            First veterinary inspection and vaccination. Animals held in an inspection center under observation for
      production area                                7–10 days.
      Entry into a quarantine area                   Second inspection at inland quarantine station by veterinarians. Blood sample taken from every
                                                     animal for brucellosis testing. Animals held for 7–10 days.
      Inspection on the way to the port              Third animal inspection in quarantine area by veterinarian. The group of animals receives three
                                                     certificates: for number of animals, free from infectious and noninfectious diseases, and for animals in
                                                     good health.
      Prior to loading on ships                      Fourth inspection seven days prior to shipment. Animals are held in quarantine and inspected to
                                                     verify that they have no evidence of infectious or noninfectious disease and not generally weak.
     Source: World Bank (2008b); and World Bank 2014e.



     to mechanized farming, which is often unprofitable.                          in 2014 are US$2,135/ton for sesame from Sudan
     Second, the reliance on local breeds lowers relative                         compared to US$2,050/ton for sesame from Ethiopia
     productivity and increases cost. However, these                              and US$1,900/ton for sesame from Nigeria.41
     local breeds are also in great demand in importing                               Sesame exporting, like any other oil seed, is
     countries. Third, multiple charges and fees imposed                          a business dominated by large existing export-
     by local authorities also raise cost of production in                        ers; new entrants into the markets are facing real
     Sudan. Fourth, weak services for transportation,                             difficulties. Sesame accounts for about 50 percent
     storage and cooling, packaging and technology for                            of Sudan’s oil seed exports. Looking at the World
     meat processing. Fifth, there is a shortage of skilled                       Bank’s Exporter Dynamics Database shows that not
     human resources and administrative capability to                             only the number of entrants into oil seed exports
     provide extension and veterinary services to reduce                          declined between 2009 and 2012 but the entrants’
     the spread of diseases that may affect exports. Sixth,                       share in total oil seeds exports also fell dramatically
     domestic marketing is inefficient and there is only                          from 78 to 28 percent. This implies that entrants in
     a handful of international markets. The domestic                             2012 were fewer and substantially smaller than in
     market is dominated by broker’s men who impose                               2009. This indicates—similar to the livestock sec-
     multiple fees and charges, while international                               tor—that new entrants may find it difficult to enter
     markets are concentrated in few countries in Gulf                            the market, possibly due to market entry barriers
     region. Seventh, the availability and access to finance                      and costs associated with getting into the oil seed
     for small producers is not sufficient.                                       and sesame export business.
                                                                                      Sudan’s export markets for sesame are
     Sesame exports                                                               relatively well diversified and Ethiopia may be
                                                                                  considered the major competitor for Sudan (for
     Sudan exports about two thirds of its sesame                                 exports of African sesame producers). Sudanese
     production, and is among the main exporters                                  sesame has penetrated China, Europe, and African
     of sesame seeds worldwide. Sesame exports in                                 countries as well as traditional markets in the Gulf
     2008–2013 accounted for about 32 percent of agri-                            and Arab countries (Figure 3.4.4). Gulf and Arab
     cultural exports and about 3.3 percent of total export
     (Figure 3.4.3). Sesame exported from Sudan received
     favorable prices compared to other African export-                           41
                                                                                    The Sudanese sesame crop is distinguished for its high quality
                                                                                  compared to the sesame produced by other countries due to the
     ing countries because of high quality and grading                            country’s suitable environment and climate. Sudanese sesame seeds
     e.g., world prices declared by Sudan Trade Point                             are characterized by higher oil content and less acidity.
                                                                               Agriculture and livestock: key for economic diversification                          85




FIGURE 3.4: Sudan’s Agriculture Exports: Livestock, Sesame, Gum Arabic, Wheat and Cotton
              1) Agriculture trade performance (US$ mn)                                             2) Livestock export value by subsectors (US$ mn)
2,500                                                                  2,500         800

2,000                                                                  2,000
                                                                                     600
1,500                                                                  1,500
                                                                                     400
1,000                                                                  1,000
                                                                                     200
  500                                                                  500

    0                                                                  0                 0
         2008      2009         2010   2011      2012        2013                              2008        2009       2010        2011        2012      2013
                   Export value          Food import value                                                 Sheep          Goats      Camels
                            Agriculture trade deficit                                                       Cattle         Meat       Hides and skins

                3) Sesame export value and quantities                                         4) Key destinations for Sudan‘s sesame exports (US$ mn)
                                                                                 120,000
  400                                                                  40%       100,000

  300                                                                  30%        80,000

                                                                                  60,000
  200                                                                  20%
                                                                                  40,000
  100                                                                  10%
                                                                                  20,000

    0                                                                  0%                0
         2008      2009         2010   2011      2012        2013                               Eu        Turkey    COMESA ALG + TUN          Asia      Arab
         Quantity (‘000 tons)          Sesame (% of total ag export)                                                  2012          2013
         Value (US$ mn)                Sesame (% of total export)
                 5) Sudan‘s share in gum arabic trade                                                 6) Cotton export value and quantities
  200                                                                  50%         150                                                                      2,500

                                                                       40%                                                                                  2,000
  150
                                                                                   100
                                                                       30%                                                                                  1,500
  100
                                                                       20%                                                                                  1,000
                                                                                    50
   50
                                                                       10%                                                                                  500

    0                                                                  0%            0                                                                      0
         2008      2009         2010   2011      2012        2013                            2008      2009        2010      2011      2012      2013
              Sudan ('000 tons)      Rest of World ('000 tons)                               Export quantity ('000 Bales)      Export value (US$ million)
                      Sudan share in World Exports (%)                                                Export unit price US$/bale (right-hand axis)

Source: World Bank staff own calculations, based on data from the Central Bank of Sudan; the Sudan Ministry of Agriculture and Irrigation; the Gum
Arabic Council; and UNCTAD.




countries are the major importers of sesame from                                      The marketing of oilseeds from farm gate to
Sudan with a share of more than 34 percent in 2012,                               the final consumer depends on the Sudanese state
followed by China with a share of 25 percent.                                     of origin. Sesame is produced in different qualities
86     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     and can be sold as grain (usually white sesame) or           Gum arabic exports
     crushed for oil (usually produced from the lower
     quality red sesame). For sesame produced in Sennar,          Gum arabic falls under the trade embargo
     and in North Kordofan, the majority of sesame grow-          imposed by the U.S. sanctions, but trade with
     ers sell their seeds within two or three weeks after         it is possible through a specific license (World
     harvest to an assembler or village collector who is          Bank 2015a). While gum arabic is not covered by
     also often a trader. Only a small portion of sesame          either an exemption or general license, American
     growers (large commercial farmers) have storage              companies wishing to import gum arabic from Sudan
     facilities and can wait for better prices. The village       can apply for a specific license. In November 2000,
     collector then sells the seeds to local processors of        Congress adopted legislation to require the Secretary
     sweet sesame paste (Tahania) or to traditional local         of the Treasury to consider approving licenses for
     oil processors. The rest of the sesame seeds are deliv-      the import of gum arabic from Sudan. As a result,
     ered to auction markets where traders buy the seeds          Gum arabic became an exception to the compre-
     to sell it either to the export market or to local oil       hensive trade restrictions imposed by the United
     and paste processors, or producers of livestock cake.        States Executive Branch.
     The processed products42 are sold to the wholesal-                Gum arabic exports performed strongly
     ers or retailers before reaching domestic consumers.         between 2008 and 2013. Figure 3.4.5 shows the
          Sesame farmers receive about 78 percent                 good gum arabic export values and quantities since
     of the final FOB export price. In Gadarefe the               2008. This was mainly because of increased domestic
     sesame farmers receive about 78 percent of the final         production stimulated by reform measures (liberal-
     FOB export price if they sell to local village assem-        ization of gum arabic market and removal of monop-
     blers. The major marketing costs between “farm               oly) adopted by the Government, and also the increase
     gate” and the export point at Port Sudan consist             in local processing of gum arabic. The sharp increase
     of transport costs (28 percent), various certificate         in gum arabic export in 2013 was due largely to the
     fees (5.2 percent), state tax (1.8 percent), and port        boost in domestic production as a result of a good
     charges (3.2 percent). The handling costs at Port            rainy season and expanded production and export
     Sudan and Gadarefe are about 18 percent of all               finance, better world prices and promotion efforts
     marketing costs.43                                           exerted by the Gum Arabic Board via participation
          The buying prices at the central market are             in international fairs and membership in the AIPG.
     very high, allowing farmers to receive about                      The market for gum arabic trade is domi-
     93 percent of the final FOB export price, and                nated by a few countries. The European Union
     reduce exporter return to only 2.4 percent. This             is the biggest importer of gum arabic with France,
     is a very specific feature of the Sudanese market,           Germany and UK as major importers and re-export-
     which potentially affects the overall competitiveness        ers of processed gum arabic. The United States is
     of Sudanese sesame in the world markets. Imagine             the second large importer of gum arabic followed
     a situation where the buying price at the central            by Japan. There are emerging new markets for gum
     market increases by 5 percent above the current              arabic in India, China and South Korea. In 2012,
     level. This would then exceed FOB price valued at
     the official exchange rate (SDG5.9/US$, at time of
                                                                  42
                                                                     Local processors (asarat) that cater to local needs are found in
     2014 fact finding), hence, negative net return for           different regions and states. The rural population usually prefers the
     exporter. However, the sesame exporters can com-             sesame oil from local sesame processors, because of its higher quality.
                                                                  43
                                                                     World Bank staff were able to partly analyze the supply value chain
     pensate lower net return by using part of foreign            for sesame produced in Gadarefe and numbers reported here are from
     exchange to import other commodities into Sudan.             this (incomplete) analysis.
                                                           Agriculture and livestock: key for economic diversification   87




France was by far the main importer of gum arabic             of gum arabic export, opening new markets, and
from Sudan with a share of more than 30 percent               providing finance services and quality control. The
(33.6 percent) followed by India 7 percent, Italy             adopted reform measures have had positive impacts
6.6 percent and United States of America 6 per-               on improvement of production, prices, and income
cent (Central Bank of Sudan, Annual Report 2012).             of gum producers as many taxes and charges imposed
There are other small importing countries of gum              on gum arabic have been abolished (about 13 out
arabic distributed between Arab countries (Saudi              of the 18 taxes and charges) (World Bank 2013c).
Arabia, Emirates), Asian countries (Pakistan) and                 As a result, gum arabic trade, production,
African countries (Egypt and Algeria).                        export and domestic prices were greatly enhanced
     For decades export marketing of gum arabic               after 2009. Liberalization has led to an increase in
was under the sole responsibility of the monopo-              production, export, and domestic prices (Figures
lized Gum Arabic Company. From 1969 to 2009                   2.3.5 and 2.4.6). Looking at the value chain for gum
the Gum Arabic Company (GAC) had the sole con-                arabic marketing from El Obeid to Port Sudan in
cession to export raw gum arabic. The main role of            2012 is informative. In 2012, gum arabic producers
the GAC was to preserve and monitor the quality of            received about 84 percent of the final FOB export
raw gum arabic exported and to support producers              price if sold at central market (auctions). The major
with production and extension services. The GAC               marketing costs from El Obeid to the export point at
had implemented a floor price system for gum at               Port Sudan consist of transport costs (48 percent),
buying centers (auctions). However, the monopoly              fees (19 percent), and port charges (23 percent).
of the GAC in gum arabic trade was widely regarded            These cost ratios have been declining since 2009 as
as the main reason behind the deterioration of gum            suggested by anecdotal evidence. As a result, there
arabic production and export in Sudan. Over many              is an improvement in the ratio of buying prices to
years, the low prices paid to producers (about 10–15          the FOB prices reflecting higher prices at auctions,
percent of export price) accompanied by poor sup-             which has a favorable impact on producers.
port services led farmers to cultivate crops other
than gum arabic. The GAC also faced administrative            Cotton exports
problems that led to inadequate international pro-
motion and marketing of gum arabic. In addition               The share of cotton in agricultural export sharply
there were other factors outside the company such             declined from 15 percent in 2008 to only 1.5 per-
as low involvement of banks in the gum arabic trade,          cent in 2012, but 2013 saw a sharp recovery. This
multiplied fees and taxes, and lack of strategic stocks.      is a result of a decrease in quantity exported from 139
     A decision was made in 2009 liberalizing the             thousand bales to only 13.4 thousand bales in 2012,
gum arabic trade and removing the concession                  despite improvement of world prices (Figure 3.4.6).
that granted monopolistic power to the GAC.                   In 2013, the cotton export largely recovered. But only
This bold move by the government liberalized the              short- and medium-staple cotton is exported despite
marketing and export of raw gum arabic. The floor             the fact that Sudan in the past was famous in pro-
price system was also suspended. Meanwhile, a deci-           duction and export of extra-long staple cotton. The
sion was taken to establish the Gum Arabic Board              sharp decline in export is due mainly to a reduction
(GAB) to coordinate reform measures and support               in area and production of cotton, especially in the
the revival efforts of the gum arabic sector. The main        Gezira Scheme. The deterioration of cotton produc-
objectives of the GAB were somewhat similar to the            tion and export has led to loss of traditional markets
former GAC, but without monopoly power or con-                for Sudan’s cotton, especially Europe. Sudan’s current
cession. Since then, GAB is responsible for promotion         markets for cotton are concentrated in a few countries
88     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     especially China and Egypt with a 2013 import share          away from sorghum and millet to wheat, often
     of 33 and 19 percent respectively.                           imported. This has led to a significant increase in
          Similar to the marketing of gum arabic, cot-            wheat imports, in quantity and value (Figure 3.5.1).
     ton marketing was in the sole hands of one state-            Sudan imported 1.9 million tons of wheat on
     owned entity—the Cotton Public Corporation                   average during 2008–2013 with average value of
     (CPC)—for many decades. CPC was established                  US$829 million representing about 43 percent of
     in 1970 to undertake marketing of all cotton pro-            total food imports. Wheat imports have exerted a
     duced in Sudan. In 1986 CPC was closed and the               heavy burden on Sudan’s meager and deteriorating
     Sudan Cotton Company Ltd (SCCL) was formed. In               foreign exchange resources and have worsened its
     1993 the ownership structure of SCCL was changed             negative trade balance.
     to let some private influence in, but the Government              In response, the government of Sudan pro-
     remained in charge. The then-new mixed sharehold-            motes domestic wheat production to reduce
     ers were made up of the Ministry of Finance, cotton          the reliance on imported food and to reduce
     farmer groups from the Gezira, Rahad, and New                expenditures on wheat imports.44 See Box 3.4
     Halfa irrigation schemes, the Sudan Pension Fund,            for a discussion of the interlinkages between food
     and the Farmers’ Commercial Bank.                            security, wheat self-sufficiency, and grain storage.
          But the role of central marketing in cotton             The government also indirectly subsidizes wheat
     exports is declining and the influence of market             imports through using the official exchange rate
     pricing has become stronger since 2011. Almost               (SDG2.9/US$) which is much lower than the offi-
     all cotton grown under irrigation over the last              cial rate (SDG5.9/US$), let alone the black market
     35 years has been sold on the world market by the            rate (between SDG8–9/US$). However, the cur-
     Sudan Cotton Company or its predecessors. This               rent Government policy is intending to gradually
     marketing mechanism meant that prices received               remove the subsidy and exchange rate distortions
     by cotton farmers in irrigated schemes were usu-             from imported wheat, which may increase prices
     ally one uniform price for each variety, after costs         and reduce consumption.
     of handling, ginning and marketing had been sub-                  The gradual phasing out of wheat subsidies
     tracted. But pricing policies have now changed and           considered by the Government is a good first step.
     cotton producers are paid on delivery at the “farm           World Bank (2015b) finds that the Government is
     gate” according to grade and type of cotton. There           not (yet) fully prepared to seize its policies in support
     were two triggers for this policy change: 1) the dete-       of the wheat sector. While the ultimate goal should
     rioration of cotton production; and 2) the changing          be to discontinue all subsidies for wheat in place and
     environment of production relations especially in the        let the market decide whether wheat production is
     Gezira Scheme. At the same time, the infrastructure          efficient in Sudan, an initial compromise may be
     of the cotton industry is largely diminished e.g., the       needed. To this end, this study follows World Bank
     number of spinning factories is estimated to be 15,          (2015b) in its recommendation to first shift the
     only five of which are working, and there are 17 tex-        focus of subsidies on domestically produced wheat
     tile factories, of which only one or two are working.        and then, second, to gradually reduce the extent of
                                                                  subsidies on domestic production.
     Agriculture imports and attempts for                              Sudan currently pays too high a price for
     import substitution                                          wheat imports and there are indications that
                                                                  by changing the import sources the government
     Sudan’s food consumption pattern has under-
     gone a profound shift over the past decades,                 44
                                                                       See, for instance, the 3-Year Salvation program set-up in 2012.
                                                                         Agriculture and livestock: key for economic diversification                 89




BOX 3.4: Food Security, Wheat Self-Sufficiency, and State-Level Grain Storage
Over much of the past decade, common discussions about food security in Sudan have conflated the concept that wheat self-
sufficiency adds to food security. However, the reality is that the two concepts do not have much to do with each other. Examples
from other countries are illustrative: First, Jordan produces virtually no grain at all, and yet has a high degree of food security, due
to a substantial volume of modern storage (silos) distributed around the country, and efficient and transparent procurement of grain
from the cheapest sources on the world market. Second, Indonesia has long considered itself food insecure, despite the fact that it
is the third largest producer in the world of its staple grain (43 million tons of rice).
    Sudan consumers have changed their taste of grain and shifted to an emphasis on wheat. This gradual shift is taking place from
the traditional dryland crops of sorghum and millet to wheat. In 2001 grain consumption per capita was 140 kg: 90 kg of sorghum,
10 kg of millet, and 40 kg of wheat. Now it is closer to 96 kg of sorghum (plus about 10 percent for animal feed) and 54 kg of wheat.
Since wheat production has declined, there is now a noticeable gap between production and consumption, which must be filled by
1.7 million tons of wheat imports. Actually, Sudan was 24 percent self-sufficient in wheat in the 1980s, 49 percent in the 1990s, and
reverted to 25 percent in the 2000s (Data from the Sudan Ministry of Agriculture and Irrigation).
    Consumers continue to change their taste (and demand) and grain consumption patterns may be significantly different again over the
next decade. Assuming that the change in taste of the population is permanent, changing the cropping pattern will be a long gradual process,
and indeed may only be partial. So the shift in production will not provide increased security for perhaps 10 years, and perhaps never in total.
    The greater part of current modern storage available now in Sudan is for wheat, not for sorghum and millet. In fact, current
storage is usually either attached to flour mills or owned by flour millers at Port Sudan. The nature of the current grain storage is rather
short-term, perhaps a week or two of buffer supplies between arrival of trucks, trains, and ships, and slow steady progress of the mills.
Table 3.2 provides an overview of the known modern storages of Sudan.
    Current wheat storage capabilities exceed millet and sorghum and are in the range of two months of wheat consumption. Yet,
since the wheat stores are fully private and are dedicated to the milling of flour for the various companies their effect as strategic
storages is limited. Still, they represent the equivalent of over two months of current consumption. Compare this with the government’s
stores of sorghum and millet, which only represent 20 days of consumption of those two commodities. Much more, they are all in the
far eastern part of the country, whereas consumption is mainly in the west.
    Sudan today is more secure in wheat than in sorghum and millet. So food security does not reflect the fact that the wheat stocks
are mainly imported, and the sorghum and millet are mainly produced domestically. The private sector as noted above is already
carrying the capacity for 69 days of reserves of wheat, and it may be prudent to let this continue at no cost to the government. But
there would be a need to add a more strategic look at the current storage. The difficult case involves the traditional crops, where
only perhaps 20 days of modern reserves exist. This would be extremely expensive to raise to international levels, indeed even
just to two months’ reserves status. Both capacity and stock of 490,000 tons would be required, as two months demand would be
740,000 tons in total, 490,000 more than now exist. At a minimum of US$220/ton for new capacity, this would be over US$100 million
for new silos, and probably the same amount for the required sorghum. It is not clear that Sudan will soon have such investment
funds for this purpose.
    Although a full-fledged national reserve system for all of Sudan’s residents may not be affordable at present an intermediate
approach to introduce more storage could be designed.

•	 To begin with a focus on the more vulnerable areas, perhaps in the west, could be selected to balance the current preponderance
   of facilities in the east (Port Sudan, Gedaref, etc.).
•	 Then one could basically design a modern storage facility with the following credentials: Construct a 50,000 ton standard facility,
   designed for unloading and loading trucks up to about 25 tons. Assuming a generous daily ration of grain of 1/2 kg per day per


Table 3.2: Modern Grain Storage in Sudan, 2013
                                                  Wheat                               Sorghum                              Millet
 Dal Group Port Sudan Silos                      240,000 tons
 Port Sudan Silos                                 50,000 tons
 Flour mills (8) Silos                           140,000 tons
 Gadarif Silos                                   100,000 tons
 New Gadarif Silos                               100,000 tons                         380,000tons                         250,000 tons
Source: World Bank staff estimates, based on data from Dal Group; and the Sudan Ministry of Agriculture and Irrigation.


                                                                                                                          (continued on next page)
90     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




       BOX 3.4: Food Security, Wheat Self-Sufficiency, and State-Level Grain Storage (continued)

          person, the facility’s 50 million kg of grain would cover 100 million days rations. If one assumes a ration period of 14 days, or at
          least until ships could arrive from other countries, unload, and have new grain distributed around the country, then this silo could
          serve 7 million people, or perhaps two states.
       •	 At US$220/ton of new capacity, and US$220/ton of sorghum, this facility could be built and filled for about US$22 million.
       •	 With proper fumigation and ventilation (all modern silos have these capabilities), the grain would last a very long time safely. However,
          if normal operations did not move the grain within perhaps six months, and to make sure to keep mechanical systems (and worker
          skills) up to par, long-term deals with local traders could be made, which would constantly refill the bins as they emptied.

          Apart from capital cost there is no anticipated significant other cost to be budgeted for the silos. As running costs of such silos are
       low, and the silo operation has a real opportunity to make a small profit when buying low (e.g., right after harvest) and selling high, it
       would be assumed that virtually no budget funds would be allocated after establishment. If the first regional reserve established a good
       track record, the government could add others, benefiting region after region, gradually creating a national system of food security.
          Operation of the silos could have the following features to maximize the impact of the proposed system: (1) Each silo would be
       in business for itself, perhaps with a bonus system through which staff could legitimately earn a small share of the profit. (2) As staff
       would be entrusted with a substantial amount (up to US$11 million) of liquid assets, and as those assets are meant for emergency
       situations, there would be random lightning audits of their contents. (3) There would be regulations of minimum levels, say 30,000
       tons right before regional harvest, but then silos would be expected to fill up and stay full. This is feasible for a truck-served silo, rather
       than a port one, which needs to achieve empty space before arrival of a 50,000 ton ship to avoid demurrage. The key point here is
       to create space at harvest time, to maximize impact on (slightly) raising harvest prices for the farmers. Similarly, the silo could reduce
       peak prices to consumers shortly before harvest.




     could reduce the price paid significantly. Wheat                             with average production of 700 thousand tons.
     imports are being carried out primarily through                              Sugar in Sudan is produced in six sugar factories,
     flourmill companies. Examples are SAYGA, Weita,                              four publicly owned (Sennar, Elgoneid, Assalya, and
     and Seen. The main exporting countries of wheat                              New Halfa Sugar companies) and two joint venture
     to Sudan are now Australia, Canada, Germany,                                 (Kenana and White Nile Sugar Co). The gap in
     and more recently India (Figure 3.5.2). The cost                             domestic sugar supply in Sudan on average is about
     of wheat imports could be significantly reduced if                           600 thousand tons per year. Total consumption is
     Sudan imports wheat from other cheaper sources                               about 1.3 million tons in any given year.
     such as Argentina, Russia, Kazakhstan, and the U.S.                               The goal of self-sufficiency in wheat and sugar
     (Figure 3.5.3).                                                              to reduce imports is problematic. Foremost is the
          Sugar is another important food item for                                argument that the opportunity cost of producing
     Sudan. Figure 3.5.4 shows the development of                                 wheat and sugar are very high. They in fact compete
     sugar imports over the period 2008 to 2013. There                            for the same limited irrigated land (e.g., two million
     is an increasing trend of sugar imports during the                           ha) near the Nile, where farmers also grow the more
     last five years: from US$108.9 million in 2009 with                          traditional crops, such as sorghum. In fact, anecdotal
     6.6 percent share in total food imports to more than                         evidence suggests that farmers know the wheat and
     US$645 million in 2013 with a 27 percent share of                            sugar crops quite well but they have walked away
     food imports. This sharp increase naturally seems                            from producing them over time because there is
     due to the increase of local consumption of sugar.45                         little profit to make in those crops under current
          It is government policy to boost domestic
     production of sugar to achieve self-sufficiency
                                                                                  45
                                                                                     Sudanese people consume about 33kg per capita per year, a little less
     and become a sugar exporter.46 Sudan is actually                             than the average citizen of the EU (38 kg/cap) (World Sugar Council).
     already one of the biggest African producers of sugar                        46
                                                                                     See, for instance, the 3-Year Salvation program set-up in 2012.
                                                                               Agriculture and livestock: key for economic diversification                   91




FIGURE 3.5: Sudan’s Agriculture Imports: Wheat and Sugar
                   1) Wheat imports: quantity and value                                          2) Main source countries for wheat imports
2,500                                                                    60%         500                                                               40%

2,000                                                                    50%         400
                                                                                                                                                       30%
                                                                         40%
1,500                                                                                300
                                                                         30%                                                                           20%
1,000                                                                                200
                                                                         20%
                                                                                                                                                       10%
  500                                                                    10%         100

       0                                                                 0%            0                                                               0%
            2008       2009    2010       2011      2012      2013                         AUS        CAN       GER         IND       UKR        TUR
            Import quantity ('000 tons)    Import value (US $ million)                                            Value (US$ mn)
                      Share in food imports (right-hand axis)                                        Share in total wheat imports (right-hand axis)

           3) Sudan‘s wheat import price in perspective (US$/ton)                                              4) Sugar imports
                                                                                                                                                       30%
500                                                                                  600
                                                                                                                                                       25%
400                                                                                  500
                                                                                                                                                       20%
                                                                                     400
300
                                                                                     300                                                               15%
200
                                                                                     200                                                               10%

100                                                                                  100                                                               5%

   0                                                                                   0                                                               0%
           2010/2011      2011/2012        2012/2013        2013/2014                      2009         2010         2011         2012        2013
                       Sudan import price          All US grades                                          Import value (US $ million)
               US (Kansas city)         US (Texas gulf)         Argentina                              Share in food imports (right-hand axis)

Source: World Bank staff own calculations, based on data from the Central Bank of Sudan; the Sudan Ministry of Agriculture and Irrigation; and the United
States Department of Agriculture (USDA).




conditions. Low yields in wheat are particularly pro-                             productivity, profitability, and competitiveness
nounced. On the other hand, sugar is a cheap, low                                 of agricultural production. Inputs are products
profit crop, and almost all sugar-procuring countries                             such as seeds, fertilizer, pesticides, machinery, and
offer some sort of protection to their sugar industry.                            post-harvest material like packaging. The supply of
To be able to compete on the world market, hence,                                 agricultural inputs depends on the extent that there is
Sudan would likely also have to offer similar levels                              a market for such products and the degree of govern-
of protection (World Bank 2014g).                                                 ment involvement. The current government policy on
                                                                                  agricultural inputs in Sudan is to exempt them from
D. Agricultural Support                                                           custom duties and use of the official exchange rate for
                                                                                  their imports, which is a form of indirect subsidy as
Agricultural inputs                                                               there is a definite gap between official, commercial,
                                                                                  and parallel market rates.
Availability and access to agricultural inputs is                                     The supply of agricultural inputs is orga-
largely considered one of the main factors affecting                              nized mainly through the Agriculture Bank of
92      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     FIGURE 3.6: Sudan’s Agriculture Input Imports
                                1) Agriculture input imports (1)                                            2) Agriculture input imports (2)
     250,000                                                                               2,000

     200,000
                                                                                           1,500
     150,000
                                                                                           1,000
     100,000
                                                                                             500
      50,000

            0                                                                                  0
                 Fertilizers (tons)       Tractors (#)    Jute and sacks (tons)                        Seeds (tons)                Insecticides (tons)
                                                                         2011     2012       2013

     Source: World Bank staff own calculations, based on data from the Central Bank of Sudan.




     Sudan (ABS) and the private sector. The federal                                         Improved seed technology is essential for
     Ministry of Agriculture and Irrigation is responsible                               bridging the gap between yields in demonstra-
     for qualifying companies for agricultural inputs                                    tion trials and farmers’ fields. In this regard,
     imports through tenders. The Ministry also pro-                                     the Federal Ministry of Agriculture and Irrigation
     vides services to the farmers through an extension                                  distributed about 3.9 thousand tons of improved
     unit, and a subsidy to the small traditional rain-fed                               seeds, mainly sorghum, millet, groundnuts, and
     farmers (in kind), and is responsible for setting agri-                             vegetables in different states in 2012, in addition
     cultural standards for imported and exported com-                                   to 1,500 tons provided by the FAO. Until recently,
     modities through its Plant Quarantine Department.                                   seed production and certification were handled
         The import of fertilizers, tractors and jute                                    by the central government through the Seed Unit
     and sacks constitute the major part of imported                                     of the Extension Department in the Ministry of
     input value for agriculture inputs. While there                                     Agriculture and Irrigation. National seed produc-
     are many seasonal effects playing a role in agri-                                   tion was limited to field crops, while horticultural
     culture input imports, there is a trend emerging                                    crop seeds were usually imported. In a move to
     for increased fertilizer inputs (Figures 3.6.1 and                                  improve production of good quality seed and
     3.6.2). This is a positive sign given that fertilizer                               boost the use of improved seed, the Arab Sudanese
     usage is among the lowest in the world and urgently                                 Seed Company was formed through public-private
     needed to increase yields in the sector (see Section                                partnership. The government donated physical
     B of this chapter).                                                                 assets and has a share of 42 percent of the com-
         The irrigated sector makes the most use of                                      pany’s capital. The remainder was financed by the
     improved seed. Local seed, either kept from the                                     Arab Authority for Agricultural Investment and
     previous year or bought from local markets, is the                                  Development (AAAID).
     main seed source outside the irrigated sector; such                                     Among the main constraints for providing
     seed, comprising second generations of improved                                     agriculture inputs in Sudan are the fact that the
     varieties, is marketed without quality control other                                market is distorted and there is a shortage of
     than local knowledge of source. Some improved                                       storage capacity. Many constraints face agricul-
     seeds are used in the rain-fed sector, notably in                                   tural input supply in Sudan, some of them are the
     Blue Nile State.                                                                    following: First, the distorted agricultural inputs
                                                        Agriculture and livestock: key for economic diversification   93




market. One factor is the exchange rate policy                  The allocation of resources across various
because part of agricultural inputs are imported           lines of research is primarily a policy decision.
at official exchange rates (SDG2.9/US$) through            In 2008, 28 percent of Sudan’s agricultural research-
the ABS and part at other adopted exchange rates           ers were involved in crop research, 25 percent in
(SDG5.9/US$) through the private sector. Also,             livestock research, and 8 percent for forestry and
shortage of supply and improper timing of deliv-           natural resources (El-Siddig and Stads 2010). The
ery, accompanied by low quality and standards,             remaining researchers concentrated on postharvest,
lead to other distortions. The private company             socioeconomic, fisheries, and water and irrigation
involved in the import of agriculture inputs gets          research, or other matters. Horticultural crops are
the authorization through bids controlled by the           the most researched crops in Sudan, accounting for
Ministry of Agriculture and Irrigation. Due to a lack      10 percent of the country’s total crop and livestock
of transparency, real or perceived, this has resulted      research. Sorghum accounted for 7 percent, and
in importing lower quality inputs, as happened in          cotton, legumes, oil crops, and wheat for 5 percent
season 2012/13 when imported wheat seeds had a             each. Sudan’s research on rain-fed crops is relatively
low or zero germination rate in some places. Second,       understaffed compared with research on irrigated
the widespread use of deferred payment options             crops (El-Siddig and Stads 2010).
increases the cost. Third, there is a real shortage             The Agricultural Research Corporation
of storage capacity and unspecialized input stores.        (ARC) is, in addition to the universities, the
Fourth, the very low local production of inputs (for       principal research arm of the government for
example the local production of seeds covers only          agriculture. Despite difficulties, ARC still has a
10 percent of domestic needs). And fifth, delay of         staff of 446 researchers (170 PhD), 13 national
inputs supply, lack of substitutes, and high insur-        programs, 48 subprograms, 120 research projects,
ance cost.                                                 10 research centers, 3 research units, 25 research
                                                           stations and 54 laboratories. The ARC over the last
Agricultural Research                                      year invented, implemented, and tested a number of
                                                           technologies dealing with land preparation, irriga-
Agricultural research, which is the respon-                tion, cultural practices, plant nutrition, pest control,
sibility of the central government, has been               agricultural engineering, range and pasture and
underfunded for decades. The annual budget                 others. More recently the ARC released high yield-
allocated to Agricultural Research Corporation             ing sorghum varieties and breeds for heat tolerant
(ARC), the Animal Resources Research Corporation           wheat. However, few of these technologies and the
(ARRC) and universities is only about 0.3 percent          many other technologies already “on the shelf” have
of GDP. This level of funding has proven to be             been tested under field conditions.
totally inadequate for a country that is so heavily             The current arrangement of fully designat-
dependent on agriculture. In fact, Sudan spends            ing agricultural and livestock research to the
significantly less per unit of value of agricultural       Ministry of Science and Technology needs to
output on agricultural research than the average           be revisited. Institutional reform in agricultural
of African countries or developing countries as a          research is required. Responsibilities of the Ministry
group. The limited budget has resulted in a decline        of Science and Technology should be confined to
in staff numbers, reduced resources for funding            policy coordination and frontier research, while
research activities in the field, and a deteriora-         the functional responsibility is to be designated to
tion of the research facilities because of a lack of       the relevant ministries. Coordination between the
maintenance.                                               agricultural research institutions is very weak. A
94     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     closer collaboration between these research insti-           technology to farmers. The TTEA also maintains a
     tutions can be achieved through the establishment            Technology Transfer Center and relevant Stations
     of the National Agricultural Research Systems                whose mandate is to transfer technical information
     (NARS), an umbrella which determines research                to stakeholders including farmers.
     themes to be carried out by ARC, ARRC, univer-                    The government delivery of Livestock and
     sities and other relevant research institutes. This          Fishery extension services do not appear to be
     should lead to a more efficient use of resources             contributing to significant increases in produc-
     and more relevant technology outcomes, which                 tivity. For livestock extension services, the General
     will in turn increase growth and development of              Directorate of Extension, Technology Transfer
     the agricultural sector.                                     and Pastoralists’ Development is responsible for
                                                                  extension matters related to livestock owners,
     Extension services                                           pastoralists, and fishermen. The Directorate runs
                                                                  its grassroots programs based on the needs of pas-
     Agricultural extension services in Sudan are                 toralists, animal owners, producers, and fisher-
     provided by the government through the                       men. It develops strategies and programs of animal
     Ministry of Agriculture and Irrigation and the               resources sector that concentrates on livestock, and
     Ministry of Livestock and Fisheries. Increasing              trans-boundary and zoonotic disease control, in
     agricultural productivity requires extension ser-            addition to the promotion of animal production
     vices to be improved. Given the fiscal constraints           and fisheries.
     facing the Government it is recommended that                      There is a need to do a better job of involv-
     private companies selling inputs (seeds, fertiliz-           ing the private sector in the delivery of extension
     ers) and major marketing/buying companies be                 services. In addition to the Federal Government,
     encouraged to deliver technical advice through               state Ministries of Agriculture and state Ministries
     extension services and the increased use of con-             of Livestock and Fisheries47 also provide extension
     tract farming.                                               services. Some universities make a contribution
         The Technology Transfer and Extension                    to extension mainly through training. Examples
     Administration (TTEA) is responsible body for                include the Extension and Rural Development
     agriculture extension services. The objectives               Department at Sudan University of Science and
     of TTEA include: the development of agriculture,             Technology and Department of Agricultural
     improvement in the production quality, enhance-              Extension and Rural Development at University of
     ment of farmers’ income through rational exploita-           Khartoum. Famer based organizations, including
     tion of natural resources, comprehensive human               the Farmer Union and the Pastoralist Union, play
     prosperity via profitable, sustainable agriculture,          key roles in farmer-to-farmer extension activities,
     and making agricultural products competitive in              influencing extension policy, assessing extension
     international markets with the aim of assuring               performance, and helping in setting extension pri-
     food security and increasing agricultural revenues.          orities. Extension services remain weak and more
     TTEA has four main thematic programs: improv-                attention needs to be given to using “tried and
     ing crop productivity, promotion of improved                 tested” approaches with well-trained professionals,
     seeds, integrated mechanization, and rural women             including the private sector.
     development. The TTEA established administra-
     tion networks in the state ministries responsible
     for agriculture and worked closely with the states,          47
                                                                   In some states, both ministries have been merged to form a single
     ARC, and universities to facilitate the transfer of          ministry
A. Goods Trade
                                 GOODS AND SERVICES TRADE
                                    TO BUILD ENDOWMENTS
                                                                                                4
  Sudan has a revealed comparative advantage (RCA) in agriculture, meat and dairy, and seafood, as well
  as in extractive industries. Although the EU was once the main trading partner, the share of Sudanese
  exports destined to the EU has declined significantly over the past 15 years. At the same time, China has
  experienced a spectacular increase in its share of Sudanese exports since 2000. Sudan’s export basket is
  very concentrated, as shown the large shares of its top three and five export products, but the degree of
  product concentration decreases when looking at non-oil export. The lack of product diversification of
  Sudanese exports also stands out when compared to peer countries, as evidenced by its comparatively
  much higher Herfindahl-Hirschman index. The diversification of Sudan across destination markets is low,
  and has remained approximately constant. A few multi-product multi-destination exporters typically amass
  the majority of total exports in a country, but less so in developing countries; this is also the case in Sudan.

