REPUBLIC OF CONGO
COUNTRY ECONOMIC MEMORANDUM
MARCH 2023




REPUBLIC OF
CONGO’S ROAD
TO PROSPERITY
Building Foundations for
Economic Diversification
REPUBLIC OF CONGO
COUNTRY ECONOMIC MEMORANDUM
MARCH 2023




REPUBLIC OF
CONGO’S ROAD
TO PROSPERITY
Building Foundations for
Economic Diversification
© 2023 International Bank for Reconstruction and Development / The World Bank
Some rights reserved.


This work is a product of the staff of The World Bank with external contributions. The findings,
interpretations, and conclusions expressed in this work do not necessarily reflect the views
of The World Bank, its Board of Executive Directors, or the governments they represent. The
World Bank does not guarantee the accuracy of the data included in this work. The boundaries,
colors, denominations, and other information shown on any map in this work do not imply any
judgment on the part of The World Bank concerning the legal status of any territory or the
endorsement or acceptance of such boundaries.


Nothing herein shall constitute or be considered to be a limitation upon or waiver of the
privileges and immunities of The World Bank, all of which are specifically reserved.


Rights and permissions

This work is available under the Creative Commons Attribution 3.0 IGO license (CC BY 3.0 IGO)
http://creativecommons.org/licenses/by/3.0/igo. Under the Creative Commons Attribution
license, you are free to copy, distribute, transmit, and adapt this work, including for commercial
purposes, under the following conditions:


Attribution: Please cite the work as follows: World Bank (2023) ‘Republic of Congo’s Road to
Prosperity: Building Foundations for Economic Diversification’, Republic of Congo Country
Economic Memorandum, Washington, DC: The World Bank.


Third-party content: The World Bank does not necessarily own each component of the content
contained within the work. The World Bank therefore does not warrant that the use of any
third-party-owned individual component or part contained in the work will not infringe on the
rights of those third parties. The risk of claims resulting from such infringement rests solely
with you. If you wish to re-use a component of the work, it is your responsibility to determine
whether permission is needed for that re-use and to obtain permission from the copyright
owner. Examples of components can include, but are not limited to, tables, figures, or images.


All queries on rights and licenses should be addressed to World Bank Publications, The World
Bank, 1818 H Street NW, Washington, DC 20433, USA; e-mail: pubrights@worldbank.org.
REPUBLIC OF CONGO
COUNTRY ECONOMIC MEMORANDUM
MARCH 2023




REPUBLIC OF
CONGO’S ROAD
TO PROSPERITY
Building Foundations for
Economic Diversification
Acknowledgements
The Republic of Congo Country Economic Memorandum (CEM) was prepared between January
and June 2022 by a team led by Vincent Tsoungui Belinga (Senior Economist) and Jose Luis Diaz
Sanchez (Senior Economist) under the overall guidance of Abdoulaye Seck (Country Director),
Korotoumou Ouattara (Resident Representative), Francisco Carneiro (Practice Manager),
Raju Singh (Lead Economist), and Clelia Rontoyanni (Program leader). Other members of the
team include: Samia Melhem (Lead Digital Development Specialist), Alberto Portugal (Senior
Economist), Olivier Hartmann (Senior Private Sector Specialist), Daniel Camos Daurella (Senior
Energy Specialist), Steven Clarke (Energy Specialist), Besart Avdiu (Economist), Marilyne Youbi
(Economist), Joana Monteiro Da Mota (Extended Term Consultant), Paul Viet-Minh Nguyen
(Digital Development Specialist), Mamadou Tanou Balde (Consultant), Dukken Gaphi Ossouna
(Consultant) Delgermaa Enkhtsogt (Consultant), Laurent Andiazabal (Consultant), Adam
Winship (Consultant), Goncalo Coelho (Consultant), Amevi Rocard Kouwoaye (Consultant) and
Yuri Horowitz (Consultant). The team also benefited from guidance and feedback from Henri
Fortin (Lead Financial Management Specialist), Georgiana Pop (Senior Economist, Global Lead
for Competition Policy), Heriniaina Mikaela Andrianasy (Senior Public Sector Specialist), Karim
Ouled Belayachi (Senior Private Sector Specialist) and Cesar Borja Galan Santos (Consultant).


The team is grateful for the support from the following: Pinar Baydar (Operation Analyst), Irene
Sitienei (Program Assistant), and Josiane Maloueki Louzolo (Program Assistant). The team
would like to thank Erika Jorgensen (Consultant) for her editorial support.


The team is thankful to the peer reviewers Souleymane Coulibaly (Program Leader), Tim
Kelly (Lead Digital Development Specialist), Claire Honore Hollweg (Senior Economist) and
Guilherme De Aguiar Falco (Economist) for their contributions.


The team is especially grateful for the collaboration with Congolese authorities in the
preparation of this report and for sharing the data. Preliminary results were discussed with
several stakeholders in Congo (government counterparts, private sector actors, development
partners, academia) through virtual meetings.


Report design, layout & graphics:
Kane Chong


Cover image source:
© Parfait Iloki
Ministry of Land Management, Infrastructure and Road Maintenance, Republic of Congo.




4   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
Table of Contents
Acknowledgements                                                                                                                    4
List of Figures                                                                                                                     8
List of Tables                                                                                                                     10
List of Boxes                                                                                                                      10
Abbreviations and Acronymns                                                                                                        11


Executive Summary                                                                                                                  13
   Overview                                                                                                                        13
   Key findings                                                                                                                    17
   Policy options                                                                                                                  23


CHAPTER 1 Balancing Assets to Boost Long-Term Growth                                                                               27
   1.1 	The Republic of Congo is at a critical juncture in its development history                                                 28
   1.2 	Sustainable development will require dramatic action to diversify assets                                                   34
       1.2.1 	 Natural resources have been central for Congo’s growth, but they go beyond oil and must be
               managed better                                                                                                      36
       1.2.2	 Insufficient, volatile, and inefficient investment in produced capital has left Congo with both
              low human capital and gaps in infrastructure                                                                         40
       1.2.3 	 Institutional capital must be bolstered to support the government’s ability to transform
               natural resources into physical and human capital                                                                   46


CHAPTER 2 Labor Productivity                                                                                                       51
   2.1 	Productivity growth is the key driver of sustainable income growth and poverty reduction                                   52
   2.2 	Inadequate productivity in the Republic of Congo                                                                           54
       2.2.1	 Cross-country analysis reveals a severe productivity problem in the Republic of Congo                                54
       2.2.2	 Sub-national analysis reveals significant variation in productivity                                                  56
   2.3	 Misallocation drags down Congolese productivity                                                                            59
   2.4	 Policy implications                                                                                                        64


CHAPTER 3 Boosting Productivity through Competition                                                                                67
   3.1	 Congo’s competitive environment lags behind peers                                                                          68
   3.2	 Congolese SOEs benefit from an uneven playing field                                                                        70
       3.2.1	 Blurring of commercial and non-commercial activities for SOEs may confer an unfair
              advantage                                                                                                            72
       3.2.2	 SOEs receive some preferential treatment relative to private sector firms                                            74
   3.3	 Regulatory restrictions to competition distort markets in key areas                                                        75
       3.3.1	 Electricity sector has not attracted needed private participants                                                     76
       3.3.2	 Mobile telecommunications suffer from a lack of competition                                                          78
   3.4	 Current competition rules and competition enforcement are not enough to combat cartels and
        other anticompetitive practices                                                                                            83
   3.5	 Policy options to foster competition                                                                                       85
       3.5.1	 Enhance private sector entry and ensure a level playing field for private and public operators                       85
       3.5.2	 Promote pro-competitive regulation in selected sectors: electricity and telecommunications                           85
       3.5.3	 Strengthen the competition legislative and institutional framework                                                   86




                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification    5
Table of Contents




CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity               89
    4.1	 Accelerating productivity through digital transformation                                           90
        4.1.1	 Digital technologies and why they matter for Congo’s productivity and economic growth        90
        4.1.2	 Digital infrastructure in Congo                                                              92
        4.1.3	 Investing in people: foundational and digital skills                                         94
        4.1.4	 Adoption of productivity technologies by Congo’s firms                                       97
        4.1.5	 Policy options: how Congo can drive technological transformation for better productivity?   101
    4.2	 Accelerating productivity through improved access to electricity                                  104
        4.2.1	 How much access to electricity do Congolese firms have?                                     104
        4.2.2	 The current context of the electricity sector explains the difficulties faced by firms      107
        4.2.3	 Potential avenues of reform in the electricity sector to improve firm-level productivity    109


CHAPTER 5 Trade Competitiveness and Diversification                                                        113
    5.1	 Why greater trade integration matters                                                             114
    5.2	 Congo’s trade dynamics: a tale of a commodity exporter                                            114
        5.2.1	 Congo’s export basket remains highly concentrated                                           115
        5.2.2	 Low export survival rates limit export growth and diversification                           119
        5.2.3	 Services exports, especially tourism, have untapped potential for growth and diversification 120
        5.2.4	 Congo participates in Global Value Chains (GVCs) as an exporter of commodities but
               transitioning to more sophisticated GVC participation would bring significant gains         121
    5.3	 Trade policy                                                                                      123
        5.3.1	 High tariffs are hindering trade development                                                123
        5.3.2	 The implementation of the African Continental Free Trade Area (AfCFTA) presents a
               significant opportunity to increase and diversify exports                                   124
        5.3.3	 Detailed official Information on non-tariff measures is lacking in Congo                    125
        5.3.4	 Trade development can have detrimental distributional impacts that need to be mitigated     126
    5.4	 Policy options to support export diversification                                                  127
        5.4.1	 Further reduce tariffs and enhance regulatory transparency                                  127
        5.4.2	 Collect data on NTMs                                                                        127
        5.4.3	 Improve collection of customs data                                                          127
        5.4.4	 Accelerating the implementation of AfCFTA                                                   128
        5.4.5	 Policies for greater GVC participation                                                      128
        5.4.6	 Policies to mitigate the negative impacts of trade                                          128


CHAPTER 6 Logistics and Eco-tourism to Support Diversification                                             131
    6.1	 Trade facilitation: bottlenecks and opportunities                                                 132
        6.1.1	 The logistics in Congo are facing widespread challenges                                     132
        6.1.2	 Trade costs are high across the board: freight rates, port costs, land transport, and
               documentation                                                                               136
        6.1.3	 Public-private dialogue is aiming to craft solutions but fails at implementation            138
        6.1.4	 Policy recommendations to decrease costs and increase efficiency of the logistics system    138




6     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                  Table of Contents




  6.2	 Ecotourism: diagnostic and roadmap                                                                                           140
        6.2.1	 Tourism demand is on the decline, suffering from weak brand identity                                                 142
        6.2.2	 Tourism supply, with difficult and expensive access and a dearth of skilled staff, could
               benefit from a different model of development                                                                        143
        6.2.3	 Tourism governance, essential to ecotourism growth, has been unstable, understaffed,
               outdated, and unable to provide quality control to the sector                                                        145
        6.2.4	 Roadmap for Congo’s tourism sector development demands broad improvements to
               deliver on ecotourism’s promise                                                                                      146


Annex                                                                                                                               154
  Annex 1.	 Implementation of a State Aid Framework                                                                                 155
  Annex 2.	 Government Presence in Network Industries                                                                               156
  Annex 3.	 Framework for the Competition Analysis of Electricity Sectors                                                           157
  Annex 4.	 Framework for the Competition Analysis of Mobile Telecommunication Sectors                                              158
  Annex 5.	 Additional Figures and Tables                                                                                           159


References                                                                                                                          166




                                        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification     7
Table of Contents




List of Figures
Figure ES1 Analytical outline of the CEM                                                                 16

Figure 1       Gains in income per capita during the last oil boom have been lost                        28

               The hydrocarbon sector plays a dominant role in the economy but offers fewer
Figure 2                                                                                                 31
               employment opportunities

Figure 3       The oil sector remains the major driver of economic growth in Congo                       32

               Falling output per employee drives Congo’s loss in income per capita, especially in
Figure 4                                                                                                 32
               industry and services

Figure 5       Framework of Asset Diversification                                                        35

Figure 6       Natural capital remains Congo’s greatest asset                                            35

Figure 7       Congo has been depleting its natural capital endowments without adding to its wealth      35

Figure 8       Congo’s oil production and oil exports are significant                                    36

Figure 9       Oil dominates Congo’s government revenues                                                 38

Figure 10      Congo’s share of oil rents could be higher and lags that of peers                         39

               Inadequate human capital outcomes are accompanied by low and inefficient social
Figure 11                                                                                                41
               sector spending

               Despite high historical investment rates, access and coverage to basic infrastructure
Figure 12                                                                                                43
               remains low

               Deteriorating quality of Congo’s policies and institutions leaves it farther behind SSA
Figure 13                                                                                                46
               averages

               The end of the oil boom led to plummeting capital spending, sustained current spending
Figure 14                                                                                                49
               (except for maintenance), and soaring public debt

Figure 15      Labor productivity levels are low and decreasing                                          54

               Labor productivity growth is weak and declining across sectors and over time compared
Figure 16                                                                                                55
               to peers

Figure 17      Productivity and productivity growth vary substantially across regions                    56

Figure 18      Productivity and productivity growth vary across subsectors                               57

Figure 19      Productivity and productivity growth differ by firm characteristics                       58

Figure 20      More productive firms pay higher wages but employ fewer people on average                 59

               Employment has not grown in high productivity sectors, dragging down aggregate
Figure 21                                                                                                60
               productivity

Figure 22      Productivity is not growing in sectors with employment growth and vice-versa              60

               The high degree of productivity dispersion implies that misallocation is an issue,
Figure 23                                                                                                61
               especially in certain services, such as the financial sector

Figure 24      Improving the allocation of resources could greatly increase productivity levels          62

               Older firms are larger and more productive, implying some efficiency of dynamic market
Figure 25                                                                                                63
               forces, including exits

Figure 26      Congo fares inadequately in competition related indicators                                69

Figure 27      Transfers and subsidies to SOEs CORAF & CEC are substantial                               75

Figure 28      Mobile telecommunication market is concentrated among two operators                       78

Figure 29      Early mobile market competition with four competitors                                     79




8    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                Table of Contents




Figure 30   Mobile telephony penetration has faded after a decade sharp increase                                                   79

Figure 31   Congo lags in terms of internet users                                                                                  80

Figure 32   The uptake of mobile internet services in Congo remains hampered by high prices                                        80