  Services and trade-in-services have an important role in economic diversification. But Sudan’s share of
  services Value Added (VA) in GDP is lower than expected for a country at its level of development. Services
  export growth remains below that of goods exports and GDP growth. Sudan registers more dynamic
  growth rates for other commercial services exports than for exports of travel or transport services, a fact
  that suggests the existence of some modern services. But Sudan’s services imports are undiversified in
  nature. Ensuring efficient access to a wide range of services is a key determinant in international com-
  petitiveness and efficiency.

  Diversification today needs to consider the changed competitiveness over time of products Sudan once
  produced. And there are a variety of products, including manufactured exports, which Sudan has exported
  in significant quantities in the recent past, or in small quantities today. In addition, there are ten “emerg-
  ing champions.” products, which are now being competitively exported from Sudan that were not so in
  the early 1990’s. Gum arabic, one of Sudan’s most well-known export product of agricultural origin, could
  serve as a starting point to showcase how to increase value-addition through both adding new process-
  ing steps into the value chain and increasing the value of the raw material through smart production-
  enhancing decisions. Reforms in services should focus on the development of framework conditions that
  facilitate the growth of professional services and address skills shortages and skills mismatches. In addi-
  tion, regional integration and multilateral negotiations offer opportunities for implementing regulatory
  reforms and reducing the skill gap through services liberalization.
96     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     a. Overview                                                  suggests the existence of a skewed distribution of
                                                                  exporter size in Sudan, with a heavy presence of
     Export growth, base and size                                 small firms combined with a few very large firms.
     Sudan enjoyed very strong growth of non-oil                  Yet, this skew is less so than in other countries.
     exports between 2008 and 2012, but this was                  Please also see the Sudan DTIS Update (World Bank
     largely driven by gold. In fact, Sudan’s 2012 total          2014e), a parallel study to this Country Economic
     non-oil exports were four times the level in 2008            Memorandum that specifically analyzed trade and
     (Figure 4.1.1). Sudan exhibits the fastest growth in         trade-related issues in the country. Box 4.1 provides
     total non-oil exports relative to its regional com-          a short snapshot of the main findings.
     parators Ethiopia, Tanzania, and Zambia. While this
     is a good development for Sudan, especially since            Departure of crude-oil exports after 2011
     the non-oil sector is in the spotlight with the 2011         The secession of South Sudan in 2011 signifi-
     secession of South Sudan, the rise of non-oil exports        cantly and adversely affected exports48 from both
     needs to be seen in the context of a very rapid rise         the North and the South, and both oil and non-
     of gold exports, especially in 2012 and 2013. This           oil exports. Non-oil exports of Sudan appear to
     will be shown in subsequent sections of this chapter.        have originated primarily from the North, and can
          Sudan’s number of non-oil exporters is                  thus be treated as comparable over a long period of
     significantly smaller than that of its compara-              time.49 In 2012 and 2013, oil exports from Sudan
     tors. This is even after controlling for income per          and South Sudan together (red plus blue) fell signifi-
     capita, size, and time trends. Figure 4.1.1 shows            cantly short of pre-partition levels, and in 2013 were
     that Sudan has, on average, substantially fewer non-         still nearly 60 percent lower than those of united
     oil exporters than all of its regional comparators.          Sudan in 2011, but still recovering (Figure 4.2.1).
     To account directly for country size, Figure 4.1.2           Oil exports from Sudan in 2013 were nearly 80 per-
     shows the numbers of exporters per 1,000 people              cent lower than those reported for Sudan in 2011.
     and Sudan again appears as an underperformer                 In 2013, non-oil exports were also 52 percent lower
     in terms of the number of exporters per capita               than their 2011 peak.
     (Figure 4.1.3). Sudan experienced an important                    Sudan’s non-oil exports grew steadily
     expansion, though, by 28 percent in the number of            through 2010, decreased slightly in 2010 and
     exporters from 2008 to 2009—from 660 to 846—                 then picked up very rapidly in 2012 due to the
     (Figure 4.1.4). But between 2009 and 2012 the
     number of non-oil exporters declined again, despite
                                                                  48
                                                                     Throughout this note, “exports” refers to exports of goods.
     Sudan’s consistent total non-oil export growth over          49
                                                                     Due to lack of reporter data for South Sudan (SSD), South Sudan
     that period.                                                 is always represented through mirror data sourced from UN COM-
                                                                  TRADE. The export data used for Sudan come from the mirror as
          The average and median non-oil exporter                 well, except in the case of HS71 which includes gold, for which
     in Sudan is relatively larger than in most                   reporter data from Sudan was preferred. These include data for both
                                                                  “former Sudan (SDN)” and Sudan (SUD) in COMTRADE. The mirror
     regional benchmark countries. Still, the aver-               is adopted for several reasons. First, for most years the mirror data are
     age size of exporters is not significantly different         modestly larger, suggesting more complete coverage. Second, reporter
                                                                  data from Sudan is missing for several years (1996, 1997, 1998, 2007,
     in Sudan (US$2.5 million) from countries like                and 2013). Reporter data are used for HS71, including gold, as these
     Cameroon (US$2 million) and Tanzania (US$1.6                 are more consistent with available data on Sudan’s production of gold.
                                                                  Given that other countries report receiving very little imports from
     million) (Figure 4.1.5). The median size of export-          South Sudan except crude oil, one can reasonably attribute exports
     ers, however, is much higher than most compara-              of other products to the region comprising present-day Sudan. For
                                                                  further discussion of the issues surrounding measurement of produc-
     tor countries in Africa (Figure 4.1.6). This relative        tion and exports of oil and gold, see the sections of this document
     difference between the average and median sizes              pertaining to those commodities.
                                                                                                                                    Goods and services trade to build endowments                          97




FIGURE 4.1: Exporter Base and Size, Sudan and Selected other Countries
                             1) Total non-oil export growth (base year 2008)                                                              2) Number of exporters, selected countries, 2012
                  4
                                                                                                                             Kenya                                                               4,610

                                                                                                                        Ethiopia                                1,826
                  3
Export growth




                                                                                                                  Tanzania                                   1,796

                                                                                                                            Zambia                       1,368
                  2
                                                                                                          Cameroon                                 928

                                                                                                                            Uganda              910
                  1
                                                                                                                            Sudan              787
                      2008           2009              2010                 2011              2012
                                                          Year                                                                       0       1,000          2,000          3,000      4,000       5,000
                             Sudan             Ethiopia                Tanzania           Zambia                                                            Number of exporters

                                 3) Number of exporters per 1,000 people,
                                        selected countries, 2012                                                                          4) Number of exporters in Sudan, 2008–2012
                                                                                                                             850
                 Kenya                                                                 0.12

                Zambia                                                          0.11
                                                                                                                             800
                                                                                                      Number of exporters


 Cameroon                                       0.05

       Tanzania                                0.04                                                                          750

            Uganda                     0.03
                                                                                                                             700
                Sudan                0.02

           Ethiopia               0.02
                                                                                                                             650
                         0                     0.05                      0.10                 0.15                                 2008         2009                2010           2011            2012
                                     Number of exporters per 1,000 People                                                                                           Year

                                              5) Average exporter size                                                                                   6) Median exporter size

                Zambia                                                                          4.0                 Ethiopia                                                                      0.109

                Sudan                                                     2.5                                               Sudan                                                                0.105

 Cameroon                                                        2.0                                          Tanzania                              0.026

       Tanzania                                        1.6                                                            Uganda                       0.023

            Uganda                              1.3                                                                         Kenya               0.023

           Ethiopia                            1.2                                                    Cameroon                                  0.022

                 Kenya                   0.9                                                                           Zambia                0.015

                         0               1                   2                    3             4                                    0      0.02         0.04       0.06       0.08       0.10
                                     Average exporter size in millions of USD                                                                   Median exporter size in millions of USD

Source: World Bank staff own calculations, based on data used for the World Bank Exporter Dynamics Database.
Note: (2), (3), (5), and (6)—the following averages were used: 2008–2012 for Ethiopia and Sudan, 2007–2011 for Tanzania and Zambia, 2007–2010 for Bo-
tswana and Uganda, 2006–2009 for Kenya, and 2007–2009 for Cameroon.
98   COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




     BOX 4.1: Main Findings of the Sudan DTIS Update
     The Diagnostic Trade Integration Study (DTIS) Update of 2014 identified priority Actions in support of the Government’s commitment
     to increase trade and diversify the economy. The study built on the earlier 2008 DTIS by identifying the major factors holding back
     the increase of agricultural exports and economic diversification.
        The DTIS Update found that high tariffs and other trade taxes on imports create incentives to produce for the domestic market
     and actively discriminate against exporters and potential exporters. But enabling exporters and potential exporters to obtain their
     inputs at internationally competitive prices would stimulate investment and growth and encourage diversification. Reducing trade
     costs and increasing trade represent the most powerful policy package available to the Government for reducing poverty and putting
     the economy back on a sustainable path.
        The DTIS Update recommended to stimulate exports through the implementation of a package of (difficult) reforms that lower
     the barriers to trade through reducing trade taxation, simplifying border and regulatory policies, and improving transport and
     logistics. Concretely, the following key reforms were recommended to stimulate exports:

     •	 Revise trade policy to simplify the tariff schedule, reduce the proportion of peak tariffs, and adopt a transparent and well-
        publicized policy on eligibility for duty rebates. The tariff schedule is characterized by a high proportion of peaks (15 percent
        and above), discriminatory excise duties and a Development Tax of 13 percent, which is a para-tariff. A comprehensive tax reform
        strategy that reduces reliance on trade taxation and promotes growth and investment should be revenue neutral and in many
        cases will results in increased government revenue.
     •	 Simplify and streamline border and regulatory policies. Sudan imposes many Non-Tariff Measures (NTMs) that increase the price of
        imports and the ex-factory price of Sudanese products. Many of these result from the high proportion of products that are required
        to be tested for mandatory standards. The testing frequently duplicates tests already carried out by qualified laboratories in the
        country of origin. Reducing the number of mandatory standards and replacing them with voluntary standards should be a priority.
     •	 Modernize customs clearance procedures. Multiple border agencies undertaking duplicative and redundant checking and repeated
        requests for the same information all serve to increase costs and reduce competitiveness. Prioritizing the establishment of a National
        Trade Portal will bring together all the information and forms required for moving goods across borders. It is a proven technique
        for reducing red tape and increasing transparency. Increased transparency regarding the correct application of trade policies and
        administrative procedures would increase the predictability of trade costs and transit times, making it easier for companies to
        integrate into regional and global value chains.
     •	 Reduce the price of transport and improve the quality of logistics services. In the short term, improvements in road transport will
        bring the highest returns. Priority actions include ensuring 24/7 access to the dry port of Khartoum through either relocation or
        constructing a by-pass. Further investment in infrastructure along the Port Sudan-Khartoum route would increase safety and reduce
        delays. Modernizing the regulatory framework for logistics services will facilitate increased reliability and reduce transport prices.

        Looking specifically at agriculture, the DTIS Update found that high input costs stemming from inefficient marketing and transport
     networks, and regulatory restrictions, all contribute to the observed low productivity underperformance of the sector. Sudan
     has the potential to be a major producer and exporter of agricultural products to their neighbors, traditional trading partners in the
     Middle East and globally. Despite the potential and recent positive growth the sector continues to underperform. Recent positive
     reforms in the policy environment, including the removal of the Gum Arabic Commodity Council monopoly, increasing the role of
     the private sector, privatizing previously state owned companies, and removing duties on agricultural inputs are all delivering results.
     The DTIS Update highlighted three areas where further reforms will reduce trade costs. These include streamlining the procedures
     for the registration of seeds and other agricultural inputs, removing the uncertainty over export licenses for staple crops (specifically
     sorghum), and improving productivity in the livestock sector.
        Finally, the DTIS Update highlighted that Sudan has the opportunity to deliver significant growth in the tourist sector, but that
     this requires both supply- and demand-side measures. In the short run the DTIS Update recommended that the Government of
     Sudan sends a positive signal that it is open for tourism by reforming the Visa regime, lifting in-country bureaucratic procedures,
     and updating the National Tourism Plan. A comprehensive development strategy, on the other hand, would take several years to
     evolve and requires improvements in policy and planning, human resource development, transport access, and product development
     and marketing. The recently updated National Tourism Plan addresses these issues and provides a useful road map for raising the
     profile of the sector and mobilizing resources for implementation. Box 4.2. provides more details on the DTIS update analysis of
     the tourism sector.

     Source: Excerpt from World Bank 2014e.
                                                                                                                                                                                                                                              Goods and services trade to build endowments                                                                                                                                                                          99




FIGURE 4.2: Sudan’s Export Performance Overview
                   1) Sudan / South Sudan exports of crude oil and                                                                                                                                                                                                      2) Sudan total exports excluding crude oil,
                   all other products (non-crude oil), 1996 to 2013                                                                                                                                                                                                                    1996 to 2013
15,000                                                                                                                                                                                                                                   3,000
13,000
11,000
                                                                                                                                                                                                                                         2,000
 9,000
 7,000
 5,000
                                                                                                                                                                                                                                         1,000
 3,000
 1,000
–1,000                                                                                                                                                                                                                                       0
         1996

                              1998

                                              2000

                                                               2002

                                                                                 2004

                                                                                                  2006

                                                                                                                            2008

                                                                                                                                                            2010

                                                                                                                                                                                               2012




                                                                                                                                                                                                                                                 1996
                                                                                                                                                                                                                                                 1997
                                                                                                                                                                                                                                                 1998
                                                                                                                                                                                                                                                 1999
                                                                                                                                                                                                                                                 2000
                                                                                                                                                                                                                                                 2001
                                                                                                                                                                                                                                                 2002
                                                                                                                                                                                                                                                 2003
                                                                                                                                                                                                                                                 2004
                                                                                                                                                                                                                                                 2005
                                                                                                                                                                                                                                                 2006
                                                                                                                                                                                                                                                 2007
                                                                                                                                                                                                                                                 2008
                                                                                                                                                                                                                                                 2009
                                                                                                                                                                                                                                                 2010
                                                                                                                                                                                                                                                 2011
                                                                                                                                                                                                                                                 2012
                                                                                                                                                                                                                                                 2013
                                                              Sudan (Crude oil)                                                                                                                                                          Natural/cultured pearls,                                                                  Electrical machinery
                                                              South Sudan (Crude oil)                                                                                                                                                    precious stone                                                                            equipment and parts thereof,
                                                              Sudan (Non-crude oil)                                                                                                                                                      Live animals                                                                              sound recorder etc
                                                              South Sudan (Non-crude oil)                                                                                                                                                Oil seed, oleagi fruits;                                                                  Meat and edible meat offal
                                                                                                                                                                                                                                         miscellaneous grain, seed, fruit etc                                                      Copper and articles thereof
                                                                                                                                                                                                                                         Lac, gums, resins, and                                                                    Beverages, spirits and vinegar
                                                                                                                                                                                                                                         other vegetable saps and extracts                                                         Rest of products
                                                                                                                                                                                                                                         Sugars and sugar confectionery                                                            (excluding crude oil)

                                     3) Sudan’s exports excluding crude oil, 2011                                                                                                                                                                                     4) Sudan’s exports excluding crude oil, 2012
2,250,000                                                                                                                                                                                                                          2,250,000

1,750,000                                                                                                                                                                                                                          1,750,000

1,250,000                                                                                                                                                                                                                          1,250,000

  750,000                                                                                                                                                                                                                              750,000

  250,000                                                                                                                                                                                                                              250,000

–250,000                                                                                                                                                                                                                           –250,000
                Gold, non-monetary
                                      Sheep
                                               Sesame seeds
                                                               Refined oil
                                                                            Gum arabic
                                                                                         Cotton


                                                                                                                            Copper waste and scrap
                                                                                                                                                     Meat of sheep (fresh)
                                                                                                                                                                             Undenatured ethyl alc.
                                                                                                                                                                                                      Other prod. (excl. crude)




                                                                                                                                                                                                                                                 Gold, non-monetary

                                                                                                                                                                                                                                                                      Sheep

                                                                                                                                                                                                                                                                              Sesame seeds

                                                                                                                                                                                                                                                                                             Gum arabic

                                                                                                                                                                                                                                                                                                          Refined oil

                                                                                                                                                                                                                                                                                                                       Raw sugar

                                                                                                                                                                                                                                                                                                                                    Waste/scrap prim. cells

                                                                                                                                                                                                                                                                                                                                                              Copper waste and scrap

                                                                                                                                                                                                                                                                                                                                                                                       Undenatured ethyl alc.

                                                                                                                                                                                                                                                                                                                                                                                                                Meat of sheep (fresh)

                                                                                                                                                                                                                                                                                                                                                                                                                                        Other prod. (excl. crude)
                                                                                                    Other waste and scrap




Source: World Bank staff own calculations, based on data from UN Comtrade.



expansion of gold.50 Exports of gold increased                                                                                                                                                                                    outcome being driven by the simultaneous drop in
abruptly in 2012 after the secession of South Sudan                                                                                                                                                                               crude oil exports and the increase in those of non-
the previous year, accounting for most of the expan-                                                                                                                                                                              monetary gold.
sion of non-oil exports in 2012 (Figure 4.2.2). The
share of crude oil and mineral fuels has been drop-                                                                                                                                                                               50
                                                                                                                                                                                                                                    This refers to HS Chapter 71 data from the Harmonized System
ping steadily since 2008, when it peaked at 94 per-                                                                                                                                                                               (HS) of tariff nomenclature. Because Sudan has not yet reported
                                                                                                                                                                                                                                  export values for 2013, the figures corresponding to that year are all
cent of total exports. Indeed, exports of gold were                                                                                                                                                                               taken from the mirror, which in the case of HS Chapter 71 are likely
slightly higher than exports of fuels in 2012, this                                                                                                                                                                               to largely underestimate the real export value.
100        COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




          Comparing Sudan’s export data (exclud-                                     weakness in the country’s export performance. Also,
      ing crude oil) before and after the secession of                               the fact that both the share and the RCA of the cat-
      South Sudan shows the main difference being                                    egory comprising agriculture, meat, dairy and sea-
      the considerable rise of non-monetary gold in                                  food products increased between 2007 and 2012,
      2012. Figures 4.2.3 and 4.2.4 display Sudan’s                                  at the same time that those of extractive industries
      exports excluding crude oil, immediately before                                decreased, reflects the drop in crude oil exports
      and after the secession of South Sudan. As can be                              following the secession of South Sudan, which was
      readily seen, the top export products are roughly                              partially compensated for by the rise in exports of
      the same, as well as their export values, with only                            non-monetary gold. Annex 6, Table 0.14 provides
      the exception of non-monetary gold, whose exports                              an additional more detailed analysis of the RCA at
      rise considerably in 2012. Other differences with                              HS-6 level exports
      2011 data include moderate drops in the exports                                     The share of Sudanese exports destined to
      of sesame seeds and refined oil. At the same time                              the European Union has declined significantly
      exports of sheep expanded as well, consistent with                             over the past 15 years. The EU used to receive
      the presentation in Chapter 3 of this report.                                  more than half of the country’s exports until 1998,
                                                                                     which then abruptly dropped to very low percent-
      b.  Export orientation and growth                                              ages, staying below 10 percent since 2003, though
                                                                                     it picked up slightly after 2011. The U.S., the rest
      Between 2007 and 2012, Sudan showed a                                          of Europe and Central Asia, as well as the rest of
      revealed comparative advantage (RCA) in agri-                                  the world, also decreased their shares as Sudan’s
      culture, meat and dairy, and seafood, as well                                  export destinations between 1996 and 2013.
      as in extractive industries (Table 4.1). The lack                              Canada’s share has been negligible until 2005 and
      of competitive advantages in other industries,                                 is still very low since then, even though it increased
      together with the low complexity and value added                               substantially after the separation of South Sudan
      of these product categories, points out to a structural                        (Figure 4.3.1 and Table 4.2).

      Table 4.1: Change in Sudan’s Shares of Exports by Broad Productive Sectors, 2007–2012
                                                                   (1)                                 (4)
                                                                 Exports        (2)          (3)     Exports        (5)      (6)
                                                                  2007        Share         RCA       2012        Share     RCA     (7)
             Sectors                                            (US$ ‘000)   2007 (%)       2007    (US$ ‘000)   2012 (%)   2012   CAGR
       1     Abriculture, meat and dairly, seafood (HS 1–10,      350,292           4.08     1.09      691,607     13.23    4.89    14.57
             12–14)
       2     Food, beverages, tobacco, wood, paper (HS11,          44,359           0.50     0.09       92,120      1.76    0.49    15.74
             15–24, 44–48)
       3     Extractive industries (HS 25–27, 68–71)             8,038,058         93.61     5.79    4,290,219     82.07    3.50   –11.80
       4     Chemicals, plastics, rubber (HS 28–36, 38–40)          5,021           0.06     0.00        8,589      0.16    0.02    11.33
       5     Textiles, apparel, leather, footwear (HS 41–42,       71,782           0.84     0.15       30,799      0.59    0.19   –15.57
             50–65)
       6     Iron, steel, and other metals (HS 26, 72–83)          50,368           0.59     0.06       55,389      1.06    0.21     1.92
       7     Machinery, electronics, transportation equipment      20,644           0.24     0.01       56,293      1.08    0.05    22.22
             (HS 84–89)
       8     Other industries (HS 37, 43, 49, 66–67, 90–97)         2,852           0.03     0.01        1,308      0.03    0.01   –14.43
       9     HS 99                                                  7,241           0.08     0.02        1,269      0.02    0.01   –29.41
      Source: World Bank staff own calculations, based on data from UN Comtrade.
                                                                                    Goods and services trade to build endowments         101




Table 4.2: Sudan’s Total Exports Across Aggregate Destinations, 1996–2013
                                                                 DESTINATIONS
 Sudan’s                           Rest of
 Total Exports                    Europe &
 (US$ ‘000)          EU28        Central Asia         China        Rest of Asia     MENA       USA      Canada    ROW        World
 1996                144,379          8,040             38,483           55,467          43    19,635       65      4,113     270,225
 1997                194,635         13,610             23,005           70,112       21,590   12,931       52     19,806     355,741
 1998                208,384         15,584              1,467           90,987       36,701    3,350      429     15,489     372,391
 1999                161,020          9,340             53,294         173,897       181,790      63        92     47,730     627,226
 2000                246,569          7,560            731,728         608,550       141,921    1,913       87     24,781    1,763,109
 2001                219,306          4,643            938,127         491,311        95,556    3,592      484     32,334    1,785,353
 2002                230,910         18,485          1,157,585         434,971       238,962    1,458      154     20,027    2,102,553
 2003                243,586         13,498          1,441,821         715,593       226,741    3,061      159     38,216    2,682,674
 2004                208,496         14,173          1,705,877        1,633,919      318,436    3,839    11,555    30,552    3,926,848
 2005                184,741          9,799          2,614,462        2,073,633      263,425   14,082    66,409    67,086    5,293,637
 2006                145,141         13,585          1,943,482        3,466,392      304,680    6,501    63,137    96,519    6,039,436
 2007                200,789         19,347          4,171,239        3,712,186      352,068    8,072    60,513    59,569    8,583,783
 2008                190,918         24,914          6,325,890        5,940,921      549,862    5,404    64,504   193,158   13,295,571
 2009                147,697         11,259          4,684,822        2,285,461      916,546   10,732    60,105    89,371    8,205,993
 2010                128,918          6,830          6,671,907        2,137,653    1,700,399    8,801    80,596   135,241   10,870,344
 2011                476,714         11,886          9,541,534        2,892,705    2,476,802   11,238   118,343   176,517   15,705,740
 2012                190,383         14,306          1,554,267         679,768       516,851    6,991   106,421    92,335    3,161,322
 2013                237,749         29,593          2,100,023         949,589       715,081   10,904    70,696    17,003    4,130,638
 CAGR                  2.98            7.97            26.52            18.18        77.16     –3.40     50.88      8.71      17.40
 whole period
 CAGR                 –0.28          11.07              8.45             3.48        13.25     14.32     67.48     –2.86       6.77
 since 2000
 CAGR                –29.38          57.79            –53.09          –42.71        –46.27     –1.50    –22.71    –68.96     –48.72
 since 2011
Source: World Bank staff own calculations, based on data from UN Comtrade.
Note: CAGR=Compounded annual growth rate.



    Sudan’s level of exports to the EU has been                              these products have been consistently and histori-
steady but erratic, with some diversification. The                           cally sold by Sudan to the EU, while undenatured
EU’s reported imports from Sudan have fluctuated                             ethyl alcohol emerged as a significant product in
in a band from US$100 million to US$250 million                              2009. Cotton and raw hides and skins, which were
since 1996. It is significant to note that unlike the                        a large part of the EU’s exports to Sudan in the late
United States, the EU has not engaged in significant                         1990s, have declined in relative importance. Over
import bans but has participated in the financial                            the period 1997–2001, the largest classification of
sanctions. The variety of imports from Sudan has                             EU imports from Sudan is “aircraft, spacecraft, and
fluctuated over the years. As of 2013, 90 percent                            parts thereof” (HS 88), for which the story is not
of the EU’s imports from Sudan have consisted of                             obvious.
gum Arabic, sugar and sugar products, sesame seeds                                China has experienced a spectacular increase
and undenatured ethyl alcohol. The first three of                            in its share of Sudanese exports since 2000. In
102     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      2000 China’s share reached 42 percent, which                 setter in those areas. In regional markets Sudan plays
      increased thereafter—with some fluctuation—until             a similar role for sheep and sheep meat, and on an
      it reached over 60 percent in the two years preceding        emerging basis in waste and scrap of primary cells
      the secession of South Sudan. Afterward, its share           (Figure 4.3.2).51
      decreased moderately, but nevertheless continued                  Sudan is likely a price taker in its other
      to be the destination of over one half of Sudan’s            export markets, with market shares small or
      exports (Figure 4.3.1 and Table 4.2). The shares of          negligible in recent years (Figure 4.3.3). Sudan’s
      the rest of Asia and of Middle East and North Africa         global market share of crude oil abruptly fell to
      have been more variable, though relatively impor-            0.12 percent after the split in 2011. At that time, the
      tant throughout the whole analyzed period. Asia              share of raw sugar returned to its historic percent-
      peaked at 41 percent in 2004 and then slowly got             age range it had had since 2003 (around 0.2 per-
      back to its lower shares of the initial years (around        cent), which even more than doubled and reached
      20 percent). In turn, Middle East and North Africa           0.5 percent in 2013. The share of non-monetary
      reported its highest share in 1999, when it absorbed         gold sharply increased above its historic trend in
      29 percent of Sudan’s exports, and then abruptly fell        2009, when it reached 1.2 percent, and after a brief
      below 5 percent and remained at around that level            fall in the two subsequent years it escalated to 1.3
      for ten years. Since 2009 its share slowly picked            percent in 2012.
      up again, getting to 17 percent in 2013, probably                 Sudan’s main export products 52 tend to
      driven by the increases in livestock exports in that         exhibit very low diversification across desti-
      region as described in Chapter 3.                            nations, with only four of them having been
           The spectacular rise and recent fall of                 exported to more than seventeen countries
      Sudan’s exports to China is driven by oil. During            between 1996 and 2013. These more global prod-
      the period 1996 to 1998, and perhaps earlier, the            ucts are: gum arabic, which was exported at least
      dominant Sudanese export to China—based on                   once to 87 different markets; sesame seeds, exported
      China’s mirror data—was cotton. Sudan’s exports              at least once to 75 different markets; refined oil, sold
      of oil to China began in 1999, and from 1999 to              in 38 markets; and cooper waste and scrap, sold in
      2011 exceeded 98 percent of total Sudanese exports           27 markets (Figure 4.3.4). The EU is the primary
      to China in most years. Even after the departure of          market for gum arabic, MENA for sesame seeds,
      Sudan, China’s imports of Sudan were still around            and China and the rest of Asia for copper waste
      90 percent oil in 2013. The remaining exports                and scrap. Most refined oil is destined for “Rest of
      of Sudan to China consist largely of oilseeds (i.e.          World,” which includes SSA.
      sesame seeds), worth US$115 million in 2015, and                  Meanwhile, the remaining seven top export
      cotton (US$44 million), with some role for metal-            products were sold in fewer markets, ranging
      lic ores (US$17 million) and (very recently) food            between three and 17 individual countries.
      industry residues and fodder (US$11 million) as              Indeed, between 1996 and 2013, crude oil was
      well as plastics and plastic products (US$6 million).        exported to 17 countries, raw sugar not contain-
      Non-oil exports from Sudan to China have recently            ing added flavor was exported to 14 countries,
      grown dramatically, from around US$40 million in
      2009 to US$200 million in 2013.
                                                                   51
                                                                      “Waste and scrap of primary cells” refers primarily to used auto bat-
           Sudan has significant market power in global            teries shipped mainly to South Korea, which likely recycles the lead
      export markets for gum arabic and sesame seeds.              and other heavy metals to incorporate them, possibly, into batteries
                                                                   for Korean-made autos.
      Sudan’s power in global markets for gum arabic and           52
                                                                      These are the 11 products with the largest export values in Sudan’s
      sesame seeds allude to its role of being a global price      export data for year 2012. See Table 4.3 for the list.
                                                                                     Goods and services trade to build endowments        103




Table 4.3: Destinations of Sudan’s Primary Non-Crude Oil Exports
 Product                              # destinations ever sold to (1996–2013)           Primary destinations (2012–2013)
 Gum arabic                                                   87                        European Union 76%
 Sesame seeds                                                 75                        Middle East/North Africa 51%, China 27%
 Refined oil                                                  38                        Rest of World 95% (includes SSA)
 Copper waste and scrap                                       27                        Rest of Asia 62%, EU 22%, China 16%
 Crude oil                                                    17                        China 72%, Japan 18%
 Raw sugar                                                    14                        EU ~100% (Poland, Spain, Romania, Finland)
 Waste and scrap of primary cells                             10                        South Korea 93%
 Ethyl alcohol, undenatured                                   10                        EU ~100% (Netherlands, Italy, France)
 Gold, non-monetary                                            8                        United Arab Emirates 78%, unspecified 17%
 Sheep meat, fresh & chilled                                   6                        Jordan 100%
 Live sheep                                                    3                        Saudi Arabia 100%
Source: World Bank staff own calculations, based on data from UN Comtrade.




undenatured ethyl alcohol, and waste and scrap of                            both recently (just 0.8 percent between 2007 and
primary cells to 10 countries, non-monetary gold                             2012) and even less further in the past (0.09 percent
to eight countries, fresh or chilled meat of sheep to                        between 2000 and 2006), evidencing the strong
six countries, and sheep to only three individual                            recent dependence of the country on oil export and
countries in the gulf states (see also Chapter 3 on                          the vulnerability associated with lack of diversification
livestock exports).                                                               Sudan has exhibited slower growth than the
    There is considerable variability in the                                 world’s average in most of its top export products
important destinations for each of Sudan’s                                   in recent years. The notable exception is crude oil
less market-diversified main export products                                 (before 2011), which was by-and-large its main
(Table 4.3). Indeed, whereas sheep and sheep meat                            export product, and of a few other products, such
are exported mainly to countries in the MENA, raw                            as cane molasses between 2000 and 2006, and
sugar and undenatured ethyl alcohol are sold pri-                            non-monetary gold, sheep, sheep meat, and cop-
marily to European Union countries. Crude oil is                             per waste, between 2007 and 2012. This behavior
exported mainly to South and South-Eastern Asian                             can be seen from Figure 4.3.7, where the size of the
countries, and the same is true for waste and scrap                          bubble reflects the share of Sudan’s export value of
of primary cells, especially in recent years. Exports                        such product in the final year, reflecting its impor-
of non-monetary gold are more geographically                                 tance in Sudan’s export basket. When a bubble is
diversified, even though still concentrated in a small                       above the red line, it implies that Sudan’s exports
number of targeted markets.                                                  of the product it represents have grown faster than
    The analysis provides evidence of the strong                             the world exports of the same product, and simi-
recent dependence of Sudan on oil export and the                             larly that Sudan has increased its market share for
vulnerability associated with a lack of diversifica-                         that product. The top panel shows that most of the
tion. As can be seen from Figures 4.3.5 and 4.3.6                            main export products of Sudan grew more slowly
the loss of South Sudan and its indirect effects has                         than world exports of the same products between
brought an end to Sudan’s strong export performance,                         2000 and 2006. In the second period (2007–2011),
both in absolute terms and relative to comparator                            which comprises the split of the country in 2011),
countries. Non-fuel exports have grown very slowly                           sheep, sheep meat, copper waste, and especially
104      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      FIGURE 4.3: Export Growth and Orientation
                      1) Evolution of Aggregate Destinations’ shares                                                         2) Sudanese products with larger world
                            in Sudan total exports, 1996–2013                                                                        market shares, 2013
      100%                                                                                        40%

        80%
                                                                                                  30%
        60%
                                                                                                  20%
        40%
                                                                                                  10%
        20%

         0%                                                                                        0%
              1996
              1997
              1998
              1999
              2000
              2001
              2002
              2003
              2004
              2005
              2006
              2007
              2008
              2009
              2010
              2011
              2012
              2013




                                                                                                         1996

                                                                                                                     1998

                                                                                                                              2000

                                                                                                                                        2002

                                                                                                                                               2004

                                                                                                                                                          2006

                                                                                                                                                                    2008

                                                                                                                                                                               2010

                                                                                                                                                                                            2012
                     EU28         Rest of ECA         China        Rest of Asia                                         Sheep            Sesame seeds          Gum arabic
                     MENA         USA                 Canada       ROW                                                   Other meat of sheep,         Waste and scrap of
                                                                                                                         fresh or chilled             primary cells

                          3) Sudanese products with larger world                                                      4) Shares of destinations in Sudan’s exports,
                                  market shares, 2013                                                                     2006–2007 and 2012–2013 averages
      2%                                                                                         100%


      1%
                                                                                                  50%
      1%


      0%                                                                                           0%
                                                                                                           06–07 12–13 06–07 12–13 06–07 12–13 06–07 12–13
           1996
           1997
           1998
           1999
           2000
           2001
           2002
           2003
           2004
           2005
           2006
           2007
           2008
           2009
           2010
           2011
           2012
           2013




                                                                                                            Gum Arabic   Sesame      Refined oil Copper waste
                    Crude oil        Non-monetary gold         Refined oil                                                 seeds                  and scrap
                             Raw sugar not containing added flavor                                                    EU28            Rest of ECA      China                Rest of Asia
                   Copper waste and scrap         Undenatured ethyl alcohol                                          MENA            USA              Canada               Rest of World

                           5) Export growth around the world,                                                               6) Export growth around the world,
                             all products including oil, 2013                                                                 all products excluding oil, 2013
        23                24           24                                                                                                 23
                                                                                  19                                         22
                  17 16                                                 19
             13                                           12 12
                             10 10 8                                         11                                      17 16
                                                      8
                                                                  5 5                                           15
                                                                                                                                                                 12 11
                                                                                                                                10                                                 10
                                                                                                                                       9                                                8
                                                                                                          8                                8              8
                                                                                                                                                      6                                       6
                                                                                                                                                                               5
                                                                                                                                                                           4
                                                –18
                   2000–2006                               2007–2012                                                  2000–2006                                   2007–2012
                                  Sudan         Kenya       Ethiopia         Uganda    Egypt   Morocco           Gahna          Indonesia          Mongolia

      Source: World Bank staff own calculations, based on data used from UN Comtrade.
      Note: (4) and (5): Data for Sudan in the second period were built by appending 2012 data for the new definition of Sudan (SUD). Data for Mongolia in the
      second period only span 2007–2010 due to lack of export data covering 2011 and 2012.
                                                                                                                                     (continued on next page)
                                                                                               Goods and services trade to build endowments                           105




FIGURE 4.3: Export Growth and Orientation (continued)
                       7) Growth of former Sudan’s exports to                                   8) Growth of former Sudan’s exports to
                    its top 10 products relative to World exports                          its top 10 destinations relative to World exports

 30                                                                                 30                                                     CHN        ARE
                                                            Crude oil
 20                                                                                 20                                 JPN
                                    Cane molasses
                                                         Sheep        Gum arabic    10                                                            IDN
 10
                                                Cotton                                                                        EGY    SAU
                           Sesamum seeds                  Gold                       0
  0
                                                         Other vegetables                                                                       SYR
                                                                                   –10                                 GRB
–10                      Sheep meat
                                                    Other oil seeds                –20                                 SGP
–20                                                                                                                                  ITA
      –20          –10              0          10                20           30         –20         –10          0             10               20              30

               Sudan Growth (2000–2006)                   45 degrees line                      Sudan Growth (2000–2006)                    45 degrees line


 40                                                                                                                   ARE
            Sheep meat                                           Gold               60
                           Sheep
 30                                                                                                   ITA
                                                                                    40                          ETH
 20                            Cooper waste
                                                                                    20                  SAU CHN
                                                     Sesamum seeds                                    CAN
 10                           Crude Refined oil                                                                  IND
                                oil Other waste                                                           THA
                                                                                     0
  0                                                 Gum arabic                                                  JPN

                                   Cotton                                          –20
–10                                                                                                                     IDN
      –10           0              10          20                30           40         –20            0              20                  40               60
               Sudan Growth (2007–2011)                   45 degrees line                      Sudan Growth (2007–2011)                    45 degrees line

Source: World Bank staff own calculations, based on data used from UN Comtrade.




gold improved their growth performance outpacing                                    United Arab Emirates, and Japan between 2000 and
the global average, at the same time that exports of                                2006, between 2007 and 2011 its exports to seven
crude oil slowed down, performing approximately                                     of its top ten destinations grew faster than the world
par to the world average.                                                           average, thus expanding Sudan’s market share in all
    On the other hand, Sudan has shown a rela-                                      of them. It is worth noting that exports to China,
tively better performance in terms of market                                        which is by far Sudan’s most important destination
diversification, which has markedly improved                                        in both sub-periods, have always grown faster than
in recent years. This is shown in Figure 4.3.8,                                     the world average, even though this advantage is
where the size of each bubble reflects the share of                                 less marked in more recent years.
Sudan’s export value to such destination in the final
year, accounting for its relative importance. When a                                c.  Export diversification and survival
bubble is above the red line, it implies that Sudan’s
exports to that destination have grown faster than                                  Export diversification
the world exports to it, and similarly that Sudan has                               Sudan’s export basket is very concentrated,
increased its market share in such market. Whereas                                  as shown the large shares of its top three and
Sudan’s world market share only increased in China,                                 five export products, but the degree of product
106     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      concentration decreases when looking at non-oil              2010 and 2012 (Figure 4.4.5). This confirms the
      exports. Even though these measures have tended              conjecture suggested by the indicators on exporter
      to decrease after the split of the country, especially       size that the concentration among Sudanese export-
      in the case of the top three products, the figures still     ers is increasing substantially during this period (see
      evidence a severe dependence of Sudan upon few               the previous discussion of Figure 4.1).
      commodities. However, the degree of product con-                  The diversification of Sudan across desti-
      centration decreases considerably when only non-             nation markets is also low, and has remained
      fuel products are considered (compare Figure 4.4.1           approximately constant (Figure 4.4.6). It is also
      with Figure 4.4.2). As figure 4.4.2 also shows, the          much lower than that of most of its comparators,
      measured concentration of non-fuel exports has               with only Mongolia exhibiting a worse performance
      increased markedly in the last few years. This is            than Sudan in this respect. Together with the low
      explained by the emergence of gold exports, which            product diversification of the country, this evidences
      became Sudan’s second largest export in 2009 (and            a highly vulnerable situation of the country in its
      largest non-oil export). This implies that after the         integration into global markets.
      secession of South Sudan, the country may have                    Using exporter-level data confirms both find-
      been forced into a path of higher product diversifi-         ings of low diversification in product and des-
      cation, which could work to its advantage in future.         tination markets. In fact, it shows that the degree
      Even though the share of the top three and five non-         of diversification of Sudan’s non-oil exporters is
      oil products have increased after the secession of           low in absolute and in relative terms. Firm-level
      South Sudan, they are still relatively low. However          evidence suggests that most exporters have a very
      the number of products, which always had been                limited portfolio of products and destination mar-
      low, showed a mild increase between 2006 and                 kets. Interestingly, Sudan’s non-oil exporters are
      2011, but fell again after the split of the country.         quite homogenous in their low product diversifi-
           The lack of product diversification of                  cation as the standard deviation of the number of
      Sudanese exports also stands out when com-                   products per exporter in the country is 3 compared
      pared to peer countries, as evidenced by its com-            to standard deviations of 6 and 9, respectively, in
      paratively much higher Herfindahl-Hirschman                  Ethiopia and Tanzania. In terms of destination mar-
      index.53 This has furthermore increased in recent            ket diversification, most of the African comparators
      years, while in many of its comparators it has actu-         are similar, with a median number of destination
      ally decreased. This points out to a comparatively           countries per firm of 1 and a standard deviation of
      disadvantaged position, both static and dynamic.             close to 3. Sudan falls closely within those ranges
      Figure 4.4.3 presents the index comparing Sudan              (World Bank Exporter Dynamics Database).
      and some comparator countries.                                    A few multi-product multi-destination
           Using exporter-level data and calculating the           exporters typically amass the majority of total
      Herfindahl index confirms the observed high                  exports in a country, but less so in developing
      level of concentration. The Herfindahl index of              countries including Sudan. Large firms often
      exporter market shares is similar to Figure 4.4.3 and        define exports from one country; well-known exam-
      shows that in Sudan is significantly higher than in          ples include Nokia in Finland, Samsung in Korea,
      other countries (Figure 4.4.4). Indeed, again, Sudan
      exhibits the highest level of concentration among
      its regional comparators. In addition, there is actu-        53
                                                                      The Herfindahl-Hirschman index is calculated as the sum of the
                                                                   squared market shares for all products. Higher values indicate in-
      ally an observable increase in the Herfindahl index          creasing concentration, with a maximum score of 1.0 when there is
      of Sudanese exporter shares particularly between             a single product.
                                                                                                                     Goods and services trade to build endowments                              107




FIGURE 4.4: Export Concentration and Survival
                                           1) Export concentration in terms of all products,                             2) Export concentration in terms of all products,
                                                            including oil                                                                 excluding oil
1.00                                                                                               150      0.60                                                                         150

                                                                                                            0.50
0.95
                                                                                                   100      0.40                                                                         100

0.90                                                                                                        0.30

                                                                                                   50       0.20                                                                         50
0.85
                                                                                                            0.10

0.80                                                                                               0        0.00                                                                         0
                                             2006                2011                2012                                  2006                      2011                 2012
                                           Share of top 3 products      Share of top 5 products                          Share of top 3 products      Share of top 5 products
                                                             Number of products                                                            Number of products

                                            3) Herfindahl-Hirschman Index at the products level,                                   4) Herfindahl index of exporter shares,
                                                      Sudan and selected countries                                                    Sudan and selected countries
1.0
                                                                                                            Sudan                                                                       0.16
                                                                                                           Zambia                                                            0.14
                                                                                                          Tanzania                            0.06
0.5                                                                                                      Cameroon                 0.03
                                                                                                           Uganda               0.02
                                                                                                          Ethiopia       0.01
                                                                                                            Kenya        0.01
0.0
                                           Average 2000–2006                Average 2007–2012                        0                 0.05                 0.10                 0.15
                                        Egypt, Arab Rep.       Ethiopia   Gahna    Indonesia                                     Herfindahl index of exporter shares
                                       Kenya      Morocco        Mongolia   Uganda     Sudan

                                                    5) Herfindahl index of exporter shares,                                      6) Sudan‘s export concentration in terms of
                                                           change over time, Sudan                                                         destination markets
                                     0.4                                                                      1.0                                                                        127
Herfindahl index of exporter shares




                                                                                                                         0.90     0.94                             0.93
                                                                                                              0.8                                           0.88                         126
                                     0.3
                                                                                                                                                                    126                  125
                                                                                                              0.6
                                     0.2                                                                                                                                                 124
                                                                                                              0.4                 123                                       0.40
                                                                                                                                          0.35
                                                                                                                                                                                         123
                                     0.1
                                                                                                              0.2                                                                        122
                                      0                                                                       0.0                                                                        121
                                       2008            2009          2010          2011           2012                            2006                             2011
                                                                                                                         Share of top 3 markets             Share of top 5 markets
                                                                                                                         HH market index                    Number of markets

Source: World Bank staff own calculations, based on data used from UN Comtrade; and the World Bank Exporter Dynamics Database.
Note: (4) and (5) is based on exporter level data. It shows the same trend as UN Comtrade data.
                                                                                                                       (continued on next page)
108      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      FIGURE 4.4: Export Concentration and Survival (continued)
                     7) Decomposition of Sudanese export growth                                             8) Export survival rates of Sudan compared to
                         along margins of trade in recent years                                                      peer countries (2000–2011)
                                              126
      125                                                                               100
             112
      105                                                                                90
                                                                                         80
       85
                                                                                         70
       65                                                                                60
       45                                                                                50
       25                                                                                40
                         0.1 0.5 0.6 4.0                    0.1 1.0 0.5 1.9              30
        5
                                                                                         20
      –15          –6 –11                                                                10
                                                     –14 –15
                                                                                          0
              Export growth decomposition        Export growth decomposition




                                                                                              2000

                                                                                                     2001

                                                                                                              2002

                                                                                                                     2003

                                                                                                                            2004

                                                                                                                                   2005

                                                                                                                                            2006

                                                                                                                                                   2007

                                                                                                                                                          2008

                                                                                                                                                                  2009

                                                                                                                                                                         2010

                                                                                                                                                                                2011
                      2000–2006                          2007–2012
               1 Increase of existing products in established markets                                           Sudan                     Ghana                  Egypt
               2 Decrease in existing products in established markets                                           Indonesia                 Ethiopia               Morocco
               3 Extinction of exports of products in established markets                                       Kenya                     Mongolia               Uganda
               4 Introduction of new products in new markets
               5 Introduction of new products in established markets
               6 Introduction of existing products in new markets
               7 Product diversification in established markets

      Source: World Bank staff own calculations, based on data used from UN Comtrade.



      and Intel in Costa Rica (Freund and Pierola 2012).                          new destination markets. Indeed, not only has
      But Sudanese exporters are poorly diversified both                          the country had almost no other export increases
      in terms of products and destinations. They exhibit                         beyond those attributed to the expansion of existing
      significantly lower numbers of HS 6-digit products                          products to established markets, but also has even
      exported per firm and significantly lower number of                         experienced decreases and even the extinction of
      destination markets per firm than comparable coun-                          such traditional products in traditional markets.
      tries. This poor diversification performance is also                        Furthermore, these last indicators have worsened
      explained by the absence of a few highly diversified                        in recent years (Figure 4.4.7).
      multi-product multi-destination export superstars                               When compared to peer countries, the sur-
      dominating exports, a phenomenon commonly                                   vival rates of Sudan are almost always the lowest
      observed in other countries. In Sudan in 2012, only                         since the early 2000s (Figure 4.4.8). This shows a
      2 percent of Sudanese exporters sold more than ten                          very fundamental weakness of the country and fol-
      products and surprisingly they accounted for just 3                         lows naturally from the low performance it has shown
      percent of total non-oil exports. See also Annex 6,                         in all the indicators that have been evaluated so far,
      Table 0.15 for details on the distribution of export-                       both in absolute terms and compared to its peers.
      ers across products and destination.
                                                                                  B. Services Trade
      Export survival
      The analysis of Sudan’s exports across the exten-                           a. Overview
      sive and intensive margins of trade evidences
      the lack of capacity of the country to expand                               Services and trade-in-services have an important
      its range of exported products and to explore                               role in economic diversification. Services are
                                                               Goods and services trade to build endowments      109




essential intermediate inputs and have the poten-       constraints to the provision of adequate professional
tial to enhance productivity and increase technol-      services in Sudan. The section shows the importance
ogy and skills transfers through significant positive   of both exports and imports of high-value added,
spillover effects throughout the economy. Services      sophisticated services and professional skills for
sectors can help Sudan diversify its economy and        export diversification and increased competitive-
reduce poverty. For example, while the agricultural     ness. The chapter also illustrates how regulatory and
sector is viewed as an important engine of growth, it   trade policy reforms can be coordinated as part of
has remained far below its potential and the country    regional and multilateral negotiations. Policy recom-
has stayed a net importer of agricultural products.     mendations call for action in four areas: education,
The productivity of farms will have to improve to       regulation of professional services, trade policy,
increase agriculture production. That means better      and labor mobility at both the national and inter-
transport infrastructure, agricultural technology,      national level.
and support services including financing.                    There is also potential for Sudan to develop its
     Sudan’s economy faces numerous challenges          Tourism sector based on its rich history, but there
that hamper the development of the services sec-        are also great challenges. Box 4.2 describes the
tor. While services such as transport and logistics,    potential, but also the great challenges for tourism.
financial services, or energy are addressed in the      From the analysis, which was originally carried out
context of various World Bank or other develop-         for the DTIS Update in 2014, it is clear that develop-
ment partner projects, higher-value knowledge-          ing the tourism sector is a long-term endeavor that is
intensive services such as business services remain     closely linked to the country image of Sudan and the
largely neglected.                                      fact that sanctions imposed on Sudan prevent tour-
     Weak regulatory frameworks characterize            ism technology to facilitate the sector’s development.
most business services sectors. While regulatory
self-assessments by ministries and regulators seem      b.  Trade-in-Services in Sudan
to suggest that the frameworks in place are adequate,
the private sector points to numerous regulatory        Sudan’s share of services Value Added (VA) in
weaknesses. Also, stakeholders from both the pub-       GDP is lower than expected for a country at its
lic and the private sectors mentioned the absence       level of development. A comparative assessment
of adequate regulations and standards. There seems      of the share of services VA in GDP for Sudan and
to be a strong interest in developing the necessary     selected Sub-Saharan African countries reveals that
regulatory framework using “good practice” from         Sudan’s falls below the fitted curve in 2000–2 and
the region or elsewhere as guidance. Additional         2010–12, implying a smaller services sector than
constraints in business services sectors are skills     expected for the country’s level of development
shortages and mismatches.                               (Figure 4.5.1).
     This section focuses on professional ser-              Services export growth remains below that
vices, a set of higher-value knowledge-intensive        of goods exports and GDP growth. Sudan stands
services sectors that are characterized by high         in stark contrast with most neighboring countries
regulatory intensity and are crucial for skills         regarding growth of services exports compared to
generation, which in turn are essential for diver-      that of goods exports and GDP. While most Sub-
sifying the human capital endowment of a coun-          Saharan African countries register more dynamic
try. A diagnostic of professional services markets      growth rates for services as compared to goods
in Sudan based on a recent World Bank Survey on         exports or GDP growth, Sudan’s services exports
Professional Services highlights the demand and the     performance remains below potential (Figure 4.5.2).
110   COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      BOX 4.2: Tourism in Sudan: Great Potential, Great Challenges
      Rich history and great potential
      Sudan has an opportunity to become an important global tourism destination. While largely unknown, Sudan has compelling
      attractions that could be of strong interest to tourists that seek out culture, adventure, wildlife, and scuba diving opportunities.
      Realizing this potential requires the removal of regulatory and policy constraints, ensuring stability and security, and improving the
      country’s image in international markets. Addressing these issues will provide the foundation for a productive and dynamic tourism
      sector in Sudan that can make significant contributions to economic growth, employment generation, cultural and environmental
      preservation, and social inclusion.
         Sudan is home to a number of world-class tourism attractions based on its unique cultural and natural resources. However, the
      reality of a country rich in natural and cultural resources has been overshadowed by the negative consequences of a lengthy civil war
      and social conflict culminating in the secession of South Sudan in July 2011. Even after South Sudan’s secession in July 2011, Sudan
      continues to suffer from insecurity, be it the conflicts in the states border South Sudan (South Kordofan, Blue Nile), the Darfur areas,
      or Red Sea states, which all, at various intensities show some level of conflict.
         In terms of culture, the country is well endowed with temples, monuments, and tombs dating back to the time of ancient Egypt, with
      which the Sudanese lands were closely connected. In fact, Sudan hosts a collection of pyramids that even outnumbers those found in Egypt.
      The influences of Christianity (6th century) and Islam (7th century) are also reflected in churches, mosques, and numerous religious antiquities.
         The country has a diversity of natural attractions in line with its varied ecosystems. The West is characterized by semi-desert
      conditions, the North is dominated by the arid Nubian Desert, the East contains over 700km of Red Sea Coast, and the South contains
      forested mountains, swamps, and rainforest. The country has eight national parks, two of which are marine-based. Some of the land-
      based parks have pockets of terrestrial wildlife that attract tourists interested in safaris. There is also a small hunting market. Yet the
      country’s top nature tourism product is scuba diving along the well-preserved coral reefs that line the Red Sea Coast.
      Great challenges ahead
      But issues related to the Sudan’s country image prevail as the key obstacle to further development of the tourism sector. Addressing those
      issues requires a demonstrable commitment to tourism by enacting key policy changes. Image problems are particularly prevalent among
      post-conflict countries. Yet many countries, particularly in Africa, have seen success in their post-conflict tourism development efforts. Sudan
      needs to take some critical initial steps, firstly reducing the bureaucracy and red tape required for obtaining visas, permits, and licenses.
      Sudan needs to show that it is open to tourism and truly work towards its facilitation. Without stability and security, tourist development
      efforts will yield limited returns. With them, and in combination with effective sector stewardship, the country’s image will improve.
         The current visa regime is not conducive to tourism. Unlike most other export sectors, tourism depends upon the customer coming
      to the place where the products and services are supplied. As this entails cross-border movements of tourists, immigration and entry/
      exit control regulations play an important role in the sector. Travel to Sudan is bureaucratic, time consuming, and expensive for the
      tourist. Unlike nearly every other country in Africa, no tourists are eligible to obtain visas on arrival in Sudan. Instead, all tourists need
      to procure visas prior to arrival (or work with a registered local tour operator who can arrange for a counter visa for an additional
      cost). This process is not only expensive (approximate visa cost is US$100) but also requires the additional logistical burden of having
      to acquire a letter of invitation/introduction. Those not living in cities with a Sudanese consulate must bear the additional costs of
      sending application materials to a Sudanese consulate through a courier service.
         In-country bureaucratic procedures are an impediment to the free flow of tourists. Visitors are required to register with the Ministry
      of Interior within three days of entering the country. Registration costs US$60 in Khartoum and can consume the better part of a day.
      Alternatively many hotels will complete the registration on behalf of the tourist, but this still entails the tourist spending at least 24 hours
      in Khartoum before proceeding to the desired destination. Registration can be also done at the Red Sea for tourists that fly directly
      into Port Sudan. Additionally, tourists are required to obtain permits from the Ministry of Tourism for land travel and photography of
      any kind (at no cost). These extra burdens and costs, for which no parallel can be found within countries trying to promote tourism,
      act as a strong deterrent to prospective tourists.
         U.S. sanctions against Sudan blocks access to tourism technology and use of credit cards. The U.S. embargo has had a negative
      impact on tourism to the country, both in terms of creating a much more challenging business environment for operators as well as
      creating a major inconvenience for tourists. Tourism businesses face major challenges when trying to obtain essential equipment such
      as commonly used front desk and restaurant management systems. Without the ability to use credit cards, they must spend time and
      money to obtain licenses in order to make international transfers of funds. The embargo also results in high transactional costs for
      tour operators and hotel owners to receive funds sent by international tour operators via non-commercial banking systems such as
      Western Union or wired through third-party accounts in neighboring countries.
         Most importantly, international tourists are accustomed to using a credit card to guarantee services prior to arrivals or paying
      for services once in the country. Many also rely upon being able to withdraw local currency through ATM machines. Yet, as ATM and
      credit cards are not accepted in Sudan, tourists are forced to bring all the funds needed for their trip in cash. For example, a family of
      four visiting the country for 10 days (at an average expenditure rate of US$150 per person) would need to carry US$6,000. This is not
      only a major inconvenience, but also creates safety concerns. Likewise, it represents an added risk to tourism businesses, which have
      to ensure services (accommodations or tours) without a guarantee of being paid in case the tourists do not appear.

      Source: Excerpt from World Bank 2014e.
                                                                                                                                             Goods and services trade to build endowments                        111




FIGURE 4.5: Trade-in-Services in Sudan
                                                                      1) Services Value Added and Development in 2000–02 versus 2010–12
                                100                                                                                                          100
Average services value added




                                                                                                              Average services value added
                                                                                                                                                                                            SYC
  as % of GDP, 2000−02




                                                                                                                as % of GDP, 2010−12
                                    80                                                                                                        80
                                                                               SYC                                                                                              MUS
                                                                         MUS
                                    60     RWA ZMB                                                                                            60       UGA RWA      KEN
                                       MOZ         KEN                                                                                                MWI
                                        MWI UGA                                                                                                                       SDN
                                    40             SDN                                                                                        40          MOZ ZMB

                                    20                                                                                                        20
                                             6                  8                 10                12                                                6                8                   10               12
                                                 Average log GDP per capita PPP, 2000−02                                                                      Average log GDP per capita PPP, 2010−12

                                         2) Sudan‘s Exports of Goods, Exports of Services,                                                                      3) Exports of Transport, Travel, and
                                                   and GDP Growth, 2005–2012                                                                              Other Commercial Services, Sudan, 2005–2012
                               25                                                                                                             25

                               20                                                                                                             20
Index 2005 = 1




                               15                                                                                           Index 2005 = 1    15

                               10                                                                                                             10

                                5                                                                                                                 5

                                0                                                                                                                 0
                                     2005 2006 2007 2008 2009 2010 2011 2012                                                                          2005 2006 2007 2008 2009 2010 2011 2012
                                         Exports of goods           Exports of service        GDP                                                         Other commercial            Transport    Travel

                                                                                              4) Services Imports, Sudan and COMESA


                                                       COMESA 2012



                                                            Sudan 2012



                                                            Sudan 2005


                                                                         0               20              40                                  60                80             100
                                                                          Transport      Travel     Communications                           Construction       Insurance
                                                                          Financial      ICT        Royalties                                OBS                Personal recreation

Source: World Bank staff own calculations, based on data from World Bank, World Development Indicators.
Note: (1) The figure shows scatter plots of average services value added as a percentage of GDP against the log of average GDP per capita in purchas-
ing power parity (PPP, current international US$) for the periods 2000–2002 (left panel) and 2010–2012 (right panel). The line indicates the fitted values
obtained by a linear prediction of the relationship between share of services in total value added and income per capita.




    Sudan registers more dynamic growth rates                                                                 suggests the existence of some modern services
for other commercial services exports than for                                                                (Figure 4.5.3). This suggests that some modern,
exports of travel or transport services, a fact that                                                          high-value-added services sectors already contribute
112     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      to export diversification and provide new oppor-             the constraints to the development of professional
      tunities for export development. Indeed, a recent            services, showing how inadequate domestic regula-
      survey of providers of professional services carried         tions in conjunction with a lack of regional coop-
      out by the World Bank shows that about one-third             eration holds back the development of the national
      of respondents in Sudan reported exports of ser-             markets for services, and creates skills shortages and
      vices in 2011 (19 out of 60), a higher proportion            skills mismatches, all of which have negative implica-
      than in most COMESA countries (15.7 percent at               tions for competitiveness and limit exports.
      the COMESA level). These exports of professional
      services concerned, for the most part, regional cli-            Professional services matter for Sudan’s
                                                                   c. 
      ents, and represented on average a third of exporters’          growth
      total revenue. This suggests that there is potential
      to develop Sudan’s services exports provided an              Professional services contribute directly and
      appropriate trade policy and regulatory framework            indirectly to economic growth, including low-
      are put in place and obstacles faced by profession-          ering transactions costs and creating spillover
      als are lifted domestically and at the regional level.       effects of knowledge to other sectors. For exam-
           Sudan’s services imports are undiversified.             ple, engineering and IT services are knowledge-
      Imports of services can drive Sudan’s competitive-           intensive sectors essential to the productivity and
      ness. Imports of intermediate inputs such as trans-          sustainability of other economic activities, includ-
      port services, construction, insurance, and other            ing the oil sector. Civil engineering is critical for
      business services can improve the productivity of            the development and maintenance of a country’s
      manufacturing and services firms. Also, services             physical infrastructure, while electrical engineer-
      can help address shortages in crucial sectors of the         ing is important to the operation of public net-
      economy. For example, imports of professionals               works such as utilities or commercial facilities and
      help alleviate Sudan’s skills shortages in health-           communication systems (Cattaneo et al. 2010).
      care, education, or professional services. However,          IT-based services including application services
      at this stage Sudan’s services imports are for the           (such as application development and maintenance,
      most part comprised of transport and travel ser-             system integration, IT infrastructure services, and
      vices (Figure 4.5.4). Sudan’s access to competitive          IT consulting), or IT engineering services (such as
      services from which to draw high quality services            manufacturing, engineering, and software product
      inputs is inadequate. Poor access to such critical           development) also have an important impact on
      services translates into a competitive disadvan-             productivity and growth. Accountancy is critical for
      tage in any sector, be it services, manufacturing            accountability, sound financial management, and
      or agriculture. The fragmentation (by restrictive            good corporate governance (Trolliet et al. 2003).
      regulatory policies and regulatory heterogeneity) of             Users of professional services in Sudan are
      regional markets for these services prevents Sudan           more productive than non-users. Data from the
      from fully benefiting from the potential gains from          World Bank Survey of Users of Professional Services
      greater trade-in-services. Again, regional coopera-          in Sudan show that firms that use accounting ser-
      tion to facilitate the movement of various profes-           vices—whether externally outsourced or provided
      sionals could help address skills shortages or gaps          in-house—have higher average labor productivity
      in relevant sectors.                                         than firms without such professional services link-
           Ensuring efficient access to a wide range of            ages (Figure 4.6.1). Also, the labor productivity gap
      services is a key determinant in international com-          between users and non-users of accounting services is
      petitiveness and efficiency. This chapter identifies         higher in Sudan as compared to the COMESA average.
                                                                 Goods and services trade to build endowments      113




     Respondents to the World Bank Survey of              The high usage of professional services and the
Users of Professional Services listed a number            higher productivity of Sudanese firms that use pro-
of channels through which professional ser-               fessional services than that of non-users may suggest
vices affect their productivity and performance.          that professional services are equally important for
While many respondents indicated that they use            the development of the economy as they are in more
accounting services because of statutory require-         developed economies.
ments, they also name accounting services as useful            Despite demand for professional services
for maintaining and improving existing activities         Sudan is characterized by limited availability
within enterprises and as helpful in accessing loans.     of professionals and skills mismatches in engi-
Accounting and audit services also help manage            neering and accounting services. While detailed
costs, expenses, and income of the firm, disclose         data on the exact magnitude of professional skills
the company’s financial health, undertake future          shortages in Sudan is unavailable, consultations with
planning, and comply with tax laws and require-           practitioners confirmed that the current demand for
ments. Engineering services help firms understand         qualified accountants or engineers in Sudan is grow-
technological advancements and how to use them            ing and is much larger than the available supply.
effectively to construct, install, and maintain their          Supply of professional services is limited by
machinery in normal operating condition. Still,           rent-seeking opportunities. Even though profes-
such knowledge-intensive services remain largely          sionals in Sudan receive high nominal wages rela-
neglected and their development and export poten-         tive to their counterparts in other African countries,
tial remains overlooked.                                  reflecting their scarcity relative to demand for their
     The business surveys undertaken in Sudan             services, interviews revealed that there are limited
report a high level of demand for professional            incentives to become and practice as a professional
services by the surveyed firms. The results of the        in Sudan given rent-seeking opportunities in the
user surveys (Figure 4.6.2) suggest that account-         public and the oil sectors. A more severe scarcity
ing, engineering, and legal services are important        of engineers as compared to that of accountants
intermediate inputs in the production of many sec-        in Sudan is reflected by the earnings differential
tors with more than 50 percent of all interviewed         between those two types of professionals (compare
enterprises using such services at least once per year.   Figures 4.6.5 and 4.6.6).
Demand for these services is expected to increase              It is worth noting that discussions with the
with economic growth in Sudan.                            private sector revealed that Sudan is facing not
     There is demand for basic and more sophis-           only a shortage of highly skilled professionals
ticated professional services. The surveys show           but also middle-level skills shortages. Middle-
that there is demand for all types of services, from      level professionals who can provide services to
accounting and auditing, to tax advice and man-           underserved client segments and produce large
agement consulting. Financial auditing is the main        economic gains are sometimes an underappreciated
source of revenue for accounting and auditing             category of professionals. For example, accounting
firms in Sudan, followed by accounting/bookkeep-          technicians can provide basic recordkeeping ser-
ing and management consulting and tax advice              vices needed by SMEs. Engineering technicians can
(Figure 4.6.3). Engineering firms in Sudan earn, on       provide basic or standardized engineering services
average, the largest fraction of their revenues from      and are crucial in supporting engineering projects.
providing planning and managing maintenance,              Thus, the absence of middle-level professionals in
survey sites, other services related to engineering,      Sudan needs to be addressed. In the context of the
and project management services (Figure 4.6.4).           shortages of professionals at all levels and given
114        COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      FIGURE 4.6: Professional Services in Sudan
                  1) Average Productivity of Users vs. Non-Users of
                      Accounting Services, Sudan and COMESA                                                       2) Usage of Professional Services, Sudan
      14                                                                                       100
      12
                                                                                                 80
      10
      8                                                                                          60

      6                                                                                          40
      4
                                                                                                 20
      2
      0                                                                                           0
                  Accounting – Sudan               Accounting – COMESA                                  Accounting        Architecture    Engineering           Legal
                                 Users        Non-users                                                                       Users       Non-users

                        3) Demand for accounting services in Sudan                                           4) Demand for engineering services in Sudan
                                                                                       Planning and managing                                                            19%
                                                                          71%       maintenance, survey sites                                  10%
           Financial auditing                                                                    Other services
                                                        41%                                                                                                         18%
                                                                                         related to engineering                          8%
                                                                                          Project management                                                      17%
                    Accouting        13%                                        (incl. monitoring of execution)                                    12%
           (incl. bookeeping)                23%                                        Engineering consulting                                              15%
                                                                                                                                                                   18%
                                                                                         Design and planning                                   10%
               Management         11%                                                                                                                 13%
                 consulting          12%                                                    Constuction cost                       6%
                                                                                                management                               8%
                                                                                         Tender and contract                       6%
                                5%                                                             administration                                         13%
                  Tax advice
                                     12%                                                   Feasability studies                  5%
                                                                                                                                              9%
                                                                                 Environmental assessments             2%
             Other services 1%                                                                                                  5%
      related to accounting    11%                                                   Testing and certification        1%
                                                                                                                              4%
                                           Sudan        COMESA                                                                        Sudan          COMESA

                     5) Average Gross Monthly Salaries in Sudan:                                           6) Average Gross Monthly Salaries in Sudan:
                              Accounting professionals                                                              Engineering professionals

                1,514                                                                                  1,552


                       1,098                                                                                 1,088              1,033
                                       948
                                              733                                                                                        732

                                                              464                                                                                         486
                                                                    417                                                                                           404



                  Managers        Senior professional     Junior professional                           Managers            Senior professional       Junior professional
                                 Sudan        COMESA                                                                        Sudan        COMESA

                                                                                                                                               (continued on next page)
                                                                                           Goods and services trade to build endowments                      115




FIGURE 4.6: Professional Services in Sudan (continued)
                                       7) Top Regulatory Constraints Faced by Professional Services Providers in Sudan

   Transparency of public procurement procedures (%)
  Requirements to participate in public procurement (%)
Speed of accreditation and qualification procedures (%)
                     Speed of licensing procedures (%)
                              Number of ompetiors (%)
                                         Fees/prices (%)
                               Technical standards (%)
                         Advertising and marketing (%)
       Accreditation and qualification requirements (%)
                            Licensing requirements (%)
               Cooperation between professsionals (%)
                            Shared exclusive rights (%)
                          Multidisciplinary activities (%)

                                                             –   10         20           30          40          50          60           70          80

Source: World Bank staff own calculations, based on data from World Bank Surveys of professional services in COMESA (2013).




that it is less costly and less time consuming to                                measures affect the entry and operation of profes-
train middle-level professionals, the development                                sionals and professional services firms, and can
of middle-level/technical professionals should be                                undermine competition and constrain the growth
Sudan’s priority in terms of skills formation.                                   of the sector.
     Weaknesses in primary, secondary, and ter-                                      Based on the results of a regulatory self-
tiary education limit the ability of students to                                 assessment performed by Sudanese ministries
acquire professional skills. Factors related to edu-                             and professional associations, Sudan seems to
cation, domestic regulation, trade, and labor mobility                           have a moderate regulatory framework for pro-
explain skills shortages and skills mismatches in pro-                           fessional services. Entry requirements, such as pre-
fessional services in Sudan. From a regional perspec-                            qualification requirements, licensing or membership
tive, enrollment in higher education is higher in Sudan                          in a professional association, as well as regulations
than in other Sub-Saharan African countries and is                               affecting the conduct/operations of professional ser-
similar to that in Middle Eastern and North African                              vice providers such as price regulations, advertising
countries, but the education sector shows weak learn-                            prohibitions, or restrictions on multidisciplinary
ing outcomes at all levels (World Bank 2012). Given                              activities, tend to be less stringent in Sudan than in
the relatively high enrollment rate in higher education,                         neighboring countries. For instance, according to
it is important that students acquire the skills that                            the interviewed authorities, the range of exclusive
match those needed by the labor market.                                          activities reserved for engineering and legal profes-
     A weak regulatory framework can explain                                     sionals in Sudan are among the least restrictive in
the underdevelopment and the segmentation of                                     Sub-Saharan African countries.54 Also, there are no
markets for professional services. Professional
services have traditionally been subject to a high
degree of regulation, as a result of direct governmen-                           54
                                                                                    Highly skilled professionals in the different professional services
                                                                                 sectors generally have exclusive rights to perform certain activities
tal regulation and of rules adopted by self-regulatory                           (e.g., auditing, representation of clients before courts, advice on legal
bodies (professional associations). These regulatory                             matters, feasibility studies, design and planning).
116     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      price regulations affecting professional services, and       services in Sudan include: nationality requirements
      advertising prohibitions concern only accounting             to provide certain professional services, prohibi-
      services. A more detailed description of the regula-         tions against using the name of the parent com-
      tory frameworks in all examined professional ser-            pany, requirements to employ a certain percentage
      vices in Sudan is presented in Box 4.2.                      of nationals, and restrictions on the composition of
           The private sector identifies several regu-             management of foreign professional firms established
      latory barriers affecting professional services              in Sudan. Foreign professional degrees are recog-
      in Sudan. Additional information on the severity             nized on an ad-hoc basis. Similarly, work permits
      of regulatory barriers comes from the 2012–13                are allocated and extended on a case-by-case basis.
      World Bank business surveys and is presented in              The public procurement of government contracts
      Figure 4.6.7. This suggests that transparency and            for accounting and legal services are also quite rigor-
      requirements to participate in public procurement            ous in Sudan—foreign providers to the government
      as well as the speed of accreditation and qualifica-         cannot sell numerous services. There are ownership
      tions procedures are among the top regulatory con-           and control limits and restrictions on the form of
      straints faced by professional services providers in         entry for foreign firms in all professional services
      Sudan. Restrictions affecting competition such as            sectors. In terms of trade restrictions on importing
      advertising prohibitions and fees/price regulations          professional services through mode 1—cross-border
      are also important barriers for business.                    trade—there is little possibility for a domestic resi-
           Trade barriers and immigration regulation               dent firm/individual to obtain professional services
      can explain the segmentation of markets for                  directly from a foreign professional services firm or
      professional services. Trade barriers can limit              office located outside the country.
      competition and the efficiency of professional ser-               The national markets for professionals and
      vice providers. In general, foreign entry restrictions       professional services in Sudan remain underde-
      include: i) restrictions on the movement of natural          veloped. The main priorities relate to coordinating
      persons (nationality and residency requirements,             the needed regulatory reforms with trade liberal-
      quotas, economic needs test, limits on the length of         ization, and addressing the skills shortages and the
      stay, and recognition of academic and professional           skills mismatches affecting professional services.
      qualifications); ii) restrictions on the establishment       This suggests policy action in the following areas:
      of commercial presence (restrictions on foreign              education, regulation of professional services,
      ownership, limits on the type of legal entry, and            trade policy, and labor mobility at the national and
      limits on the scope of business); iii) restrictions on       regional levels.
      cross border trade (entry restrictions and limits on
      the scope of business); and iv) restrictions on labor        C. Potential for Future Trade
      mobility (procedures for hiring a foreign worker).               Diversification: Goods and Services
           Trade restrictions in professional services
      are quite severe in Sudan. Explicit barriers to              Successful economic development has typically
      trade cover foreign entry restrictions and discrimi-         been accompanied by structural transformation,
      natory conduct restrictions. Key barriers relate to          in which manufacturing and industry’s share of
      regulations pertaining to licensing and qualifica-           output and employment rises at the expense of
      tion requirements. The accounting and legal sector           agriculture, but this has not (yet) been seen in
      uses the labor market test or economic needs test            Sudan (McMillan and Rodrik 2011; and see Chapter
      for license application by foreign services providers.       2.A). Manufacturing and industry typically display
      Other explicit trade barriers affecting professional         higher productivity, higher wages, and faster rates
                                                                                       Goods and services trade to build endowments                  117




  BOX 4.3: Domestic Regulation in Professional Services in Sudan
  In Sudan’s accounting sector there are mandatory continuing education requirements for members of the profession, while for both
  the accounting and the legal sector there are additional requirements include passing the professional examinations to become a full
  member of the profession. There are practical training requirements to become a full member of the accounting, engineering, and
  legal professions: one year for law practitioners, three years for accounting professionals, and five years for engineers. In addition, the
  accounting and the legal professions are also subject to other educational or vocational requirements over and above the academic
  degree to enter the profession (for example, the legal profession requirement is a one-year post-graduate course).
     All three sectors also regulate access to the profession through compulsory licenses or authorization granted by the Sudan Bar
  Association in legal services, the Accountancy and Audit Profession Organization in accounting services, and the Engineering Council
  for engineering services. Licenses are renewed periodically (for example, every two to five years for engineering).
     In the engineering sector, although there are no requirements for passing a professional examination to become a member, there
  are requirements pertaining to practical training (a few years for engineering technicians and five years for engineers). All these
  requirements are in addition to the mandatory university degree obtained to practice legally.
     In Sudan, engineering and legal services are not subject to exclusive rights of practice by engineers or lawyers; the scope of exclusive
  rights is broader in accounting services. Highly skilled professionals in professional services sectors have exclusive rights to perform
  certain activities (e.g., auditing, representation of clients before courts, advice on legal matters, feasibility studies, design and planning).
  The argument in favor of exclusive rights is that they can lead to increased specialization of professionals and guarantee a higher quality
  of service. But the negative price and allocation effects of exclusive rights, which act as monopolies, can be substantial, especially if
  they are granted for standardized services that can be provided at a lower cost by less-regulated or non-regulated providers, such as
  the middle-level professionals in these sectors.
     In the accounting sector, except for matters related to management consultancy services, investment advice, legal advice and
  representation, and expert witness in accounting, all other accounting type works fall under the exclusive rights domain of certified
  accounting professionals. The following activities are specifically provided by accounting professionals only: traditional accounting
  (bookkeeping); statutory audit; non-statutory audits; audit of mergers and of contributions in kind; insolvency practice; international
  audit; tax advice, and tax representation
     Regulation affecting the conduct/operations of professional services providers in Sudan seems to be less severe than in many
  neighboring countries. In all professional services, fees tend to be negotiated freely between practitioners and clients, but there is a
  Fee Committee at the Bar Association that deals with complaints from clients.
     All types of legal entities are permitted in engineering. By contrast, only sole proprietorship and general partnerships are permitted
  in accounting. Also, advertising is prohibited in accountancy but seems to be allowed in engineering and legal services.