Figure 33   Digital transformation as a key driver for productivity, economic growth and job creation                              92

            Insufficient supply of digital education and graduate with STEM background is a setback
Figure 34                                                                                                                          95
            for digital skills development

Figure 35   Congo’s digital literacy gap is a barrier for digital adoption                                                         96

Figure 36   Firms’ financing constraints is the main barrier to digital adoption                                                   99

Figure 37   Access to electricity is relatively low in Congo                                                                      104

Figure 38   Congo had one of the highest staff costs as a percentage of operational expenditures                                  109

Figure 39   Congo’s trade openness is high for its per capita income, but it has been declining                                   115

Figure 40   Trade in goods is bigger than trade in services                                                                       115

Figure 41   Congo’s exports are highly concentrated on oil and minerals                                                           115

Figure 42   Congo’s REER has remained broadly unchanged                                                                           116

Figure 43   Congo’s export basket is highly concentrated                                                                          117

Figure 44   Congo’s imports are less concentrated than exports                                                                    118

Figure 45   Congo export survival relationships lags peers and do not last long                                                   119

            Exports of Congolese services have been volatile and dominated by commercial and
Figure 46                                                                                                                         120
            business services

Figure 47   A Taxonomy of GVC participation                                                                                       121

Figure 48   Transitioning to more sophisticated participation in GVCs: examples of national policy                                122

Figure 49   Most of CET bands are on the 10 or 30 percent tariff category                                                         123

            Congo’s applied MFN tariff is lower than CEMAC and African peers, but higher than non-
Figure 50                                                                                                                         123
            African peers

Figure 51   Congo’s logistics performance has been improving but lags against peers                                               132

Figure 52   Most of Congo’s port traffic is linked to transshipment                                                               133

Figure 53   Trade Procedures and Systems in Congo                                                                                 134

Figure 54   Container handling costs in Pointe-Noire are higher than in other West African ports                                  136

Figure 55   Map of Republic of Congo with key protected areas                                                                     141




                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification     9
Table of Contents




List of Tables
Table ES1 Summary of policy options                                                                        23

Table 1      Preliminary competitive neutrality gap analysis for Congo                                     71

Table 2      Detailed Recommendations to Foster Competition                                                86

Table 3      Distribution of electronic money transactions in CEMAC countries in 2020                      93

Table 4      Participation in education and employment                                                     94

Table 5      Detailed Recommendations to Accelerate Digital Transformation                                102

Table 6      Getting a new electricity connection takes more time and costs more than in peer countries   105

Table 7      Congo has the least reliable supply and least transparent tariff among peers                 106

Table 8      Detailed Policy Avenues to improve Access to a Reliable Electricity Service                  111

Table 9      Detailed Policy Recommendations to Support Export Diversification                            129

Table 10     Detailed Policy Recommendations to Improve the Efficiency of the Logistics System            139

Table 11     Detailed Policy Recommendations to Deliver on Ecotourism’s Promise                           152




List of Boxes
Box 1       The economic impact of COVID-19 in Congo has been substantial: collapse in oil revenue,
                                                                                                           29
            shortages of imports and depressed domestic demand, and fiscal imbalances

Box 2       The impact of the war on Ukraine in Congo: more expensive food, high oil prices, and
                                                                                                           30
            potential debt pressures

Box 3       State oil company contribution to building human capital: Lessons from Malaysia                41

Box 4       A peer country case of successful public investment management: Botswana                      44

Box 5       Productivity Data and Measures for the Republic of Congo                                       53

Box 6       Sources of Productivity Growth and Enabling Policy                                             64

Box 7       Ineffective Monitoring of SOEs – Congo Telecom                                                 73

Box 8       Impact on growth of increased mobile broadband penetration                                     91

Box 9       Spotlight on Kenya’s Digital Literacy Program                                                  97

Box 10      Firm Adoption of Technology (FAT) survey in Congo                                              98

Box 11      Development of digitalized productive value chain – spotlight on Botswana                     100

Box 12      Export diversification and income                                                             117

Box 13      A country peer case of successful development of ecotourism – Costa Rica                      147




10   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                    Table of Contents




Abbreviations and Acronyms
AfCFTA    African Continental Free Trade Area                      GVCs            Global value chains
ARPCE     Regulatory Agency for Posts and Electronic               HCI             Human Capital Index
          Communication ( Agence de Régulation des
          Postes et des Communication Electroniques)               DI              Import declaration (déclaration d’importation)

ARSEL     Regulatory Agency for the Electricity                    IPP             Independent power producer
          Sector ( Agence de Regulation du Secteur de              ICT             Information and communications technologies
          l’Electricité )
                                                                   INS             National Institute for Statistics (Institut National
ASYCUDA   Automated System for Customs Data                                        de la Statistique)
BEAC      Bank of Central African States (Banque des               IT              Information technology
          États de l’Afrique Centrale)
                                                                   ITU             International Telecommunication Union
BTI       Bertelsmann Transformation Index
                                                                   LPI             Logistics performance index
CCC       Community Competition Council (Conseil
          Communautaire de la Concurrence)                         MPTEN           Ministry of Posts, Telecommunications and
                                                                                   Digital Economy (Ministère des Postes,
CEC       Congo Power Plant (Centrale Électrique du                                des Télécommunications et de l’Economie
          Congo)                                                                   Numérique)
CEM       Country Economic Memorandum                              MTL             Ministry of Tourism and Leisure (Ministère du
CEMAC     Central African Economic and Monetary                                    Tourisme et des Loisirs)
          Community                                                NTA             National tourism authority
CET       Common external tariff                                   NTBs            Non-tariff barriers
CFAF      African Financial Community Franc                        NTMs            Non-tariff measures
          (Communauté Financière Africaine Franc)
                                                                   NNNP            Nouabalé-Ndoki National Park
CNC       National Audit Office (Commissariat National
          aux Comptes)                                             OHADA           Organization for the Harmonization of Business
                                                                                   Law in Africa
CNEEPIP   National Center for the Study and Evaluation
          of Public Investment Projects (Centre                    ONPT            National Office of Posts and
          National d’étude et d’Evaluation des Projets                             Telecommunications (Office National des
          d’Investissement Public)                                                 Postes et Telecommunications)

CORAF     Congo Refinery (Congolaise de Raffinage)                 OPEX            Operational Expenditures

CPIA      Country Policy and Institutional Assessment              OPIT            Office for the Promotion of the Tourism
                                                                                   Industry (Office de Promotion de L’industrie
CST       Supreme Tourism Council (Conseil Suprême du                              Touristique)
          Tourisme)
                                                                   P2G             Person-to-Government
cu. m.    standard cubic meters [of natural gas]
                                                                   PND             National Development Plan (Plan National de
DRC       Democratic Republic of Congo                                             Développement)
DMO       Destination management organization                      PAs             Protected Areas
DLP       Digital Literacy Program                                 PNDS            National Health Development Plan (Plan
eCTN      Electronic Cargo Tracking Note                                           National de Développement Sanitaire)

EITI      Extractive Industries Transparency Initiative            PPP             Public-private partnership

FAL       Convention on Facilitation of International              SOEs            State-owned enterprises
          Maritime Traffic                                         SMEs            Small and medium enterprises
FDA       French Development Agency ( Agence française             SNPC            National Oil Company (Société Nationale des
          de développement)                                                        Pétroles du Congo)
FASUCE    Electronic Communications Universal Access               SSA             Sub-Saharan Africa
          and Service Fund (Fonds pour l’Accès et
          le Service Universels des Communications                 STEM            Science, technology, engineering and math
          Électroniques)
                                                                   TEUs            Twenty Equivalent Units
FAL       Convention on Facilitation of International
                                                                   TFA             Trade facilitation agreement
          Maritime Traffic
                                                                   TRAINS          Trade Analysis and Information System
FAT       Firm adoption of technology
                                                                   UNCTAD          United Nations Conference on Trade and
DGPP      General Directorate of Public Portfolio
                                                                                   Development
          (Direction Générale du Portefeuille Public)
                                                                   UNDP            United Nations Development Program
G2G       Government-to-Government
                                                                   UNESCO          United Nations Educational, Scientific and
G2P       Government-to-People
                                                                                   Cultural Organization
GIZ       Deutsche Gesellschaft für Internationale
                                                                   USAID           United States Agency for International
          Zusammenarbeit
                                                                                   Development
GSMA      Global System for Mobile Telecommunications
                                                                   US$             United States of America dollars
GUOT      One-Stop Shop for Cross-Border
                                                                   USA             United States of America
          Operations (Guichet Unique des Operations
          Transfrontalières)                                       VFR             Visiting friends and relatives
GUT       One-Stop-Shop for Tourism (Guichet Unique du             WDI             World Development Indicators
          Tourisme)




                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification    11
                                                                                                 © Valdhy Mbemba/unsplash.com




12   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
Executive Summary

Overview
Congo is at a critical juncture in its development
history
The Republic of Congo’s seven-year recession has led to a dramatic drop in income per capita and put
the country at risk of falling back into low-income status. Following a period of conflict in the 1990s, Congo*
managed to secure significant income per capita gains during the early 2000s. However, economic activity in
the country (historically dependent on the oil sector) has been shrinking since 2015 when the last commodity
supercycle (circa 2002-2014) ended. The COVID-19 crisis was another setback for Congo’s recovery from the
ending of the last oil boom, prolonging the economic recession. While the significant growth in per capita
Gross National Income (GNI) during the oil boom era helped Congo reach lower-middle income status in 2005
and near upper middle income status in 2014, the end of the oil boom led to a drop in GNI per capita by more
than half between 2014 and 2020, reversing the country’s long-term progress in poverty reduction. Despite the
adoption of a “resilience plan” to mitigate the impact of the war on Ukraine on Congo, poverty could be further
exacerbated as a result of the effects of rising food prices on the most vulnerable.

Congo has made little progress in reducing the dominant role of
the oil sector in the economy and diversifying its productive base
                                                                                                                    Congo’s current
to industries with a higher labor content. In the past decade, the
oil sector has accounted for around 40 percent of GDP, 80 percent                                                   economic model
of total exports, and 60 percent of domestic revenues. The industry                                                 —dependent on
employs only a small fraction of the labor force. Not surprisingly,
                                                                                                                    the oil sector—is
the hydrocarbon sector, through its direct and indirect impact on
the economy, has been driving economic growth in Congo, but the                                                     unlikely to continue
dependence on the oil sector has also translated into high volatility of                                            to deliver even the
growth, which undermines private investment and, thereby, long-term
                                                                                                                    volatile economic
economic growth prospects.
                                                                                                                    growth of the past,
The current development model is unlikely to deliver sustainable                                                    challenged by the
economic growth and productive jobs going forward. Congo’s
                                                                                                                    current uncertain
current economic model—dependent on the oil sector—is unlikely to
continue to deliver even the volatile economic growth of the past,                                                  global context,
challenged by the current uncertain global context, projected depletion                                             projected depletion
of Congo's oil reserves, and the global transition to a low carbon
                                                                                                                    of Congo's oil
economy. In addition to the unsustainability of overall growth, Congo’s
oil-based economy has provided few opportunities for job creation                                                   reserves, and the
due to the low labor content of the hydrocarbon industry. Indeed, the                                               global transition
great majority of the Congolese population cannot find a job in the
                                                                                                                    to a low carbon
formal economy, with about three quarters of the Congolese workforce
(including most youth) employed in the informal sector, either self-                                                economy.
employed or in low productivity jobs.


Attaining sustainable development in Congo will require diversified national assets, focusing on
stronger institutions, vigorous human and physical capital, and more balanced exploitation of natural
capital. The World Bank flagship report “Diversified development: making the most of natural resources in


* Throughout this report, all mentions of "Congo" refer to the Republic of Congo, whereas the Democratic Republic of Congo will be referred to as "the Democratic
Republic of Congo" or "DRC".




                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification              13
Executive Summary




Eurasia” (World Bank, 2014) suggests that diversified exports and less concentrated economic structures are
not sufficient for countries to develop. Instead, countries should focus more on diversifying their national asset
portfolios—that is, to ensure a better balance between natural capital (natural resources), produced capital
(human and physical), and economic institutions (or intangible assets). Natural capital has historically been
Congo’s largest asset and source of wealth, while other forms of assets have not been growing. Moreover,
despite abundant natural resource wealth, both in renewables (forests, agricultural land) and non-renewables
(natural gas, mining), the exploitation of natural resources in Congo has been focused mostly on oil, while other
natural assets remain largely unexploited. Since Congo’s oil production is expected to decline in the medium
term due to the depletion of recoverable oil and reduced demand over the long-term from the global transition
to a low-carbon economy, there is an urgency to diversify Congo’s assets.




Sustainable development will require dramatic action
to diversify assets
Oil revenue is critical for government finances, but collection falls short. Despite the importance of
oil revenues in total revenue collection, the capacity of the government to collect revenues from oil is low,
dampened by weak governance and institutional capacity. Congo collects fewer revenues per dollar exported
compared to most peers. The country’s relatively inadequate performance in collecting revenue from the oil
sector suggests shortcomings in the negotiation of oil production deals and, most importantly, insufficient
enforcement of its Hydrocarbon Code.

The drawdown of Congo’s oil resources has not translated
to sufficient accumulation of human and physical capital.                                        Fostering
Underinvestment in human capital limits the productivity of the
workforce. Health and education expenditures in Congo are relatively
                                                                                                 human capital
low compared to peers and often below budget targets. As a result,                               development
Congo’s score in the human capital index lags those of peer countries                            and enhancing
and has registered very limited progress since 2010. The low quality
of education, reflected in a learning gap of 3.6 years for Congolese
                                                                                                 the quantity and
students, limits workers’ productivity growth and, thereby, the country’s                        quality of strategic
ability to take full advantage of its labor force. High private and public                       infrastructure
investment spending over recent years has contributed to a steady
accumulation of physical capital in Congo, but investment has been
                                                                                                 would enable
volatile and driven by developments in the oil sector. Consequently,                             productivity
Congo’s coverage of basic infrastructure remains insufficient. Moreover,                         gains, supporting
low public investment efficiency has limited the economic and social
benefits of public spending. Fostering human capital development and
                                                                                                 diversification
enhancing the quantity and quality of strategic infrastructure would                             efforts.
enable productivity gains, supporting diversification efforts.


The decades-long exploitation of natural resources has not been accompanied by the establishment of
strong institutions in Congo, which are essential to support the capacity of the government to transform
natural resources into physical and human capital assets. The World Bank’s Country Policy and Institutional
Assessment (CPIA) provides a snapshot of the country’s quality of institutions. In 2020, Congo’s overall score
was lower than the Sub-Saharan Africa average and had deteriorated compared to 2015. This reflects, in part,
weaker economic management, which resulted in debt distress and lack of fiscal space. Pro-cyclical fiscal
policies, tightly linked to oil price fluctuations, have amplified economic cycles in Congo and impacted long-
term growth. Further, structural policies for the business regulatory environment have been generally weak
and getting worse compared to peers. As a result, Congo’s business environment is not conducive to private
sector investment. The quality of policies and institutions to boost health, education, and social protection has
remained mostly unchanged since the mid-2000s, with a need to strengthen service delivery and increase the
coverage of social protection. Finally, despite recent progress in transparency and the fight against corruption,
Congo’s performance in public sector governance remains low.




14   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                               Executive Summary




The government is taking steps for a transition to a
more sustainable economic development model
Since the presidential elections of March 2021, reform momentum has accelerated. Following his election
in March 2021, the President appointed a new government with a strong mandate to undertake reforms to turn
around the country’s economy. Congo’s reform impetus is also driven by the country’s leadership of the Central
African Economic and Monetary Community (CEMAC) Program of Economic and Financial Reforms (PREF-
CEMAC II, 2021-25). In August 2021, the Heads of State of the CEMAC endorsed a declaration committing the
member states to a strong program of ‘second generation’ reforms to restore the region’s macroeconomic
sustainability, support a strong and diversified recovery from the crisis, develop the region’s connectivity
infrastructure, and accelerate human capital development. Congo’s reform commitment is anchored by the new
three-year IMF program approved in January 2022 and the ongoing Development Policy Financing program
with the World Bank. Significant participation of government counterparts from several ministries in workshops
for the preparation of this report is another sign of the government’s commitment to a new economic model.


The Congolese government’s new National Development Plan
(Plan National de Développement, PND) lays out steps for a
more diversified and inclusive growth model. To reverse flagging                          The Congolese
GDP growth and translate its vision for a new development model,                          government’s new
Congo adopted early this year a new PND for 2022-26. The PND aims
                                                                                          National Development
to build a strong, resilient, and diversified economy for sustainable
and inclusive development. It is articulated around six strategic                         Plan aims to build a
areas: the development of agriculture and agroforestry, industry,                         strong, resilient, and
tourism, digital economy, real estate, and special economic zones. It
                                                                                          diversified economy
also identifies peace and political stability, governance, the business
environment, and environmental protection as four cross-cutting                           for sustainable and
areas that will support successful economic development. The PND                          inclusive development.
offers a good opportunity to transform Congo’s economy and boost
inclusive and sustainable development




                                                                                                                                        © Erwan Morand/World Bank




                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   15
Executive Summary




This Country Economic Memorandum (CEM) contributes to the Government’s diversification agenda
by identifying and advocating key policies and reforms to build the foundations for more “diversified
development” in Congo that will support long-term economic growth and prospects for a better life
for the Congolese people. The report comprises six chapters. The first chapter discusses Congo’s economic
developments during the last 15 years and analyzes in detail the factors that prevented the country from
diversifying its assets. Since rising labor productivity is required to boost the growth of Congo’s income
per capita, the second chapter analyzes labor productivity using firm level data, a first attempt in Congo.
Because removing barriers to competition enhances productivity, the third chapter undertakes a diagnostic of
competition practices, including the role of state-owned enterprises (SOEs), and provides a detailed analysis
of the electricity and telecommunication competition environments. The fourth chapter explores the extent
to which digital transformation and access to reliable electricity services can spur productivity and economic
growth. As greater trade integration is a driver of structural transformation, the fifth chapter discusses trade
patterns and explores the opportunities for Congo to diversify its exports. The sixth chapter looks over two key
trade-related topics, logistics and ecotourism, that have the potential to contribute significantly to export and
economic diversification in Congo. The chart below (Figure ES 1) portrays the linkages between each of the
four thematic chapters and the different types of assets in the diversified development framework, and their
contributions to productivity growth.



FIGURE ES1
Analytical outline of the CEM

                                                                                                                                         PHYSICAL
                                                                                                                                         CAPITAL
                 NATURAL                                                   PRODUCED
                 CAPITAL                                                   CAPITAL
                                                                                                                                         HUMAN
                                                                                                                                         CAPITAL



                                                                         INSTITUTIONS




                                                                                                                         TYPE OF ASSETS PRIMARILY
          THEMATIC CHAPTERS
                                                                                                                           BEING STRENGTHENED



               Competition




               Digital Technology
               and Electricity



                                                                   PRODUCTIVITY
               Trade
               Competitiveness



               Logistics and
               Ecotourism




Note: The “Diversified Development” framework suggests that countries should focus on diversifying their national asset portfolios to ensure a better balance
between natural resources, produced capital, and economic institutions (enabler of such diversification). The color and icon of each small circle indicates which
type of asset is primarily being strengthened in each thematic chapter.




16     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                    Executive Summary




Key findings

   1        Congo needs to reverse declining labor
            productivity
Congo faces low and declining labor productivity compared to peers, thereby limiting economic
growth and preventing convergence with comparator economies. An average worker in Congo needs to
work 2.6 times longer to produce the same output as one working in an aspirational peer country and 2.2 times
as long compared to structural peers.** Across sectors, labor productivity levels in Congo generally lag those
in peers, even in the industrial sector, which is Congo’s most productive sector. Congo’s productivity levels
in agriculture and services are the lowest across all comparison groups of countries. At the sub-sector level,
there is significant variation, ranging from the extractives sector with over CFAF 20 million per worker to other
industrial subsectors (finance, utilities, transport) around CFAF 8 million per worker to service subsectors at
CFAF 2 to 3 million per worker. A particular cause for concern is the very low productivity of manufacturing,
with value added per worker below CFAF 2 million. Regional disparities in labor productivity, excluding
extractives, are very large, with the most productive region (Cuvette) registering more than four times the
value added per worker of the least productive region (Likouala). As expected, larger, formal, foreign, and older
firms tend to have higher labor productivity. In recent years, labor productivity growth has been volatile and
increasingly negative, mirroring volatile and declining GDP growth. From 2014, a consistent downward trend
can be observed, and by 2019, value added per worker was falling at a rate of nine percent per year in services
and 2.6 percent in industry. These negative trends have recently been exacerbated by the impact of COVID-19.

Misallocation of labor partially represents a drag on productivity growth in Congo. Although more
productive firms pay higher wages in Congo, they tend to employ fewer people on average. This trend is seen
especially in the service sector and reflects a misallocation of labor as most workers should be employed by
more productive firms. Indeed, recent data shows that employment growth has not always been in the most
productive sectors or in those with the highest productivity growth, thereby dragging down Congo’s aggregate
productivity. SOEs tend to drag down aggregate productivity while employing more people and providing
higher wages, which exacerbates misallocation. On the positive side, older firms tend to be consistently larger
and more productive, indicating a relative efficiency of exit and dynamic market forces over time, as well as
positive learning effects.




  2         Leveling the playing field, reducing market
            distortions, and implementing an economy-wide
            competition policy are essential to enhance
            competition
According to perception-based indicators, domestic competition in Congo lags behind peers. The
Bertelsmann Transformation Index ranks Congo below peer countries on its economic transformation towards
a market economy, especially on institutional rules for market participation, competition policy, foreign trade
liberalization, and protection for private enterprise. According to the Economist Intelligence Unit, businesses
perceive risks related to cronyism, discrimination against foreign companies, and unfair competitive practices
to a greater extent than in comparator countries. Lack of competition is evident in the electricity and
telecommunications sectors, mostly related to the dominance of SOEs.



** Throughout this report, Congo’s regional peers are Angola, Cameroon, Ghana, and Nigeria; its structural peers are Azerbaijan, Iraq, Mauritania, and Timor-
Leste; and its aspirational peers are Indonesia, Malaysia, and Vietnam. Depending on data availability, sub-sets or alternate comparators are sometimes used.




                                                     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification            17
Executive Summary




Congolese SOEs do not consistently compete on an even playing field with private-sector firms. The
absence of a clear separation between commercial and non-commercial activities of SOEs allows them to cross-
subsidize commercial activities in markets where they face private competition. Also, Congolese SOEs are not
systematically and transparently audited. Legal treatment of SOEs differs in practice even though Congolese
commercial law formally treats SOEs identically to private sector firms. For instance, there is evidence of SOEs
failing to pay taxes without repercussions. Finally, SOEs often receive advantages in the form of sovereign
debt guarantees and budget subsidies, which are not always available to the private sector and are granted
irrespective of the SOE’s efficiency. In some cases, transfers and subsidies have been substantial (e.g., to
energy-related SOEs during the last few years).


Congo does not presently have a comprehensive National Competition Law or a National Competition
Authority, although it has taken tentative steps in that direction. In 1994, Congo enacted a law on
competition, which prohibits anticompetitive agreements but addresses neither merger control nor abuse
of market dominance. This law does not appear to have been systematically applied to regulate competition
and does not allow for sufficient penalties to discourage the most serious anticompetitive practices. The
most promising steps in competition regulation have occurred at the regional level through CEMAC, with a
comprehensive regional law with significant penalties and its own enforcement agency. However, draft laws in
this area are being prepared.


Past efforts to liberalize the electricity sector and allow the entry of private-sector participants have not
yet fully yielded the expected results. The few reforms taken to open up the electricity market to private sector
participation have not been fully satisfactory, and there is currently no purely private sector actor competing
independently in the market.*** The regulatory environment of the electricity sector does not encourage private
sector participation. For instance, under the Electricity Code, private sector firms cannot enter the electricity
market without obtaining delegation contracts (equivalent to concessions) with the government. Also, the
market power of the electricity utility (Énergie Electrique du Congo, E²C), a state-owned monopoly in electricity
transmission, likely discourages any competition in the production and distribution of electricity in the absence
of vertical separation between these two sub-sectors. Retail tariffs are set at levels that appear to be far below
the cost of production, further dissuading any potential entrant. Finally, the extent and nature of government
subsidies to the electricity market are not transparent, deterring the entry of potentially more efficient private-
sector participants.


Despite recent progress, the market in mobile telecommunications remains highly concentrated,
leading to high prices. The liberalization of the telecommunications sector was successful in attracting
private-sector entrants, but over the last decade, key telecommunications markets have been reduced to
duopolies. The liberalization of the mobile telecommunications market allowed for the rapid growth of mobile
telephony. Growth in mobile internet, however, seems to have faltered, and prices in that market remain relatively
high compared to peer markets. Anticompetitive outcomes persist because: the regulatory structure, while
appropriate, has not been fully applied; the sector lacks mobile number portability that could put downward
pressure on prices; and the regulator’s price setting authority is overly broad.




     3        Congo needs to accelerate digital
              transformation to enhance productivity growth
While the Government of Congo has been committed to advancing digital transformation, the
information and communications technologies (ICT) sector is not yet at its full potential. Driven by the
five-year Digital Economy Strategy, “Vision Congo Digital 2025,” many reforms and projects have been launched
to reinforce digital infrastructure, strengthen the legal environment, and improve coverage. As a result, the ICT
sector is relatively well developed and contributes positively to Congo’s economic growth. The arrival of mobile



*** One of the key players in production is the Congo Power Plant (Centrale Électrique du Congo, CEC) which is an independent company jointly owned by the
State (80 percent) and ENI Congo (20 percent).




18       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                 Executive Summary




money has also revolutionized the sector and greatly increased financial inclusion. Despite the recent progress
registered in the deployment of digital infrastructure, limited complementary policy actions have been taken so
far to accelerate the adoption of digital technologies and increase digital skills in the country.


Inadequate ICT infrastructure and high internet service prices are slowing down the adoption of digital
technology and the development of digital skills. While the geographical reach of mobile broadband
networks has significantly increased in recent years, uptake of mobile high-speed internet services remains
hampered by high prices. Availability of ICT infrastructure and equipment is also a recurring problem in Congo’s
education system, with most primary and secondary schools constrained by the lack of ICT equipment and the
high cost of internet services. This has resulted in a large digital literacy gap, slowing down digital adoption, with
only 11 percent of the population of Congo using computers. Digital skills courses are not included in the formal
education system, with the supply of advanced and specialized digital skills training covered by the private
sector, concentrated in Brazzaville and Pointe-Noire.


Low digital skills and the slow adoption of digital technologies constrain the productivity of Congo’s
firms. Congo’s labor market suffers from a mismatch between the digital skills acquired through formal
education and those sought by employers and firms, which often results in unfilled vacancies in the ICT sector.
From a small sample of firms surveyed for this report, most have adopted key technologies (mobile phones,
computers, smartphones, and the internet), but small firms lag in technology adoption. The adoption of ICT in
business is still low, except for standard software for back-office tasks. Marketing is still conducted primarily
face-to-face, while sales are predominantly conducted at the establishment’s premises or by phone. Lack of
financing is identified by firms as the main obstacle to adopting and using new digital technologies. However,
given the small sample, these findings cannot be generalized. Congo’s digital entrepreneurship ecosystem
remains nascent, and while investment in tech-based startups is on the rise, there is limited support for these
firms beyond an incubation stage.




  4      Congo needs to invest more to improve access
         to reliable electricity services to enhance
         productivity
The lack of reliable electricity services undermines firms’ productivity. As in other African countries, firms
in Congo face challenges related to electricity service, with only half the population having access to electricity.
Electricity connections in Congo take longer than in peers and are costly both in urban and rural areas. The
quality of service is also unreliable, with power outages occurring near daily, forcing firms to resort to self-
generation. Self-generation is estimated to cost almost three times more than current tariff rates, eroding firms’
profits.


Despite past attempts at reform, the power sector remains constrained by limited coordination and
oversight, discouraging private investment. Planning within the sector has been uncoordinated. For instance,
a Generation and Transmission Master Plan was prepared in 2016 but was never fully implemented. Recent
reforms aiming at the unbundling of the sector and participation of the private sector have not been successful.
These reforms have included the creation of a sector regulator. However, the regulator is still subordinated to
the Ministry of Energy, likely impacting its ability to act in an impartial and objective manner.


The sector is financially unviable, preventing re-investment that could improve the quality of service
for firms. The national electricity company is heavily indebted, burdened by a high-cost structure due to high
salaries as well as high technical losses and low collection of bills. As a result of the limited financial flows within
the sector, there is little re-investment into its infrastructure to increase the number of connections or towards
operations and maintenance, which in turn results in poor quality of service.