  Source: Regulatory surveys undertaken in Sudan in 2012 and 2014.




of technology adoption, but Sudan’s challenge is                             manufacturing, non-manufacturing industry, and
to find ways to grow these sectors, and particularly                         services, have relatively similar levels of education
to shift younger and more educated workers into                              (see Chapter 2.A).
higher productivity jobs.                                                        There is a real lack of educated work force to
     At present, however, the agriculture and                                allow for effective diversification into new and
services sectors account for the vast majority of                            higher value-added product areas. Half of the pop-
employment in Sudan, with manufacturing pro-                                 ulation in Sudan has never attended a formal school
viding an almost negligible number of jobs. This                             and only a tiny portion has some post-secondary
is even though both wages and labor productivity                             education. Only 15.8 percent of the population
are much higher in industry and manufacturing than                           has at most secondary school education, and only
in agriculture. The sector that employs most people                          3.8 percent has some post-secondary education. Not
in the economy—agriculture—is also the sector that                           surprisingly, education levels are substantially lower
employs most people without education. Almost                                in rural than urban areas and substantially lower for
two in three workers in this sector have no educa-                           women than men (see Chapter 2.A).
tion and less than one in fifty has post-secondary                               But there are higher education levels
education. Workers in the remaining three sectors,                           in younger cohorts, which represents an
118     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      opportunity for Sudan to shift employment into               maps shows that primary products such as sesame
      more productive sectors. Older parts of the popu-            seeds and live sheep and goats were competitively
      lation have lower education than younger parts and           exported in the early-1990s, and continued to be
      the gender gap in education is smaller in younger            exported competitively during 2009–11. However,
      cohorts than in older ones. Individuals aged 20–29           in the most recent period there is significantly lower
      have substantially higher levels of education: one           number of competitively exported goods in more
      in ten has some post-secondary education and a               “connected” parts of the network, implying a lack
      further one in three has some secondary education.           of development of capabilities that allow easier
      Yet, at present younger workers are no more likely           diversification into new products (i.e., in contrast
      to work in industry, manufacturing, or services              to products in the core).
      than their older compatriots, indicating that there               But diversification today needs to consider
      is little current capitalization on this opportunity         the changed competitiveness over time of prod-
      (see Chapter 2.A).                                           ucts Sudan once produced. This is possible by
           Sudan’s income level is below the expected              adding the temporal classifications of products into
      income level based on countries that export                  “classics,” “emerging champions,” “disappearances,”
      goods found in Sudan’s export basket. This is                and “marginals” (see Box 4.3 for terminology). The
      primarily a reflection of Sudan’s past oil richness          product space analysis identifies 13 dominant clas-
      that only insufficiently led to broader rises in income      sic exports, which show sustained competitiveness
      levels. But it is also a reflection of Sudan not taking      (Figure 4.7.5 and Annex 6, Table 0.16). All of them
      full advantage of its export basket to boost export          are primary products except for molasses (resource-
      growth and income. Figure 4.7.1 shows the cross-             based) and leather of other hides (low-technology).
      country relationship between EXPY—a measure of               It is noteworthy that molasses are also among the
      the sophistication of a country exports that repre-          products that can be identified as significant export
      sents the income level associated with a country’s           items back in the 1990s, which do not show these
      export basket—and economic growth as well as                 significance anymore in today’s export basket
      the trend in the income potential of national export         (Table 4.4).
      baskets for Sudan and comparator countries. The                   There are also ten “emerging champions”,
      past dominance of oil is reflected in the increased          products, which are now being competitively
      value of Sudan’s export basket measured by the               exported from Sudan that were not so in the
      EXPY measure. See Annex 6 for details on EXPY                early 1990’s. The most well-known of these are
      and other product space terminology.
           Sudan’s concentration of exports has risen
      significantly over the past three decades, which
                                                                     BOX 4.4: Product Space: Classics,
      indicates there may be scope for renewed diver-
                                                                                  Emerging Champions,
      sification. Figures 4.7.2 and 4.7.3 show a repre-                           Disappearance, Marginals
      sentation of Sudan’s exports in the product space
                                                                     •	 “Classics” are products with demonstrated competitiveness
      for the time periods 1991–93 and 2009–11, and
                                                                        over time where it may be less risky to invest.
      reflects the country’s transition to a highly con-             •	 “Emerging champions” are products in which Sudan has
      centrated export basket. Products manufactured                    increased its comparative advantage in global markets.
                                                                     •	 “Disappearances” are products that were competitive in
      competitively (i.e., with RCA>1) are marked in red                the past, but have lost that competitiveness more recently.
      in Figure 4.7.2 and 4.7.3 and the evolution of the             •	 “Marginals” are products in which Sudan had a low
      number of products with an RCA>1 can be seen in                   comparative advantage in the past and remain with low
                                                                        comparative advantage.
      Figure 4.7.4. Comparison of the two product space
                                                                                                                                                                                       Goods and services trade to build endowments                                                                                              119




FIGURE 4.7: (Export) Diversification – Past and Present
                                                       1) Income level and the export basket:                                                                                         2) Sudan’s exports in the product space, 1991–1993
                                                           Sudan and the rest of the world
                                                                                                                                                                                                 SUD 1991–1993                                 Oil                      Leather                 Fruits
                                                      Relationship of EXPY and Per Capita Income
                      10.5                                                                                                                                                                  Fishing
                                                                                                                                                                                                                                                                                                         Vegetable Oils
Log of EXPY in 2011




                      10.0
                                                                                                                                                                                          Vegetables
                                                                                                                                                                                                                                                                                                         Forest Products


                                                            SDN
                       9.5
                                                                                                                                                                                             Milk

                                                                                                                                                                                                                                                                                                             Cereal



                       9.0                                                                                                                                                                Garments
                                                                                                                                                                                                                                                                                                             Mining



                       8.5                                                                                                                                                                Iron/Steel




                       8.0
                                                                                                                                                                                                                                                                                                            Vehicles


                                                                                                                                                                                           Textiles


                                  6                     8                  10                12                                                                                                                                                                                                            Electronics


                                            Log of GDP Per Capita PPP in 2011 (Constant USD)                                                                                                                Machinery                    Animal Agriculture                         Chemicals




                                  3) Sudan’s exports in the product space, 2009–2011                                                                                                                    4) Evolution in Sudan’s Exports share and
                                                                                                                                                                                                       number of products exported competitively
                                 SUD 2009–2011                      Oil             Leather                    Fruits
                                                                                                                                                                             60                                                                                                                                             60
                              Fishing
                                                                                                                        Vegetable Oils                                       50                                                                                                                                             50
                             Vegetables
                                                                                                                        Forest Products
                                                                                                                                                                             40                                                                                                                                             40
                                Milk

                                                                                                                            Cereal                                           30                                                                                                                                             30
                             Garments
                                                                                                                            Mining                                           20                                                                                                                                             20
                             Iron/Steel
                                                                                                                                                                             10                                                                                                                                             10
                                                                                                                           Vehicles

                                                                                                                                                                                0                                                                                                                                           0
                                                                                                                                                                                       1982–84

                                                                                                                                                                                                       1985–87

                                                                                                                                                                                                                       1988–90

                                                                                                                                                                                                                                   1991–93

                                                                                                                                                                                                                                                1994–96

                                                                                                                                                                                                                                                              1997–99

                                                                                                                                                                                                                                                                          2000–02

                                                                                                                                                                                                                                                                                     2003–05

                                                                                                                                                                                                                                                                                                2006–08

                                                                                                                                                                                                                                                                                                                  2009–11
                              Textiles


                                                                                                                          Electronics


                                          Machinery           Animal Agriculture              Chemicals



                                                                                                                                                                                                          Products exported competitively (RCA>1) (LHS)
                                                                                                                                                                                                          Export share of GDP (RHS)

                                                                                   5) Combining Sudan’s product space maps of 1991–93 with 2009–11
                                                                                                      SUD 1991–2011                                     Oil                Leather                      Fruits



                                                                                                    Fishing
                                                                                                                                                                                                                 Vegetable Oils

                                                                                                  Vegetables
                                                                                                                                                                                                                 Forest Products


                                                                                                  Garments


                                                                                                                                                                                                                     Cereal


                                                                                                  Iron/Steel

                                                                                                                                                                                                                     Mining



                                                                                                   Textiles



                                                                                                                                                                                                                    Vehicles


                                                                                                   Classics         Emerging


                                                                                                                                                                                                                   Electronics
                                                                                                  Disappea-
                                                                                                                    Marginals
                                                                                                  rances
                                                                                                                                          Animal Agriculture   Chemicals             Machinery




Source: World Bank staff own calculations, based on data used from UN Comtrade; and the World Bank Exporter Dynamics Database.



petroleum and gold. Additionally, 28 products that                                                                                                                 peanut oil. Mechanically, the surge in crude petro-
were competitive in 1991–93 are no longer being                                                                                                                    leum exports is a large factor in the decline in the
competitively exported, these “disappearances”                                                                                                                     number of products exported competitively as the
include maize, green groundnuts, oilcake, and                                                                                                                      share of exports of many of these products are now
120      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      significantly lower given the tripling of the share of                         advantage (Lederman et al. 2015). Based on the
      exports to GDP. In other words, some products that                             experience of other countries, the presence of a
      were once a significant share of the total exports                             latent export basket can reduce both GDP volatil-
      are now a fraction of their original share due to the                          ity and terms-of-trade volatility, particularly for
      massive increase of crude petroleum, which was                                 poor countries with small economies. At least two
      zero percent of the basket in 1991 and 94 percent                              types of shocks could potentially restore com-
      of the basket in 2011 (Figure 4.7.4).                                          petitiveness of some of these historical products; a
          There are a variety of products (including                                 reduction in the price of oil, such as experienced in
      manufactured exports) that Sudan has exported                                  2014 and 15, and a depreciation of the Sudanese
      in significant quantities in the recent past, or in                            currency, which could accompany a unification
      small quantities today. The rise of oil, and then                              of the exchange rate and could increase overall
      of gold, may have entailed a drawing away of labor,                            competitiveness.
      capital, and other resources from the production of
      goods that were significant in the 1990s in a type                             Prospect for value addition in gum arabic
      of “Dutch disease” phenomenon. Thus, the lack of
      diversification and low survival rates of Sudanese                             This chapter showed that Sudan has significant
      exports may be interrelated. Conversely, the                                   market power in global markets for gum arabic.
      reduced significance of oil may allow some of these                            Since this power is based on the exports of raw,
      exports to return in the future (Table 4.4). Molasses                          undifferentiated products, there could be an oppor-
      could be one of them as mentioned earlier; organic                             tunity to slowly shift to more value addition through
      chemicals are currently marginal as identified in                              some processing. So while Chapter 3 looked at gum
      Annex 6, Table 0.16, but could possibly be repre-                              arabic marketing, the following will analyze the
      sent potential for forward integration from crude oil.                         gum arabic value chain. In order to do so, there is a
          Sudan’s historical export products represent                               need to understand current constraints on process-
      a source of latent comparative advantage, which                                ing products, and how to maximize value addition
      could emerge to contribute to macroeconomic                                    through combining processing solutions with smart
      stability in the event of shocks. Many countries                               variations in producing the raw materials. Since
      have products in which they had historical compar-                             value addition would have to come through com-
      ative advantage but no longer do so today. These                               panies and activities carried out by the private sec-
      products provide a stock of latent comparative                                 tor, it is also important to look at broader business


      Table 4.4: Manufactured Exports of Significance in the pre-Oil Period
       Of significance in the late         Of secondary significance in                     Both of significance in the late 1990s and of
       1990s                               2011–2013                                        secondary significance in 2011–2013
       •	 Molasses from sugar              •	   Miscellaneous edible preparations           •	   Cotton products—mostly yarn, but also fabrics and apparel
       •	 Organic chemicals (styrene,      •	   Petroleum refining products                 •	   Leather and skins
          saturated monohydric alcohols)   •	   Plastics, and plastic and rubber products   •	   Vegetable oils, oilseed products, oil cakes
       •	 Essential oils and resins,       •	   Copper and copper products                  •	   Aluminum, iron and steel products (structures, bars, etc.
          cosmetics                        •	   Undenatured ethyl alcohol
                                           •	   Alfalfa meal
                                           •	   Interchangeable metal tools
                                           •	   Wood, wood articles, and wood charcoal
                                           •	   Paper and paper articles
                                           •	   Prefabricated buildings
      Source: World Bank staff own calculations, based on data from UN Comtrade.
                                                                Goods and services trade to build endowments        121




environment constraints to facilitate a shift towards    gum arabic trade and Sudan’s dominant place in the
more value addition.                                     trade (World Bank 2015a).
     While Sudan is the largest producer of gum              Enhancing the raw material production
arabic in the world, it has no significant added         directly benefits producers through the potential
value processing, a phenomenon observable in             for improved prices, and provides the base for
most producing countries (World Bank 2015a).             processors to build value added. While the factors
Hence, a core objective of the sector in Sudan is to     that determine quality, and harvest and post-harvest
increase the level of value addition at origin and       factors that deliver quality are well established, it is
to increase the share of value-enhanced gum ara-         clear that “best practice” is not always implemented
bic products in the overall gum arabic trade from        in the field. To illustrate, research in Sudan has
Sudan. This would lead to improved returns and           shown that maximum yields are obtained when
resultant increases in the price paid to producers       tapping of senegal is done between October 1st and
for the raw material.                                    November 1st, with the Sonke tool (rather than an
     The goal for gum arabic value addition              axe or other implement), exposing an area about
should be to reach a level in Sudan that can pro-        30cms long, and 5 cm wide. But tapping is often
duce spray dried material with high and defined          not done in the optimal period; yet, later tapping
levels of functionality, particularly in emulsions       (November 15th to December 15th) can reduce yields
and encapsulation (World Bank 2015a). The pos-           by up to 50 percent (World Bank 2015a).
sibility of adding functionality is important as mar-        Three additional measures to enhance
gins are still not large for bulk sales of a standard    the production and management of gum ara-
processed spray dried gum arabic. Higher margins         bic—both raw and spray-dried—could make a
are created through the production of spray dried        big difference to increase value addition and
material with high and defined levels of function-       hence returns to producers in gum arabic trade
ality, particularly in emulsions and encapsulation.      from Sudan (World Bank, 2015a):
World Bank (2015a) argues that this requires man-
agement and development of the raw material sup-          Access to pre-harvest crop finance. This is
ply chain to improve the quality of the crude gum           frequently quoted as a major requirement for
related to functionality, and to put in place a trace-      producers. Buyers will typically pre-finance
ability system to allow maintenance of the identity         their agents and other middlemen over whom
and integrity of batches of crude gum selected for,         they have control, but the constraint to direct
and defined by their particular quality attributes.         pre-finance to producers is a common problem
     A strategy to increase the level of value addi-        for producers accepting pre-finance from one
tion through the development of spray drying                buyer and then selling to a different one. As
capacity must therefore also address the devel-             such, buyers without strong linkages exercise
opment of raw material quality and the supply               control over the producer. There are alternative
chain. This will also address the perceived quality         (traditional) ways to finance through the village
problems with kibbled and powdered material that            traders but these are linked to high effective
result in current low levels of demand for these            interest rates and low prices for material (World
products and the basic value addition that they offer,      Bank 2015a).
and provide a basis on which to build increased           Bundling interest to enhance buyer-producer
sales and value addition. Development of the supply         links . Gum Arabic Producer Associations
chain will also directly address the issues raised by       (GAPA) have already been formed, but they
overseas processors, and so help secure the overall         need to be strengthened to effectively establish
122     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




         a framework through which buyers can work                 in a manner that will increase not only the quantity
         with producers. This allows buyers to influence           but also the quality of offerings.
         and improve practices and as therefore quality,                Sudan could leverage earlier progress made
         price and production volumes, while providing             in the education sector. For example, its success at
         the necessary interest and security to buyers to          increasing enrollment at the primary and secondary
         enable them to consider direct pre-financing.             levels generates growing demand for vocational and
         Support to producer groups—training, aware-               higher education. The absence of links between edu-
         ness, and management—will be required to                  cational systems, employers, and users of services
         reduce defaults on pre-financing from buyers              prevents young graduates from acquiring market-
         (World Bank 2015a).                                       relevant skills. Several stakeholders from the private
       Establish a simple practical product trace-               sector have emphasized the coordination problems
         ability system. This is essential to maintain             between employers, professional associations, and
         the link between product and quality through              education institutions in the content of educational
         the supply chain. Traceability provides the base          programs for engineers and accountants. Policy
         for differential pricing by quality, and enables          actions to encourage collaboration between uni-
         containment and management of any groundnut               versities, professional associations, and the private
         (or other) contamination issue that might occur.          sector (for example through internships) could
         Raw material traceability feeds also directly into        help students acquire skills and practical training.
         processing quality management systems (World              Such collaborative actions are required to better
         Bank 2015a).                                              understand and strengthen the links between the
                                                                   curricula and the skills required to support the
      Considerations for the development of                        expansion and diversification of the economy. The
      services                                                     requirements for medium- and high-level skills in
                                                                   more sophisticated business services need to feature
      Reforms in the area of services need to focus on             in Sudan’s Education Sector Plan to mobilize both
      the development of framework conditions that                 internal and external financing.
      facilitate the growth of professional services, and               Regional integration and multilateral nego-
      address skills shortages and skills mismatches. In           tiations offer opportunities for implement-
      the short term, reforms need to focus on the devel-          ing regulatory reforms and reducing the skill
      opments of the necessary regulatory framework and            gap through services liberalization. Sudan is a
      incremental, qualitative improvements in domestic            COMESA member and is currently negotiating its
      regulations that hamper the growth of the sector.            WTO accession. How far and how quickly Sudan
      Top regulatory constraints identified by the private         will proceed depends on political and economic
      sector include regulations regarding participation in        considerations. Ideally, liberalization would be non-
      public procurement processes, competition issues,            preferential so that domestic users of professional
      and the qualification and licensing requirements             services have access to, and domestic professionals
      and registration and other administrative procedures         can benefit from, exposure to the best service pro-
      that limit the entry and the operation of professional       viders in the world. This protects countries from
      services firms. The regulatory reform process needs          suboptimal regional providers. If, however, recip-
      to involve the private sector. In the long term, fac-        rocal liberalization at the regional level is politi-
      ulties and other training programs must be created,          cally more feasible, then Sudan ought to weigh the
      improved, and expanded to satisfy professional train-        unquestionable benefits of market opening, even
      ing needs, but this must be planned and carried out          in the narrow regional context, against the possible
                                                                  Goods and services trade to build endowments     123




costs of giving a first-mover advantage to what may        such as the program that is currently being devel-
be a second-best regional service provider.                oped by the Inter-University Council for East Africa
    Steps need to be taken by Sudan to relax the           (IUCEA) in terms of designing university curricula
explicit trade barriers applied to the movement            and research, and creating university/industry part-
of natural persons and commercial presence of              nerships for fostering knowledge could provide
professional services. Examples of possible reforms        guidance for Sudan’s education reforms. Also, col-
include: articulating the economic and social moti-        laboration with the IUCEA could contribute to the
vation for nationality and residency requirements;         reduction of education-related differences that frag-
minimizing restrictions on the forms of establish-         ment the regional market for education and thereby
ments allowed; and developing a transparent and            encourage trade in education between Sudan and
consistent framework for accepting professionals           neighboring countries.
with foreign qualifications. The reduction of explicit          Opening up regional boundaries and
trade barriers also needs to be complemented with          establishing Mutual Recognition Agreements
the reform of immigration laws and rules on the            (MRAs) would facilitate Sudan’s services inte-
hiring of foreign workers.                                 gration with its African partners. The free move-
    Deeper regional integration, through regula-           ment of COMESA nationals without work permit
tory cooperation with neighboring partners who             requirements would be of great help to increase
have similar regulatory preferences, can use-              business opportunities within the region and
fully complement non-preferential trade liber-             boost service exports. Sudan could learn from East
alization. Regional integration would also enhance         Africa’s experience with MRAs in accounting and
competition among services providers, enable those         architectural services. The EAC Common Market
providers to exploit economies of scale in profes-         Protocol, adopted by the Multi Sector Council in
sional education, and produce a wider variety of ser-      2009 includes an annex on a framework agreement
vices. Regional integration brings further benefits in     on MRAs for academic and professional qualifica-
that a larger regional market is able to attract greater   tions. The five EAC countries have already signed
domestic and foreign investment; and regionaliza-          an MRA in accounting services and implementa-
tion may help take advantage of scale economies in         tion focuses on the following areas: requirements
regulation, particularly where national agencies face      for education, examinations, experience, conduct
technical skills or capacity constraints.                  and ethics, professional development and re-certi-
    Regional integration may help Sudan take               fication, scope of practice, and local knowledge. To
advantage of scale economies in regulation, par-           assist with the preparation of potential MRAs Sudan
ticularly where national agencies face technical           countries could benefit from technical assistance in
skills or capacity constraints. Regional initiatives       the context of the DTIS implementation.
       EXTRACTIVE INDUSTRIES: STILL IMPORTANT
                   BUT NO LONGER DOMINANT
                                                                                              5
   Remaining natural resources in Sudan are likely to provide some limited time-bound support to the efforts
   for diversification, but to consider the transient character of natural resources in post-2011 Sudan is pru-
   dent. The diminishing effects of both oil and gold on Sudan over the next 10–15 years are obvious. The
   constrained outlook for exports and revenues from domestic oil production places the spotlight on fees
   that the Government obtains for the handling of South Sudanese transit oil. Notwithstanding the fiscal
   benefits obtained from transit fees, these arrangements can only be expected to be transitory. With this
   background, the Government’s emphasis on promoting alternatives to the oil sector is well founded, and
   there have been early results in the form of the boom in gold exports. Traditional mining may, with suf-
   ficient support, provide a source of livelihood in rural areas that may have few other sources of economic
   support. Industrial mining may take some time to become established, however, such a development over
   the medium to long term would be more likely to provide a more balanced, export and revenue contribu-
   tion to the economy than traditional mining. Overall, the contribution of mining to Sudan’s economy over
   the medium term could be positive, however, the scale of the sector is very unlikely to rival that of the oil
   sector in its heyday and its fiscal impact may be substantially lower. Any more thorough evaluation of the
   contribution of the mining sector to economic development in Sudan would have to take into account
   negative externalities such as harmful environmental and social impacts. At the very least the remaining
   natural resource wealth available through oil and gold could be used to finance three of the more cost-
   intensive recommendations developed in this study.




A. Overview                                                 producing little more than 100,000 bpd, with less
                                                            than half of this exported and the sector contributed
After a decade of heavy dependence on oil to                just 2.8 percent of GDP and 27 percent of govern-
fuel its economy, Sudan faced the abrupt loss               ment receipts. A further two years have passed and
of two-thirds of its oil production capacity in             recent production has fluctuated around 120,000
June 2011. At secession Sudan as a whole was                bpd (Ministry of Petroleum 2014; IMF 2013; and
producing some 460,000 barrels per day (bpd) of             IMF 2014a). However, oil prices, which at least
crude oil, most of which was exported. As a result,         were favorable in 2012, are now a source of con-
export proceeds were the main foreign exchange              cern after falling to around US$50 per barrel on the
provider for the economy, the sector contributed            international market.
16.3 percent of GDP (2010) and revenues from oil                Simultaneously, after the secession, Sudan
were 45 percent of domestic revenues and grants             emerged almost overnight as one of Africa’s
(2010). Within a year of secession Sudan was                leading gold exporters. Official exports reached
126     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      46 tons in 2012, valued at US$2.1 billion, plac-             oil to meet domestic demand and exporting some
      ing Sudan fourth behind South Africa, Ghana, and             US$11 billion worth of surplus crude annually,
      Tanzania and one of the top twenty gold exporters            whose upfront installation costs had largely been
      in the world. Yet, by the end of 2013, world gold            recovered.
      prices had dropped sharply. Although export vol-                  The secession of South Sudan in July 2011
      umes and values have been lower than the peak,               brought about an immediate and severe rupture
      they are nonetheless significantly higher than they          in the oil sector, with oil reserves attributable to
      had been in the years prior to secession. Moreover,          Sudan just 30 percent of pre-secession levels (BP
      the Government continues to issue statements sug-            2014; and Wood Mackenzie 2013).55 This meant a
      gesting that gold activity remains strong and is, in         fall from an estimated 111 barrels to 43 barrels of
      fact, rising (for instance, see CBOS 2014).                  reserves per capita. In addition, the reserves to pro-
           The Government sees the gold sector as criti-           duction ratio, which had stood at nearly 29 years fell
      cal to its plans to mitigate the impacts of the loss         to about 26 years, depending on what rate of produc-
      of oil exports and revenues. It has followed a bold          tion is assumed to be sustainable.56 Since oil is a finite
      plan to promote gold exports and encourage devel-            resource, all governments must prepare for the day
      opment of gold mining. The gold buying policy of             when resources become exhausted but in Sudan’s
      the Central Bank of Sudan has been central to these          case that process was accelerated by secession.
      plans and the Government has further invested in                  Sudan’s trade balance suffered as well since
      a domestic gold refinery. Mining, whether done               the surplus oil available for export after meeting
      traditionally using rudimentary techniques or fully          domestic demand for refined petroleum products
      mechanized in industrial mining projects is being            rapidly disappeared. Domestic needs had been ris-
      supported at the policy level both in Khartoum and           ing fast and with the loss of production to the south,
      at State level.                                              Sudan now needed to import petroleum products to
                                                                   meet demand that domestic refining capacity alone
      B. Sudan’s Oil Sector                                        could not supply.57 Refinery capacity exceeds what
                                                                   Sudan can supply from its own oil fields, although
      Overview of recent developments                              owing to contractual obligations, a portion of its
                                                                   crude oil is still exported, meaning that refining
      Just before the turn of the century Sudan began
      to exploit oil resources first discovered in the             55
                                                                      BP and Wood Mackenzie report different levels. BP originally
      1970s, enabling the economy to double its size               reported proven reserves of 6.7 billion barrels of oil at the end of
                                                                   2010 but the 2014 report puts reserves at the end of 2012 for Sudan
      in real terms by 2010. Sudan joined the ranks of             and South Sudan combined at 5.0 billion barrels, with 1.5 billion
      oil exporting countries in 1999, capitalizing on an          barrels (30 percent) attributable to Sudan. Wood Mackenzie, reports
                                                                   “commercial” reserves, which is a narrower definition of what can
      oil market buoyed by rapid Chinese industrializa-            be produced. According to these reports Sudan has just 0.52 billion
      tion and direct support of China to build the facili-        reserves (BP 2014; and Wood Mackenzie 2013).
                                                                   56
                                                                      For this calculation, the analysis uses reserves reported by BP and
      ties needed to export crude oil. Oil exports quickly         assumed that the nominal rate of production that could have been
      came to dominate exports, accounting for 86 per-             sustained in Sudan after secession (free of any security and technical
                                                                   constraints) would have been some 160,000 bpd. If the far-lower
      cent of exports of goods and services on average             reserve levels reported by Wood Mackenzie were assumed, the num-
      from 1999 to 2010. The fiscal contribution of the            ber of years over which production could be sustained would be
                                                                   correspondingly less.
      sector surpassed all others, accounting for 47 per-          57
                                                                      Domestic demand for petroleum products in Sudan is estimated
      cent of government receipts on average in the same           to be reaching close to 120,000 bpd of oil equivalent and based on
                                                                   elasticity of demand and GDP projections would rise around 175,000
      period (IMF 2012). By that time Sudan had in place           bpd by 2020, far exceeding the projections of available domestic crude
      an extensive and integrated system for refining its          oil as reported in various cases in Figure 5.1.4.
                                                         Extractive industries: still important but no longer dominant                   127




operates at below capacity. Data for the first half of        Domestic oil resources and production
2014 indicate petroleum products imports weighing
heavily on the trade balance, continuing the trend            Sudan’s oil resources since secession consist
seen in Figure 4.1.1.                                         primarily of oil contained in reservoirs in the
     The reduction of production after secession              Muglad–Sudd Rift Basin which were the target
led to a sharp fall in Government fiscal receipts.            of exploration in the 1970s and 1980s. Only a
Before secession receipts from crude oil stood at             small portion of the productive Melut Basin exists in
some 60 percent of total Government receipts but              the north (Figure 5.2). Indications of oil resources
are estimated to have been just 15 percent of total           in other inland basins have yet to be followed up
receipts in 2013 (IMF 2014a). The level of receipts           with exploration drilling, although there are 11
reflects total production volumes, the share that is          blocks for which exploration rights were awarded
transferred domestically for refining at controlled           in 2012. Over the years non-associated natural gas
prices and global oil prices. The precipitous fall of         has been found in two of the other inland basins
the latter in late 2014 will feed into government oil         and in the Red Sea but in each case has been con-
receipts, as discussed further below.                         sidered sub-commercial to exploit, although the
     The fiscal position has also been influenced             Ministry of Petroleum is evaluating how to make
by developments in South Sudanese production,                 use of this resource.
since Sudan levies fees for the use of oil pro-                   The aggregate amount of oil reserves reported
cessing facilities, pipelines, and port facilities            vary according to the reserves definition used.
located in Sudan. Within six months of secession              The reserves reported by BP in their annual global
an inability to settle boundary disputes and terms            review are associated with oil fields that were already
under which Sudan would handle oil shipments                  in production in 2012 and amounted to 1.5 billion
from the south resulted in oil production being               barrels by year end (including proven and prob-
suspended for some 18 months. Eventually pro-                 able reserves but not possible reserves: BP 2014).
duction resumed once terms were agreed between                Only one additional field has commenced opera-
the two countries in the Bi-Lateral Agreement on Oil          tions since 2012, for which reserves data are not
and Related Matters. In 2013, receipts under these            reported. Additions to reserves would result either
arrangements are estimated to have been nearly                from the re-evaluation of reserves at existing fields
7 percent of total receipts (IMF 2014a).58 These were         or new discoveries once appraised.
forecast to increase in significance in 2014 after the            Sudan’s oil fields are of varying age and
resumption of South Sudanese output, however, the             productivity, with several having reached their
outbreak of civil war there in December 2013 has              decline phase. The Greater Nile (North) oilfields
resulted in lower than projected receipts.                    and processing facilities are contained in Blocks
     The outlook for oil exports and govern-                  2a, 2b, and 4 in the Muglad Basin. GNPOC is
ment oil revenues is difficult to predict. The                the Joint Operating Company and supplies Nile
Government has projected rising domestic oil pro-             Blend crude oil via the Heglig-Bashair Pipeline.
duction and is also relying on South Sudan’s out-             Production peaked in Greater Nile (North) at over
put to both increase and continue to be exported              100,000 bpd (Wood Mackenzie 2013). Block 6,
through Sudanese facilities. The following analysis           also in the Muglad Basin, is operated by Petro-
evaluates each of these elements and provides some            Energy and supplies Fula Blend crude oil via the
preliminary projections over fifteen years to 2030.
The flows of oil that will be examined can be rep-            58
                                                                 World Bank staff estimates based on IMF (2014c); this comprises tran-
resented as shown in Figure 5.1.2.                            sit fees and the transitional payments under the Bi-lateral Agreement.
128       COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      FIGURE 5.1: Sudan’s Oil Sector: Production, Trade and Flows
                  1) Petroleum product share of imports (value terms)                                          2) Flow of oil in Sudan (schematic)
      20%
                                                                                                                      Oil            Domestic
      18%                                                                                                           refinery           market
      16%
      14%
      12%                                                                                      GRSS profit oil
      10%                                                                           South                            Pipeline       Port Sudan        Crude
       8%                                                                           Sudan         JOC cost &        transport        terminal      oil exports
       6%                                                                          oil fields       profit oil
       4%
       2%
                                                                                                                         GOS profit oil
       0%
                 2010       2011         2012          2013       2014 1H                                   Sudan
                                                                                                           oil fields     JOC cost & profit oil


                          3) Recent crude oil production, bpd                                           4) Projected domestic crude oil production, bpd
      140,000                                                                          180,000
                           117,342                       116,959                       160,000
      120,000
                                                                                       140,000
      100,000
                                                                                       120,000
       80,000                                                                          100,000
       60,000                                                                           80,000
                                                                                        60,000
       40,000
                                                                                        40,000
       20,000                                                                           20,000
             0                                                                               –
                            2013                           2014                                   2012 2014 2016 2018 2020 2022 2024 2026 2028 2030
                    Blocks 2 & 4       Block 6       Block 17         Total                                         Base           High          Low

             5) Output and consumption of refined products, million tons                                  6) GOS Sources of Oil Revenues, US$ millions
                                                                                                           (2014 production and EIA central oil price)
      6                                                                                   1,000
                                                                                            900
      5                                                                                     800
      4                                                                                     700
                                                                                            600
      3                                                                                     500
                                                                                            400
      2                                                                                     300
      1                                                                                     200
                                                                                            100
      0                                                                                       0
          2005 2006 2007 2008 2009 2010 2011 2012 2013 2014                                         Domestic oil       GRSS fees          TFA     JOC-south fees
                              Output             Consumption

      Source: World Bank staff own calculations and visualizations, based on data from CBOS 2014; Ministry of Petroleum 2014; IMF 2012; IMF 2013; and IMF
      2014c Wood Mackenzie 2013; and the U.S. Energy Information Administration (EIA).
      Note: (5) 120,000 bpd in Sudan; 160,000 bpd in South Sudan. The TFA payment shown is pro-rated by year rather than linked to production level.