                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   19
Executive Summary




     5        Congo needs to take advantage of the
              opportunities offered by the African Continental
              Free Trade Area (AfCFTA) to enhance trade
              competitiveness and gradually transition to
              participation in more sophisticated global value
              chains (GVCs)
Congo’s trade openness is high, but its exports are highly concentrated. Congo’s exports are highly
concentrated in minerals, but, in addition, the number of products the country exports is lower than most
comparators. Congo’s survival rate in export markets is below those of most of its peers, which limits export
growth and diversification. Congolese exports of services have been volatile and dominated by commercial and
business services. Congo participates in GVCs mostly as an exporter of commodities.


High tariffs and non-tariff measures are hindering trade development. Congo applies the CEMAC common
external tariff on imports from outside the CEMAC region, which on average is high. Further, Congo’s applied
most-favored-nation tariff is on average lower than in CEMAC and African peers but higher than non-African peer
countries. Implementation of a free trade area within CEMAC has been challenging. For instance, determining
the origin for duty-free treatment under the application of rules of origin has been problematic. Beyond tariffs,
a range of non-tariff measures and procedural obstacles to trade are reported for Congo and add to trade costs.
Transparency of import and export regulations and procedures is lacking in Congo; detailed official information
on non-tariff measures is not readily available.

The implementation of the AfCFTA presents a significant opportunity for Congo to increase and diversify
its exports. The AfCFTA will provide opportunities to help African countries such as Congo to increase and
diversify exports, accelerate growth, and attract foreign direct investment. It will give Congo more opportunities
to trade with neighboring or regional countries. It has the potential to lift 30 million people out of extreme
poverty in the region, but achieving its full potential will depend on putting in place significant policy reforms
and trade facilitation measures.




     6        Tackling logistics bottlenecks is an urgent priority
              for trade facilitation
Logistics in Congo are facing widespread challenges, including lack of sufficient infrastructure
and complexity. Although Congo’s logistics performance has recently improved, it is weaker than in most
comparator countries, with the worst performance in logistics infrastructure. Despite automation, logistics
processes and trade procedures remain complex. Several institutions are involved in trade procedures, and
most have implemented information technology (IT) systems to manage their documentation processes.
Despite automation, users still report significant difficulties in obtaining different licenses and clearances.


Trade costs are high across the board: freight rates, port costs, land transport, and documentation.
Freight rates to and from Congo have been impacted by the global rise in shipping prices and congestion at the
container terminal. Port-related costs and land transport costs are high. Compared to West Africa, container
handling costs at the port and long-distance road transport costs in Congo are more expensive. In addition, the
documentation costs in Congo are far higher than elsewhere in Africa.




20       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                               Executive Summary




  7      Development of Congo’s tourism sector demands
         broad improvements to deliver on ecotourism’s
         promise
There is enormous potential for ecotourism in Congo, but several bottlenecks in the sector have resulted
in a decline in tourist arrivals in recent years. The government’s PND identifies over 20 tourism sites or zones
for tourism development, of which four have the strongest potential for ecotourism. Tourism demand, however,
remains low, and it has been declining since peaking in 2013, with most tourists consisting of business travelers
and friends and family visits. Many bottlenecks are stopping the development of the sector from the demand
side, including weak brand identity and a general lack of awareness of Congo as a tourism destination.


Tourism supply is characterized by difficult and expensive access and a dearth of skilled staff. Congo’s
primary ecotourism destinations include the nation’s Protected Areas, the Congo River and other waterways,
the wild coast and beaches, and nature sites not designated as protected areas such as waterfalls and other
natural landscapes. Access to tourism destinations in Congo both by air and land is difficult and expensive.
Moreover, customs and police staff lack an understanding of the benefits of tourism and often harass tourists.
Finally, the sector lacks adequate educational programs and training to supply qualified human resources to
staff hotels, protected areas, tour operators, restaurants, and other tourism services.

Tourism governance, essential to protect Congo’s natural heritage and enable the growth of ecotourism,
has been unstable, understaffed, and outdated. The national tourism authority has been plagued by
instability, having undergone 24 restructurings since its creation in 1963. Congo’s tourism authority also suffers
from insufficient financial and human resources to manage and coordinate the sector. The legislation and
regulations governing the tourism sector are outdated and do not reflect current national priorities.




                                                                                                                                        © SURZ/bigstockphoto.com




                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   21
                                                                                                 © Elise Vanormelingen/World Bank




22   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                 Executive Summary




Policy options
Building the foundations for more diversified development will
require the implementation of numerous policy options in the short
and medium term, most focused on building Congo’s intangible
capital—its economic institutions. Congo has committed itself to a
more diversified and inclusive growth model under its new PND, and
the key findings of this report identify the many challenges facing the
government in achieving this goal. A set of policy options to address
these challenges over the short to medium term are discussed in
                                                                                                  The analysis
detail in each chapter and summarized in the table below (Table ES1).                             and the policy
The analysis and the policy recommendations are structured around                                 recommendations
the major challenge to Congo’s long-term prosperity—diversifying its
national asset portfolio. Some areas of policy are almost entirely focused
                                                                                                  are structured
on strengthening Congo’s institutions: removing barriers to competition,                          around the major
accelerating digital transformation, enhancing trade competitiveness                              challenge to
and diversification, and improving logistics. Some also aim to expand
key aspects of Congo’s physical capital: improving electricity supply,
                                                                                                  Congo’s long-
transport and ICT infrastructure for trade competitiveness, and                                   term prosperity
ecotourism development. A few areas of human capital (skills and labor                            — diversifying
market flexibility) are also the target of some policy recommendations,
in the areas of digital transformation, trade competitiveness, and
                                                                                                  its national asset
ecotourism. Natural capital, Congo’s most important source of wealth                              portfolio.
to date, warrants attention to foster a shift away from oil towards other
largely unexploited natural assets, in particular, safeguarding natural
heritage assets for ecotourism. Together, these policy options, which are
equally distributed between short and medium term priorities, can help
ensure a better balance between natural capital (natural resources),
produced capital (human and physical), and economic institutions (or
intangible assets).




TABLE ES1
Summary of policy options

             Removing barriers to competition by curbing SOE market power,
   1         by encouraging private sector participation in electricity and
             telecommunications, and by modernizing competition laws
                                                                                                                   PRIORITY

             •	 Modernize the competition legislative and institutional framework by amending
                Competition Law 6-94 to strengthen control of mergers and market power and by                    SHORT-TERM
                supporting a national competition authority.


             •	 Restrict creation of new SOEs, review the scope of existing SOEs, implement
                competitive neutrality principles to eliminate preferential treatment and promote               MEDIUM-TERM
                transparency by requiring audits.


             •	 Promote pro-competitive regulation in the electricity sector to support regular
                tariff review and transparency of subsidies and in the telecommunications
                                                                                                                MEDIUM-TERM
                sector to support transparent third-party access and the ability to set minimum
                consumer tariffs.




                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   23
Executive Summary




               Accelerating digital transformation by spurring private sector participation,
     2         providing regulatory and legal support, and building skills
                                                                                                          PRIORITY

               •	 Enhance the availability of affordable broadband access by fostering competition
                  in the fiber optic wholesale market and the international submarine cable market,      SHORT TO
                  encouraging infrastructure sharing, and adopting implementing decrees to the          MEDIUM-TERM
                  new public-private partnership law.



               •	 Increase use of digital financial services through new regulations for payment         SHORT TO
                  infrastructure and user protection and by digitalizing government payments.           MEDIUM-TERM



               •	 Improve digital skills supply through integration into the formal education system,
                                                                                                         SHORT TO
                  collaboration with and support from the private sector, skills gap analysis to        MEDIUM-TERM
                  design training programs, and sustainable financing through partnerships.


               •	 Improve the enabling environment for digital technology adoption and for high
                  growth technology-enabled businesses through implementation of the startup             SHORT TO
                  act, tax relief and credit guarantees, harmonization to regional regulation,          MEDIUM-TERM
                  digitalization of key public services, and targeted training programs.




               Improving the supply of reliable electricity by restoring profitability,
     3         invigorating regulation, and investing in transmission and distribution
                                                                                                          PRIORITY

               •	 Strengthen the legal and regulatory framework by reinforcing the capacity and
                  independence of the regulatory body, ARSEL, and clarifying the framework for          SHORT-TERM
                  independent generation through IPPs and mini-grids.


               •	 Improve the financial viability of the sector to allow for reinvestment and
                  improved quality of service by allowing power distribution company to charge           SHORT TO
                  cost recovery tariffs, install meters, and cut off customers for non-payment while    MEDIUM-TERM
                  protecting the most vulnerable customers.


               •	 Improve reliability through investment in transmission and distribution
                  infrastructure financed by development partners and the private sector and            MEDIUM-TERM
                  through rural initiatives such as mini-grids and solar home systems.




               Enhancing trade competitiveness and diversification by cutting tariffs,
     4         reviewing non-tariff measures, concluding AfCFTA negotiations, and
               strengthening local markets
                                                                                                          PRIORITY


               •	 Further reduce tariffs and enhance regulatory transparency including simplifying
                                                                                                        SHORT-TERM
                  rules of origin.



               •	 Collect and publish detailed data on non-tariff measures and improve accuracy of
                                                                                                        SHORT-TERM
                  customs data including through joint border control posts.



               •	 Conclude remaining negotiations in the AfCFTA on issues such as rules of origin
                                                                                                         SHORT TO
                  and ensure a swift implementation of the agreement, supporting greater GVC            MEDIUM-TERM
                  participation.


               •	 Mitigate negative impacts of trade by improving the business environment,
                  investing in transport and ICT hard and soft infrastructure, and speeding up labor    MEDIUM-TERM
                  market adjustment through training, relocation support, and social protection.




24   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                        Executive Summary




    Improving the efficiency of the logistics system by scrutinizing public-
5   private partnership contracts and adopting unified IT for maritime trade

                                                                                                          PRIORITY


    •	 Reviewing public-private partnership contracts for trade procedures to determine
                                                                                                        SHORT-TERM
       if contract conditions can be revised to reduce costs.



    •	 Move to a unified IT system in support of establishment of a Maritime Single
       Window as required under the FAL Convention (Convention on Facilitation of                      MEDIUM-TERM
       International Maritime Traffic).




    Supporting ecotourism development by regulating and funding to protect
6   natural assets, by strengthening government agencies, and by expanding
    transport infrastructure and marketing
                                                                                                          PRIORITY

    •	 Safeguard natural heritage assets: implement programs to reduce illegal hunting,
       fund and support wildlife protection authorities, limit industrial commercial                    SHORT-TERM
       forestry, and engage with local communities to reduce human-wildlife conflict.


    •	 Improve tourism governance from the Ministry of Tourism and Leisure (Ministere
       du Tourisme et des Loisirs) through improved leadership, sufficient resources,                   SHORT TO
       better coordination with the private sector and donors, and deeper knowledge                    MEDIUM-TERM
       of the sector.


    •	 Strengthen infrastructure and marketing via better international air linkages,
                                                                                                        SHORT TO
       improved road access, and collaboration with the private sector for better skills               MEDIUM-TERM
       and building a brand identity.




                                Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   25
26   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
© Highflierdolapo/Shutterstock.com




                                     CHAPTER 1

                                     Balancing
                                     Assets to Boost
                                     Long-Term
                                     Growth




                                        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   27
CHAPTER 1 Balancing Assets to Boost Long-Term Growth




1.1 The Republic of Congo is at a critical
juncture in its development history
The Republic of Congo’s seven-year recession led to a dramatic drop in income per capita and has
put the country at risk of falling back into low-income status. Following a period of high political instability
(including two civil wars in the 1990s), Congo managed to secure significant income per capita gains during
the early 2000s. However, economic activity in Congo (historically dependent on the oil sector) has been
shrinking since 2015 when the last commodity supercycle (2002-2014) ended. While the significantly growth
in per capita GNI during the oil boom helped Congo reach lower-middle income status in 2005 and near upper
middle income status in 2014 (Figure 1-a), the end of the oil boom drove a collapse in GNI per capita by more
than half between 2014 and 2020. Over that period, Congo experienced the second worst decline in real GDP
per capita among peer countries, after Equatorial Guinea (Figure 1-b).1 Congo’s real GDP per capita is now equal
to the levels of the early 1970s. Several countries, including commodity exporters such as Angola and Indonesia
that in the early 1990s had similar or lower GDP per capita (at purchasing power parity) than Congo, now have
substantially higher GDP per capita (Figure 1-c).


FIGURE 1
Gains in income per capita during the last oil boom have been lost

a. Congo GNI per capita (current US$), 1990-2020                                     b. Congo & Peers: Real GDP per capita growth (%),
                                                                                     average 2015-2020
5,000                                                                                  6.0
                                                                                       4.0
4,000
                                                                                       2.0
                                                                                       0.0
3,000
                                                                                      -2.0
                                                                                      -4.0
2,000
                                                                                      -6.0

1,000                                                                                 -8.0
                                                                                     -10.0
     0                                                                               -12.0
         1990     1995      2000       2005       2010      2015       2020
                                                                                             Eq. Guinea
                                                                                                          Congo
                                                                                                                  Angola
                                                                                                                           Chad
                                                                                                                                  Nigeria
                                                                                                                                            Botswana
                                                                                                                                                       Azerbaijan
                                                                                                                                                                    Gabon
                                                                                                                                                                            Mauritania
                                                                                                                                                                                         Cameroon
                                                                                                                                                                                                    Malaysia
                                                                                                                                                                                                               Ghana
                                                                                                                                                                                                                       CAR
                                                                                                                                                                                                                             Georgia
                                                                                                                                                                                                                                       Indonesia
                                                                                                                                                                                                                                                   Timor-Leste
                                                                                                                                                                                                                                                                 Vietnam




                    GNI per capita, Atlas method (current US$)
                    Lower middle income threshold (lower bound)
                    Lower middle income threshold (upper bound)


c. Congo & Peers: GDP per capita, (purchasing power parity constant 2017 international $), 1990 & 2020

14,000

12,000

10,000

 8,000

 6,000

 4,000

 2,000

         0
                Angola               Congo               Mauritania             Indonesia                             Nigeria                                               Ghana                                             Vietnam

                                                                             1990         2020
Source: WDI. June 2022.