      Al Fula–Khartoum Pipeline. It is estimated to be                              Star Oil from the al-Barasaya field. Figure 5.1.3
      producing close to its peak rate. Since 2012 pro-                             shows the composition of crude oil production in
      duction has started up in Block 17 operated by                                2013 and 2014.
                                                            Extractive industries: still important but no longer dominant                   129




     The Government has been working with the                    FIGURE 5.2: Key Oil Infrastructure in Sudan
Joint Operating Companies (JOCs) on plans                                          (and South Sudan)
under which production could eventually be
lifted to 175–200,000 bpd and has based its
medium term economic projections on such
plans. These plans include improvements in the rate
of recovery from existing oil fields through a mixture
of de-bottlenecking, improved oilfield practices, and
enhanced oil recovery technologies.59 An agreement
was recently signed by the Government with CNPC
in respect of the Greater Nile (North) and Block 6
oil fields, under which it is reported investments to
increase oil production will take place to help reach
the Government’s production target. Details of the
nature, scale and timing of these investments were
not reported, though the Ministry of Petroleum’s
target for 2015 is 140,000 bpd (EIU 2015).
     On an unusual note, the Government’s
medium term plans also rely on expectations
that successful exploration will add to produc-
tion. In December 2014, the Minister of Petroleum
announced that operators plan to drill 253 wells in              Source: EIA September 2014.
2015, without specifying what kinds of wells these               Note: The Thiangrial refinery is located near Palougue not as shown.

would be (production, injection, appraisal, explo-
ration). As a result of these wells reserve additions            to 100,000 bpd after five years and to 45,000
amounting to 65.4 million barrels (equivalent to                 bpd after fifteen. The base case draws on avail-
two and a half years of output at present rates) are             able information about the reserve base and pro-
expected (Reuters 2014). While there is reason to                duction profiles of existing oil fields only as well as
expect that some proportion of exploration wells                 installed processing and pipeline capacity (Wood
will strike oil, not only is the success rate of explora-        Mackenzie 2013). It assumes that no significant
tion drilling difficult to predict but so too is the size        investment in enhanced oil recovery takes place at
of discoveries made, until they are fully appraised.60           existing fields and that there are no oil reserve addi-
It is very unusual for governments to include such               tions made through discoveries. Until information
expectations in projections that are used for wider              is available that would confirm significant invest-
economic planning and budgeting.                                 ments in Enhanced Oil Recovery (EOR), this study
                                                                 considers this conservative base case to be justified.
Three scenarios for future oil production:                       Projections are subject to growing levels of uncer-
base, high, and low                                              tainty as the time horizon increases (Figure 5.1.4).

This analysis argues that the base case projection               59
                                                                    In Block 6 a pipeline is being built to tie in previously unexploited
oil production can be sustained only at around                   fields to the processing facilities and main pipeline (Sudan Tribune
                                                                 2014).
120,000 bpd and only for a year or two before                    60
                                                                    BMI (2014) also casts doubt on the ability to contract such the large
a gradual decline takes hold, with output down                   number of drilling rigs implied by the official report.
130     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




           The high case assumes that large investments            bpd and can produce 2 million tons of heavy fuel
      in enhanced oil recovery proceed soon, thereby               products (for instance, heavy coke and petroleum
      enabling oil production to rise to a peak rate of            coke) each year, mostly for electricity production.
      156,000 bpd before beginning its decline.61 While            The El Obeid Refinery has a capacity to refine
      it is reasonable to assume that, given a favorable           15,000 bpd of Nile Blend and produces gasoline,
      security and commercial environment, substantial             diesel, and fuel oil, with the latter—again used pri-
      investment would take place to enhance oil recovery          marily for electricity generation—accounting for
      and find more oil, there remains considerable uncer-         the largest share (IMF 2012). Refinery production
      tainty about when this will in fact take place.62 With       is shown in Figure 5.1.5.
      regard to exploration, the long lead time needed to               Although domestic refineries have been built
      bring any significant new discoveries into produc-           and expanded over the years, domestic demand
      tion probably means that the impact on total pro-            for refined petroleum products now equals domes-
      duction would only occur after 2025, so this upside          tic supply capacity. Although the pace of demand
      possibility has not been considered (Figure 5.1.4).          growth has slowed since secession, Sudan’s consump-
           The low case assumes that additional risks              tion is likely to rise at rates exceeding average GDP
      to oil production result in output declining                 growth. The supply-demand balances vary across the
      earlier and more sharply than in the base case,              range of petroleum product markets depending on the
      with output reaching just 22,000 bpd after 15                type of the crude oil supplied and configuration of oil
      years rather than 45,000 bpd. A significant source           refineries. Gasoil, diesel, jet oil, and LPG are imported
      of uncertainty concerning the production outlook             to cover the shortfalls in domestic production. On
      stems from the technical standards used to oper-             the other hand, gasoline (mogas) output exceeds
      ate oil fields and the constraints imposed by the            consumption and the surplus has been exported to
      difficult security situation. Though not possible to         neighboring countries (IMF 2012).
      confirm from available data there is a possibility that           The Government has long supplied its share
      oil fields have been “over-produced” in the inter-           of profit oil to the oil refineries at controlled
      ests of short-term cash generation at the expense            prices and may call on JOCs to supply oil refin-
      of overall oil field recovery (implying shorter field        eries as well to meet domestic requirements. The
      life) (Figure 5.1.4).                                        refineries receive Government crude oil at a fixed
                                                                   price of US$49 per barrel and JOC crude oil at nego-
      Domestic supply and exports of crude oil                     tiated prices linked to international market prices.
                                                                   The differential between export and controlled
      Government policy has been geared towards                    domestic prices has narrowed with the precipitous
      meeting domestic demand for petroleum prod-                  fall in global oil prices in recent months. This may
      ucts and exporting surplus crude oil. Two refiner-           limit the incentives to smuggle refined products to
      ies—the main Khartoum refinery and its extension,            neighboring markets that have until recently faced
      and the El Obeid Refinery—refine domestic crude              higher product prices.
      oil to produce a wide range of fuels. The main
      Khartoum refinery can refine up to 50,000 bpd of             61
                                                                      Based on IMF (2014c) which reflects discussions with the authorities
      Nile Blend crude and produces 2.5 million tons of            for the period to 2019; the projection of output from 2020–2030 in
                                                                   this high case is based on World Bank staff estimates.
      fuel products per year, almost entirely for domes-           62
                                                                      The objective of investment in EOR is to increase the proportion of
      tic consumption. The extension to the Khartoum               oil in place that is recovered by stimulating well productivity through
                                                                   the injection of water, gas, steam or chemicals into the reservoir.
      refinery was constructed in 2004 to process the              According to SUDAPET there are plans to lift the recovery factor at
      highly acidic Fula blend. It has a capacity of 40,000        existing fields from an average of 27 to some 35 percent.
                                                         Extractive industries: still important but no longer dominant              131




     Exports of crude oil are now confined to the             quantity has to be allocated to meet eligible JOC
JOC share of production less any domestic sup-                costs. The value used in the model is based on the
ply obligation. There are understood to have been             export price of Sudanese crude oil FOB Port of
some inconsistencies in official reporting of exports         Sudan. The export price is specific to the crude oil
but adjusted data for 2013 shows export of 43,000             type, in this case Nile Blend, or Fula Blend. This
bpd (about 37 percent total domestic output; IMF              analysis uses the simplifying assumption that the
2014c). This amount would imply that the JOCs                 export price is that of Brent crude oil less a discount,
are exporting only a portion and not all of their oil         reflecting the quality differential between Brent and
entitlement under the EPSAs. Since domestic refin-            Nile Blend. The second step is to allocate the balance
ery capacity imposes a ceiling on how much crude              of crude oil after cost oil has been deducted accord-
oil could be supplied domestically, any significant           ing to the profit oil splits in the EPSAs.
increase in domestic oil production, as in the high                The export value of crude oil is derived from
case projection, would contribute to a significant            projections of Brent crude prices issued by the
increase in crude oil exports. Conversely, any deci-          U.S. Energy Information Administration (EIA),
sion to expand refinery capacity in view of the growth        with adjustment for the price discount.63 The
of domestic demand for petroleum products could be            central EIA forecast is for oil prices, in real terms,
expected to result in diminishing crude oil exports.          to remain slightly below US$100 per barrel over the
                                                              next six years before rising gradually again. Recent
Fiscal revenues from domestic oil                             sharp falls in the price of oil on international markets
production                                                    has forced a re-think of the short-to-medium term
                                                              outlook for oil prices. Rather than modifying the
Under the Exploration and Production Sharing                  central price forecast, which covers a long period,
Agreements (EPSAs) that govern the allocation                 this analysis instead used high and low scenarios to
of oil, the Government receives crude oil remain-             test the sensitivity of the Government share of oil to
ing after the JOC takes cost oil and its share of             external market shocks.
profit oil. The amount of cost oil is subject to a                 The Government’s share of crude oil produc-
50 percent ceiling in all the EPSAs, ensuring that            tion in the base case scenario ranges between
in each year some oil is allocated to profit oil and          40–45 percent in the period to 2030. It is assumed
shared by the parties. Greater Nile (North) oil fields        that the entire share is transferred to domestic oil
are mainly mature and their capital costs have been           refineries at the controlled price. If it is further
largely recovered, so the amount of oil allocated to          assumed that the transfer price is US$49 per bar-
the JOC as cost oil is relatively low (i.e. lower than        rel, the Government’s oil reaches a peak value of
the ceiling would allow). In the case of Block 6              US$970 million in 2016. By 2025 the amount drops
the recoverable costs are high enough that all cost           to US$550 million. Production bonuses are also pay-
oil will be allocated for a few more years. All oil           able by the JOCs to the Government on the basis
remaining after cost oil has been allocated is shared         of cumulative production from individual blocks;
between the Government and the JOCs. In aggre-                however, the amounts are not significant compared
gate, the Government is currently entitled to some            to revenues obtained from its oil entitlement.
62–68 percent of profit oil depending on the EPSA.
     Each of the EPSAs has been modeled to                    63
                                                                The price information is based on EIA Brent forecast (short-term
determine the amount of oil available to the                  for 2014 and 2015); long-term thereafter, discounted based on real
                                                              and nominal price forecasts provided by the EIA as of June 2014.
Government and then aggregated. This involves                 Since recent price development has been downward, the central price
first valuing oil production to determine what                scenario, at least in the short term may be too optimistic.
132     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




          Higher or lower international oil prices                 This is equivalent to US$875 million a year if pro-
      affect Government oil revenues not through                   rated evenly across the 3 ½ year period during which
      the transfer price, which is fixed, but through              the TFA is in force. This payment is supplementary
      increases or decrease in the Government’s oil                to the processing, transportation, and transit fees
      entitlement. With recent oil prices sharply lower,           described above. The arrangement is based on an
      there is expected to be an increase in cost oil allo-        assumed supply rate of 152,000 bpd of GRSS oil
      cated to the JOCs (subject to limits imposed by the          over the term of the agreement but if these volumes
      cost oil ceiling) and a commensurate decrease in the         are not adequate to allow Sudan to recover the full
      Government’s oil entitlement.                                US$3.028 billion prior to the expiration of the agree-
                                                                   ment in December 2016, GRSS is required to pay
      Fiscal receipts from fees charged on South                   GOS the outstanding TFA balance 60 days prior to
      Sudanese crude oil                                           the expiration of the term of the Bi-Lateral Agreement
                                                                   (IMF 2014c). Given output constraints due to the
      So long as South Sudan relies upon processing                shut-in of fields in Unity State, this arrangement
      and transportation facilities in Sudan to export             is likely to result in a large shortfall payment. It is
      its crude oil it will pay fees to the Government of          unknown at this stage if the Bi-Lateral Agreement
      Sudan (GOS). Moreover, the level of fees payable will        will be succeeded by one with a similar payment
      reflect the degree to which Sudan exercises monopoly         guarantee or be tied only to actual exports of GRSS
      over such exports. There are two sets of arrangements        entitlement oil. Nor is it known at what level tariffs
      under which fees are payable to GOS. The first is            for processing and transportation will be fixed since
      the Bi-Lateral Agreement on Oil and Related Matters          this will all need to be negotiated between the parties.
      (Bi-Lateral Agreement) between the two governments.               In 2014, it is estimated that on average some
      This agreement was only reached in mid-2013, some            70,000 bpd of GRSS entitlement oil has been
      18 months after oil production in South Sudan had            exported through Sudan, generating US$233
      been suspended. The second is a series of agreements         million annually in processing and transporta-
      negotiated by GOS directly with the JOCs in South            tion fees (excluding the TFA transit payment).64
      Sudan (JOC-South) as recently as mid-2014.                   Predicting future levels of South Sudanese crude
           The Bi-Lateral Agreement requires the                   oil exports and the impact on payments to GOS is
      Government of the Republic of South Sudan                    complicated by uncertainties as to i) the resumption
      (GRSS) to pay GOS fees on GRSS crude oil pro-                of output from Unity State and the level at which
      cessed in Sudan and transported to Port Sudan                output in Upper Nile State can be sustained, ii) the
      for export. The agreement specifies separate pro-            profit oil share allocated to GRSS under the EPSAs,
      cessing, transportation, and transit fees totaling           iii) what portion of crude oil produced in the south
      US$9.10 per barrel supplied from Blocks 3 and 7              would in the future be refined in South Sudan; and
      (the two blocks in Upper Nile State from which               iv) at what point South Sudan may have alternative
      regular deliveries have been possible since produc-          routes to export crude oil by pipeline.65 Output in
      tion resumed in 2013) and US$11.00 per barrel                South Sudan is running some 30 percent lower than
      from Blocks 1, 2, 4 and 5a in Unity State, where
      wells remain shut-in.                                        64
                                                                      This calculation is based on total crude oil output of 160,000 bpd
                                                                   and a GRSS entitlement of 40 to 45 percent of this.
           Under the Bi-Lateral Agreement GRSS is also             65
                                                                      South Sudan hosts two small oil refineries that have yet to operate
      required to pay US$15 per barrel up to a maximum             but are understood to have capacities of 10,000 and 5,000 bpd of
                                                                   crude oil, respectively. It is not clear what arrangements have been
      of US$3.028 billion as a Transitional Financial              made for them to obtain crude oil supplies from processing facilities
      Arrangement (TFA) ending in December 2016.                   located in Sudan.
                                                             Extractive industries: still important but no longer dominant                      133




projected in preparing the GRSS Budget for July                   oil valued at the controlled transfer price to
2014–June 2015 and, as in the north, substantial                  domestic oil refineries. This is significantly lower
investment in EOR and exploration is needed to                    than the value that would have been obtained had
avert a gradual production decline.                               entitlement oil been valued at the export price.
     In July 2014 the JOC of Blocks 3 and 7 in                    Other sources of revenue include net proceeds of
South Sudan agreed with GOS to pay a combined                     SUDAPET, for which information is unavailable,
processing and transportation tariff of $19.80 per                and minor production bonus payments.67
barrel retroactive to June 2013 (the date when                         Payments received from GRSS and JOCs-
oil supplies resumed) up until December 2016.                     South represent a significant additional revenue
With falling oil prices, this means that Sudan is                 stream estimated to have been nearly US$1.8
able to obtain a growing share of the market value                billion in 2014. The composition of GOS oil rev-
of any South Sudanese oil it handles on behalf of                 enues in 2014 is shown in Figure 5.1.6 and is based
the JOC destined for export. Assuming that these                  on current production levels in both countries, the
terms apply to all JOC entitlement oil estimated                  central EIA price forecast for 2014, and calculations
to be currently produced in Blocks 3 and 7 these                  based on the EPSAs and other agreements. This
obligations would amount to US$650 million a                      only shows gross receipts of fees before GOS pays
year.66The same agreement provides for a reduced                  tariffs to the owners of processing and transporta-
tariff of US$12.10 per barrel for the period from                 tion facilities out of fees collected from GRSS and
January 2017 to March 2022. A similar agreement                   JOCs-South. On the other hand it does not show the
is in place for the oil fields in Unity State, albeit with        supplementary payments due to GOS from JOCs-
different tariffs. So if production were to resume,               South for arrears in relation to the period from June
the total amount payable by JOCs in the south to                  2013 to July 2014.
GOS would, of course, increase.                                        An interesting feature of Government oil rev-
     An interesting feature of the arrangements                   enues is the limited direct impact that interna-
for charging tariffs on transit oil is that they are              tional oil prices have on revenue levels. Revenues
based on agreements with GOS, not the opera-                      from domestic production are largely price insensi-
tors of the facilities being used by suppliers from               tive since all of the Government’s oil entitlement is
the south. GOS has indemnified the suppliers for                  transferred to domestic refineries at a fixed price.
any claims for payment by operators of the Central                Revenues from South Sudan’s oil exports depend on
Processing Facilities and transportation infrastruc-              fixed tariffs per barrel of transit oil for the periods
ture for their use. Out of its receipt of fees GOS pays           specified in relevant agreements. This insulates a
the owners of the processing and transportation                   significant share of Sudan’s total oil sector receipts
facilities at the rates that apply generally for crude            from the direct impacts of varying oil prices. There
oil handling services and the net balance is retained             are, nonetheless, secondary effects of changes in
by GOS. Although the data necessary to quantify it                international oil prices through adjustments in the
precisely is not available, it would be reasonable to
assume a margin over tariffs of some 3:1.
                                                                  66
                                                                     Total South Sudanese production in 2014 is estimated to be on
                                                                  average 160,000 bpd.
Aggregate fiscal revenue position in 2014                         67
                                                                     The national oil company SUDAPET is a member of the JOC under
                                                                  each EPSA and, as such, receives cost oil and profit oil in proportion
                                                                  to its participation interest in the JOC. For purposes of this analysis, it
It is estimated that GOS oil revenue from domes-                  is assumed that the proceeds of its share of oil are used to meet costs
                                                                  and the profit element is not Government revenue. In practice, as an
tic oil production in 2014 reached some US$860                    owner of SUDAPET the Government may receive revenue in the form
million based on 48,000 bpd of entitlement                        of a transfer of net proceeds from SUDAPET.
134     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      amount of oil that needs to be allocated to cover            the loss of oil revenues is about $4 billion. If our
      cost oil of the JOCs both north and south of the             gold is not smuggled, it can provide this amount of
      border. Recent sharp falls in oil prices will result in      money (...). So our policy now is to concentrate on
      the volumes of oil allocated to both governments             closing the gate through which the gold is smuggled”
      falling as a result.                                         (Martelli 2011). The main measures used were to
           Finally, that portion of transit fees cov-              launch a Central Bank’s gold buying program and to
      ered by the shortfall provision in the Bi-lateral            construct a national gold refinery. The Central Bank
      Agreement is also insulated from production                  has established a network of gold buying centers and
      changes in South Sudan. Notwithstanding this                 agents to offer competitive prices to the traditional
      significant level of protection, the current level of        mining sector. Until 2012 unrefined gold purchased
      tariffs is only fixed for the period up to December          this way would then be officially exported for refin-
      2016 when the Bi-lateral Agreement with GRSS                 ing abroad. However, once the refinery was installed
      expires and the transit agreements with the JOCs-            in September 2012 this gold could be refined into
      South provide for a reduced tariff rate starting in          pure gold bars before being exported69 Furthermore,
      January 2017.                                                a ban was placed on exports of unrefined gold and
                                                                   informal gold refining in December 2012 (Sudan
      C. Sudan’s Gold Sector                                       Tribune 2012).
                                                                        Official exports had begun to increase in the
      Overview of recent developments                              run up to secession but, soon after, they surged
                                                                   to over US$2 billion in 2012 (Figure 5.3.1).
      Only in the wake of the loss of oil resources at             Although exports were sharply lower the next year,
      secession, has the Government of Sudan turned                they increased somewhat in 2014 and are, in any
      to minerals as part of a policy to diversify the             case, far in excess of the levels seen before seces-
      economy. Although the country draws on a rich                sion. Moreover, the dramatic growth of exports
      history of mining going back millennia, until very           was not simply the result of a rise in international
      recently Sudan had been only a minor producer of
      gold, chromite, iron ore, a number of non-metallic           68
                                                                      Other than gold, Sudan produces only modest quantities of miner-
                                                                   als, although copper is set to emerge as a significant mineral export.
      minerals, and construction materials. The geology            Trade data lists only chromium among Sudan’s mineral exports aside
      of Sudan had always suggested potential that far             from gold; however, the values have been insignificant compared to
                                                                   gold. There is very little information about the mines producing these
      exceeded both ancient and more recent levels of              minerals, though it is understood the main source is Blue Nile State
      activity. Yet private sector investment to modern-           (Ingessana Hills). The U.S. Geological Survey reports sporadic output
                                                                   of chromium and manganese ores and a variety of industrial minerals,
      ize traditional mining practices, or to identify and         principally feldspar, gypsum, and kaolin. Within the next few years,
      measure viable deposits through targeted explora-            however, the Hassai mines will begin exploiting a large copper orebody
                                                                   and plan to produce some 50,000 tons annually. At US$5,000/ton
      tion activities had been scarce. Most activity was           revenue of US$250 million would result. There is some early stage
      taking place only on a small scale, much of it was           exploration ongoing that suggests that, as at Hassai, copper may be
                                                                   hosted in a series of Volcanic Massive Sulphide deposits. Eventually,
      unregulated, and the sector made a very limited              these could form the foundation of an industrial mining sector on a
      contribution to the national economy.68                      significantly larger scale. Insufficient information is available to project
                                                                   other mineral production even though geological studies over the
           As part of its strategy to promote the mineral          decades have detected mineralization in multiple areas. Aside from
      sector since 2011, the Government has made                   minerals produced for export there are considerable quantities of
                                                                   low-value construction minerals produced for domestic consumption.
      a concerted effort to encourage the mining of                69
                                                                      It is possible that short term differences between refinery production
      gold and divert hitherto illicit gold flows into             and exports would take place due to inventory changes. Moreover,
                                                                   since gold is also held officially in reserves as “monetary gold” it is pos-
      the formal export economy. In 2011 the Minister              sible that releases or additions to such reserves would temporarily af-
      of Mines stated that “[t]he gap in the budget from           fect export volumes and values and not be reflected in refinery output.
                                                           Extractive industries: still important but no longer dominant                   135




gold prices. As can be seen in Figure 5.3.2, export             in independently building up a picture of mine
volumes have grown at the same time and, indeed,                production. The Ministry of Mines issues state-
have been closely correlated with movements in the              ments about total annual gold production (not
international price of gold.                                    specifically refined gold) from time to time. There
     The strong performance of official gold                    are no publicly available breakdowns of this total
exports has given the Government confidence                     by month, quarter, or by composition. Moreover,
that its policies have been working and that gold               the statements are difficult to reconcile with official
exports can eventually replace the role previ-                  export data. The two data series are compared in
ously played by oil exports. To better understand               Figure 5.3.4. The low level of production reported
why gold exports boomed after secession and how                 in 2011 might reflect its limitation to production
likely it is that exports can grow further, it is impor-        reported by the few industrial mines then in opera-
tant to identify the sources of the gold that is being          tion. Thereafter, however, the picture changes and
exported. Figure 7 shows the possible sources of                official statements of production are at first similar
gold that flow to the gold refinery in Khartoum.                to but later well in excess of exports. It is thought
The Minister of Mining has announced that gold                  likely that the official statements of production
output reached 73.3 tons in 2014, which would                   are based on a mix of records from the Central
place Sudan as Africa’s third biggest producer after            Bank’s gold buying operations, gold refinery out-
South Africa and Ghana and 12th in the world over-              put (since September 2012), and estimates of gold
all (Sudan Vision 2015a). Only 15 percent of this is            that is produced traditionally and marketed out-
reportedly attributable to industrial gold mining.70            side Central Bank channels. Since refinery output
There is no official data to indicate the composition           could include gold recovered from foreign sources
of the remainder, although official statements refer            of gold ore and old gold, this would be an unreli-
to it all being supplied by the traditional sector.71           able measure of gold mined in Sudan. In view of
However, in the absence of detailed data it is pos-             the limitations of official data this analysis builds up
sible that some of the gold that is supplied is either
i) privately held “old” gold attracted by high gold
prices;72 or ii) gold smuggled into Sudan for refining          70
                                                                   Industrial gold mines are those that employ modern high volume
                                                                mechanized mining and processing methods needing significant
and re-export.73 Most of the focus in the subsequent            upfront capital investment.
analysis is on domestically mined gold since it is              71
                                                                   The traditional gold mining sector refers to mining using mainly
                                                                non-mechanized and small-scale methods of excavation and low
likely to be the primary driver of Sudan’s ability to           technology methods of gold processing to produce unrefined gold.
continue to export significant amounts of gold into             72
                                                                   Old gold (also referred to as “broken” gold) is refined gold that is
                                                                in circulation mainly as jewelry and other ornaments but could also
the future. Nevertheless, the ability of the Sudanese           include gold bars that have been in storage. Such refined gold may,
authorities to benefit from and, indeed, to promote             if prices are attractive, or if the holder needs access to cash, be sup-
                                                                plied for re-melting. For the most part this gold supply comes from
supplies of old gold and smuggled gold to its refin-            private individuals.
ery may continue to be an important factor, so some             73
                                                                   Newly mined gold may take several forms prior to refining into pure
                                                                gold. It can take the form of lumps (nuggets), grains, and powder with
discussion of these sources also follows. The flows             high gold content and impurities. These would typically be extracted
of gold mentioned above are shown in Figure 5.3.3.              from rich alluvial deposits or rich near-surface vein systems. Or is
                                                                can take the form of gold-bearing ore excavated from an ore-body in
                                                                which gold may barely be visible with the eye. The latter is typical of
Mine production of gold                                         industrial mines that rely on high volumes and efficient technology
                                                                to extract the gold content profitably. Sometimes this ore has varying
                                                                mixed metallic content (e.g. gold mixed with silver and copper) and
Determining the level of gold that is mined in                  impurities that are liberated from host minerals at the initial process-
                                                                ing stage. All of these forms of gold are marketable and traded on the
Sudan is complicated by the limited statistics                  basis of the amount of pure refined gold that can be recovered, with
available from official sources and difficulties                allowances made for the costs of refining and losses.
136     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      FIGURE 5.3: Sudan’s Mineral Sector: Production, Trade and Flows
                                                                                                                                              2) Export volumes of gold correlated
                                 1) Official gold exports (US$ ‘000)                                                                               with price (Index 2004 = 100)
      2,500,000                                                                                                       800
                                                                                                                      700
      2,000,000
                                                                                                                      600
      1,500,000                                                                                                       500
                                                                                                                      400
      1,000,000                                                                                                       300
                                                                                                                      200
       500,000
                                                                                                                      100
              0                                                                                                          0
                   2004
                          2005
                                 2006
                                        2007
                                               2008
                                                        2009
                                                                   2010
                                                                          2011
                                                                                 2012
                                                                                        2013
                                                                                               2014




                                                                                                                             2004

                                                                                                                                     2005

                                                                                                                                             2006

                                                                                                                                                    2007

                                                                                                                                                           2008

                                                                                                                                                                  2009

                                                                                                                                                                         2010

                                                                                                                                                                                2011

                                                                                                                                                                                       2012

                                                                                                                                                                                              2013

                                                                                                                                                                                                     2014
                                                                                                                                             Gold price index             Export volume index
                           3) Flow of gold in Sudan (schematic)                                                               4) Official reports of gold production and exports, tons
                                                                                                                        80
                          Mechanized                                                                  Foreign
                            mines                                                                     refinery           70
                                                                                                                        60
                                                                                                                        50
                                                      Central              Khartoum             Gold buying             40
                            Old gold
                                                       Bank                 refinery               centers               30
         Foreign
         sources                                                                                                        20
                                                                                                                        10

                          Traditional                                                                 Foreign            0
                                                                                                                                    2011               2012               2013                2014
                            mines                                                                     refinery
                                                                                                                                                     Production             Exports

                                                               5) Comparison of estimated gold production from traditional mining,
                                                                               selected countries (tons per year)
                                                          70
                                                          60
                                                          50
                                                          40
                                                          30
                                                          20
                                                          10
                                                               0
                                                                     Sudan Ghana Tanzania DRC                   Mali Ethiopia CAR           Niger

      Source: World Bank staff own calculations and visualizations, based on data from CBOS 2014; Ministry of Mining and Natural Resources 2014; Sudan
      Tribune (2012 and 2014); Sudan Vision (2014a-b and 2015a); and World Bank Mining Assessments (various country issues)




      an independent picture of production by its prob-                                                          comprehensive and regular surveys of gold mine
      able source, for which it relies on publicly available                                                     sites, it is not possible to place complete reliance
      company reports, interviews, field visits, and third                                                       on this data either.
      party accounts. However, short of undertaking
                                                          Extractive industries: still important but no longer dominant             137




     It is clear that new investments in industrial            Gagaba area in the northern Nubian Desert that
mining are not the main reason that gold activity              signaled a new period of heighted activity (Africa
has risen so sharply since the secession of South              Confidential 2012). Rushes to these extensive des-
Sudan. Indeed, the contribution of industrial mines            ert areas, in which surface gold outcrops had been
to national gold production cannot have exceeded               detected, seem to have gathered pace thereafter.
10 tons per annum, a conclusion confirmed by                   But traditional mining is not restricted just to the
recent official statements (Sudan Vision 2015a).74             northern desert areas. A large gold rush took place
Ariab Mining Company at Hassai in Red Sea State                at Jebel ‘Amer in North Darfur in March 2012, evi-
has operated the main industrial mines since 1992.             dence of which was captured in satellite imagery
Output peaked in 2003 at 5.7 tons; but in the                  (Ismail and Kumar 2013). Other reported areas
absence of significant new investment recent pro-              of traditional gold mining have included sites in
duction has been no more than two to three tons per            Northern, Nile, North and South Kordofan, Blue
annum. Other industrial gold mines include those               Nile, and Kassala States. Indeed, one source cites
operated by Managem (Morocco), Tahe (Turkey),                  150 locations found in 80 localities. A North
and Rida (Sudan). These have come into operation               Kordofan State official recently referred to 29 min-
in the past five or so years but none matches the size         ing sites being worked (Sudan Vision, 2014a). The
of the Hassai mines. The World Bank estimates that             Minister of Mines visited sites in the Kadugli and
between them these mines could not have produced               Ghadeer districts of South Kordofan in October
more than 5 tons of gold per annum, although there             2014 (Sudan Vision, 2014b). No publicly avail-
is some evidence that output is being supplemented             able consolidated map or comprehensive register
by low-grade material discarded by traditional min-            of sites exists.
ers which is re-treated to extract gold and mercury.                Indeed, notwithstanding a lack of official
     This analysis projects gold production from               data on traditional gold mining, there is a large
industrial mines to increase gradually to some                 body of physical evidence of gold mining and
8–12 tons within five years based on an exten-                 processing taking place at multiple sites. This
sion of mine life at Hassai and the commission-                includes evidence of mining, and especially process-
ing of several new mines. The Hassai mines are                 ing, taking place in a highly organized manner. For
partly owned by the Government but together with               example, field visits confirmed that gold-bearing
its private partners financing is being sought to first        mineral is transported in sacks after mining to a
sustain output by recovering gold contained in tail-           number of processing centers where crushing and
ings and then to begin mining of a large copper-gold           amalgamation of gold takes place. Such centers
ore body, whereupon the mine will produce gold as              are confined within perimeter fences with guarded
a by-product of copper. Managem’s Qbgbih Mine                  entrances and are overseen by local authority offi-
began operations in 2013 and plans to produce                  cials and police. Sophisticated trading systems have
some 3 tons of gold annually. Expansions at the                evolved involving miners, processors, gold buyers
mines operated by Tahe and Rida plus projects being            and suppliers of equipment and inputs (Ministry of
advanced by Orca, Qatar Mining, and others could               Mining and Natural Resources 2014).
eventually contribute additional output after 2020.                 National surveys done on employment in the
     Traditional mining has proliferated very                  mining industry do not disaggregate employment
rapidly to account for the bulk of Sudan’s
mined gold. Though traditional mining has a long
                                                               74
                                                                 The Minister of Mines stated that 63 tons out of the 73.3 tons
history it was the reports in 2009 of a gold rush              reportedly produced in 2014 is sourced from the traditional sector
attracting tens of thousands of people to the Wadi             rather than industrial mines (Sudan Vision, 2015).
138     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




        BOX 5.1: How Many Artisanal and Small Scale (ASM) Gold Miners are There?
        Estimates of the number of people involved in ASM often provide large numbers but these are generally not based on reliable census
        work. If a country has both a formal and an informal gold sector, then the difference between the official production by companies,
        and the total gold produced, is used to estimate the number of artisanal miners. An often-used method to estimate the number of
        ASM miners is based on the supposition that a typical artisanal gold miner produces, say, 0.5–1g gold per day. If a miner works 200
        days/year then 1kg gold produced corresponds to 5–10 miners. For example, in 2009 in Tanzania, total gold produced was about 40
        tons, of which 36 tons derived from formal mines. If the “missing” 4 tons are apportioned to ASM activities, then this corresponds to
        20–40,000 miners. Problems and uncertainties with these types of estimates include the fact that artisanal miners may work only part
        time as miners, whereas their main occupation could be, for example, subsistence agriculture; and that gold deriving from undisclosed
        sources may be apportioned to ASM activities, thereby legitimizing its origins.




      by mineral mined, making it difficult to estimate                       picking of gold nuggets located by metal detectors,
      the numbers of people engaged in traditional                            and shallow excavation of vein systems to obtain
      gold mining alone. It has been suggested that the                       gold-rich ore. Due to the nature of the vein systems,
      figure for gold miners may vary from as low as                          outcrops at the surface can be followed only to a
      250,000 to as high as one million. Numbers quoted                       certain depth before heavy excavation equipment
      usually do not distinguish between those directly                       and reinforcement of walls and shafts is needed.
      engaged in mining, processing, and trading in gold.                     Investments in mechanization are seldom made in
      A ratio of 1:5 (direct vs. processing/trading) or                       this regard, although some pits as deep as 40 meters
      more would not be unusual. Another approach to                          are nonetheless being worked.75
      assessing the size of the sector is to consider the                          Regrettably, this type of mining is not techni-
      productivity of the traditional gold miners. Box 5.1                    cally sustainable in the long term, therefore rais-
      discusses the numbers of “artisanal” miners attribut-                   ing the question as to the longevity of Sudan’s
      able to certain amounts of production, drawing on                       present traditional mining boom. Artisanal gold
      experience from around the world. However, even                         mining is typically not sustainable for long periods
      if reliable numbers of miners were available, one                       at any single site, especially if not well planned.
      would have to be careful not to impute the total                        Indeed, there is evidence of many initially prolific
      amount of gold produced in view of varying richness                     sites having played out. Although low labor costs
      of gold mineralization and mining techniques used.                      can justify the heavy use of laborers to scavenge
      If the numbers engaged in traditional gold mining                       and dig for gold, eventually such operations run
      in Sudan are indeed as high as some sources have                        out of exploitable gold. It is possible for two or
      suggested, then this might be expected to have had                      three good years to be followed by a collapse—and
      a considerable impact on the overall labor market.                      falling gold prices can exacerbate this process.
      This is discussed further later in the chapter.                         Moreover, since the extent of resources is unlikely
           The recent surge in traditional mining can                         to be properly tested and measured before exploita-
      be explained in part by the low barriers to entry                       tion takes place, unless organized on a larger scale,
      into the sector, especially in the excavation and                       mining methods tend to be sub-optimal.76 Without
      primary processing phases. Traditional mining                           a comprehensive survey of traditional gold mining
      relies on access to surface and near-surface concen-
      trations of gold that can be accessed with little need                  75
                                                                                 In many other countries such depths would be unattainable owing
      for mechanization. The methods that appear to pre-                      to friable soil and rock, and flood risk.
                                                                              76
                                                                                 One example of this would be indiscriminate stripping of the surface
      dominate are hand digging of surface gold alluvial                      by bulldozers uncovering only targets obvious from the surface but
      sources, surface stripping by bulldozers followed by                    further burying or impeding access to less obvious targets.
                                                           Extractive industries: still important but no longer dominant                    139




sites one cannot confidently infer that, in aggregate,          Sudan is projected to produce between 18–28
output of gold has been falling.77 However, there               tons annually over the next five years, worth
is evidence that many of the most prolific sites are            US$750–US$1,130 million annually at a gold
unable to be sustained. Such evidence includes                  price of US$1,300/oz. The contribution of indus-
abandoned mine sites, the presence of scavenging                trial mining will probably be greater than in the
where more methodical mining had taken place                    past few years, as expansions take place and new
previously, abandoned or under-used facilities at               mines become operational. The traditional sector
gold processing centers, and accounts by traders of             will continue to be the source of most gold pro-
falling activity, all of which were observed during a           duced in this period, although the ability to sustain
field visit in May 2014 and have been corroborated              this contribution beyond this five-year period is
by others familiar with the sector.
     Comparisons of gold produced by the tra-                   77
                                                                   The Ministry of Mines has launched a program of fieldwork to survey
ditional sector in other countries rich in gold                 mining sites across the country, however, the findings will take some
                                                                time to be assessed and reported upon.
resources suggest that the huge scale of non-                   78
                                                                   Gold smuggled into Sudan for export appears to explain at least part
industrial mining officially reported to be tak-                of the gap between official gold exports and the estimates of domestic
                                                                mine production in this analysis. The Central and East African region
ing place in Sudan is anomalous. Countries such                 is rife with illicit movements of gold and anecdotal evidence is that
as the DRC, Ghana, Tanzania, in which there is a                gold has traditionally moved both in and out of Sudan (Radio Da-
                                                                banga 2014). Unrecorded and illicit movements of gold within and
thriving traditional gold mining sector, report levels          between neighboring countries has reached particularly high levels
of output that are no more than one quarter of the              in recent years, with a disproportionate share of the gold ending up
                                                                in the U.A.E., which is now a major gold trading hub. Unfortunately
level implied by official statements. Figure 5.3.5              gold import data from the U.A.E by country is unavailable after 2011,
illustrates this point. The number of people engaged            reducing the ability to detect discrepancies that might imply unofficial
                                                                exports from Sudan (PAC 2014). The U.A.E. records show a total of
in such mining is similar to those numbers cited in             834 tons of gold imported in 2011, of which roughly one tenth was
Sudan; all three reportedly engage one million or               sourced from the Great Lakes region, which includes Sudan (i.e. about
                                                                80 tons). This includes raw mined gold, old gold (scrap and re-melt),
more. Moreover, if gold is indeed being mined on                and refined gold. Sudan’s official exports of gold to the U.A.E in 2011
the scale claimed, it is difficult to see how that level        were 30 tons. The Ministry of Trade of the U.A.E. is reported to have
                                                                stated that imports from Sudan in 2011 reached US$1.98 billion which
could be sustained for very long.78                             is far in excess of Sudan official exports of US$1.14 billion (Africa
     Drawing on the available evidence, it is pro-              Confidential 2012). This discrepancy might point to significant illicit
                                                                flows on top of official flows. It is assumed that until Sudan’s gold
jected that the traditional mining sector could                 refinery was commissioned in September 2012, all Sudanese exports
support production of some 10–15 tons of gold                   to the U.A.E were of raw mined gold and old gold. In 2012 and 2013
                                                                the U.A.E. accounted for 96 percent and 88 percent of Sudan’s official
per annum over the next five years if gold prices               exports of gold respectively. Supplies of old gold are the only other
remain at current levels and new surface depos-                 source, aside from gold smuggled into Sudan for re-export, that could
                                                                account for the gap between official gold exports and the estimates
its of gold continue to be located as others are                of domestic gold production presented here. Evidence of such sup-
played out.79 The downside risk is that fewer sur-              plies is available from traders in the local gold markets, especially at
                                                                Omdurman, where it is customary for individuals to sell gold jewelry
face deposits can be worked at current prevailing               to raise cash. This takes place, for example, when school fees are due
international gold prices, which are some 30 percent            or when money must be raised for special events or pilgrimage. It is
                                                                assumed that direct selling to the Central Bank and the gold refinery
lower than at peak in 2012. Another limiting factor             may also take place. Other possible sources of old gold are antiquities
is the growing distance of exploitable deposits from            that are illicitly traded to be re-melted. A Dubai TV broadcast in May
                                                                2014 made this allegation.
roads and sources of water. The upside potential is             79
                                                                   Forward projections are necessarily subject to a wide margin of error,
that if gold prices increase in the near future, it will        especially when reliable and comparable data is scarce. Among the
                                                                factors taken into account in generating projections are the nature of
potentially prompt more people to go to gold min-               gold mineralization that is being exploited, economics of conducting
ing areas made more attractive to exploit.                      operations in the various locations where gold is found, the techniques
                                                                and technologies used to locate and exploit gold, limitations imposed
     Combining projections of gold produc-                      by geography, infrastructure and access to water and business con-
tion by industrial and traditional mining,                      straints, including security issues.
140     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      increasingly doubtful. A more likely pattern is that                         The Central Bank of Sudan (CBOS) has been
      industrial mining will become the main source of                        executing a gold buying policy since 2011 with
      domestically mined gold after 2020.                                     the expressed intent to generate hard currency
                                                                              through the export of gold. CBOS is understood to
      Government policies and institutions                                    be able to outbid other buyers of gold through the
                                                                              price it offers and by waiving royalty, which would
      The Government’s drive to promote the min-                              otherwise be payable by licensed exporters. CBOS
      ing sector and divert smuggled gold into formal                         is reported to pay traders in Sudanese Pounds but
      channels demands close consideration of the role                        at the parallel market rate of exchange. In order to
      of public policies and institutions. Although the                       sustain such a policy in a fiscally constrained context
      sharp rise in gold exports coincided with a sharp                       and with limits to access of debt financing it has had
      escalation of gold prices, which no doubt encour-                       to print money, which has been one factor driving
      aged supply, it also coincided with deliberate poli-                    domestic inflation (Africa Confidential 2012). In
      cies of the Government to encourage gold activity                       2014, for example, the overall annual inflation was
      to address the macro-economic dislocation that                          running at over 40 percent compared to the tar-
      resulted from South Sudan’s secession. Aside from                       geted annual inflation rate of 29 percent. The IMF
      launching an active gold buying policy and building                     has called on the authorities to rein in gold buying
      a state-owned gold refinery, the Ministry of Mining                     and other quasi-fiscal operations undertaken by
      has also been actively promoting the acquisition                        CBOS on behalf of the Government (IMF 2014c).
      of exploration rights over large tracts of land. This                   See Box 5.2 for some more details about gold buy-
      has resulted in a marked increase in the number of                      ing programs in general.
      mining agreements signed with a diverse range of                             In 2012 the Government opted to finance con-
      companies. Finally, in certain States the local admin-                  struction of a large gold refinery to take advantage
      istration has become active in the organization and                     of supplies of gold purchased by CBOS. The refin-
      oversight of gold processing and trading linked to                      ery was initiated with a capital of SDG100 million
      the rise in traditional mining.                                         as a partnership between the Central Bank of Sudan



        BOX 5.2: State-Sponsored Gold-Buying Programs
        State-sponsored gold buying programs have been used as one means to promote and bring order to traditional gold mining and
        to combat smuggling. The practice has grown in importance since the 1990s among Central Banks in a number of gold producing
        countries (e.g., the Philippines, Ethiopia), though such programs have had various degrees of success or failure. Buying programs
        typically comprise a mix of measures such as i) providing the Central Bank with a monopoly on gold buying and export; ii) establishing
        networks of state agents with the legal authority and financial resources to buy from mining sites and traders; and iii) contracting a
        third-party to buy on behalf of the government who, in exchange, provide certain financial and technical services to miners. In all
        models, the ability of the state to establish itself as the dominant buyer in the domestic gold market is critical.
           Many buying programs have failed, principally due to the following factors:

        •	   Insufficient liquidity held by the government to purchase gold on a timely and sustained basis.
        •	   Inability of government to compete with prices offered by non-licensed traders and buyers.
        •	   Constraints in broader mineral governance that place obstacles between sellers and buyers.
        •	   Bearing in mind these factors, in order to succeed a government may consider the following:
        •	   Create incentives to sell to official buyers by coupling buying with technical or financial services rendered to miners.
        •	   Reduce or eliminate fees charged by official buyers.
        •	   Establish revenue-sharing arrangements with local government and communities, thereby motivating them to promote and
             encourage the sale of gold to the Government.
                                                           Extractive industries: still important but no longer dominant            141




(70 percent), Ministry of Mines (15 percent) and                     While overall management of the mining
Ministry of Finance (15 percent). The refinery has a            sector is a Federal function, responsibility for
current capacity of 150 tons of gold annually and 30            regulating traditional mining has been delegated
tons of silver, which makes it Africa’s second largest          to State level, giving rise to mutual dependency
refinery after the Rand Refinery in Johannesburg.               but also considerable complexity. The Regulation
No data about its economic performance has been                 of Traditional Mining for Gold provides that States
available for the research for this CEM. In particular,         may issue licenses for traditional mining and
it would be necessary to know the composition of                supervise the sector through the offices of the State
the intake of the refinery, output, and any inventory           Minister of Mines.80 Moreover, the State authori-
held, to be able to better identify sources of gold             ties may group individuals practicing traditional
(either mined or “old” gold) and both the value and             mining into specified locations to locate grinding
timing of gold exports.                                         mills and other processing facilities. Among other
     With strong backing of the Government,                     things, these provisions raise questions about how
the Ministry of Mines has actively promoted                     effectively and consistently mining, health, safety,
development of the industrial mining sector to                  and environmental practices are regulated.
supplement the traditional sector. The Ministry                      Along with delegated responsibility for regu-
has offered tracts of land for mineral exploration              lating traditional mining the States have respon-
demarcated into blocks, which are then the subject              sibility for levying taxes. The same Regulation
of negotiation with interested companies. Well over             mentioned above provides for a 5 percent levy on
a hundred of these blocks have been allocated and               the value of gold the proceeds, which is divided
mining agreements signed. As a result, there are now            50/50 between the Federal Ministry and the State.
a large number of foreign and Sudanese companies                If the States are able to collect such levies this would
holding mineral exploration rights. The work being              represent a significant source of revenue in view of
carried out by these companies ranges from very                 the scale of traditional mining taking place in recent
preliminary exploration programs to locate potential            years, however, it remains unclear how effectively
mineral sites through to more detailed evaluation of            revenue would be collected. Since royalties are cur-
promising mineral deposits. As identified in an earlier         rently waived under the CBOS gold buying program
section, the progress of some advanced gold explo-              no revenues are being raised through this channel.
ration projects suggests that new gold mines may                On the other hand the State’s appear to have been
become operational in the next five or more years.              levying a variety of fees at local sites.
     The Ministry’s efforts to promote the mining
sector have included offering fiscal incentives.                Economic impact of gold
These have been used in part to overcome major
obstacles linked to limited knowledge of opportu-               The rapid emergence of the gold sector will
nities and perceptions of high country risk among               have important direct and indirect effects on
potential foreign investors. The mining legislation             the economy. At the national level gold exports
empowers the Minister of Mines, working with the                have generated large foreign exchange inflows at a
Mining Committee, to set policy, issue licenses,                time when the country has been struggling to adapt
and sign negotiated contracts. These powers appear              to the loss of oil export earnings and a rise in oil
to be exercised independently of the Investment                 product import dependency. While the contribution
Authority, with which all foreign investors must
register. The scope and efficacy of fiscal incentives is        80
                                                                   Available at: http://www.minerals.gov.sd/eng/Regulation_tradi-
addressed in a later section on government revenues.            tional.htm.
142     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      Table 5.1: Main Elements of the Mining Fiscal Regime for Industrial Mines
       Royalty                          Profits Tax                                     Government Free Share          Tax Exemptions
       Gold: 6–7 percent (negotiable)   10 percent in one example seen, but according Negotiable (indicatively 20–30   Import duty and VAT during
       Base Metals: 5 percent           to the National Investment Encouragement      percent)                         exploration
                                        Act 2013, may be exempted
      Source: Company disclosures and interviews with government agencies.



      to the trade balance is clear, the impact of gold on                         inputs and infrastructure, and non-fiscal elements
      investment inflows and government finances is far                            of the investment climate.
      harder to measure. The following assesses the con-                                Flows of investment into the traditional min-
      tribution of the industrial and traditional mining                           ing sector are insignificant at the individual site
      sectors separately.                                                          level; however, the aggregate amount of cash
           Flows of investment into the industrial min-                            and short-term credit flowing into this sector
      ing sector appear to have increased in recent                                must have increased sharply in recent years. No
      years as the number of mining companies                                      records of investment levels have been available. The
      engaged in mineral exploration and launching                                 presumption is that investment is largely obtained
      new mines has grown. However, no records of                                  in the domestic market. Field visits and other
      investment levels have been available in prepara-                            accounts suggest that domestic entrepreneurs have
      tion for this CEM. The Ariab Mining Company                                  been willing to invest in earth-moving equipment
      has substantial investment needs in order to con-                            and transportation in order for new excavations to
      tinue to exploit gold and develop copper deposits,                           be launched. Moreover, at some processing sites
      amounting to some US$500 million over the next                               entrepreneurs have installed banks of grinding mills
      few years. Other companies with advanced explora-                            run by on-site generators. These too would require
      tion projects will need to raise funds to move into                          a considerable upfront outlay.
      mine construction and commissioning, probably of                                  Revenues generated by traditional mining
      the order of some US$50–100 million each. In all                             are generally constrained by the limited extent
      cases, raising finance is constrained by limited access                      to which operations are licensed and subject to
      to the main international mining finance centers,                            taxes. Regulations issued by the Ministry of Mines
      which may tend to slow the pace of investment.81                             make provision for State level regulation and tax
           Revenues generated by industrial mining                                 collection. The proceeds of a 5 percent levy on pro-
      could be significant once mines are brought into                             duction are supposed to be split evenly between the
      production and reach profitability. On the other                             State authorities and the Federal Ministry. However,
      hand, the use of tax incentives reduces, or at least                         it is unclear how widely this is enforced. In place
      delays, likely receipts. Moreover, mines built with                          of direct imposition on miners, the State authorities
      large capital outlays typically take time to reach prof-                     can impose the levy on licensed gold traders and
      itability. The fiscal regime is subject to negotiation of                    dealers, who would factor this into the price paid to
      several key terms. Key elements of the fiscal regime                         sellers. It is unclear, however, how this arrangement
      are set out in Table 5.1. The use of fiscal incentives to
      attract mineral investment is not unusual, however,
                                                                                   81
                                                                                     The presence of companies such as Qatar Mining in Sudan suggest
      the World Bank has observed that very few min-                               that those willing to take on projects in Sudan have access to sources
      eral investments are simply tax driven, principally                          of capital that are neither impacted by sanctions or perceptions of
                                                                                   high country risk. It is also observed that some Sudanese trading and
      because the conditions necessary for investment                              construction firms have obtained mineral rights, suggesting that they
      to take place depend on geology, access to critical                          are more likely to be able to mobilize funds than others.
                                                        Extractive industries: still important but no longer dominant   143




works in practice, especially since a large amount of        respondents declared having no qualification in the
buying is now done by the CBOS through its agents.           sector, a further 8 percent declared having com-
The fact that the CBOS seeks to obtain gold from             pleted primary education, and 7 percent having
sellers and traders who would otherwise smuggle              completed secondary. However it is important to
gold out of Sudan, means that the 5 percent levy             note that of the total 781 respondents, 57 percent
is being waived by the CBOS. Some States are                 could not identify their education level within the
understood to be levying other fees (Sudan Vision            categories offered by the National Census, making
2015b) However, without having seen relevant rev-            the data on education difficult to extrapolate.
enue reports at Federal and State level it remains               Mining is spread across the country, with no
unclear what revenue flows are associated with the           clear relationship between levels of activity and
traditional gold mining sector.                              poverty rates at the district level. For instance, the
                                                             districts of Abu Hamed and Berber, both of the Nahr
Profile of miners and relationship to poverty                el Nir State of the Northern region, report having
                                                             21 and 12 percent, respectively, of the active work-
Most miners work in informal arrangements,                   ing population engaged in mining activities. Yet,
a common characteristic of artisanal min-                    these two districts have some of the lowest poverty
ing around the world. In the National Census                 rates in the country: that is 27.3 and 29.0 percent,
(2008), of the 3.5 million respondents only 781              respectively. Indeed the national poverty rate per
self-identified as miners, all of whom identified as         district, according to the National Census (2008) is
part of the working population (age 15–65). Of               49.8 percent. Consider on the other hand, Giesan
these 781 self-reported miners, 84.8 percent were            district in Blue Nile State of the Central region which
male and 15.3 percent were female. 64.3 percent              reports a mining population of 9 percent and a pov-
of the same 781 respondents reported working                 erty rate of 77.4 percent; or Alrasad and Abu Jibieha
for their own account, meaning these individu-               districts of South Kordofan State in the Kordofan
als work as day laborers. A further 27.7 percent             region, who report 11.1 and 14.7 percent of their
respondents reported being paid employees and                working populations to be in mining, with poverty
3.6 percent reported being an employer within the            rates of 49.8 and 53.3 percent, respectively.
mining industry. It is likely that those who identi-             There has been a doubling of mining employ-
fied as paid employees are working for some of the           ment statistics in certain districts since 2008.
larger exploration and processing operations in the          The Population and Housing Census (2008) had
country. It is therefore important to note that the          reported the highest levels of mining activities in
vast majority of respondents are working likely in           Bahri and Abu Hamed districts: that is 10.0 and
informal arrangements, a common characteristic for           8.7 percent of the working population aged 15–65.
other artisanal mining environments globally. Of             Since that time Abu Hamed has doubled its per-
those self-identified miners, 56.7 percent declared          centage of the mining workforce to 20.9 percent,
their role as the prime earner in the household, with        as stated above. Other districts with significant
an average mean age of 37. Though not disaggre-              percentage increases include Berber (from 4.9 to
gated for gender, it is most likely that these heads         12.0 percent), Giesan (from 3.6 to 9.0 percent),
of households are male. A further 21 percent of the          Abu Jibieha (from 5.9 to 14.7 percent), and Alrasad
self-identified miners were either sons or daughters         (4.4 to 11.1 percent). These statistics would seem
of the head of household with an average age of 23.          to suggest a rise in the level of activity, predomi-
     Education levels of people active in the min-           nantly in traditional gold mining areas. It is how-
ing sector appear to be very low. Ten percent of             ever difficult to conclude whether these increases
144     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      in employment are made up of residents of the area           the depth to which some excavations are dug and
      who are taking further interest in the sector since          minimal use of support structures. Furthermore,
      the government put in place its buying policies.             rudimentary health precautions are taken at min-
      Data from the National Census on migration does              ing sites and processing centers, where water and
      however suggest that cross-districts migration is            hygiene conditions are poor and do not appear to
      almost non-existent, with 99.4 percent of the total          be subject to routine monitoring and inspection.
      surveyed population (3.5 million) reporting no                    Of note is the liberal use of mercury in the
      district migration. Hence it is plausible to assume          recovery of gold at processing centers. During
      that rises are coming from within the available labor        field visits it was evident that mercury is widely
      pool in the respective districts. Further investiga-         available and traded. It is used in the traditional way
      tions are required to understand why levels have             for amalgamation but it was also observed being
      increased and whether this employment is full-time           used in grinding mills to assist with the liberation of
      or seasonal.                                                 gold, prior to washing and amalgamation.82 Mercury
                                                                   is therefore found in tailings generated during crush-
      Environment and social impact                                ing and grinding and seems to be deposited without
                                                                   containment. Tailings at some sites are collected
      The rapid expansion of gold mining has without               for sale to those that have the facilities to re-treat
      doubt impacted local environments and com-                   them to obtain both residual gold and contained
      munities in a variety of ways. The pace at which             mercury. Unfortunately, it is not possible to assess
      gold activity grew after secession in 2011 and the           the scale of mercury used in traditional gold min-
      largely unmanaged proliferation of traditional min-          ing as a whole. Nevertheless, given the amount of
      ing operations is bound to have generated multiple           gold being recovered at sites like the ones visited,
      environmental and social challenges for which                it can be inferred that the amounts are significant.
      regulatory institutions are typically ill-prepared.               The Ministry of Mining seems to be aware
      In the absence of firm enforcement of labor stan-            of the environmental and social consequences
      dards or environmental regulations, miners face              of widespread traditional mining and has taken
      both physical and social vulnerabilities. However,           some measures to deal with them. The Ministry
      given the economic attractiveness offered by min-            of Mines is issuing licenses to companies able to
      ing compared to farming or other rural productive            recover mercury from tailings and other discard
      activities, miners may consciously choose to take            material and it has banned mercury imports other
      on these risks in pursuit of better economic welfare.        than by a state trading company. There is also a
          Traditional mining sites are predominantly               Directorate within the Ministry charged with envi-
      away from heavily populated and cultivated                   ronmental monitoring and enforcement. It has
      areas along the Nile but nonetheless generate                participated in teams sent to inspect mining and
      a variety of harmful impacts. Aerial images bear             processing sites. It has information that has been
      witness to the dramatic impacts of gold rushes with          disseminated on the safe handling of chemicals and
      closely spaced excavations over extensive areas and          technologies to help reduce likely contamination by
      shanty town-type development to support the influx           mercury. How effective these measures are is dif-
      of people. Field visits provided evidence of the             ficult to assess without careful survey of sites. Such
      widespread use of bulldozers to excavate topsoil to
      expose gold bearing rocks with little or no reclama-
                                                                   82
      tion of land as mining plays out. There appears to              Amalgamation is a mineral processing method that extracts gold
                                                                   from mined ore using mercury to create amalgam, which is then
      be little attention to safety hazards, exemplified by        decomposed leaving gold.
                                                         Extractive industries: still important but no longer dominant   145




surveys are beginning to be undertaken, according             will decrease. Even in the high case scenario for oil
to the Ministry. Moreover, early in 2015 the Ministry         production (Figure 5.1.4), this evolution is merely
announced that it had secured the support of the              slowed rather than changed. The same would be
African Development Bank to help finance these                true of a higher oil price environment; however, at
and related activities.                                       least in the short term, the oil price is unlikely to
     Anecdotal evidence of positive and nega-                 provide much support.
tive impacts on livelihoods of the traditional                     The constrained outlook for exports and rev-
gold mining boom in the communities in which                  enues from domestic oil production places the
activity has been concentrated needs to be sup-               spotlight on fees that the Government obtains for
plemented by rigorous data collection. Positive               the handling of South Sudanese transit oil. The
impacts are reflected in the level of activity among          analysis shows that this now has become at least as,
trades that provide inputs into the mining and pro-           if not more, important than the domestic oil sector
cessing value chain. On the other hand, negative              in terms of exports (almost all South Sudanese oil
impacts on the availability of seasonal labor in the          is presently exported) and government revenues. In
agricultural sector have been reported. One report            Figure 5.4 this manifests as the red line circle that
spoke of this reducing the harvest of the sesame crop         is somewhat between the oil position of 1999/2010
in some areas. There were several informal reports            and 2025. Under present arrangements, the GOS
of school students joining the gold rush in 2012–13,          obtains fees from both the Government of Sudan
either as child labor or accompanying their families.         and the JOCs-South at levels that yield a consider-
                                                              able fiscal surplus (after meeting tariffs charged
D. Combined Implications of Oil and                          by the operators of processing and transportation
    Mining                                                    facilities in Sudan). Although the data necessary to
                                                              quantify it precisely is not available, it would be
While it appears inevitable that the contribution             reasonable to assume a margin over tariffs of some
of oil to Sudan’s economic development will                   3:1. Moreover, this source of fiscal revenues is not
decline over time it is by no means certain that              linked to oil prices, so it is largely protected from
the mineral sector will be a full substitute for              present oil price uncertainties. An additional factor
it, even though the mineral sector is quite likely            is that the TFA provides for a shortfall payment to
to make a bigger contribution than it has in the              be made by GRSS to GOS in the event that produc-
past, most notably in terms of exports. Figure 5.4            tion in South Sudan does not meet expectations.
shows how the contribution of the two sectors to              These arrangements effectively eliminate two of the
Sudan’s economy might evolve in the medium term.              principal sources of fiscal risk to Sudan.
The oil sector was the mainstay of the economy for                 Notwithstanding the fiscal benefits obtained
over a decade, whether measured in terms shares               from transit fees, these arrangements can only be
of GDP, exports, or government revenues (See                  expected to be transitory, a fact acknowledged
Figure 5.4, red large circle on the right upper side).        by the expiration dates of relevant agreements.
Due to the reduced scale of reserves and production           So while the current fiscal benefits, when com-
and limited scope for reversing this, at least in the         bined with revenues from the domestic oil sector
medium term, the contribution is already shrink-              help sustain the contribution of oil to the Sudanese
ing and is likely to shrink even further by 2030. In          economy, there are medium terms risks relating to
Figure 5.4 this is characterized by a move towards            i) an uncertain outlook for South Sudan’s produc-
the lower left side, which shows that both the share          tion rate (as well as uncertainty over TFA volumes
in sports and the share in Government revenue                 if conflict in South Sudan persists for another year);
146                      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




                   Contribution of Oil and Minerals
       FIGURE 5.4:                                                                                  not been readily available. Conservative expecta-
                                       to Sudan’s Economy                                            tions of the fiscal contribution of the traditional
                                                                                                     mining sector are reflected in Figure 5.4 (green
                           Gold’s contribution is growing                                            circles for gold) in which the estimated contribution
                           but has been mainly to exports                       1999–2010
                                                                                                     of gold in 2014 is weighted heavily towards exports
      Share of exports




                                            2025?                    2014
                                                                                                     rather than to government revenues.
                               2014
                                                                                                          Traditional mining may, with sufficient sup-
                                                2014        2025?                                    port, provide a source of livelihood in rural areas
                                        2025?
                                                                Oil’s contribution is declining      that may have few other sources of economic sup-
                                                                but transit fees lessen the impact
                           1999–2010                                                                 port. Traditional mining can create direct, indirect,
                                            Share of government revenue
                                                                                                     and induced demand for labor, goods, and services
                            Share of GDP:       Oil    Including transit fees      Minerals
                                                                                                     in areas where few alternatives exist. Field visits
       Source: World Bank staff own visualization.
                                                                                                     provided ample evidence that in localities in which
                                                                                                     traditional mining has been taking place, market
       and ii) the incentives created for South Sudan’s oil                                          opportunities had been opened up for vendors
       to be used either domestically or exported via an                                             of equipment and suppliers of support services.83
       alternative route. Figure 5.4 shows the combined                                              With sufficient mapping and resource evaluation
       contribution of the oil sector diminishing over the                                           it is likely possible to identify areas that are suffi-
       medium term both in terms of exports and govern-                                              ciently rich in gold so that traditional mining could
       ment revenues.                                                                                be sustained for more than a few years. Experience
            The Government’s emphasis on promoting                                                   from around the world suggests that this planned
       alternatives to the oil sector is well founded,                                               approach is only likely to take place if traditional
       and there have been early results in the form of                                              mining takes place on a formalized basis, since this
       the boom in gold exports. A policy of encourag-                                               provides a basis for miners to obtain legal title and
       ing gold produced domestically to be exported offi-                                           hence finance. Policies for supporting artisanal and
       cially so that foreign exchange could accrue to the                                           small-scale mining, such as in Tanzania, place an
       Government seems to have had success, at least in                                             emphasis of formalization and the reservation of
       the short term, even though a major driver of gold                                            areas considered to have high potential after tech-
       activity has been the gold price and the main sup-                                            nical investigation.
       ply response has been from the traditional mining                                                  Industrial mining may take some time to
       sector, not the industrial mining sector. The main                                            reach its potential; however, such a develop-
       policy concerns about this strategy is how long will                                          ment over the medium to long term would be
       it be sustainable in the face of lower gold prices                                            more likely to provide a more balanced export
       and/or diminishing scope for exploitation of gold                                             and revenue contribution to the economy than
       by traditional methods.                                                                       traditional mining. The Government has made
            Whereas the increase in traditional gold                                                 promotion of industrial mining a priority and taken
       mining has fueled a gold export boom, its fiscal                                              a number of measures to encourage investment in
       contribution has been less significant. It is unclear                                         mineral exploration. There are positive signs that
       how much of a fiscal contribution this sector can                                             the technical conditions on which industrial mining
       sustain given policies that i) devolve fiscal power to                                        could develop are in place, backed by efforts of the
       State level; and ii) depend on offering competitive
       prices to sellers of gold who would otherwise avoid                                           83
                                                                                                       This was so in Abu Hamed, for example, in which one section of
       official channels. The data needed to assess this has                                         town was dedicated to the sale of mining and processing equipment.
                                                         Extractive industries: still important but no longer dominant   147




Ministry of Mines to enhance the geological database.         over the medium term could be broadly positive,
The mineral rich Arabian Nubian Shield straddles              however, the scale of the sector is very unlikely
Sudan and several of its neighbors and has been host          to rival that of the oil sector in its heyday and
to mining activity over millennia owing to an abun-           its fiscal impact may be substantially lower.
dance of accessible surface and near-surface deposits         These considerations are reflected in Figure 5.4 by
of gold and other valuable minerals. Large-scale gold         the modest increase indicated in export contribu-
and copper-gold mines developed in neighboring                tion and low increase indicated in the contribution
Egypt, Eritrea, and Saudi Arabia provide reason for           to government revenues. There are numerous sce-
optimism. However, the degree to which Sudan has              narios that could unfold, including much less posi-
been explored using modern techniques to establish            tive ones, in which a lower gold price environment
the viability of mechanized mining and to detect              coupled with continuing constraints on financing of
deeper lying deposits remains very limited.                   major mineral projects means that the recent gold
     For investment in industrial mining to take              mining boom wanes. Any sustained program of
place on a consistent basis there will need to be             reforms to make the industrial mining sector more
proof that projects can be brought to commercial              competitive and to strengthen regulatory institu-
fruition, notwithstanding financing challenges                tions would require strong leadership and probably
and a limited track record in the implementation              external support to enhance institutional capability
of contracts through all investment phases. In                and effectiveness.
this regard the financing by Ariab Mining Company                  Any more thorough evaluation of the contri-
of the expansion plans at the Hassai mines and of             bution of the mining sector to economic develop-
progress of some of the more advanced gold explo-             ment in Sudan would have to take into account
ration projects would send a very positive signal to          negative externalities such as harmful environ-
the international mining community. Analysis car-             mental and social impacts; neither is captured in
ried out for this CEM in 2014 found that several              Figure 5.4. At this stage, impacts of this kind arise
aspects of the mining law and contracts, as well              mainly in the context of traditional gold mining,
as regulatory arrangements could be improved.                 though adequate regulatory care will be needed to
Moreover, it was found that some of the non-fiscal            ensure that further development of the industrial
conditions necessary to attract and retain large-scale        mining sector does not generate an excessive environ-
investment through the full cycle from exploration            mental and social burden. There is already evidence
to production are not in place, such as early disclo-         that traditional gold mining places the environment,
sure of right-holdings and clarity as to how surface          as well as the health and safety of laborers and their
access is obtained. That being the case, the value            dependents, at some risk, given its very rapid and
of tax incentives, which have been used to induce             widespread proliferation. It will be important for
investment, may be questioned.                                such risks to be managed carefully to ensure that a
     In view of the uncertainties addressed above,            good balance is achieved between economic oppor-
the contribution of mining to Sudan’s economy                 tunity and environmental and social threat.
                                                                                                                                                                                          ANNEXES

Annex 1: MAMS Model: Structure, Data                                                              MAMS includes three core institutions: house-
and Assumptions                                                                               holds, government, and the rest of the world.

Structure of MAMS                                                                              Households (an aggregate domestic private
                                                                                                                  institution) earn incomes from factors, trans-
Figure 0.1 summarizes the payment flows that are                                                                  fers, and interest from the government (with
captured by MAMS in any year. Activities produce,                                                                 the interest due to loans from the households to
selling their output at home or abroad, and using                                                                 the government), and transfers from the rest of
their revenues to cover their costs (of intermediate                                                              the world, net of interest on household foreign
inputs, factor hiring, and taxes). Their decisions                                                                debt.84 These are used for direct taxes, savings,
to pursue particular activities with certain levels                                                               and consumption. The savings share depends
of factor use are driven by profit maximization.
The shares exported and sold domestically depend
                                                                                              84
on the relative prices of their output in world and                                             The household may lend to the government and borrow from the
                                                                                              rest of the world; given this, it may receive interest payments from
domestic markets.                                                                             the government and make interest payments to the rest of the world.




FIGURE 0.1: Aggregate Payment Flows in MAMS
             Factor                           domestic wages and rents                                                                                           private investment financing
                                                                                                                                    Households
             Markets
                                                       private consumption




                                                                                                                  trnsfr+interest



                                                                                                                                      dir taxes

                                                                                                                                                  lending
       factor demand




                                                                                indir taxes
                                                                                                                                                                        trnsfr-interest




                                                                             gov cons and inv                                       Government                                             Private
                            interm input demand                                                                                                                                            Capital
                                                                                                trnsfr-interest




                                                                                                                                                                                           Account
                                                                                                                                                       lending




                         Activities
                                                                                                                                                                                              lending




                                                      Domestic
                                                                                                                                                                                                        FDI




                                                     Commodity                                                                        Rest of
                                                      Markets                     imports                                             World
                       domestic demand

                                                                                  exports

      foreign wages and rents                                                private investment
150     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




         on per-capita incomes. Their consumption deci-            faces exogenous world prices—Sudan is viewed
         sions change in response to income and price              as a small country in world markets without any
         changes. By construction (and as required by the          impact on the import and export prices that it
         household budget constraints), the consump-               faces. Domestic demanders decide on import and
         tion value of the households equals their income          domestic shares in their demands on the basis of
         net of direct taxes and savings.                          the relative prices of commodities from these two
       The government gets its receipts from taxes               sources. Similarly, domestic suppliers (the activi-
         and transfers from abroad; it uses these for              ties) decide on the shares for exports and domestic
         consumption, transfers to households, and                 supplies on the basis of the relative prices received
         investments (providing the capital stocks                 in these two markets.87
         required for production of government ser-                     Factor markets reach balance between demands
         vices), drawing on domestic and foreign bor-              and supplies via wage (or rent) adjustments. Across
         rowing for supplementary investment funding.              all factors, the factor demand curves are down-
         To remain within its budget constraint, it                ward-sloping reflecting the responses of produc-
         either adjusts some part(s) of its spending               tion activities to changes in factor wages. On the
         on the basis of available receipts or mobilizes           supply side of the labor market, unemployment
         additional receipts of one type or more in order          is endogenous—the model includes a wage curve
         to finance its spending plans.                            (a supply curve) that is upward-sloping until full
       The rest of the world (which appears in the               employment is reached, at which point it becomes
         balance of payments) sends foreign currency to            vertical (see Figure 0.2; its supply curve assumes
         Sudan in the form of transfers to Sudan’s gov-            a minimum unemployment rate of 5 percent).
         ernment and households (net of interest pay-              Unemployment is defined more broadly than in
         ments on their foreign debts), FDI, loans, and            official statistics to include un- and under-employ-
         export payments.85 Sudan uses these inflows to            ment. In the simulations, a broad definition of
         finance its imports. The balance of payments
         clears (inflows and outflows are equalized) via
         adjustments in the real exchange rate (the ratio          85
                                                                      Sudan’s economy is treated as fully dollarized.
                                                                   86
                                                                      For example, starting from a balanced situation, a balance of pay-
         between the international and domestic price              ments surplus could arise from increases in foreign exchange receipts
         levels in domestic currency), which take place            (perhaps due to an increase in foreign aid or the world price of an
                                                                   export). The resulting increase in domestic demands (be it from the
         when the balance is in surplus or deficit.86              government or other agents) would not change international (export
                                                                   and import prices) in foreign currency but reduce their prices relative
                                                                   to domestic prices (the prices of domestic output sold domestically,
           Private investment financing is provided from           via an appreciation of the model exchange rate and/or an increase in
      domestic private savings (net of lending to the              domestic prices, in both cases representing an appreciation of the real
                                                                   exchange rate. This relative price change would encourage domestic
      government) and foreign direct investment (FDI).             producers to switch part of their outputs from exports to domestic
      It is assumed that private investment spending will          sales and induce domestic demanders to switch part of their demands
                                                                   from domestic sources to imports. This process would continue until
      adjust in response to changes in available funding           the balance of payments surplus is eliminated. The opposite would
      or that private savings will adjust to finance a pre-        happen in the case of a balance of payments deficit.
                                                                   87
                                                                      An individual production activity does not respond to changes in
      determined private investment level.                         relative prices for exports and domestic sales if its output only has
           In domestic commodity markets, flexible prices          one destination, either exported in full or sold domestically in full. By
                                                                   the same token, domestic demanders do not have a choice between
      ensure balance between demands for domestic                  imports and domestic output for commodities if only one source is
      output from domestic demanders and supplies                  available. In the case of Sudan, some commodities do not enter trade
                                                                   (including government services) while others are only traded in one
      to the domestic market from domestic suppliers.              direction (like the output of gold mining, which only is exported).
      The part of domestic demands that is for imports             Such structural features reduce the flexibility of Sudan’s economy.
                                                                                                                   Annexes          151




unemployment increases the scope for the existing        FIGURE 0.2: The Labor Market in MAMS
labor force to generate a larger (smaller) amount               5
of effective labor if the incentives to work were to            4
improve (deteriorate) without any change in the
                                                                3
labor-force participation rate; typically, this seems