1
  Throughout this report, Congo’s regional peers are Angola, Cameroon, Ghana, and Nigeria; its structural peers are Azerbaijan, Iraq, Mauritania, and Timor-Leste;
and its aspirational peers are Indonesia, Malaysia, and Vietnam. Depending on data availability, sub-sets or alternate comparators are sometimes used.




28       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                       CHAPTER 1 Balancing Assets to Boost Long-Term Growth




The COVID-19 crisis was another setback for Congo’s recovery from the
ending of the last oil boom, prolonging the economic recession that                                                         The protracted
started in 2015. Because of the COVID-19 pandemic, the Congolese economy                                                    economic
shrunk by 6.2 percent in 2020 (see Box 1). While most countries worldwide
                                                                                                                            recession has
partially recovered from the pandemic in 2021, Congo’s economy is estimated
to have further contracted by 2.2 percent despite the recovery in oil prices. 2                                             translated
This ongoing recession has translated into a reversal of long-term progress                                                 into a reversal
in poverty reduction, with poverty rates (using the international poverty line
                                                                                                                            of long-term
of $1.90 a day) estimated at 53.3 percent in 2021 compared to 39.6 percent
in 2011 (and approaching the 2005 poverty rate of 55.1 percent). Despite the                                                progress
adoption of a “resilience plan” in June 2022 to mitigate the impact of the war                                              in poverty
on Ukraine on Congo, poverty could be further exacerbated as a result of the
                                                                                                                            reduction.
effects of rising food prices on the most vulnerable (see Box 2).




    BOX 1



       The economic impact of COVID-19 in Congo has been
       substantial: Collapse in oil revenue, shortages of
       imports and depressed domestic demand, and fiscal
       imbalances

       The COVID-19 pandemic has impacted the Congolese economy through various channels. 3
       First, growth was undermined by lower global demand for oil (in the initial phase of the pandemic),
       lower oil production following the decision by OPEC members (which include Congo) to cut
       production, and the disruption of Congolese oil production from COVID-19 containment measures.
       Second, economic activity was harmed by global trade disruptions, which reduced availability of
       products and pushed up food and transport prices in domestic markets. Third, the economy was
       affected by local pandemic restrictions that led to a drop in domestic demand and labor supply.


       The COVID -19 pandemic undercut the economy’s performance in 2020, resulting in a
       contraction of 6.2 percent of GDP, the sharpest among Central African Economic and Monetary
       Community (CEMAC) countries. Despite the gradual lifting of containment measures, economic
       growth continued to shrink in 2021 driven by the underperformance of the oil sector. The pandemic-
       related global crisis also had a strong negative impact on Congo’s fiscal balance in 2020. With the
       plunge in oil prices and oil production and broadly unchanged public expenditure, the overall fiscal
       balance recorded a deficit of 2.4 percent of GDP in 2020 (against a surplus of 3.4 percent in 2019).
       The impact on businesses was also significant due to the sharp drop in domestic demand, with most
       firms experiencing a decrease in sales revenue in 2020. Firms responded to the pandemic shock by
       laying off workers, reducing working hours and cutting wages. The pandemic also delayed private
       sector investment spending, with 40 percent of firms reporting canceling investment in equipment
       in 2020.




2
 Despite higher oil prices and increased global demand, oil production declined in 2021 due to postponed investments by oil companies, maturing oil fields, and
technical challenges.
3
 As of May 2022, there were about 24 thousand confirmed cases, 385 deaths, and just under 12.4 percent of the population vaccinated.




                                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification             29
CHAPTER 1 Balancing Assets to Boost Long-Term Growth




     BOX 2




                                                                                                                  © Valdhy Mbemba/unsplash.com
      The impact of the war on Ukraine in Congo: More
      expensive food, high oil prices, and potential debt
      pressures

      The direct impact of a prolonged war on Ukraine is likely to be contained in Congo, but the indirect
      impact through higher commodity prices would add to already existing high inflationary pressures.
      Russia and Ukraine account for less than three percent of Congo’s total imports, but significant
      shortages and supply chain disruptions of wheat are a possibility since close to 70 percent of Congo’s
      wheat consumption is imported from Russia. Overall, the crisis is projected to continue rising further
      international agricultural prices, which could result in higher domestic inflation, lower household
      real incomes, and an increase in the poverty rate (since food accounts for about 30 percent of
      Congo’s merchandise imports, and the country imports close to 70 percent of its domestic food
      consumption).


      On the other hand, oil prices are also expected to remain high, providing a windfall of fiscal and
      export revenues and potentially strengthening the economic recovery. Strong energy prices will also
      support a faster than anticipated decrease of the debt stock as debt repayments are tied to oil prices
      owing to agreements with oil traders. However, higher oil prices would also lead to some additional
      fiscal costs due to higher fuel subsidies.


      Finally, risks related to stronger tightening of BEAC’s monetary policy to respond to rising inflationary
      pressures, as well as higher risk premia in financial markets (owing to continuous tightening of
      monetary policy in high income countries) could undermine economic recovery and possibly increase
      debt vulnerabilities.




30    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                CHAPTER 1 Balancing Assets to Boost Long-Term Growth




Congo has made little progress in reducing the dominant role of the hydrocarbon sector in the economy
and diversifying its productive base to industries with a higher labor content. For the last 15 years, the share
of the hydrocarbon sector in the economy has remained roughly unchanged (Figure 2-a), fluctuating around
an average of 42 percent of GDP. During the same period, agriculture, forestry, and fishing represented about
six percent of GDP, despite the sector’s large potential for development (see section 1.2.1). The manufacturing
sector, which is mostly small-scale, has broadly stayed unchanged, at an average of 6.5 percent of GDP over the
same period, while services remained the economy’s second largest sector of economic activity with 33 percent
of GDP. The industry sector, dominated by the hydrocarbon sector, employs only a very small percentage of the
labor force (Figure 2-b).



FIGURE 2
The hydrocarbon sector plays a dominant role in the economy but offers fewer employment
opportunities

a. Sectoral shares in total GDP (in % of GDP)                                                              b. Employment shares (average, % of total employment)

100                                                                                                        50

                                                                                                           45
    80
                                                                                                           40
    60
                                                                                                           35
    40
                                                                                                           30

    20                                                                                                     25

                                                                                                           20
     0
                                                                                                           15
         2006

                2007

                       2008

                              2009

                                     2010

                                            2011

                                                   2012

                                                          2013

                                                                 2014

                                                                        2015

                                                                               2016

                                                                                      2017

                                                                                             2018

                                                                                                    2019




                                                                                                           10
                Other market services
                Banks and Insurance                                                                         5
                Hotels, bars and restaurants
                                                                                                            0
                Transport and Communications
                Other Industry (excluding Construction and Extractives)                                              Agriculture            Industry               Services
                Extractives
                Construction
                Agriculture, Forestry, and Fishing                                                                                   2006-2014         2015-2020

Source: Congolese authorities. June 2022.                                                                  Source: WDI. June 2022.




Unsurprisingly, the hydrocarbon sector, through its direct and indirect impact on the economy, has
been the main driver of economic growth in Congo. 4 The extractive sector, specifically oil production, has
been a key contributor to Congo’s growth for at least the last 15 years (Figure 3-a). The service and construction
sectors also significantly contributed to growth; however, their performance is closely tied to the activity of the
hydrocarbon sector, directly and indirectly, financed by oil revenues. This tendency is evident during the post-
oil price boom period, when both sectors plummeted. More generally, the non-oil sector has been unable to
grow since the end of the last oil boom, exposing the high dependence of Congo’s economy on the oil sector.
The same tendency holds for the expenditure side, where growth has been driven by private investment mostly
directed to the oil sector and related services (e.g., professional services) and by public investment directed to
the construction sector, financed mostly by oil rents (Figure 3-b). Because of oil price volatility, dependency
on the oil sector has translated into high GDP growth volatility which, in turn, undermines long term economic
growth prospects and poverty reduction. 5




4
  In the 1990s, large political shocks (including civil wars) were another driver of Congo economic performance. However, in recent years, these types of shocks
were limited (with perhaps the exception of the 2015 pool rebellion’s conflict).
5
  The literature finds that high output volatility has negative effects on long-term growth as it can depress investment (and bias it towards short-term returns), and
it is also associated with lower investment in human capital (Hnatkovska, 2004; Calderón, 2009).




                                                                           Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification          31
CHAPTER 1 Balancing Assets to Boost Long-Term Growth




FIGURE 3
The oil sector remains the major driver of economic growth in Congo
a. Sectoral contributions to GDP growth (% points), 2016-2020                                                      b. Expenditures contributions to GDP growth (% points), 2015-2020

20                                                                                                                  60

                                                                                                                    40
10
                                                                                                                    20

  0                                                                                                                  0

                                                                                                                   -20
-10
                                                                                                                   -40

-20                                                                                                                -60
        2006
               2007
                      2008
                             2009
                                    2010
                                           2011
                                                  2012
                                                         2013
                                                                2014
                                                                       2015
                                                                              2016
                                                                                     2017
                                                                                            2018
                                                                                                   2019
                                                                                                          2020




                                                                                                                         2006
                                                                                                                                2007
                                                                                                                                       2008
                                                                                                                                              2009
                                                                                                                                                     2010
                                                                                                                                                            2011
                                                                                                                                                                   2012
                                                                                                                                                                          2013
                                                                                                                                                                                 2014
                                                                                                                                                                                        2015
                                                                                                                                                                                               2016
                                                                                                                                                                                                      2017
                                                                                                                                                                                                             2018
                                                                                                                                                                                                                    2019
                                                                                                                                                                                                                           2020
           Services                                                                                                                                         Final Consumption
           Other Industry (excluding construction and extractives)                                                                                          Net Exports
           Extractives                                                                                                                                      Investment
           Construction                                                                                                                                     Real GDP Growth
           Agriculture, forestry, and shing
           Real GDP Growth


Source: Congolese authorities. June 2022.




Labor productivity has been falling, yet boosting the growth of income per capita requires rising labor
productivity. Despite some structural changes reflecting the movement of workers from low productivity
sectors (agriculture) to higher productivity sectors (industry and services), the country’s labor productivity has
decreased over the last 15 years, driving Congo’s loss in per capita income growth (Figure 4-a). The steepest
decline in overall labor productivity happened after the end of the previous oil boom due to a fall in labor
productivity in the services and industry sectors (Figure 4-b). Low productivity limits diversification since
industries with unproductive firms are less competitive and fail to develop (see Chapter 2).



FIGURE 4
Falling output per employee drives Congo’s loss in income per capita, especially in industry
and services

a. Congo & Peers: Annual contribution to growth of value added per capita (average 2005-2019)




Aspirational Peers




     Structural Peers




                Congo



                             -3                      -2                        -1                         0              1                       2                         3                          4                       5

                                      Productivity                        Employment rate                        Participation rate                     Demographic change



b. Congo: Change in labor productivity relative to 2005 (%)

120

110
32      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
100

 90
            Congo


                                                                                               CHAPTER 1 Balancing Assets to Boost Long-Term Growth
                    -3                -2                       -1              0                1          2            3             4           5

                            Productivity                Employment rate                 Participation rate           Demographic change



b. Congo: Change in labor productivity relative to 2005 (%)

120

110

100

    90

    80

    70

    60

    50
          2005



                     2006



                               2007



                                           2008



                                                        2009



                                                                     2010



                                                                              2011



                                                                                        2012



                                                                                                  2013



                                                                                                              2014



                                                                                                                     2015



                                                                                                                              2016



                                                                                                                                      2017



                                                                                                                                               2018



                                                                                                                                                           2019
                                                  Agriculture                Industry              Services             Overall


Source: WDI and World Bank staff calculations. June 2022.




Congo’s current development model is unlikely to deliver sustainable economic growth and productive
jobs going forward. The government’s motivation to take on the bold structural reforms needed to push
Congo towards upper middle-income status has typically waned during times of oil windfalls. Importantly,
going forward, Congo’s current economic model—dependent on the oil sector—is unlikely to deliver even the
volatile economic growth of the past, challenged by the current uncertain global context, projected depletion
of Congo’s oil reserves, and the global transition to a low carbon economy (see Section 1.2.1). In addition to the
unsustainability of overall growth, an oil-based economy provides few opportunities for job creation due to the
low labor content of the hydrocarbon industry. Indeed, the great majority of the Congolese population cannot
find a job in the formal economy, with about three quarters of the Congolese workforce (including most youth)
employed in the informal sector, either self-employed or in low productivity jobs.6


The Congolese government’s new National Development Plan (Plan National de Développement, PND)
for 2022-26 lays out steps for a more diversified and inclusive growth model. To reverse flagging GDP
growth, Congo adopted early this year a new PND for 2022-26. The PND aims to build a strong, resilient, and
diversified economy for sustainable and inclusive development and is articulated around six strategic areas:
the development of agriculture and agroforestry, industry, tourism, digital economy, real estate, and special
economic zones. It also identifies peace and political stability, governance, the business environment, and
environmental protection as four cross-cutting areas that will support successful implementation. In addition,
the recent endorsement of the CEMAC Heads of State reform agenda focused on diversification offers a new
opportunity to push forward policies to transition to a more sustainable economic development model. Indeed,
at their most recent exceptional summit (August 2021), the CEMAC Heads of State endorsed an agenda of
structural reforms to address the root cause of the region’s vulnerability: the over-reliance on the hydrocarbon
sector.7


The success of the new PND will, however, depend on strong macro-fiscal management and commitment
to implement bold structural reforms. The PND offers a good opportunity to transform Congo’s economy
and boost inclusive and sustainable development. Its successful implementation is conditional, however, on the
ability of the government to mobilize financing (in a context of already high debt levels and strong uncertainty
about the country’s oil production and economic recovery), improve public finance management and efficiency
of public investment, 8 and implement effectively structural reforms to improve the business environment and


6
  World Bank (2018).
7
  Specific reforms were endorsed in the area of governance (including public financial management, public investment management, tax and customs administration,
and SOE management), business climate, financial sector development (including digital sector), and human capital and skills accumulation to support private
sector development.
8
  Indeed, the large investment program of the early 2010s was not translated into economic growth, partly reflecting weaknesses in planning, selection, and
execution of projects.




                                                               Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification          33
CHAPTER 1 Balancing Assets to Boost Long-Term Growth




attract private investment (Section 1.2.3). Estimates suggest that the implementation of the new PND would
require a massive investment program of CFAF 8.9 trillion (about US$ 15.5 billion) where 45 percent of the
financing is hoped to come from the public sector and the remaining 55 percent from the private sector.


The next sections of this chapter follow the analytic framework of the “Diversified Development” report
(World Bank, 2014) to assess why Congo’s vast endowment of natural resources has not delivered
higher growth and to inform the implementation of the government’s PND. Diversification can be measured
in many ways, including through exports, products, and assets. The “Diversified Development” framework
argues that the diversification of an economy should be measured through three types of assets: natural
capital, produced capital (physical and human), and institutions. The rest of this chapter follows the “Diversified
Development” framework and takes stock of Congo’s current asset endowment base. It finds that Congo remains
dependent on non-renewable natural resources, but the country’s ability to manage natural resource rents is
limited (Section 1.2.1). Dependency on volatile oil rents limits the government’s capacity to manage public
investment in key public infrastructure (and infrastructure maintenance). As a result, Congo’s infrastructure
remains insufficient in coverage and quality and limits the country’s ability to crowd in private investment
and provide public services (Section 1.2.2). Human capital outcomes, which depend on the state’s effective
provision of social services, are low and a key constraint on productivity and the country’s ability to diversify
(Section 1.2.2). To achieve more diversified development, Congo needs to strengthen the quality of its policies
and institutions, or “intangible capital”, which have been deteriorating (Section 1.2.3). Indeed, the mechanisms
to manage volatile resource earnings, provide high quality social services, and administer public spending as
well as regulate the domestic market can only emerge from effective and enabling institutions. These, in turn,
support macroeconomic stability and resilience to shocks, expanded private investment, and the acceleration
of the country’s economic diversification.




1.2 Sustainable development will require
dramatic action to diversify assets
Congo remains far from achieving a diversified asset portfolio. A country’s assets can be classified into
three categories (Figure 5): first, natural resources, in the form of minerals, arable land, forests and water
resources; second, produced capital, which consists of both physical and human capital in the form of supporting
infrastructure and a healthy and skilled labor force; and third, intangible assets or institutions, which comprise
regulations and mechanisms that a country has to manage resource rents and provide social services. In the
case of Congo, natural capital has historically been the country’s largest asset and source of wealth, at about
40 percent of the total capital wealth since 1995 (Figure 6). This pattern suggests that other forms of assets—
including produced capital—have not been growing, a pattern quite different from Congo’s aspirational peers
such as Botswana and Malaysia (see Box 3 and 4).


Congo’s concentrated asset portfolio suggests that the country has been exploiting its natural capital
endowments without building other sources of wealth. Changes in country wealth can be illuminated by
adjusted net savings, measured as gross national savings (or gross investment, given the savings-investment
identity) minus depreciation of produced capital, depletion of subsoil assets (fossil fuels and minerals) and
timber resources, and air pollution damages to human health, plus a credit for expenditures on education. 9
Positive adjusted net savings indicates that savings/investment plus expenditures on education (a proxy for
human capital) are higher than the exploitation of natural resources, meaning that the country is accumulating
assets and wealth. In contrast, Congo’s adjusted net savings have been mostly negative over the past decades,
indicating that the country has been depleting its natural resources without converting enough of its natural
resource revenues into other forms of capital, thereby not adding to its wealth (see Figure 7-a). Congo’s adjusted
net savings was negative even during the previous oil boom, a very weak performance compared to peers (see
Figure 7-b).



9
    See World Bank (2021), Changing of Wealth of Nations.




34       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                   CHAPTER 1 Balancing Assets to Boost Long-Term Growth




FIGURE 5
Framework of Asset Diversification

                                                                                                                                                                               PHYSICAL
                                                                                                                                                                               CAPITAL
                     NATURAL                                                               PRODUCED
                     CAPITAL                                                               CAPITAL
                                                                                                                                                                               HUMAN
                                                                                                                                                                               CAPITAL



                                                                                     INSTITUTIONS




FIGURE 6
Natural capital remains Congo’s greatest asset
Congo & Peers: Natural Capital Wealth (% of Total Capital Wealth)

45
40
35
30
25
20
15
10
 5
 0
           1995                               2000                           2005                           2010                                          2015                                  2018

                                                 Congo                      Botswana               Malaysia                                Indonesia

Source: World Bank (2021), Changing of Wealth of Nations. June 2022.




FIGURE 7
Congo has been depleting its natural capital endowments without adding to its wealth
a. Congo: Adjusted net savings subcomponents (% of GNI)                                       b. Congo & Peers: Adjusted net savings, including particulate
                                                                                              emission damage (% of GNI, average 2006-2016)
100                                                                                           30

                                                                                              25
  50
                                                                                              20
     0
                                                                                              15


 -50                                                                                          10

                                                                                               5
-100
                                                                                               0
           2006

                  2007

                         2008

                                2009

                                       2010

                                                2011

                                                       2012

                                                              2013

                                                                     2014

                                                                             2015

                                                                                    2016




                                                                                              -5
         Gross savings                                 CFC
                                                                                                     Botswana

                                                                                                                Mauritania

                                                                                                                             Malaysia

                                                                                                                                        Vietnam

                                                                                                                                                  Indonesia

                                                                                                                                                              Nigeria

                                                                                                                                                                        Cameroon

                                                                                                                                                                                   Ghana

                                                                                                                                                                                           Angola

                                                                                                                                                                                                    Congo




         Particulate emission damage                   Carbon dioxide damage
         Natural resources depletion                   Net national savings
         Education expenditure


Note: CFC is consumption of fixed capital.
Source: World Bank (2021), Changing of Wealth of Nations. June 2022.




                                                                Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                                               35
CHAPTER 1 Balancing Assets to Boost Long-Term Growth




1.2.1 Natural resources have been central for Congo’s
growth, but they go beyond oil and must be managed
better

Out of its great natural resource wealth, Congo has so far only exploited oil
Congo has a variety of natural resources. The country’s stock of natural wealth was estimated at US$14,670
per capita in 2018, which is larger than the average in Sub-Saharan Africa (SSA) (US$5,128 per capita) and the
average for lower-middle income countries (US$6,316 per capita).10


The exploitation of natural resources in Congo has been focused on oil and carried out by international
oil companies. Congo is the third largest oil producer in SSA behind Nigeria and Angola and ahead of Gabon
and Equatorial Guinea11 (Figure 8-a). Production is sourced from 18 offshore and onshore blocks, with proven
reserves reaching 2.9 billion barrels as of 2020, just behind Angola and Nigeria in SSA. Over the past three
years, Congo exported about 109 thousand barrels per day of crude oil on average. Most of its oil exports went
to the Asia-Pacific region, with China importing approximately 65 percent of total oil exports in 2020. The
National Oil Company of Congo (Société Nationale des Pétroles du Congo, SNPC) manages the government-
controlled shares of the country’s crude oil fields resulting from production sharing contracts, and its production
accounts for about ten percent of the country’s total over the past three years.12 Thus, the overwhelming
part of production is carried on by international oil companies, with Total Energies, a French company, alone
accounting for 60 percent of the country’s total oil production.13


FIGURE 8
Congo’s oil production and oil exports are significant
a. Congo & Peers: Oil Production (avg. 2015-2020; thousand                               b. Congo: Oil Exports (% of total exports)
barrels daily)
                                                                                         100
            Nigeria

                                                                                          80
            Angola


             Congo                                                                        60


             Gabon                                                                        40


Equatorial Guinea
                                                                                          20

               Chad
                                                                                            0
                                                                                                2010

                                                                                                       2011

                                                                                                              2012

                                                                                                                       2013

                                                                                                                              2014

                                                                                                                                     2015

                                                                                                                                             2016

                                                                                                                                                    2017

                                                                                                                                                           2018

                                                                                                                                                                  2019

                                                                                                                                                                         2020




                      0         500       1000       1500      2000       2500


                                                                                                                     Oil Exports            Other Exports

Source: Statistical Review of World Energy - BP. June 2022.




10
   The stock of natural wealth is calculated by the World Bank’s Changing Wealth of Nations flagship (along with the calculation of produced capital and human
capital) and includes the valuation of renewable and nonrenewable natural capital.
11
   BP (2021), World Energy Statistics Report (70th edition).
12
   SNPC is also active—directly or in partnership with other companies—in the exploration and exploitation of oil fields (World Bank, 2022).
13
   A significant amount of Congo’s natural gas associated with oil production is flared with a flaring intensity of 17.31 cu m. per barrel (or 1,522 million cu m. flaring
volume per year), which is higher than that of Angola (at 4.07 cu m.), Nigeria (11.1 cu m.) and Equatorial Guinea (8.03 cu m.), and only below that of Gabon 23.16 cu
m (see World Bank’s Global Gas Flaring Tracker. https://www.worldbank.org/en/programs/gasflaringreduction/global-flaring-data). Congo could instead liquify
and store the gas, providing a complementary energy source to be used industrially or domestically, or export it, as prices and demand for liquefied natural gas
are likely to remain high (as natural gas is seen as a key part of the global transition to low carbon energy).




36     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                         CHAPTER 1 Balancing Assets to Boost Long-Term Growth




Congo’s oil production is expected to decline in the medium term due to local supply issues and face
likely falling demand over the long-term from the global transition to a low-carbon economy. After a
declining trend since 2011, oil production started to rise in 2016 thanks to the N’Kossa Marine offshore fields.
However, in the absence of new discoveries,14 Congo’s production is already set to peak in 2024 and then
decline and remain stable from 2040 at 60 percent of peak production as a result of field maturation and a
slowdown in upstream development.15 Besides, while oil will likely remain an important energy source for the
next few decades, the transition to a low-carbon economy is expected to reduce global oil demand permanently
from around 2040.


Congo also has a significant stock of other hydrocarbon resources
and strong mining potential, but these remain underdeveloped.
Congo has the fifth largest proven natural gas reserves in SSA with 284
billion standard cubic meters (cu. m.), but production is relatively modest
at 405 million cu. m. as of 2020).16 Scaling up gas production has been                                                The efficient
hindered by the lack of supporting transport infrastructure. Further, the
sector suffers from an absence of a sufficient domestic market for gas
                                                                                                                       exploitation of
(both current and potential given the small domestic market size), and an                                              natural renewable
appropriate legal, regulatory, and upstream contractual structure (e.g.,                                               capital would
concession agreements and production sharing agreements). As part of
Europe’s effort to decrease its dependency on Russian natural gas, Congo
                                                                                                                       require policies
signed an agreement in 2022 with an Italian hydrocarbon company which                                                  to enhance the
will scale up production capacity to as much as 4.5 billion cu. m. per year.                                           productivity of
Developing liquefied natural gas facilities and floating platforms has the
potential to boost the production and export capacity of the country
                                                                                                                       the forestry and
significantly. There is also a substantial mining potential in Congo, with                                             agriculture sector.
known reserves of iron (25 billion tons), potash (3.2 billion tons), copper
(2.2 million tons), and phosphate (532 million tons), but the sector remains
underdeveloped, with polymetallic ore constituting the bulk of mining
production and accounting for only 0.8 percent of GDP in 2019.17

Natural renewable capital, including forests and arable land for agriculture, are also abundant but
remain unexploited.18 Congo’s natural forests, which cover about 61 percent of the country’s surface or about 22
million hectares, represent Africa’s third largest forest area. The sector lacks transparency in revenue collection,
and illegal logging and unregulated forest exploration are significant, with informal production at about 20 to
30 percent of total timber production. Importantly, about one-quarter of Congo’s primary forest sits atop the
Congo peatlands, preservation of which is critical to avoid massive release of stored carbon. While the timber
and timber-related industry have doubled since 2000, the objectives of sustainable forest management and
preservation of peatlands limit the commercial potential of Congo’s forests. In addition to forestry, Congo has a
substantial food and cash crop potential, with an endowment of ten million hectares of arable land, equivalent
to 31 percent of the country’s land area, 90 percent of which is unexploited. Overall, the efficient exploitation
of natural renewable capital would require policies to enhance the productivity of the forestry and agriculture
sectors. These would likely include improving the business environment (including through stable electricity
and transport infrastructure, and easing import and export procedures), enhancing the skills of the labor force,
and supporting private sector initiatives.19




14
   Current high oil prices are increasing oil investment profitability and may attract new investments in the field, which will increase the likelihood of new oil
discoveries.
15
   IMF (2021).
16
   By comparison, Nigeria produced 49,947 million cu. m., Angola 11,313, and Equatorial Guinea 6,023 in 2020 (2020 OPEC Annual Statistical Bulletin).
17
   World Bank (2022).
18
   World Bank (2018).
19
   World Bank (2018).




                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification               37
 CHAPTER 1 Balancing Assets to Boost Long-Term Growth




 Oil revenue is critical for government finances, but collection falls short
 Congo remains heavily dependent on oil revenues, which are highly volatile due to large swings in oil
 prices and production (Figure 9). In the years before the end of the last oil boom (2009-2014), oil revenues
 reached 71.9 percent of total government revenues. With the drop in oil prices, this percentage decreased but
 remained substantial, averaging 60.4 percent of total government revenues during 2018-2020. Volatility in oil
 revenues is driven not only by international oil price cycles (which have historically presented large swings) but
 also by large variations in domestic oil production due to the interplay of maturing oil fields, new development,
 and temporary factors, most recently restrictions on oil field access due to containment measures adopted to
 limit the spread of the COVID-19 virus.



 FIGURE 9
 Oil dominates Congo’s government revenues

 Congo: Oil and non-oil revenue (% of GDP), 2009-2020

                 40                                                                                                                                   120

                 35                                                                                                                                   105

                 30                                                                                                                                   90
Percent of GDP




                 25                                                                                                                                   75




                                                                                                                                                            USD
                 20                                                                                                                                   60

                 15                                                                                                                                   45

                 10                                                                                                                                   30

                 5                                                                                                                                    15

                 0                                                                                                                                    0
                           2010       2011        2012         2013      2014          2015           2016     2017      2018           2019   2020

                                                 Oil revenue           Non oil revenue                Grants          Oil price (rhs)


 Source: Congolese authorities, IMF and World Bank staff estimates. June 2022.