                                                         Wage
realistic. Over time, the labor force grows due to              2
demography. For non-labor factors, the supply                   1
curves are vertical in any single year (the supply
is fixed) but switch over time as supplies change               0
                                                                    85                       90                               95
(see next point).                                                                 100 – unemployment rate (%)
     The above discussion refers to the functioning of                                Supply          Demand
model economy in a single year. In MAMS, growth
over time is endogenous. The economy grows due to
accumulation of capital (determined by investment
and depreciation), labor (determined by demogra-              Table 0.1 shows the disaggregation of the data-
phy), and other factors (following exogenous growth      base for this analysis. The database consists of a
trends), as well as because of improvements in TFP.      Social Accounting Matrix (SAM), data on stocks
Apart from an exogenous component, TFP depends           (of factors of production and debts), elasticities (in
on the levels of government capital stocks.              production, consumption, and trade), and miscel-
     The disaggregation of MAMS varies widely            laneous other data.88 The SAM was constructed
across different applications depending on data          on the basis of a 2004 SAM for Sudan (Siddig
availability and the kinds of questions the model        2009) and data for 2012 that reflect the post-
is called upon to analyze. For the Sudanese appli-       secession macro, trade, and sector value-added
cation, the database is disaggregated into some 60       structure of Sudan’s economy, parts of which was
accounts (see Table 0.3), indicative of the aspects      used to build a macro SAM (Table 0.2). The 2012
of Sudan’s economy that the model is able to con-        information is primarily based on IMF (2014a,
sider. Among other things, the database includes         2014b, 2014c), and CBOS (2014). In order to
11 production sectors. The factors of production         ensure consistency with minimal adjustments, a
are split into labor, capital (private and govern-       matrix estimation program was applied to the SAM
ment), and 4 natural resource factors (land for          (Robinson et al. 2001).89
crops, land for livestock, oil, and gold), which
are specific to individual sectors and thereby help
making sure that their output growth respects
                                                         88
                                                            A SAM is a square matrix that that provides a comprehensive, con-
natural constraints.                                     sistent economy-wide summary of the payments in an economy during
                                                         one year. It links institutions, factors, and production sectors. The
                                                         latter are split into activities (which carry out production) and com-
MAMS Database                                            modities (representing activity outputs or imports without domestic
                                                         production). Given the consistency requirement, each account must
                                                         be balanced—its receipts must equal its outlays. The accounts of the
Any analysis of Sudan’s economy faces severe data        Sudan SAM closely match the disaggregation of MAMS (Table 0.1).
challenges, severely aggravated by the 2011 seces-       89
                                                            More concretely, on the basis of 2012 data and structural features
                                                         of the 2004 SAM (such as household consumption shares and the
sion. Most available data apply to pre-2011 Sudan.       input structure of production activities), an initial unbalanced 2012
In this situation, it is important to strive to make     was constructed. The estimation program generates a balanced SAM
                                                         subject to constraints that subset of cells exactly or approximately sum
the best possible use of what is available in order      up to observed 2012 data while otherwise minimizing deviations from
to satisfy analytical needs.                             the structure of the initial SAM.
152      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      Table 0.1: Disaggregation of Sudan MAMS                                 see Annabi et al. (2006). For the oil sector, it is
       Category            Item                                               assumed that imports are near perfect substitutes
       Sectors             Crops                                              for domestic products (in effect permitting a smooth
                           Livestock                                          substitution of imports for domestic products as
                           Gold and other mining                              the latter decline in importance) whereas, output
                           Oil and products**                                 is allocated in near fixed proportions between
                           Manufacturing
                                                                              exports and domestic sales (reflecting that a rela-
                           Construction
                                                                              tively inflexible part of the output is refined and
                           Electricity and water
                                                                              sold domestically. Given the consistency features
                           Trade, restaurants and hotels
                                                                              of an economy-wide model like MAMS (in markets
                           Transport and communications
                                                                              for factors and commodities, quantities demanded
                           Government services
                                                                              and supplied must be equal and all agents live under
                           Other services
                                                                              budgetary constraints) most elasticities tend to play
       Factors             Labor
                                                                              a qualitatively minor role as long as they stay within
                           Capital – private
                                                                              accepted bounds.
                           Capital – government
                                                                                   Foreign and domestic debts stocks are based
                           Natural resource of gold and other mining sector
                                                                              on the above-mentioned IMF and World Bank
                           Natural resource of oil sector
                                                                              sources. The growth rates for utilization of the
                           Land for crop production
                                                                              stocks of natural resources (oil and gold), which
                           Land for livstock production
                                                                              are exogenous, were defined to match recent
       Institutions*       Household (domestic non-government institution)
                                                                              trends and projected production growth for
                           Government
                                                                              these sectors up to 2030. Private capital stocks
                           Rest of the World
                                                                              were defined on the basis of cross-country data
                           Financial institution (holds foreign reserves)
                                                                              on stocks and profit rates, and adjusted to ensure
       Auxiliary           Taxes – direct
                                                                              plausible capital stock growth and rents for the
       institutional
                           Taxes – domestic indirect
                                                                              base scenario (Arslanalp et al. 2010; Nehru and
       accounts
                           Taxes – value added
                                                                              Dhareshwar 1993). Data on population (total and
                           Taxes – imports
                                                                              in labor force age), and labor (stock, employment,
                           Subsidies
                                                                              and unemployment) are based on UN (2014),
                           Interest – dometic
                                                                              UNCTAD (2014), and IMF (2013).
                           Interest – foreign
                                                                                   The poverty results are generated by a module
       Investment          Investment – private
                                                                              that draws on the simulated evolution of household
                           Investment – government
                                                                              per-capita consumption, a Gini coefficient (which
      *Household government, and rest of the world have current and capital
                                                                              is exogenous), and an initial poverty rate, assum-
      accounts.                                                               ing that consumption is log-normally distributed.90
      **The oil sector covers both crude production and refining.
                                                                              Using 2009 data for the then Northern provinces,

                                                                              90
                                                                                 It is widely accepted that a log-normal distribution provides a good
           The elasticities that are used are displayed in                    approximation for within-country income and consumption distribu-
                                                                              tions (Bourguignon 2003; Easterly 2009). Inter alia, as noted by East-
      Table 0.3. They were defined on the basis of the                        erly (2009, pp. 28–29): (i) empirical cross-country analysis indicates
      literature and author assessments, drawing on a                         that the higher the initial poverty rate, the lower the poverty elasticity
                                                                              of growth; and (ii) the absolute value of the simulated poverty-elasticity
      combination of econometric evidence and experi-                         of growth with a log-normal distribution is inversely related to the
      ence from similar country applications; for a survey,                   initial poverty rate and positively related to per-capita income.
                                                                                                                                           Annexes         153




Table 0.2: Macro SAM for Sudan, 2012 (% of GDP)
                                                      tax- tax- tax- tax- tax- int- int- cap- dcap- cap- cap- inv- inv-
            act com fac          hhd gov row           dir imp exp act va sub dom row hh gov fin row prv gov total
 act               97.2                                                                                                                            97.2

 com                             83.6    5.7    8.8                                  1.8                                            17.2    1.5   118.6

 fac        94.9                                0.0                                                                                                94.9

 hhd                      93.8           3.0    0.9                                        1.4                                                     99.1

 gov                       0.0    1.7           0.4                                                                                                  9.8

 row               16.8    1.1    0.0    0.0          0.7   2.1   0.0   2.3    2.6                2.8                                              20.6

 tax-dir                          0.7                                                                                                                0.7

 tax-imp            2.1                                                                                                                              2.1

 tax-exp            0.0                                                                                                                              0.0

 tax-act     2.3                                                                                                                                     2.3

 tax-va             2.6                                                                                                                              2.6

 sub                                     1.8                                                                                                         1.8

 int-dom                                 1.4                                                                                                         1.4

 int-row                          0.1    2.7                                                                                                         2.8

 cap-hhd                         13.0                                                                                  5.4   4.6                   22.9

 cap-gov                                –4.8                                                             2.2           1.3   2.8                     1.5

 cap-fin                                                                                                 7.5                                         7.5

 cap-row                                       10.5                                                                    0.9                         11.3

 inv-prv                                                                                                 13.2                3.9                   17.2

 inv-gov                                                                                                        1.5                                  1.5

 total      97.2 118.6 94.9      99.1    9.8   20.6   0.7   2.1   0.0   2.3    2.6   1.8   1.4    2.8    22.9   1.5    7.5   11.3   17.2    1.5
 Notation
 act         production activities                     tax-exp    taxes – exports                         cap-fin     capital account – financialsystem
 com         commodities                               tax-act    taxes – activities                      cap-row     capital account – restofworld
 fac         factors                                   tax-va     taxes-value-added                       inv-prv     investment – private
 hhd         household (domestic non-government)       sub        subsidies                               inv-gov     investment – government
 gov         government                                int-dom    interest on domestic government debt
 row         rest of world                             int-row    interest on foreign debt
 tax-dir     taxes – direct                            cap-hhd    capital account – household
 tax-imp     taxes – imports                           cap-gov    capital account – government




the Gini coefficient is set at 0.353 and the initial                           is broadly consistent with recent World Bank and
poverty rate at 46.5 percent (World Bank 2011a,                                IMF projections, including the analysis of Sudan’s
p. 2; World Bank 2014b).                                                       mineral sectors in Chapter 5 of this CEM. It serves
                                                                               as a benchmark for comparisons with alternative
Scenario Assumptions                                                           simulations. However, given that it is generated
                                                                               with the help of a more disaggregated model than
The base scenario is designed to provide a plausible                           those used for these World Bank and IMF projec-
picture of Sudan’s development up to 2030 that                                 tions, the simulations offer additional detail on
154      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      Table 0.3: Value-Added, Consumption, and                                    rates in recent decades.91 Given projected popula-
                  Trade Elasticities                                               tion growth of 2.2 percent per year, average annual
                                   VA        LES      Armington         CET        growth in GDP at factor cost per capita is around
       Crops                       0.70      0.56          2.00         2.00       1.8 percent.
       Livestock                   0.70      0.76          2.00         2.00           Among other assumptions, it is important to
       Gold                        0.08                                            take note of the following:
       Oil                         0.08      1.23         18.00         0.38
       Manufacturing               0.70      1.10          0.90         0.90        Government. Domestic payments to and from
       Construction                0.70                    1.50                       the government evolve on the basis of IMF/
       Electricity-water           0.70      1.60                                     WB projections, imposed either as exogenous
       Trade                       0.70                                 0.90          real growth rates (for consumption and invest-
       Transportation              0.70      1.23          0.50                       ment) or as exogenous GDP shares (for import
       Government services         0.30      1.38                                     tariffs, domestic borrowing, domestic transfers,
       Other services              0.70      1.60          0.50                       and subsidies. Payments received from abroad
      Notation:                                                                       —foreign grant aid and foreign borrowing—
      VA = value added (elasticities of factor substitution in CES VA function);      are exogenous in foreign currency, set at levels
      LES = Linear Expenditure system (elasticities of household consumption
      with respect to total consumption spending);                                    that are consistent with IMF/WB projections.
      Armington = CES aggregation function for domestic demand (elastici-             Domestic and foreign interest payments depend
      ties of substitution between imports and domestic output);
      CET = Constant Elasticity of Transformation function for domestic output        on exogenous interest rates and the level of
      (elasticities of transformation between exports and domestic supply).           foreign and domestic debt stocks; it is assumed
                                                                                      that, starting from 2015, foreign interest is paid
                                                                                      in full. Domestic taxes (direct and indirect) are
      developments up to 2030 that are consistent with                                scaled to clear the government budget. Given
      these macro projections.                                                        that all other major payments are defined to be
           The simulations start in 2012, the base-year for                           close to projections, the GDP shares for tax pay-
      the SAM and the bulk of the database. Coverage of                               ments are also close to projections.
      the base scenario starts with the key assumptions,                            Savings-investment. Government investment is
      followed by a presentation and analysis of selected                             financed within the government budget. FDI is
      simulated results.                                                              exogenous in foreign currency. The GDP share
           In order to generate a base scenario that satisfies                        of domestically financed private investment is
      the criteria specified above, it is crucial to specify                          exogenous while the private savings rate adjusts
      appropriate rules and values for growth in GDP at                               to generate needed financing—domestic private
      factor cost and various payments (involving the gov-                            savings net of lending to the government is allo-
      ernment, the household, and the rest of the world),                             cated to investment.
      as well as mechanisms for the clearing of macro bal-
      ances (the government budget, the balance of pay-
      ments, and the private savings-investment balance).
                                                                                   91
                                                                                      Technically, the level of GDP is fixed, removing one variable from
           For the base scenario (but not for the other                            the model for each solution year. At the same time, a variable that
      scenarios), annual growth in GDP at factor cost is                           introduces a uniform adjustment in TFP in each production activity is
                                                                                   flexed, assuring that the exogenous GDP level is reached and that the
      exogenous, in the ranges of 3–4 percent up to 2016                           model continues to have an equal number of equations and variables.
      and 4–5 percent in subsequent years, generating an                           Among production activities, TFP is not adjusted for petroleum and
                                                                                   other mining since production growth for these two sectors is based
      average of 4.1 percent for the period 2013–2030, a                           on exogenous projections. For all non-base scenarios, the GDP level
      figure that is slightly below Sudan’s average growth                         is flexible whereas the TFP adjustment variable is fixed.
                                                                                                                                           Annexes         155




Table 0.4: Definitions of Non-Base Scenarios
 Name             Description
 Crop+            TFP growth for crop agriculture increased by 2 percentage points during the period 2015–-2030.
 Rem–             Zero growth in private transfers, including worker remittances, from abroad, 2015–2030.
 Crop+rem–        Combining the changes for Crop+ and Rem–
 Rexrdepr         Series of simulations with real exchange rate depreciation in conjunction with withdrawal of foreign exchange to build up reserves
 TofT+            Stepwise* 10% decrease in foreign-currency import prices (excluding oil) in 2016–2018; stepwise* 5% increase in foreign-currency
                  export prices (excluding gold and oil) in 2016–2018. Rationale: Normalized relations with RoW
 Aid+             Stepwise* increase in foreign grants to government in 2016–2018, in 2018 and subsequent year at $150 mn; stepwise* increase in conces-
                  sional government foreign borrowing in 2016–2018, in 2018 and subsequent year at $600 mn. Rationale: Normalized relations with RoW.
 Debt–            Stepwise* foreign debt relief in 2016–2018, by 2018 having removed 75% of Sudan’s 2016 debt. Rationale: Normalized relations with RoW.
 Normal           Combining the changes for TofT+, Aid+ and Debt–
*Stepwise = 25% of change in 2016, 62.5% in 2017, and 100% in 2018. New levels of prices, grants and borrowing stay in place 2019–2030.




 Balance of payments. The government-related                                        an annual rate of 6.7 percent; for gold, a recent
   items and FDI were described above. Among                                          production decline is projected to continue until
   other non-government items, on the inflow                                          2016 after which production will stabilize with
   side, net private transfers and net private foreign                                a resumption of growth for 2019–2030 at an
   borrowing (which is small) are both exogenous                                      annual rate of 3.4 percent. After the precipitous
   in foreign currency; among the outflows, net                                       decline in 2015, oil (and oil product) export and
   additions to foreign reserves are exogenous in                                     import prices (in constant US$) are projected to
   foreign currency while private interest payments                                   increase gradually up to 2025 after which they
   (like their government equivalents) depend                                         stabilize, with an average annual growth rate of
   on private foreign debt. The balance clears via                                    3.4 percent for the period 2016–2030. For gold,
   adjustments in the real exchange rate, which                                       export prices are projected to continue their
   influences export and import quantities and                                        gradual decline up to 2025 after which they also
   foreign currency values.92, 93                                                     stabilize, for the full period 2013–2030 falling
 Oil and gold price and production data. For                                        at a rate of 0.9 percent.
   both commodities, production data is based
   on Chapter 5 of this CEM whereas interna-
   tional prices (in constant US$) are based on
   IMF (2014c), and World Bank (2015a, 2015d);                                  92
                                                                                   The real exchange rate is defined as follows: PW•EXR/PD where
                                                                                PW is an index of export and import prices in foreign currency, EXR
   in the absence of World Bank price projec-                                   the nominal exchange rate (local currency units per foreign currency
   tions after 2025, prices are assumed to stay at                              unit), and PD an index of prices of domestic output sold domestically.
                                                                                93
                                                                                   For example, a real depreciation raises the prices in local currency
   the 2025 level during the period 2026–2030.                                  of exports and imports, for exports inducing domestic suppliers to
   The information is shown in the main text,                                   increase quantities and foreign currency values and, for imports,
                                                                                inducing domestic demanders to decrease quantities and foreign
   Figure 2.2.1. For oil, production is projected to                            currency values, with the result being a surplus (or reduced deficit)
   peak in 2015 after which it declines gradually, at                           in the balance of payments.
156      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      Scenario Results



      Table 0.5: Real Macro Indicators by Simulation (%annual Growth 2013–2030)
                                               2012        Base      Crop+       Rem–       Crop+rem–          TofT+         Aid+        Debt–       Normal
       Absorption                               243.1         3.1        3.9        2.2            3.2            3.5          3.2          3.4          3.8
       Consumption – private                    188.3         2.9        3.9        2.0            3.2            3.3          3.0          3.2          3.7
       Consumption – government                  12.8         3.7        3.7        3.7            3.7            3.7          3.7          3.7          3.7
       Fixed investment – private                38.6         2.7        3.5        1.6            2.6            3.2          2.9          3.1          3.7
       Fixed investment – government              3.5         8.8        8.8        8.8            8.8            8.8          8.8          8.8          8.8
       Exports                                   19.8         6.0        7.6        6.7            8.2            6.2          6.0          5.9          6.1
       Imports                                   37.7         3.4        4.7        2.5            4.0            4.1          3.6          3.8          4.5
       GDP at factor cost                       213.6         4.1        5.0        3.7            4.8            4.3          4.2          4.3          4.6
       Total factor employment (index)                        3.0        3.3        2.8            3.1            3.2          3.1          3.2          3.4
       Total factor productivity (index)                      1.1        1.7        1.0            1.7            1.1          1.1          1.1          1.2
       GNI                                      216.5         3.9        4.9        3.5            4.7            4.2          4.0          4.2          4.5
       GNDI                                     219.5         4.1        5.1        3.5            4.6            4.4          4.2          4.4          4.7
       GNI per capita                             5.8         1.7        2.6        1.3            2.4            2.0          1.8          2.0          2.3
       GNDI per capita                            5.9         1.9        2.8        1.3            2.4            2.1          2.0          2.1          2.4
       Real exchange rate (index)                             4.4        3.7        4.8            4.0            4.2          4.3          4.3          4.1
       Unemployment rate (%)                     20.0       10.8         5.0       12.5            6.0            6.9          9.8          8.5          5.0
       Headcount poverty rate (%)                46.5       38.4       29.4        47.2          35.8           34.2         37.4         35.8         31.4
      Note:
      1. Unless otherwise noted, column for initial year shows data in mn 2012 SDG.
      2. For the unemployment and poverty rates, the base-year and simulation columns show base-year rate and simulation-specific final-year rates, respectively.
                                                                                                                                                    Annexes    157




Table 0.6: Macro Indicators in 2012 and by Simulation in 2013 (% of GDP)
Indicator                                2012     Base     Crop+         Rem–          Crop+rem–            TofT+          Aid+           Debt–      Normal
Absorption                               108.0    104.7     103.3              96.3           96.6          104.2           105.5         106.951      106.9
Consumption – private                     83.6     81.7      80.4              74.7           75.0           81.3            82.3          83.446       83.5
Consumption – government                   5.7      5.2          4.7            5.5            4.9            5.0             5.2           5.113        4.9
Investment – private                      17.2     14.3      14.9              12.4           13.3           14.6            14.5          14.913       15.3
Investment – government                    1.5      3.6          3.2            3.7            3.4            3.3             3.5           3.479        3.2
Exports                                    8.8     26.0      27.1              33.0           32.7           25.8            25.6          24.7         24.1
Imports                                   16.8     30.7      30.3              29.3           29.3           30.0            31.1          31.6         31.0
GDP at market prices                     100.0    100.0     100.0          100.0             100.0          100.0          100.0          100.0        100.0
Net indirect taxes                         5.1      9.0          8.2            9.8            8.7            8.5             8.3           6.8          5.8
GDP at factor cos                         94.9     91.0      91.8              90.2           91.3           91.5            91.7          93.2         94.2
GNI                                       96.2     93.6      94.5              92.9           94.0           94.0            93.2          96.2         96.0
GNDI                                      97.5    103.6     102.4              95.0           95.6          103.2          103.3          105.8        105.0
Foreign savings                           10.5      1.1          0.9            1.3            1.0            1.0             2.1           1.1          1.9
Gross national savings                     8.2     16.7      17.2              14.9           15.7           16.9            15.9          17.3         16.7
Gross domestic saving                     10.7     13.1      14.8              19.8           20.1           13.7            12.6          11.4         11.6
Foreign government deb                    81.4    113.8      89.8          127.9              97.7          103.9          126.5           37.0         46.2
Foreign private debt                       2.6      3.7          2.9            4.1            3.1            3.3             3.6           3.5          3.2
Domestic government debt                  12.9     16.3      13.6              17.4           14.3           15.1            16.1          15.7         14.4




Table 0.7: Government Receipts and Spending in 2012 and by Simulation in 2030
           (% of Nominal GDP)
                                                                                                       Final year
Indicator                                        2012     Base         Crop+          Rem–     Crop+rem–            TofT+      Aid+        Debt– Normal
Receipts          Direct taxes                    0.7      1.1           1.0           1.2            1.1            1.1            1.0       0.7       0.6
                  Import tariffs                  2.1      2.7           2.7           2.5            2.6            2.6            2.7       2.7       2.7
                  Other indirect taxes            4.9      6.9           6.0           7.8            6.7            6.5            6.1       4.5       3.7
                  Private transfers               1.7      2.9           2.9           2.7            2.7            2.9            2.9       3.0       3.0
                  Foreign transfers               0.4      0.4           0.3           0.5            0.3            0.4            0.7       0.4       0.6
                  Domestic borrowing              3.5      1.7           1.4           1.8            1.5            1.6            1.7       1.7       1.5
                  Foreign borrowing               2.8      0.9           0.7           1.0            0.8            0.8            1.9       0.8       1.7
                  Total                          16.1     16.6          15.0          17.5           15.6           15.8        16.9        13.9       13.7
Spending          Consumption                     5.7      5.2           4.7           5.5            4.9            5.0            5.2       5.1       4.9
                  Fixed investment                1.5      3.6           3.2           3.7            3.4            3.3            3.5       3.5       3.2
                  Private transfers               3.0      3.6           3.6           3.6            3.6            3.6            3.6       3.6       3.6
                  Commodity subsidies             1.8      0.5           0.5           0.5            0.5            0.5            0.5       0.5       0.5
                  Domestic interest payments      1.4      0.4           0.3           0.4            0.3            0.3            0.3       0.3       0.3
                  Foreign interest payments       2.7      3.4           2.6           3.8            2.9            3.1            3.8       0.8       1.2
                  Total                          16.1     16.6          15.0          17.5           15.6           15.8        16.9        13.9       13.7
158    COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      Table 0.8: Balance of Payments in 2012 and by Simulation in 2030 (% of Nominal GDP)
                                                                                                          Final year
      Indicator                                       2012    Base      Crop+         Rem–       Crop+rem–            TofT+      Aid+        Debt– Normal
      Outflows         Imports                        16.8    30.7          30.3       29.3             29.3           30.0          31.1     31.6     31.0
                       Factor income to RoW            1.1     2.8           2.7           3.1           2.9            2.7           2.8      2.8      2.6
                       Net interest income to RoW      2.8     3.6           2.8           4.0           3.1            3.2           4.0      1.0      1.3
                       Change in foreign reserves      0.9     0.9           0.7           1.1           0.8            0.9           0.9      0.9      0.8
                       Total                          21.5    38.1          36.6       37.5             36.1           36.8          38.8     36.4     35.8
      Inflows          Exports                         8.8    26.0          27.1       33.0             32.7           25.8          25.6     24.7     24.1
                       Private transfers from RoW      0.9     9.6           7.6           1.7           1.3            8.8           9.5      9.3      8.4
                       Official transfers from RoW     0.4     0.4           0.3           0.5           0.3            0.4           0.7      0.4      0.6
                       Private borrowing               4.6     0.1           0.1           0.2           0.1            0.1           0.1      0.1      0.1
                       Government borrowing            2.8     0.9           0.7           1.0           0.8            0.8           1.9      0.8      1.7
                       FDI                             3.9     1.1           0.8           1.2           0.9            1.0           1.1      1.0      0.9
                       Total                          21.5    38.1          36.6       37.5             36.1           36.8          38.8     36.4     35.8




      Table 0.9: Real GDP at Factor Cost in 2012 and Growth by Simulation (% Annual Growth)
                                              2012     Base      Crop+             Rem– Crop+rem– TofT+                       Aid+          Debt–    Normal
      Aggregate sectors
      Agriculture                              60.8     5.7           7.0            5.7          7.1           5.9            5.7           5.7       6.0
      Industry                                 47.4     1.9           2.5            1.3          2.0           2.2            2.0           2.2       2.5
       Mining                                  19.7    –3.4          –3.5           –3.4         –3.4          –3.4           –3.4          –3.4      –3.4
       Manufacturing                           15.9     4.3           5.1            3.6          4.5           4.6            4.4           4.6       5.0
       Other                                   11.9     3.5           4.2            2.8          3.6           3.9            3.7           3.9       4.3
      Services                                105.4     3.8           4.6            3.2          4.2           4.1            4.0           4.1       4.5
       Private                                 94.6     3.9           4.7            3.2          4.2           4.2            4.0           4.2       4.5
       Government                              10.8     3.7           4.0            3.3          3.7           3.8            3.7           3.8       4.0
      Disaggregated sectors
      Crop agriculture                         32.3     6.1           8.3            6.4          8.6           6.3            6.2           6.2       6.3
      Livestock agriculture                    28.6     5.1           5.1            4.9          4.7           5.4            5.2           5.2       5.5
      Gold                                      7.7    –2.3          –2.5           –2.3         –2.4          –2.4           –2.3          –2.3      –2.4
      Petroleum                                12.0    –4.2          –4.2           –4.2         –4.2          –4.2           –4.2          –4.2      –4.2
      Manufacturing                            15.9     4.3           5.1            3.6          4.5           4.6            4.4           4.6       5.0
      Construction                              8.5     3.7           4.3            2.9          3.7           4.1            3.8           4.0       4.5
      Electricity-water                         3.3     3.1           3.9            2.5          3.5           3.4            3.2           3.4       3.7
      Trade services                           56.5     3.9           4.7            3.3          4.3           4.1            4.0           4.2       4.5
      Transportation services                  20.9     3.8           4.7            3.0          4.1           4.1            3.9           4.1       4.5
      Government services                      10.8     3.7           4.0            3.3          3.7           3.8            3.7           3.8       4.0
      Other services                           17.2     3.9           4.9            3.1          4.3           4.3            4.1           4.3       4.8
      Total                                   213.6     4.1           5.0            3.7          4.8           4.3            4.2           4.3       4.6
                                                                                             Annexes         159




Table 0.10: Sector Structure in 2012 and by Simulation in 2013 (% of GDP)
                   EXP-shr      VA-shr      EMP-shr      IMP-shr    EXPOUT-shr           IMPDEM-shr
2012
Agriculture           15.6         28.5        63.6         16.9         3.7                    7.7
 Crop                 11.6         15.1        35.8         15.2         4.4                   10.8
 Livestock             4.1         13.4        27.8          1.7         2.6                    2.2
Industry              76.8         22.2         8.7         64.0         8.3                   14.5
 Mining               75.3          9.2         2.1          8.9        37.3                   11.9
  Gold                38.9          3.6         0.9                    100.0
  Petroleum           36.4          5.6         1.2          8.9        22.3                   11.9
 Manufacturing         1.5          7.4         3.6         54.1         0.3                   17.2
 Other                 0.0          5.6         3.0          1.0         0.0                    1.8
Services               7.5         49.3        27.7         19.1         1.0                    4.9
 Private               7.5         44.3        22.6         19.1         1.2                    5.5
 Government                         5.0         5.0
Total                100.0        100.0       100.0        100.0         4.8                    9.8

2030
Agriculture           75.2         38.9        73.0          3.3        38.9                    3.3
 Crop                 55.3         23.0        45.2          3.0        41.7                    4.6
 Livestock            19.9         15.8        27.8          0.3        32.7                    0.9
Industry              12.7         17.7         5.8         82.0         4.4                   27.9
 Mining               10.3          6.0         0.7         48.2        31.7                   72.2
  Gold                 5.3          1.5         0.3                    100.0
  Petroleum            5.0          4.5         0.3         48.2        18.4                   72.2
 Manufacturing         2.4          7.0         3.0         33.5         1.1                   18.4
 Other                 0.0          4.6         2.2          0.3         0.0                    1.2
Services              12.1         43.4        21.2         14.7         5.4                    7.7
 Private              12.1         38.9        17.3         14.7         6.2                    8.7
 Government                         4.5         3.9
Total                100.0        100.0       100.0        100.0        14.1                   17.5
Δ (2030–2012)
Agriculture           59.5         10.4         9.4        –13.6        35.1                   –4.4
 Crop                 43.8          7.9         9.4        –12.2        37.2                   –6.2
 Livestock            15.8          2.5         0.0         –1.4        30.1                   –1.4
Industry             –64.2         –4.5        –2.9         18.0        –3.9                   13.4
 Mining              –65.0         –3.2        –1.5         39.3        –5.5                   60.3
  Gold               –33.7         –2.1        –0.6
  Petroleum          –31.4         –1.1        –0.9         39.3        –3.9                   60.3
 Manufacturing         0.9         –0.4        –0.7        –20.6            0.8                 1.2
                                                                                  (continued on next page)
160    COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      Table 0.10: Sector Structure in 2012 and by Simulation in 2013 (% of GDP) (continued)
                              EXP-shr            VA-shr       EMP-shr         IMP-shr      EXPOUT-shr   IMPDEM-shr
       Other                       0.0              –0.9         –0.8            –0.6           0.0         –0.5
      Services                     4.6              –5.9         –6.5            –4.4           4.4          2.8
       Private                     4.6              –5.4         –5.4            –4.4           5.0          3.2
       Government                                   –0.5         –1.1
      Total                      0.0                0.0          0.0             0.0            9.3         7.7

      Notation             Share in
      EXP-shr              exports
      VA-shr               value added
      PRD-shr              production
      EMP-shr              employment
      IMP-shr              imports
      EXPOUT-shr           sector output to exports
      IMPDEM-shr           domestic demand from imports
                                                                                                                    Annexes          161




Annex 2: Determinants of Savings in                              youth dependency ratio fell from 82 percent of
Sudan                                                            working-age population in 2000 to 75 percent
                                                                 in 2012. The literature finds strong negative cor-
The main text showed that national savings in                    realtion between youth dependency ratio and
post-secession Sudan fell sharply and is low given               saving. In this period, however, Sudan’s private
its income level. Low savings further can translate              savings rate fell from 17.5 percent in 2000 to
into lower growth through lower investment. This                 10.1 in 2012. This inconsistency can be attrib-
annex provides a short analysis of the determinants              utable to Sudan’s high and unchanged youth
of savings from both macro and micro perspectives.               unemployment. Youth unemployment effectively
In doing so, the analysis uses estimates from World              adds burden of youth dependency. Sudan suf-
Bank (2013), which modified estimations by Loayza,               fers from particularly high youth unemploy-
Schmidt-Hebbel and Servén (2000) by incorporat-                  ment: new labor market entrants, those around
ing nonlinearity of macroeconomic stability. See                 20 years of age, face an unemployment rate of
Figure 0.3 for results.                                          around 24 percent. Comparison with the peer
     Sudan’s private savings behavior is mostly                  group countries shows that Sudan’s youth
attributable to three determinants: macroeconomic                unemployment rate is the second highest after
instability, income level, and youth dependency:                 Egypt. Consequently, even as the young-age
                                                                 population bulge came of age and entered the
i.	 Macroeconomic stability significantly affects                labor market, the effective youth dependency on
      Sudan’s private saving.94 The sharp decline in             income earners did not decline much.
      inflation in the late 1990s raised private sav-
      ing, whereas the skyrocketing inflation since              The increase in private savings in the early
      the secession of South Sudan lowered private          2000s was accompanied by an increase in public
      saving. The above analysis found a negative           savings. Before the advent of oil, public savings
      relationship between inflation and savings rate,      was in the range of 0 to 1 percent of GNDI. Public
      which suggests that skyrocketing inflation dis-       investment remained low and overall fiscal deficit
      courages households to save by depleting real         was improving from the poor macroeconomic per-
      value of household assets and purchasing power        formance in the early 1990s. Public savings started
      of household income. In such a case, households       to rise following a rise in public investment in the
      dis-save to fill in consumption gap or to save in     early 2000s. Because fiscal balance remained close to
      non-monetary form by increasing inventory of          zero until the mid-2000s, public savings was mostly
      goods or save in foreign currency.                    driven by public investment. Large fiscal deficit was
ii.	 The increase in income level since the advent          registered in 2009 when the global financial crisis
      of oil in the 2000s boosted Sudan’s private sav-      hit the Sudanese economy and in 2012 when Sudan
      ing. The literature suggests that households start    lost nearly 55 percent of its fiscal revenues after the
      to save when their income exceeds subsistence         secession of South Sudan. Public saving, in turn, is
      levels. The advent of oil accelerated economic        recently driven by large fiscal deficit given public
      growth in the 2000s, leading to increase in pri-      investment is declining.
      vate saving. Sudan’s per capita GDP stagnated
      in the 1980s and the 1990s but started to rise
      since the mid-1990s.                                  94
                                                              Balassa (1986) claims that stable and substantial level of domestic
                                                            savings can be achieved by keeping the real interest rate stable and
iii.	 The decline in youth dependency ratio, in gen-        sufficiently high. Alternatively, Balassa proposes that low and stable
      eral, contributes to rising private saving. Sudan’s   inflation, supported by a small budget deficit, encourages saving.
162                                     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      FIGURE 0.3: Savings Rates in Sudan, 1991–2013
                                                    1) Correlation between Inflation and Private                                                                                                 2) Correlation between Income and Private
                                                           Savings in Sudan (1992–2012)                                                                                                               Savings in Sudan (1992–2012)
                                           20                                                                                                                               30
      Private saving, percent of GDNI




                                                                                                                                         Private saving, percent of GDNI
                                           10                                                                                                                               20
                                                                                                                                                                            10
                                            0
                                                                                                                                                                              0
                                          –10
                                                                                                                                                                           –10
                                          –20
                                                                                                                                                                           –20
                                          –30                                                                                                                              –30
                                          –40                                                                                                                              –40
                                                0   20        40      60      80        100          120       140                                                            400                    500              600                 700                   800          900
                                                                   Inflation, percent                                                                                                                   GDP per capita (constant at 2005 US$)

                                                     3) Private Savings in Sudan (2000–2012)                                                                                                   4) Youth Unemployment: Sudan and its peer
                                           20                                                                                                                               50
                                           18
      Private saving, percent of GDNI




                                                                                                                                                                            45
                                           16                                                                                                                               40
                                           14                                                                                                                               35
                                           12
                                                                                                                                                                            30
                                                                                                                                         Percent




                                           10
                                                                                                                                                                            25
                                            8
                                            6                                                                                                                               20
                                            4                                                                                                                               15
                                            2                                                                                                                               10
                                            0                                                                                                                                5
                                             80     81        82      83      84        85           86         87
                                                                                                                                                                                    Tanzania

                                                                                                                                                                                                  Uganda

                                                                                                                                                                                                           Ethiopia

                                                                                                                                                                                                                      Kenya

                                                                                                                                                                                                                                Morocco

                                                                                                                                                                                                                                          Indonesia

                                                                                                                                                                                                                                                      Algeria

                                                                                                                                                                                                                                                                 Sudan

                                                                                                                                                                                                                                                                         Egypt
                                                         GDP per capita (constant at 2005 US$)

                                                                                                                                                                                               Average 90s                    Average 00s                 Average 10s

                                                                                                            5) Sudan’s Public Savings (1991–2013)
                                                                                        10
                                                                                         5
                                                                                         0
                                                                                        -5
                                                                                       –10
                                                                                       –15
                                                                                       –20
                                                                                       –25
                                                                                              1991
                                                                                                     1993
                                                                                                             1995
                                                                                                                    1997
                                                                                                                           1999
                                                                                                                                  2001
                                                                                                                                                          2003
                                                                                                                                                                           2005
                                                                                                                                                                                  2007
                                                                                                                                                                                           2009
                                                                                                                                                                                                    2011
                                                                                                                                                                                                           2013p




                                                                                              Public saving                 Overall fiscal balance                                                    Public investment

      Source: World Bank staff own calculations, based on data from World Bank World Development Indicators; and IMF World Economic Outlook.
      Note: (1) “p” denotes preliminary.
                                                                                                        Annexes       163