 Despite oil exports’ high contribution to total revenue collection, the capacity of the government to
 collect oil revenues in Congo is low when compared to peers. Hydrocarbon revenues as a percentage of
 oil rents are mostly below peers (see Figure 10-b). Also, Congo collects fewer revenues per dollar exported
 compared to most peers. Indeed, Congo managed to collect only US$ 0.31 in 2019 compared, for instance,
 to Cameroon which collected US$ 0.46 that same year (see Figure 10-a). Discrepancies in oil trade statistics
 suggest that oil exports have been underreported, implying a revenue loss to the government. Indeed, trade
 data from COMTRADE suggests irregular reporting of oil receipts, with differences in both value and volume of
 exports between oil import data reported by Congo’s trading partners and Congo’s own export data. 20 These
 discrepancies suggest under-reporting and under-valuation of Congo’s exports by oil companies to reduce
 their reported profit and avoid taxes. 21 It may also partly originate from a lack of coordination and information
 sharing across government units on export statistics. The past two Extractive Industries Transparency Initiative
 (EITI) reports (2018 and 2019) identify significant potential revenue losses amounting to about one percent of
 GDP per year.




 20
          World Bank (2022).
 21
          See Ferrantino et al. (2012), Chalendard et al. (2016) for examples from other countries.




 38                   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                   CHAPTER 1 Balancing Assets to Boost Long-Term Growth




Congo’s relatively weak performance in collecting oil revenue suggests that there is room to negotiate
better oil production sharing deals and, most importantly, that the new Hydrocarbon Code has not
been fully enforced. For instance, the decrease of the “Cost Stop” (maximum amount of oil produced that can
be allocated to cost recovery by the oil company) from 60 percent in the 1994 Hydrocarbon Code to 50 percent
in the 2016 Hydrocarbon Code, contrasts with the actual “Cost Stop” that several companies are practicing,
which stood at an average close to 70 percent of production during 2018-2021. Also, the threshold on the share
of the State’s “Profit Oil” (the part of the profit that goes to the government at no less than 35 percent in the
2016 Hydrocarbon Code) is not applied in most cases. 22


The government’s share of oil rent could also be increased through the implementation of key structural
and governance reforms as well as through capacity building. Policies aiming to improve the business
environment, reduce corruption, and lower political risks would decrease the risk for investors of exploiting oil
in Congo. This would allow the government to negotiate a larger share of the oil rent in future contracts. The
country would also benefit from an improvement in transparency and dissemination of oil revenue data, as well
as undertaking EITI corrective actions to ensure proper management of oil resources. 23 In addition, the practice
of borrowing against future oil production should be prohibited, as it results in substantial revenue losses
for the State. 24 Finally, improving Congolese contractual negotiation capabilities and market intelligence will
allow the authorities to reduce information asymmetry, have better investment and operating costs estimates,
and consequently negotiate and secure a fair government share. In particular, the improvement of oil market
knowledge—oil prices and costs—should allow the country to avoid selling oil at minimum market prices. 25



FIGURE 10
Congo’s share of oil rents could be higher and lags that of peers

a. Government revenues per dollar of oil exports (2019)                                         b. Congo & Peers: Government share of the hydrocarbon rents
                                                                                                (2019), Hydrocarbon revenues (% rents)

0.50                                                                                            100
0.45                                                                                             90
0.40                                                                                             80
0.35                                                                                             70
0.30                                                                                             60
0.25                                                                                             50
0.20                                                                                             40
0.15                                                                                             30
0.10                                                                                             20
0.05                                                                                             10
     0                                                                                            0
          Chad


                    Gabon


                               Congo


                                         Angola


                                                   Nigeria


                                                                 Equatorial Guinea


                                                                                     Cameroon




                                                                                                        Chad


                                                                                                               Gabon


                                                                                                                       Congo


                                                                                                                               Angola


                                                                                                                                         Nigeria


                                                                                                                                                    Equatorial Guinea


                                                                                                                                                                        Cameroon




Source: Congolese authorities, EITI, IMF and World Bank staff estimates. June 2022.




22
   See World Bank (2022) for more details.
23
   For instance, accelerate the publication of the implementing texts of the 2016-28 Hydrocarbons Code). See EITI (2019) for an extensive overview of the
recommendations and the monitoring of the implementation of the previous recommendations.
24
   Instances of these types of contracts include the pre-financing agreement with the oil trade company Gunvor which led to a gain-loss to the government of
around $US 1.45 billion. The company obtained the right to exports oil worth $US 2.2 billion (without a bidding process) against six pre-financing of $US 125 million
each to the SNPC or a total of $US 750 million.
25
   The national company sells the State’s share of oil months before production and must, therefore, accept a discount to cover the buyer’s risk.




                                                             Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                             39
CHAPTER 1 Balancing Assets to Boost Long-Term Growth




1.2.2 Insufficient, volatile, and inefficient investment in
produced capital has left Congo with both low human
capital and gaps in infrastructure


Underinvestment in human capital limits the productivity of the
workforce, constraining Congo’s economic growth

The drawdown of Congo’s oil resources has not supported the accumulation of human capital. While
Congo’s health expenditure grew from just over one percent of GDP in 2010 to two percent on average during
2016-20, its current public health spending lags that of SSA countries and peer countries (Figure 11-a). Unlike
health, education expenditure saw a decline since the end of the oil boom, with spending on education declining
from a peak of 3.6 percent of GDP in 2014 to 2.5 percent in 2019, reflecting cuts in education-related investment
and a hiring freeze for teachers during 2015-2019. Aggregate human capital expenditures also recorded the
lowest budget execution rates among spending categories in Congo, with public spending on education, health,
and social protection often under-executed (with an average execution rate of 83.3 percent over 2009-2014 and
80.0 percent after the end of the oil boom).

Congo lags behind on human capital, especially compared to aspirational peers such as Malaysia. The
2020 Human Capital Index (HCI), which classifies countries according to learning and health outcomes, gives
Congo a score of 0.42 (see Figure 11-b), reflecting minimal progress since 2010 when its score was 0.41. Such
a low score implies that Congolese children born today will only achieve about 42 percent of the productivity
that they could have achieved as future workers at the age of 18 had they benefitted from complete education
and full health. This outcome is low compared to both the SSA average (at 0.6 in 2020) and that of aspirational
peers. For example, Malaysia, with an HCI score of 0.6, appears to have been more efficient in converting its
natural resource rents into human capital by investing in its social sectors. In particular, the Malaysia state oil
company contributes directly to the building of human capital in the country through training and vocational
programs as well as direct funding to a national research and development fund (see the Malaysia country case
in Box 3).


Furthermore, Congo’s low quality of education limits the country’s ability to take full advantage of its
labor force, including in the development of the digital sector. When adjusted for the quality of learning,
the registered 8.9 years of school of Congolese students turns out to be only equivalent to 5.3 years, which
constitutes a learning gap of 3.6 years (Figure 11-b). The low percentage of graduates from science, technology,
engineering, and mathematics programs in tertiary education is likely one of the causes of the country’s low
adoption of information and communications technologies (ICT)(see Chapter 4 for more details). 26
                                                                                                                                                           © Elise Vanormelingen/World Bank




26
   Blimpo and Owusu (2020) findings suggest that Africa’s ICT low performances are partly explained by the poor quality and quantity of math and science
education as well as the insufficient availability of scientists and engineers.




40    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                              CHAPTER 1 Balancing Assets to Boost Long-Term Growth




FIGURE 11
Inadequate human capital outcomes are accompanied by low and inefficient social sector
spending
a. Congo & Peers: Government spending on Education and Health                           b. Congo & Peers: HCI and Learning-Adjusted Years of School
(% of GDP, 2010-2019 average)
                                                                                        0.7                                                                                 10
      Congo                                                                             0.6
                                                                                                                                                                            8
   Botswana                                                                             0.5

                                                                                        0.4                                                                                 6
    Malaysia
                                                                                        0.3                                                                                 4
   Indonesia                                                                            0.2
                                                                                                                                                                            2
Timor-Leste                                                                             0.1

                                                                                          0                                                                                 0
 Mauritania




                                                                                                 Mauritania


                                                                                                              Botswana


                                                                                                                         Congo


                                                                                                                                 Timor-Leste


                                                                                                                                               Indonesia


                                                                                                                                                           SSA


                                                                                                                                                                 Malaysia
         SSA

               0            2           4           6           8           10
                     Public expenditure on education                                                           Human Capital Index 2020 (lhs)
                     Public expenditure on health                                                              Learning adjusted years of schooling (rhs)

Source: WDI and HCI (2020). June 2022.




    BOX 3



       State oil company contribution to building human
       capital: Lessons from Malaysia

       Malaysia’s state-owned oil company, Petronas, which has the exclusive rights to exploit the
       country’s oil and gas resources, plays a significant role in the development of local skills.
       In addition to including training requirements in production sharing agreements (signed between
       Petronas and other operators), Petronas also directly provides world-class educational and training
       services through various educational institutions (e.g., Universiti Teknologi Petronas). 27 Petronas also
       established the Petronas Management training center, to provide a range of technical, management,
       and competency development programs (e.g., Akademi Laut Malaysia maritime training center for
       maritime-related activities).


       Petronas’s contribution to building local skills and human capital is also accomplished through
       direct support to schools and disadvantaged families. Petronas provides support to vocational
       schools for selected courses on industry-related engineering programs (17 schools in 2018) as well
       as other programs aiming at increase science, technology, engineering, and mathematics skills in
       Malaysia. Sponsorships are awarded to students from underprivileged families pursuing education
       in fields related to oil and gas at reputable institutions of higher learning in Malaysia as well as
       underprivileged primary students in science and mathematics (6,515 Malaysian students in 2018).
       Moreover, all operators in the oil and gas sector are required to pay 0.5 percent of the sum of cost oil
       and the contractor’s share of profit oil every fiscal year to a research fund to support research and
       development, with the fund collecting about US$345 million during 2007 to 2018.




27
   The university is one of Malaysia’s leading institutions of higher learning, particularly in the fields of engineering, science, and technology. The university ranks
145th in the QS World University Rankings 2018 for engineering and technology.




                                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                          41
CHAPTER 1 Balancing Assets to Boost Long-Term Growth




Volatile and inefficient investment in physical capital built insufficient
infrastructure to support productivity and diversification
High private and public investment spending over recent years contributed to a steady accumulation of
physical capital in Congo, but the investment was volatile and driven by developments in the oil sector. 28
For the past 20 years, total investment in Congo has been high and variable compared to the SSA average and
driven by private investment (in particular foreign direct investment) in the construction and maintenance
of oil wells (see Figure 12-a). Unfortunately, sectors not connected to the oil industry are barely attracting
foreign investors, which limits their productivity growth. 29 The new law on Public-Private Partnership adopted
by Parliament in December 2022 and enacted in January 2023 can facilitate investments in non-oil-related
sectors, the preparation of implementing decrees to this new law should be a priority. On the public investment
side, after decades of low investment rates, in 2009 the government introduced a vast public infrastructure
investment program including transport (roads and aviation), energy and water, financed by oil revenues and
rapid accumulation of debt. 30 The collapse of international oil prices in 2014 and the resulting decrease in fiscal
space, however, led to a significant drop in public investment, putting a brake on the government’s extensive
investment program with some projects remaining unfinished (see Figure 12-a). Notwithstanding, the long
period of investment before the oil price collapse allowed Congo to substantially increase its capital stock,
which is higher than the SSA average (as of 2017) yet below the CEMAC average.

Despite relatively high public investment, Congo’s coverage
and quality of infrastructure remain insufficient, in particular in
electricity and internet. Congo has the least reliable electric supply                                             A significant
system compared to peer countries. Only about half of the total                                                    improvement in
population has access to electricity (well below the average for other
low-middle income countries of 88 percent), and only 14.8 percent of
                                                                                                                   telecom connectivity,
rural residents. Moreover, Congo experiences more power outages in                                                 in particular in
a typical month than other SSA countries and lower-middle income                                                   access to internet
developing countries, and suffers much larger losses of generated
electricity (40 percent compared to an average of 27 percent in other
                                                                                                                   services, is a
SSA countries). Availability of other infrastructure such as roads and                                             critical element for
health facilities remains lower than the SSA average. 31 Indicators of                                             successful economic
telecommunications development and water access show Congo to
be comparable to other SSA and lower-middle income countries. A
                                                                                                                   diversification and
significant improvement in telecom connectivity, in particular in access                                           growth.
to internet services, is a critical element for successful economic
diversification and growth (see Figure 12-b) (see Chapter 4).


Low public investment efficiency has limited the economic and social benefits of public spending.
Despite significant progress in public investment spending efficiency following a series of public financial
management reforms in the last decade, 32 Congo’s public investment efficiency score is 70.8 (as of 2017),
which is low compared to peer countries (see Figure 12-c) (see Box 4 for the successful case of Botswana). 33
In addition, the recent contraction of the Congolese economy and the associated cuts in public investment
have likely led to a deterioration in the efficiency of capital spending. For instance, low public infrastructure
maintenance expenditures have been insufficient to meet the minimum level of routine maintenance, including
for roads and electricity. 34 More generally, because projects are not systematically subject to rigorous technical,
economic, financial as well as environmental and social appraisal, they may not necessarily have a significant
development impact and may have unclear and/or limited social value. 35 Indeed, urban-centered, ineffective



28
   Infrastructure capital stock is only one component of an overall country’s physical capital stock, which also includes machinery and equipment.
29
   Financial Times, fDi Markets data.
30
   World Bank (2018).
31
   For instance, only 13.0 percent of the road network is paved in Congo, compared to 18.3 percent for the SSA average.
32
   The 2008-2010 reforms in public financial management consisted of adopting the Action Plan for Improving Public Investment Management (PAAGIP) in 2008 and
the public procurement code in 2009 and creating the Commission in charge of identification and selection of public investment projects in 2010.
33
   Public Investment efficiency is calculated using standard non-parametric approaches (DEA and Partial frontier estimator). See World Bank (2022) for a detailed
description of the estimation.
34
   World Bank (2022).
35
   RGC, (2018) Melina, Selim, and Verdugo-Yepes (2019).




42     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                    CHAPTER 1 Balancing Assets to Boost Long-Term Growth




infrastructure and utility projects often fail to address the basic needs of the majority of the population, with
rural areas in particular constrained by the inadequate distribution of state resources. Weaknesses in planning
and selection of investment projects have led to white elephants such as airports in various rural localities and
high-budget prestige projects such as stadiums. 36 In recent years, in an attempt to strengthen public investment
management processes, the Government has adopted a law establishing the Center for Studies and Evaluation
of Investment Projects (Centre National d’étude et d’Evaluation des Projets d’Investissement Public, CNEEPIP)
in charge of investment project appraisal and evaluation in 2018, but its operationalization remains incomplete.