Annex 3: Timeline of U.S. Sanctions                          or petrochemical industries, including, but not
Against Sudan                                                limited to, oilfield services and oil or gas pipeline.
                                                             The President of the United States signs into law
1997, 3rd November – Executive Order 13067                   the Darfur Peace and Accountability Act of 2006
   (blocking Sudanese Government property and                (imposing sanctions against individuals respon-
   prohibiting transactions with Sudan) issued               sible for genocide, war crimes, and crimes against
2002, 21st October – OFAC added names of indi-               humanity, to support measures for the protec-
   viduals and firms to its specially designated             tion of civilians and humanitarian operations,
   nationals list including Sudanese Petroleum               and to support peace efforts in the Darfur region
   Corporation                                               of Sudan). The two pieces of law also provided
2004, 5th April – OFAC issued an interpretative rul-         relief to Southern Sudan and the Government of
   ing on publishing activities involving manuscripts        Southern Sudan as well as select areas of Sudan
   from sanctioned countries including Sudan                 including Southern Kordofan/ Nuba Mountains,
2004, 2 nd August – OFAC added Farmers                       Blue Nile State, Abyei, Darfur and marginalized
   Commercial Bank in the specially designated               areas in and around Khartoum (Specified Areas of
   nationals list for Sudan                                  Sudan) by exempting them from some of the pro-
2004, 16th December OFAC issued a general license            hibitions sets forth in the Executive Order 13067
   pertaining to certain publishing activities in Sudan   2006, 17 th November – OFAC issued an
2005, 29 th March United Nations Security                    Interpretative Guidance regarding the appli-
   Resolution 1591 of 2005 passed a resolution               cation of Executive Order 13412 to trans-
   obligating all United Nations members to sub-             shipments of goods and financial transactions
   ject to asset freeze and travel restrictions indi-        conducted through certain areas of Sudan
   viduals who are determined to have inter alia          2006, 3rd April – OFAC amended the Sudanese
   impeded the peace process, constituted a threat           Sanctions Regulations to permit the exportation
   to stability in Darfur and the region, commit vio-        or re-exportation, from the United States or by
   lations of international humanitarian or human            a U.S. person, of any goods or technology to a
   rights law or other atrocities                            third-country government, or to its contractors
2005, 13th June OFAC issued amendments to the                or agents, for shipment to Sudan via a diplo-
   Sudanese Sanctions Regulations to authorizes              matic pouch
   inter alia (a) the operation of accounts in U.S.       2007, 29th May – OFAC added names of indi-
   financial institutions under certain circum-              viduals and firms to its specially designated
   stances for individuals ordinarily resident in            nationals list pursuant to Executive Order
   Sudan; and (b) U.S. persons to process transfers          13400 of April 26, 2006 as contributing to the
   of funds constituting noncommercial, personal             conflict in the Darfur region. These include
   remittances to or from Sudan or for or on behalf          Sudan Telecommunications Company Limited
   of individuals ordinarily resident in Sudan               (SUDATEL), Sudan Gezira Board, Azza Air
2006, 26th April – Executive Order 13400 (block-             Transport Company Ltd and Giad Motor
   ing property of persons in connection with the            Industry Company Limited
   conflict in Sudan’s Darfur Region) issued              2007, 31st October – OFAC amended the Sudan
2006, 13th October – Executive Order 13412 block-            Sanctions Regulations to implement Executive
   ing property and prohibiting transactions with            Order 13412, provide interpretative sections in the
   the Government of including all transactions              Regulations and introduce general licenses which
   by U.S. persons relating to Sudan’s petroleum             expands the exemption relating to official business
164     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




         of the U.S. Government and the United Nations                transfer and transportation of human remains
         to include transactions and activities not only of           to or from Sudan
         employees but also of contractors and grantees of         2011, 13th October – OFAC issued general licenses
         the U.S. Government and United Nations or any of             authorizing the exportation or re-exportation
         the United Nation specialized agencies, programs,            food to individuals and entities in an area of
         and funds (including, e.g., the World Bank Group             Sudan other than the Specified Areas of Sudan
         and International Monetary Fund).                         2011, 8th December – OFAC issued general licenses
      2009, 10th June – OFAC amended the Sudan                        which inter alia authorizes related financial trans-
         Sanctions Regulations to expand the authoriza-               actions and the activities supporting transship-
         tion of select imports for diplomatic or official            ment—through Sudan to or from South Sudan—of
         personnel to include the provision of goods or               goods, technology, and services for South Sudan’s
         services in the United States to the diplomatic              petroleum and petrochemical industries
         missions of the Government of Sudan to the                2013, 15th April OFAC issued General License 1
         United States and the United Nations, and to                 permitting certain academic and professional
         the employees of such missions                               exchange activities between the United States
      2009, 9th September – OFAC issued a general license             and Sudan, which are otherwise prohibited by
         authorizing the exportation and re-exportation of            the Sudanese Sanctions Regulations including
         agricultural commodities, medicine, and medical              establishment and operation by U.S. academic
         devices to the Specified Areas of Sudan                      institutions of academic exchange programs
      2010, 10th March – OFAC issued a general license                with academic institutions in Sudan
         authorizing the exportation from the United               2014, 11th August – OFAC issued General License
         States or by U.S. persons of certain limited                 1A which modify the scope of authorization per-
         services and software related to the exchange                mitted on April 15, 2013 and expands the defi-
         of personal communications over the Internet                 nition of “U.S. academic institutions”, permits
      2010, 20th October – OFAC issued a statement                    such institutions to engage in activities involving
         on licensing policy that seeks to establish a                Sudanese nationals and authorizes U.S. financial
         favorable licensing regime through which                     institutions to process money transfers inci-
         U.S. persons can request from OFAC specific                  dental to participation of Sudanese nationals in
         authorization for the commercial exportation or              academic and professional exchange programs
         re-exportation of U.S.-origin agricultural equip-            organized by U.S. academic institutions.
         ment and services to an area of Sudan other than          2015, 18th February – In order to advance free flow
         the Specified Areas of Sudan                                 of information and to facilitate communica-
      2011, 12th April – OFAC issued an Interpretative                tions by the Sudanese people, OFAC issued an
         Guidance regarding the application of the                    amended general license pertaining to certain
         Sudanese sanctions regulations to the new state              software, hardware, and services incident to per-
         to be formed by the secession of Southern Sudan              sonal communications (essentially expanding
      2011, 17th June – OFAC issued a guidance clarifying             the scope of ICT devices, software and services
         that donations of food and medicine to non-Spec-             for personal communication that can be made
         ified Areas of Sudan, when intended to be used to            available in Sudan by U.S. persons).
         relieve human suffering, are exempt from the pro-
         hibitions of the Sudanese Sanctions Regulations           Source: World Bank staff own compilation, based
      2011, 12th October – OFAC issued general licenses               on data from the U.S. Office for Foreign Asset
         authorizing processing of consular funds                     Control (OFAC).
                                                                                                         Annexes   165




Annex 4: Additional Details on                         Measuring a country’s RER misalignment
RER Calculations and Theoretical
Considerations                                         The first step, measures an RER misalignment index
                                                       after controlling for the Balassa-Samuelson effect.
Examples of the theoretical relationship               The Balassa-Samuelson effect captures the effect of
between the real exchange rate and                     an economy’s productivity on its non-tradable goods’
exports                                                prices. In detail, this can be explained as follows:
                                                       usually it is observed that the prices of services (like
Two examples show the theoretical impact of RER        a haircut) are higher in developed countries than in
adjustments on exports:                                developing countries because wages are higher in
                                                       developed countries. But why are wages are higher in
 First, a reduction in domestic demand would         developed countries? It is because the tradable sector
   lower both the RER and the price of export. This    of developed countries has higher productivity than
   is because the reduced domestic demand would        that in developing countries. Given the law of one
   lower the prices of both the domestic non-trad-     price on tradable goods, this implies that wages paid
   able and tradable goods. Since the price of the     to tradable-sector workers in developed countries
   foreign tradable good does not change (much),       have to be higher to commensurate their high pro-
   this implies that the domestic tradable good        ductivity. In other words, low productivity explains
   would become relatively cheaper compared to         a large part why the tradable/non-tradable good
   the foreign tradable good. This in turn would       price ratio (i.e. the real exchange rate) in developing
   imply cheaper exports.                              countries is larger than that in developed countries.
        In addition, since both the prices of the      After the Balassa-Samuelson effect is captured, the
   non-tradable good and tradable good decline         remaining residual is considered the misaligned part.
   compared to the foreign goods, the relative price        The Balassa-Samuelson effect is captured as
   of the domestic consumption basket becomes          follows:
   lower, implying a depreciated RER. So there
   would be cheaper export and a depreciated RER.          si,t ∗ lnRERiW,t = βsi,t ∗ (lnyi,t – lnyW,t) + ui,t
 Second, consider a policy that would subsidize
   the production of domestic tradable goods. As           It is a weighted regression (to take into
   a result, production of the domestic tradable       account the fact that larger countries have heavier
   goods would expand and they would become            weights in the regression). A country’s pro-
   cheaper compared to the foreign tradable good,      ductivity is proxied by its output per capita.
   implying cheaper export. On the other hand,
   the unsubsidized domestic non-tradable goods                                       Yi ,t
                                                                            si ,t =
                                                                                      ∑
                                                                                          N
   would become relatively scarce and hence more                                                 Yj ,t
                                                                                          j =1
   expensive. The increase in the non-tradable
   goods’ prices could outweigh the decline of the     is the weight of country i at time t. Yi,t is country
   tradable goods’ prices, thus possibly making        i’ nominal output;. lnRERiW,t is the log of the real
   the price of the domestic consumption basket        exchange rate of country i relative to the world; lnyi,t,
   to go up compared to that of the foreign con-       lnyW,t are country i and world average output per
   sumption basket. The RER would appreciate.          capita at time t. Coefficient β captures the Balassa-
   So the subsidy makes export cheaper, but the        Samuelson effect with an expected negative sign. The
   RER appreciates.                                    idea is that according to the Balassa-Samuelson effect,
166      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      a country’s RER, at any given time, is larger if its out-     is larger, beyond the explanation of the Balassa-
      put per capita (a proxy for productivity) is smaller          Samuelson effect.
      compared to the world’s output. This is slightly dif-
      ferent to Rodrik’s approach, in the sense that he only        Measuring the impact of undervalued RERs
      regresses a country’s RER with its absolute output per        on export and output growth
      capita. Since RER is a relative concept, the decision         To examine econometrically the relationship
      was made to add the world average output to the               between a country’s RER undervaluation with its
      right hand side of the equation to generate output            export and output growth using international data
      differential, which is a relative concept as well.            the following regression is used:
           Notice that there is no constant in the regression                                      
                                                                                                   u
      and no time and country fixed effects. The regres-                     growthratei ,t = α + γ i ,t + ft + fi + ε i ,t
                                                                                                    si ,t
      sion is designed that the sum of the right hand side
      exactly equals the sum of the left hand side every            where growth rate is calculated for both real exports
      period (i.e. sum of ui,t equals 0 for all t). What it         and real GDP, u    s is the undervaluation measure,
                                                                                      i ,t i ,t
      means is that at any given time, on average, the              and ft, fi are country and time fixed effects. The time
      world RER is exactly aligned.                                 fixed effects is to control for global macroeconomic
           The results show that Balassa-Samuel effect is           factors that affect all countries’ export in the same
      highly significant with a negative sign. It shows that        way at a given time. The country fixed effects is to
      for each additional 1 percent output differential,            control for country’s time-invariant characteristics.
      Balassa Samuelson effect on average explains 0.317            Essentially, with the country fixed effects, the follow-
      percent of RER appreciation. What this means is that          ing question is asked: how does a real export growth
      for each 1 percent output differential, the produc-           change within a country, given its RER undervalua-
      tivity differential accounts for 0.317 percent of the         tion index relative to the rest of the world? The ini-
      RER differential between countries.                           tial value of export and output levels are controlled.
             s will be the RER misalignment vari-
            u                                                       The expected sign of γ is positive: it implies that a
             i ,t i ,t
      able of country i where u     is the residual of the         more undervalued exchange rate (a larger u      s ) is
                                    i ,t                                                                            i ,t i ,t
      regression. A positive ui,t implies an undervalued            associated with higher export and output growth.
      RER. That is, the RER is larger beyond the expla-                  Two results are derived and shown in Tables
      nation of the Balassa-Samuelson effect. In other              0.12 and 0.13. Simple descriptions of the results
      words, the tradable/non-tradable good price ratio             are in the main text.


      Table 0.11: Panel Estimation Effect on Exports Growth of Undervaluation
                                                                                  First-Stage
                                                                              Balassa-Samuelson
       Weighted relative GDP growth                                                   –0.317
                                                                                   ***(0.0117)
       Time Fixed Effect                                                               no
       Country Fixed Effect                                                            no
       Observations                                                                   8,184
       R-squared                                                                      0.804
      Notes: Robust standard errors in parentheses.
      *** p<0.01, ** p<0.05, * p<0.1
                                                                                                                                     Annexes      167




Table 0.12: Undervalued RERs and Export Growth
                                                                                  Second-Stage
                             All Countries                        High Income                                      Low Income
                            ∆ln(real exports)                    ∆ln(real exports)                               ∆ln(real exports)
                              Full Sample        Full Sample 1950–1980               1981–2011     Full Sample 1950–1980          1981–2011
                                   (1)                (2)       (3)                     (4)             (5)       (6)                (7)
 ln(Initial Real Exports)       –0.0999***         –0.0847***        –0.137***         –0.127***    –0.127***        –0.388***       –0.128***
                                (0.0225)           (0.0151)          (0.0233)          (0.0187)     (0.0437)         (0.0631)        (0.0250)
 Undervaluation                   0.0598***          0.0811***         0.126***         0.0497       0.0502**        –0.0375          0.0699***
                                 (0.0131)           (0.0188)          (0.0379)         (0.0336)     (0.0211)         (0.0708)        (0.0258)
 Constant                         0.778***           0.547***          1.163***         1.199***     0.771***          2.431***       0.934***
                                 (0.148)            (0.104)           (0.174)          (0.168)      (0.273)           (0.401)        (0.173)
 Time Fixed Effect                 yes                yes               yes              yes           yes              yes            yes
 Country Fixed Effect              yes                yes               yes              yes           yes              yes            yes
 Observations                     7,139              3,561             1,444             2,117        3,578            1,305           2,273
 R-squared                       0.139              0.159             0.157             0.209        0.148            0.334           0.159
 Number of country id              156                 75               63                75           81               63              81
Notes: Robust standard errors in parentheses.
*** p<0.01, ** p<0.05, * p<0.1
Low Income countries: if the real GDP per capita was below US$6,000/year in 2000.




Table 0.13: Undervalued RERs and Output Growth
                                                                                  Second-Stage
                             All Countries                        High Income                                      Low Income
                            ∆ln(real exports)                    ∆ln(real exports)                               ∆ln(real exports)
                              Full Sample        Full Sample 1950–1980               1981–2011     Full Sample 1950–1980          1981–2011
                                   (1)                (2)       (3)                     (4)             (5)       (6)                (7)
 ln(Initial Real Exports)       –0.0916***          –0.141***        –0.215**          –0.294**     –0.0830***       –0.182***       –0.135***
                                (0.0204)            (0.0450)         (0.0983)          (0.114)      (0.0128)         (0.0372)        (0.0171)
 Undervaluation                  0.0884***           0.138***          0.195***         0.183**      0.0764***         0.121***       0.114***
                                (0.0204)            (0.0496)          (0.0731)         (0.0828)     (0.0123)          (0.0248)       (0.0184)
 Constant                        0.743***            1.205***          1.984**          2.722**      0.601***          1.322***       1.042***
                                (0.156)             (0.370)           (0.924)          (1.059)      (0.0925)          (0.267)        (0.132)
 Time Fixed Effect                 yes                yes               yes              yes           yes              yes            yes
 Country Fixed Effect              yes                yes               yes              yes           yes              yes            yes
 Observations                     8,020              3,925             1,570             2,355        4,095            1,579           2,516
 R-squared                       0.140               0.219            0.295             0.297        0.129            0.182           0.175
 Number of country id              165                 80               68                80           85               73              85
Notes: Robust standard errors in parentheses.
*** p<0.01, ** p<0.05, * p<0.1
Low Income countries: if the real GDP per capita was below US$6,000/year in 2000.
168     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      Annex 5: Financial Soundness Indicators for the Banking Sector, 2006–13
                                                              Dec    Dec    Dec    Dec    Dec    Dec    Dec     Mar     Jun
                                                              2006   2007   2008   2009   2010   2011   2012    2013   2013
       Capital Adequacy
       Regulatory capital to risk-weighted assets 1/          19.7   22.0   10.5    7.1   10.0   13.0   12.0     —     14.9
       Regulatory Tier I capital to risk-weighted assets 1/   17.4   20.0    8.7    6.1    8.9   11.0    10.5    —     13.6
       Asset composition and quality
       Loans to nongovernment to total assets                 46.3   50.7   51.1   52.3   51.8    —      —       —      —
       Gross NPLs to gross loans                              19.4   26.0   22.4   20.5   14.4   12.6    11.8   11.3   10.4
       NPLs net of provisions to gross loans                  17.0   22.0   17.9   17.9   10.4    7.6     7.5    7.5    5.8
       NPLs net of provisions to capital                      63.7   85.0   71.0   74.8   43.7   33.3    33.5   30.5   25.5
       Loans provisions to NPLs                               14.0   15.0   20.0   23.9   31.7   39.8    36.5   33.3   43.7
       Foreign currency loans to total loans                  26.0   13.2   15.8   20.4   13.7    9.0    15.7   13.2   11.8
       Deposits and investment accounts to total assets       60.0   55.5   57.4   63.2   63.9   63.5    63.4   64.5   65.1
       Foreign currency deposits to total deposits            22.0   21.4   21.2   19.2   22.0   18.7    27.0   26.9   24.9
       Off-balance sheet commitments to assets                33.0   32.5   34.4   28.0   31.5   29.8    32.2   29.9   28.9
       Earnings and Profitability
       ROA (before tax)                                        3.6    3.7    3.0    3.8    3.9    4.2     4.4    1.0    1.3
       ROE (before tax)                                       35.4   26.5   23.3   25.5   26.5   27.8    36.4    7.6   10.0
       Liquidity
       BOS deposits to total assets                            8.0    8.6    9.1   12.7   10.8   13.1    17.5   17.3   18.1
       Required reserves to total assets                       4.0    3.0    2.9    2.1    3.2    3.5     5.5    5.6    5.6
       Required reserves to total reserves                    39.0   34.8   26.0   14.5   25.5   23.9    28.6   28.9   28.0
       Cash in vault to total assets                           1.0    2.5    2.2    2.0    1.9    2.1     2.0    2.6    2.6
       Liquid assets to total assets                          25.0   25.6   28.0   34.2   35.3   36.3    41.7   39.6   39.8
       Liquid assets to total short-term liabilities          75.0   75.0   85.0   97.0   98.2   93.8   102.5   96.3   96.7
      Source: Central Bank of Sudan.
                                                                                                                                          Annexes       169




Annex 6: Additional Information for
Export Performance Analysis

Tables and figures


            Change in Sudan’s Shares of Exports, Main Export Products at HS-6 Level, 2007–2012
Table 0.14: 
                                                         (1)           (2)       (3)              (4)               (5)           (6)
                                                     Exports 2007    Share      RCA           Exports 2012        Share          RCA        (7)
 Product Product Description                          (US$ ‘000)    2007 (%)    2007           (US$ ‘000)        2012 (%)        2012      CAGR
 710812                 Gold, non–monetary              197,391       2.32%       6.62           2,167,423         41.85%         40.11     61.48
 10410                  Sheep                            61,456       0.72%     102.67            333,084          6.43%         770.21     40.22
 120740                 Sesame seeds                     99,042       1.16%     163.84            147,845          2.85%         215.50      8.34
 130120                 Gum arabic                       78,194       0.92%     486.43             92,291          1.78%         870.24      3.37
 271000                 Refined oil                      63,746       0.75%       0.18             56,673          1.09%           0.19     –2.32
 170111                 Raw sugar not containing         19,550       0.23%       4.42             37,179          0.72%           6.86     13.72
                        added flavor
 854810                 Waste and scrap of primary            608     0.01%       0.89             36,258          0.70%         130.24    126.55
                        cells
 740400                 Copper waste and scrap           12,478       0.15%       1.00             26,070          0.50%           3.27     15.88
 220710                 Undenatured ethyl alcohol              0      0.00%       0.00             23,328          0.45%          10.09      n/a
 20421                  Other meat of sheep, fresh        5,134       0.06%      64.10             22,154          0.43%         252.30     33.97
                        or chilled
                        Other (Total exports minus      254,466       2.99%       0.03            180,812          3.49%           0.04     –6.61
                        top 11 export products)
Source: World Bank staff own calculations, based on data from UN Comtrade.




Table 0.15: Joint Distribution of Sudan’s Exporters Across Products and Destinations
                                                       Panel A. Distribution of Exporters in 2008
                                                                      Number of destinations per firm
                                             1            2             3          4 to 10            11 to 20      20 or more             Total
                        1                  52%            8%           3%                2%              0%                 0%              65%
                        2                    5%           7%           2%                2%              0%                 0%              15%
   Number of products




                        3                    1%           2%           3%                2%              0%                 0%               8%
       per firm




                        4 to 10              1%           2%           2%                5%              0%                 0%              11%
                        11 to 20             0%           0%           0%                0%              0%                 0%               1%
                        20 or more           0%           0%           0%                0%              0%                 0%               0%
                        Total              59%           19%          10%            10%                 1%                 0%              100%
                                                                                                                             (continued on next page)
170      COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      Table 0.15: Joint Distribution of Sudan’s Exporters Across Products and Destinations (continued)
                                                 Panel B. Distribution of Total Merchandise Exports in 2008
                                                                         Number of destinations per firm
                                           1                2              3            4 to 10          11 to 20    20 or more   Total
                              1            28%              6%             4%               7%               8%         0%         54%
                              2            2%               1%             1%               3%               0%         0%          7%
         Number of products




                              3            0%               2%             4%               4%               2%         0%         12%
             per firm




                              4 to 10      0%               2%             3%              17%               3%         0%         25%
                              11 to 20     0%               0%             0%               0%               2%         0%          2%
                              20 or more   0%               0%            0%                0%               0%         0%          0%
                              Total        31%             11%           11%               32%              15%         0%        100%

                                                         Panel C. Distribution of Exporters in 2012
                                                                         Number of destinations per firm
                                           1                2              3            4 to 10          11 to 20    20 or more   Total
                              1            36%             11%             3%               2%              0%          0%         52%
                              2            6%               9%             3%               2%              0%          0%         20%
         Number of products




                              3            1%               3%             3%               3%              0%          0%         10%
             per firm




                              4 to 10      1%               2%             2%               9%              1%          0%         15%
                              11 to 20     0%               0%             0%               1%              1%          0%          2%
                              20 or more   0%               0%            0%                0%              0%          0%          1%
                              Total        44%             25%           11%              17%               2%          0%        100%

                                                 Panel D. Distribution of Total Merchandise Exports in 2012
                                                                         Number of destinations per firm
                                           1                2              3            4 to 10          11 to 20    20 or more   Total
                              1            3%              66%            1%                2%              0%          0%         71%
                              2            0%               3%            0%                1%              0%          0%          5%
         Number of products




                              3            0%               1%            1%                2%              1%          0%          5%
             per firm




                              4 to 10      0%               0%            1%              13%               1%          0%         15%
                              11 to 20     0%               0%            0%                2%              0%          0%          2%
                              20 or more   0%               0%            0%                0%              1%          0%          1%
                              Total        4%              70%            3%              19%               3%          0%        100%
      Source: World Bank staff own calculations, based on data used for the World Bank Exporter Dynamics Database.
                                                                                                              Annexes   171




Product Space Concepts                                     basket, and it is calculated as a weighted average of
                                                           PRODYs of the products exported by the country,
Revealed Comparative Advantage (RCA):                      where the weights are the shares of the products in
RCA for a product i in country j is calculated fol-        the country’s export basket:
lowing Balassa (1977), as the ratio of the share of
                                                                                    x ji        
product i in total exports of country j, to the share                  EXPYj = ∑ i               ∗ PRODYi
of world exports of product i in total world exports                                Xj          
                                                                                                
                                   x ji
                                                           Product and Economic Complexity:
                                          Xj
                RCA ji =                                   Complexity of a product is a function of the capa-
                           ∑ j x ji                        bilities it requires, while the complexity of a country
                                          ∑j Xj            is given by the number of locally available capabili-
                                                           ties. To provide a numerical measure of product
Country j will be competitive in exporting good i
                                                           and economic complexity, Hidalgo and Hausmann
if RCAji>1, which means that the share of product
                                                           (2009) first define Diversification of a country as
i in country j exports will be higher than the share
                                                           the number of products that a country exports with
of the same good worldwide.
                                                           RCA>1, and Ubiquity of the product as the number
                                                           of countries that export the product with RCA>1:
PRODY:
                                                                               Ni
To capture the income earning potential of any
                                                                        k j,0 = ∑ M ji ( Diversification )
particular product and sophistication of products,
                                                                               i =1
Hausmann et al. (2007) introduce concepts of
                                                                                       Nj
PRODY and EXPY. Income-earning potential of a
                                                                           k i,0 = ∑ M ji (Ubiquity )
product, PRODY, is calculated as a weighted aver-                                     i =1
age of the income per capita of the countries that
                                                           where i denotes a product, j denotes a country, and
export the given product. Weights are ratios of the
                                                           Mji=1 if a country j exports product i with RCA>1.
share of the commodity i in the countries overall
                                                           Using a method of iterations, authors compute rela-
export baskets and aggregated value-shares across
                                                           tive positions of each country and product, com-
all countries exporting the good:
                                                           pared to other countries and products.
                            x ji                               The method of iterations calculates iteratively the
                                   Xj                      average value of the measure computed in the preced-
        PRODYi = ∑                             ∗ GDPPC j   ing iteration, starting with a measure of a country’s
                    j       x   
                        ∑ j  ji                          diversification and a product’s ubiquity. Each suc-
                             Xj                          ceeding iteration takes into account the information
The denominator in the RCA equation is not the             from the previous iteration. These are given by:
same as the denominator in the PRODY weights. In                                         1 i
                                                                                             N

RCA, denominator is the share of product j in world                         k j ,n =          ∑M k
                                                                                        k j,0 i=1 ji i,n−1
trade, while in the PRODY computation, denomi-
nator is a sum of product i shares across countries.                                         N
                                                                                        1 j
                                                                            ki,n =          ∑M k
                                                                                       ki,0 j=1 ji j,n−1
EXPY:
Sophistication of country exports, EXPY, represents        where n corresponds to a number of iterations.
the income level associated with a country’s export        Last two equations are computed until rankings
172     COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      of countries and products stop changing between              Open Forest:
      iterations. In this paper, we used kj,16 to measure          Measures of density can be used to obtain an overall
      economic complexity, and ki,17 to measure product            measure of the location of the country in the product
      complexity.                                                  space, and this indicator would measure the con-
                                                                   nectedness of existing export basket to the rest of
      Proximities of Products:                                     the product space. Open forest provides a measure
      To measure the inter-relatedness of different prod-          of the (expected) value of the goods that a coun-
      ucts, Hausmann et al. (2007) compute a probability           try could potentially export (among the products
      that a country exports one product with a Revealed           that it currently does not export with comparative
      Comparative Advantage (RCA)>1 given that it exports          advantage).
      some other product with an RCA>1. Thus, two prod-                Open forest is calculated as the weighted aver-
      ucts will be close to each other, and require similar        age of the PRODY’s of all potential (currently non-
      capabilities, if countries which export product i tend       exported) exports of a country, where the weights
      to also export product j with RCA>1, and vice versa:         are country densities in these products. Therefore,
                                                                   the value of “open forest” depends on country’s ease
      ϕij = min (P(RCAi>1 | RCAj>1), P(RCAj>1 | RCAi>1))           of diversification into unexported products—and
                                                                   a country that exports products in the core of the
      which provides “proximity” as a numerical measure            product space will have higher densities for unex-
      of relatedness of products i and j.                          ported products, and thus higher value of the open
                                                                   forest:
      Country Densities in Products:
      Probability of a country being able to export prod-              open_forestj =∑idensityji ∗ (1 – xji) ∗ PRODYi
      uct i with RCA>1 is measured as a weighted sum
      of proximities of product i and all other products           where xi = 0 for products i with RCAi<1, and xi = 1
      in country’s export basket that are exported with            otherwise.
      RCA>1. Hence, if a country exports large numbers
      of goods which are close (high proximity) to product         Strategic Value of Unexported Products:
      i, there is a large probability that the country will be     The strategic value of every good that is not cur-
      able to be competitive in exports of i. Probability w        rently exported with comparative advantage can
      of exporting product i by a country j is measured            be measured using open forest. This is done by
      by density of product i:                                     calculating what would happen to open forest if a
                                                                   country started exporting that good with compara-
                                ∑ i RCAiϕ ij                       tive advantage. If a product is closely connected to
                         wi =
                                  ∑ i ϕ ij                         a wide range of other valuable products not cur-
                                                                   rently exported, it would result in a large increase
      Note: the density w of product i in country j can            in open forest, and therefore have high strategic
      be interpreted as the “ease” of diversification into         value because it would greatly expand the country’s
      product i.                                                   options for successful diversification.
                                                                                                               Annexes         173




Table 0.16: Sudan Exports in Product Space Framework, 1991–2011
                                                                                                  Exports Exports
                                                                                    RCA     RCA   1991–93 2009–11
SITC2                                                                   Trade     1991–93 2009–11    avg     avg
Code       Product                  Tech Density   Path     Complexity Volatility   avg     avg    (‘000)  (‘000)
Classics
9710       Gold, non-monetary        ST    0.08     84.05      742       1.68      1.79      7.78      3,545       742,469
2225       Sesame seeds              PP    0.10     71.38      765       2.35    661.78    108.77     23,885       163,489
12         Live sheep and goat       PP    0.06     96.82      658       2.34    345.85    109.14     41,563       105,314
2922       Natural gums, resins,     PP    0.08     92.14      763       1.99   1,747.19   148.36     55,018        81,947
           lacs and balsams
2631       Raw cotton                PP    0.09     75.97      768       2.64    150.93      3.78    114,222        37,081
2924       Flora in pharmacy         PP    0.07    100.84      744       0.83     49.89     11.61      6,411        19,156
112        Sheep and goat meat       PP    0.05     90.38      701       0.70      8.91      3.84      1,970        16,823
2879       Other non-ferrous        RB2    0.07     95.32      736       3.76      2.89      1.44        444        14,874
           base metals
611        Raw sugar beet and       RB1    0.06     85.64      752       1.68      1.68      1.22        722        12,434
           cane
548        Fresh and dried           PP    0.08     88.94      734       1.54     66.45      5.30     13,785        12,088
           vegetables, roots and
           tubers n.e.s.
6115       Sheep and lamb           LT1    0.08    107.39      757       1.83      8.09      5.98        944         6,625
           leather
459        Unmilled buckwheat,       PP    0.05    103.06      696       2.49    190.08      2.88     27,161         5,709
           millet and other cere-
           als n.e.s.
615        Molasses                 RB1    0.06    113.38      720       1.62    176.58      6.45     11,228         5,063
6116       Leather of other hides   LT1    0.08    104.65      751       1.51      3.29      1.83        407         3,133
           or skins
9410       Live animals, n.e.s.      ST    0.07     96.93      708       1.33     20.45      3.95        640         3,068
           (zoo animals, pets,
           insects, etc)
812        Bran, sharps and other    PP    0.06    116.73      709       1.75      5.28      1.62        256         1,767
           cereal residues
2238       Oil seeds and fruits      PP    0.06    118.10      699       1.44      3.41      1.91         91         1,573
           n.e.s.
2112       Raw calf skins            PP    0.06    125.72      653       2.93     16.66      3.99        640         1,355
2117       Raw sheep skin with       PP    0.09     82.99      766       2.17     48.71      5.22      2,623         1,022
           wool
2119       Hides and skins n.e.s.    PP    0.07    111.50      721       1.80     30.87      1.47        549           620
2911       Bones, horns, corals      PP    0.06    104.01      711       0.89     21.75      1.71        987           516
           and ivory
Emerging Champions
3330       Crude petroleum           PP    0.10     45.42      762       2.47      0.00      9.32          0     9,307,506
2472       Sawlogs and veneer       RB1    0.07     90.37      724       1.53      0.00      1.57          0         8,991
           logs of non-coniferous
                                                                                                    (continued on next page)
174    COUNTRY ECONOMIC MEMORANDUM – REALIZING THE POTENTIAL FOR DIVERSIFIED DEVELOPMENT




      Table 0.16: Sudan Exports in Product Space Framework, 1991–2011(continued)
                                                                                                     Exports Exports
                                                                                       RCA     RCA   1991–93 2009–11
      SITC2                                                                Trade     1991–93 2009–11    avg     avg
      Code     Product                 Tech Density   Path     Complexity Volatility   avg     avg    (‘000)  (‘000)
      Disappearances
      2882     Other non-ferrous       RB2    0.04    122.64      568       2.80      1.26    0.57        713        19,711
               base metals
      811      Green or dry hay         PP    0.04    101.98      542       1.09      1.38    0.99        189         2,068
      4236     Sunflower seed oil      RB1    0.03    135.23      580       2.01      1.00    0.19        120         1,261
      579      Fresh or dried fruit     PP    0.06    110.79      712       0.75      4.69    0.06      3,441         1,229
               n.e.s.
      6851     Unwrought lead and       PP    0.05    126.35      659       2.43      3.20    0.19        295           800
               alloys
      2111     Raw bovine and           PP    0.05    139.02      574       1.74      8.09    0.18      2,551           654
               equine hides
      2221     Green groundnuts         PP    0.05     91.71      761       1.41     30.93    0.37      3,153           572
      2925     Planting seeds and       PP    0.03    128.98      555       0.74      5.39    0.14        964           567
               spores
      542      Dried or shelled         PP    0.07     97.74      754       0.91      2.27    0.08        575           504
               legumes
      2929     Vegetable origin         PP    0.04    126.87      535       1.04      3.88    0.13        781           406
               materials
      8741     Non-electrical          HT2    0.02    103.37      145       0.69      1.02    0.03        472           389
               navigating devices,
               compasses
      2116     Raw sheep skin with-     PP    0.06    117.04      660       3.35     84.37    0.68      2,669           247
               out wool
      440      Unmilled maize           PP    0.03    115.37      650       1.87      2.76    0.01      2,444           201
      813      Oilcake                  PP    0.04    105.80      666       1.64      9.00    0.01      7,235           153
      4239     Other soft vegetable    RB1    0.02    138.00      264       2.46      6.58    0.03        742           135
               oils
      752      Spices other than        PP    0.06    112.62      704       0.93      1.66    0.04        172            93
               pepper
      7233     Road rollers            MT3    0.03    109.32      534       1.74      1.15    0.04         65            50
      2731     Building stone           PP    0.05    117.11      694       0.98      1.45    0.01        213            28
      572      Fresh or dried citrus    PP    0.04    114.79      615       1.15      1.24    0.01        165            22
               n.e.s
      6582     Textile camping goods   LT1    0.03    109.52      634       1.03      1.02    0.00         88             6
      7439     Centrifuges machinery   MT3    0.01    155.53       43       0.93      1.40    0.00        476             3
               parts n.e.s.
      2732     Gypsum, plasters,        PP    0.04    134.76      641       1.05      3.35    0.00        208             0
               limestone flux and
               calcareous stone
      2224     Sunflower seeds          PP    0.02    124.70      503       2.30     15.18    0.00      1,260             0
      4234     Peanut oil              RB1    0.02     69.72      629       1.91    235.96    0.00      7,120             0
                                                                                                     (continued on next page)
                                                                                                                Annexes       175




Table 0.16: Sudan Exports in Product Space Framework, 1991–2011(continued)
                                                                                                       Exports Exports
                                                                                         RCA     RCA   1991–93 2009–11
SITC2                                                                        Trade     1991–93 2009–11    avg     avg
Code       Product                 Tech Density         Path     Complexity Volatility   avg     avg    (‘000)  (‘000)
612        Refined sugar           RB1        0.04     140.95         594        2.20     6.95   0.00   1,702             0
2634       Cotton                   PP        0.06     112.03         750        2.36    10.30   0.00     40              0
2114       Raw goat skins           PP        0.02      45.82         405        4.41   317.08   0.00   1,904             0
6513       Cotton yarn              LT1       0.05     105.02         730        1.18     2.67   0.00   1,476             0
2632       Cotton linters           PP        0.05      75.93         759        2.62    79.80   0.00   1,189             0
2633       Cotton waste             PP        0.05      99.87         741        2.11    16.59   0.00    476              0
2232       Palm nuts and kernels    PP        0.02      31.30         644        4.07   112.24   0.00    221              0
6113       Calf leather             LT1       0.01      35.02         591        6.87     2.93   0.00    185              0
751        Pepper                   PP        0.04     103.87         714        1.48     1.93   0.00    118              0
576        Figs                     PP        0.03      70.69         551        0.72     1.30   0.00     17              0
2640       Raw processed jute      RB1        0.05      38.64         764        2.14     1.17   0.00     12              0
           and other fibres
Marginals with large export value in 2009–11 (>$1 million avg)
2820       Iron and steel waste    RB2        0.04     111.39         490        2.65     0.18   0.77    147        27,854
5121       Acyclic alcohols and    MT2        0.04     101.61         643        2.03     0.00   0.38      0        14,387
           derivatives
3354       Petroleum bitumen       RB2        0.03     130.33         485        1.74     0.00   0.89      0        14,272
           n.e.s.
3413       Liquified hydrocar-      PP        0.06      56.06         740        2.16     0.00   0.06      0         7,638
           bons
7781       Batteries               HT1        0.02     137.97         243        1.02     0.03   0.23     18         7,246
1223       Tobacco, extract, es-   RB1        0.03     140.18         546        0.66     0.01   0.90      1         2,641
           sences and manufac-
           tures
11         Live bovines             PP        0.04     141.36         474        1.06     0.00   0.44      0         2,158
573        Fresh or dried banana    PP        0.06      62.71         767        0.68     0.02   0.19      9         2,058
           and plantains
6114       Bovine and equine        LT1       0.05     127.40         664        1.24     0.26   0.15    147         1,637
           leather
7649       Parts of telecom and    HT1        0.01     107.31         170        1.20     0.08   0.01    254         1,614
           sound recording
           equipment
6821       Unwrought copper         PP        0.04     103.41         685        2.57     0.00   0.02      0         1,296
           and copper alloys
4242       Palm oil                RB1        0.04      58.95         729        2.19     0.00   0.04      0         1,263
6353       Builders` carpentry     RB1        0.02     163.48         366        1.12     0.11   0.08     52         1,250
           and joinery
7929       Aircraft equipment      HT2        0.01     103.47         135        0.98     0.44   0.02    993         1,155
           parts n.e.s.
6415       Paper and paperboad     RB1        0.02     162.94         163        1.26     0.00   0.05      1         1,136
           in rolls or sheets
Marginals with large drop in export value (>$1 million avg exports in 1991–93)
111        Bovine meat              PP        0.03     131.27         530        0.87     0.91   0.01   1,416         315
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