The steady accumulation of infrastructure capital stock would enable productivity gains, supporting
diversification efforts (see Chapters 3 and 6). Infrastructure reduces the cost of production and transportation
of goods and services, thus increasing the productivity of input factors. Additionally, infrastructure networks
expand access to markets (including online markets), thus further lowering production costs through
economies of scale. More availability of high-quality infrastructure in Congo would boost the productivity of
other production factors such as human capital and natural resources, supporting the development of these
assets and Congo’s diversification.



FIGURE 12
Despite high historical investment rates, access to basic infrastructure remains low
a. Congo: Investment total, public and private (% of GDP), 2000-2019                                            b. Congo & Peers: Indicators of access to Telecommunications

90                                                                                                              120
80
                                                                                                                100
70
60                                                                                                               80
50
                                                                                                                 60
40
30                                                                                                               40
20
                                                                                                                 20
10
        0                                                                                                          0
                                                                                                                                Internet users          Mobile phone subscribers
                    2000

                               2002

                                        2004

                                                2006

                                                           2008

                                                                  2010

                                                                           2012

                                                                                      2014

                                                                                             2016

                                                                                                     2018




                                                                                                                              (% of population)            (per 100 people)

                                      Total Congo                        Private Congo                                               Congo        Sub-Saharan Africa
                                      Public Congo                       Total SSA average                                           Low middle income Countries


c. Congo & Peers: Public Investment Ef ciency in 2017

                   100

                    95

                    90
Ef ciency scores




                                               WAEMU
                    85
                                                                                                    SSA
                                                                                                                                                                          CEMAC
                    80

                    75                                                                                                                    Congo
                    70

                    65

                    60
                           0                           2                          4                         6             8                  10                12                  14

                                                           Public capital stock per capita in thousands of constant 2011 international dollars


Source: WDI, IMF PIMA (2020), AIDI (2020) and World Bank staff calculations. June 2022.



36
           World Bank (2015), World Bank (2016).




                                                                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification    43
CHAPTER 1 Balancing Assets to Boost Long-Term Growth




In particular, enhancing the quantity and quality of strategic infrastructure would support Congo’s
digital adoption and trade integration. The slow development of ICT infrastructure (e.g., digitalization,
electricity, and internet) remain a bottleneck for digital adoption in Congo, hindering the growth potential
impact of ICT (see Chapter 4). Indeed, Congo is not taking advantage of ICT’s spillover effects, for example,
through trade expansion by facilitating customs clearance and other aspects of the cross-border movement of
goods and people. The deficit of ICT, transport and logistics infrastructure remains a major bottleneck to trade
integration in Congo (see Chapter 5 and 6). 37 Specifically, weak road connectivity, insufficient storage, and
inadequate commercial infrastructure hinder market linkages. 38




     BOX 4



       A peer country case of successful public investment
       management: Botswana39
       Botswana’s growth model has been built on effective capacity to maximize revenue captured
       from minerals and invested them efficiently in infrastructure. Public investment has been
       consistently high at around 11 percent of GDP since 2000, which outpaces peer countries and
       emerging market economies. Relatively high public investment spending has contributed to steady
       accumulation of capital stock—almost three times more per capita than peers and emerging market
       averages. In terms of public investment management, Botswana’s institutions for managing public
       investment compare reasonably well to other emerging market economies, especially in terms of
       national and sectoral planning and fiscal rules. For example, a comprehensive National Development
       Plan is published along with the Public Investment Plan, which provides six-year projections for the
       estimated total economic cost by project, which allows for an effective platform for investment
       funding and implementation.40


       Good progress in building physical capital was achieved also thanks to Botswana’s capacity
       to maintain stable levels of public investment. Prudent management of public finances has
       allowed enough fiscal space to maintain stable levels of public investment, avoiding large cuts in
       infrastructure projects that usually follow a recession. Indeed, despite a high dependency on mineral
       revenues, Botswana has managed to implement countercyclical fiscal policy successfully, while
       keeping low public debt ratios. In particular, prudent fiscal policy combined with formal debt limits—
       at 20 percent of GDP since 2006 for both domestic and external debt—has allowed the government
       to build fiscal buffers during good times and spend them judiciously during bad times.




37
   For example, the Logistics Performance Index (LPI) score for infrastructure has deteriorated despite significant investments, while the overall LPI score of 2.49 in
2018 was at the same level as in 2010.
38
   In 2014, the country had barely five kilometers of roads per 100 square kilometers, concentrated in the two main cities, leading to high transport costs and
difficulties in accessing markets for agricultural goods (World Bank, 2018).
39
   Lewin, Michael (2011), Rial et al. (2018).
40
   IMF (2017).




44     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
© mtcurado/iStockphoto.com




                             Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   45
CHAPTER 1 Balancing Assets to Boost Long-Term Growth




1.2.3 Institutional capital must be bolstered to support the
government’s ability to transform natural resources into
physical and human capital

The decades-long exploitation of natural resources has not been accompanied by the development
of strong institutions in Congo, which are needed to raise productivity across sectors. The World
Bank’s Country Policy and Institutional Assessment (CPIA) provides a review against standard criteria of
Congo’s economic management, structural policies, policies for social inclusion and equity, and public sector
management and institutions. Despite some recent progress in specific areas, Congo’s scores in most of these
institutional dimensions have deteriorated, while others remain unchanged (see Figure 13-a and b). Among the
16 areas grouped within the four broad clusters are some particularly important aspects of Congo’s policies and
institutions that will be discussed in the following sections.



FIGURE 13
Deteriorating quality of Congo’s policies and institutions leaves it farther behind SSA averages

a. Congo: CPIA score by clusters                                           b. Congo & Peers: CPIA Overall Score (1=low; 6=high)

4.0                                                                        3.3

3.5                                                                        3.2

                                                                           3.1
3.0
                                                                           3.0
2.5
                                                                           2.9
2.0
                                                                           2.8
1.5
                                                                           2.7
1.0
                                                                           2.6
0.5                                                                        2.5

 0                                                                         2.4
        Economic        Policies for      Structural    Public Sector                             2015                 2020
       Management     Social Inclusion     Policies     Management
                        and Equity                     and Institutions

                            2015         2020                                                            Congo   SSA


Source: WDI. June 2022.




Weak economic management has brought Congo into debt distress,
shrunk fiscal space, and failed to contain procyclical spending, together
undercutting long-term growth prospects

Weak debt policy and management have led to a sharp deterioration in debt sustainability, which
recent efforts are now correcting. During the first half of the 2010s, the government ramped up spending
on public infrastructure and public sector wages, financed by oil revenue windfalls and concessional external
borrowing. However, following the plunge in oil prices in 2014, the country resorted to non-concessional, oil-
backed external loans to continue its infrastructure projects. Short of cash, the government soon became unable
to meet its contractual obligations, leading to the accumulation of external arrears. By 2017, Congo was in debt
distress with an unsustainable debt level (Figure 14-d). These developments took place in a context of low debt
management capacity, including a lack of debt transparency and coordination between debt management
and other macroeconomic policies. While Congo is still in debt distress due to outstanding external arrears,
the country made substantial progress in debt restructuring, which enabled it to return to debt sustainability
in 2021. Recently, the government has adopted welcome measures on debt policy and management, which will




46    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                        CHAPTER 1 Balancing Assets to Boost Long-Term Growth




progressively relax the currently strong fiscal constraints. These measures include the publication of a medium-
term debt management strategy in December 2021 for the 2022-24 period, limiting external borrowing to
concessional terms, and negotiating debt restructuring agreements. On the latter, the government has reached
recently debt restructuring agreements with the three largest oil traders (Trafigura, Orion, and most recently in
January 2022 with Glencore), and continues to actively pursue negotiations on debt restructuring with China.


Procyclical fiscal policies, tightly linked to oil price fluctuations, have amplified the economic cycles in
Congo and impacted long-term growth. Congo has followed strong procyclical spending policies, i.e., a heavy
increase in spending during boom periods and fiscal consolidation during recessions. These policies have not
been contained by the CEMAC fiscal rule adopted in 2016 owing to non-compliance (see Figure 14-a).41,42 Indeed,
weak institutions in Congo were not capable of containing political pressure to spend in good times, leading to
fiscal profligacy and/or rent-seeking activities.43 The pro-cyclical fiscal policy during the last oil boom financed
large public infrastructure investments (which were often inefficient), the expansion of subsidies (especially in
energy), expansion in likely unproductive public-sector jobs, and higher public-sector wages. Following the end
of the oil boom in 2014, the government was forced to embark on a significant fiscal consolidation effort. The
sharp contraction in public spending amplified the economic recession, while the sudden cuts to infrastructure
projects froze capital accumulation and slashed maintenance spending, undercutting long-term growth (see
Figure 14 b and c). While the existing regional fiscal rule is a welcome initiative, its efficacy is also dependent on
bottom-up solutions which consist, for example, of improving transparency in the implementation of the budget
and fiscal rule, providing lawmakers, markets, and citizens with the information they need to hold governments
accountable. Effective sanctions by CEMAC institutions will also help with the actual implementation of this
regional fiscal rule.




Weak and worsening structural policies related to the business environment
are stunting growth

Congo’s business regulatory environment is not very attractive to private
sector investment. Despite having adopted regional commercial legislation
(sponsored by OHADA 44), Congo still needs to implement simplified,
transparent, and predictable processes when it comes to starting a new                                                       Congo still
business. The heavy regulatory process is reflected in the long period of time
                                                                                                                             needs to
required to start a business (50 days in 2019, compared, for example, to 14 days
in Cameroon). Other activities affecting business, such as registering property                                              implement
are also time-consuming (54 days in 2019, compared to 12 in Malaysia), and                                                   simplified,
the arbitrary implementation of regulations on business operations remains a
                                                                                                                             transparent,
hurdle for companies. The time to enforce a contract is 560 days, unchanged
for the past 15 years. Congo does not have a Competition Authority and lacks                                                 and predictable
a comprehensive Competition Law, although related draft laws are under                                                       processes when
preparation. The existing legislation does not cover all relevant competition
                                                                                                                             it comes to
topics (e.g., does not allow for penalties nor address either merger control
or abuse of dominance) and is not systematically applied (see Chapter 3 for                                                  starting a new
additional details). As a result, Congo’s CPIA score for business regulatory                                                 business.
environment (which is part of the cluster of structural policies) is low and
shows deterioration in recent years (from 2.5 in 2015 to 2.0 in 2020, on a scale
of 1 (low) to 6 (high)).




41
   CEMAC’s 2016 new reference fiscal criterion was adopted under the New Convergence Rules. The new reference fiscal balance (with a floor of -1.5 percent of
GDP) can be defined as the overall non-oil balance plus 80 percent of the average oil revenue-to-GDP ratio over the three previous years. It is, therefore, fully
disconnected from the current year’s oil revenue and does not allow governments to increase spending immediately when oil revenue increases.
42
   The special topic section of the CEMAC Quarterly Economic Barometer (January 2022) looks into the cyclicality of government spending and finds that fiscal
policy in CEMAC countries has amplified economic cycles (even more than in other SSA countries), deepening economic downturns and adding heat to upturns.
The report also finds that improvements in institutions could considerably attenuate this effect.
43
   Diallo (2009), Herrera et al. (2019).
44
   OHADA, or the Organization for the Harmonization of Business Law in Africa, was created in 1993 and now has 17 members states. It aims to support economic
integration, growth, and investment through harmonized, simple, and modern business law.




                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification              47
CHAPTER 1 Balancing Assets to Boost Long-Term Growth




Social inclusion policies have fallen short of Congo’s rising needs for
strong human capital
Policies aiming to protect and develop human capital need to be strengthened. The quality of policies
and institutions to boost health, education, and social protection has remained mostly unchanged since the
mid-2000s, according to the World Bank’s CPIA and remains close to SSA averages. The implementation of
the National Health Development Plan (PNDS) (2018-2022) is under review, but there is a lack of up-to-date
data to provide a thorough evaluation of its performance. In the meantime, there is an urgency to strengthen
national and local capacities for service delivery, improve access and quality of primary health care, combat
prohibitive prices (particularly for medicines) that result in high out-of-pocket spending for patients, and address
weaknesses in resource management. In education policy, Congo has made progress, including implementing
the first phase of the revised education strategy (2021-2030), having developed an education information system
and the improved institutional capacity to collect, analyze and use data. However, the government’s capacity
to evaluate learning outcomes and to use evaluation findings to inform policy decisions remains weak. Finally,
social assistance has remained dependent on external financing, notably through the Lisungi Social Safety Net
project that was of the main instrument for the government’s emergency assistance to poor and vulnerable
households during the pandemic-related crisis. However, overall, coverage of social protection remains limited
in reach and effectiveness, and the Ministry of Social Affairs and Humanitarian Action needs additional human
and financial resources, as well as stronger institutional capacity for effective policy implementation.




Stagnation in public sector management, despite some recent progress in
transparency and control of corruption, leaves much to be done

Despite some recent progress, Congo’s performance in public sector management needs improvement.
Congo’s score in the CPIA cluster “public sector management and institutions” has remained unchanged in
the last 15 years. This performance results from insufficient enforcement of the rule of law, low government
efficiency in spending and revenue collection (see section 1.2.1), as well as low transparency in the public sector.
For instance, Congo ranks among the worst countries worldwide in terms of corruption control, 45 and the
country also ranks low in the resource governance index (a rank of 39 out of 100 in 2017).46 Notwithstanding,
some progress in transparency and control of corruption has been achieved, including through the publication
of Extractive Industries Transparency Initiative (EITI) reports and the creation of the High Authority for the Fight
Against Corruption in 2018. In 2019 Congo adopted a law that institutionalizes the monitoring and evaluation of
public policy, which is a welcome step in improving public sector management. However, this law has not been
implemented to date, as the relevant institutional arrangements and regulations are still pending. Also, a new
anti-corruption law was passed in Parliament in February and ratified in March 2022. The accompanying decree
on conflicts of interest rules and procedures is being developed.


Improving institutions in Congo would support the capacity of the government to transform natural
resources into physical and human capital assets, as have some of Congo’s aspirational peer countries.
Strengthening the country’s quality of institutions would be essential to better manage resource rents, including
better mobilizing oil revenues, and ensure macroeconomic and fiscal stability and resilience to shocks. Better
institutions and policies would allow Congo to be more effective in public service delivery (e.g., through better
public investment and social spending efficiency), improve human capital outcomes (through improved health
and education of its labor force), and provide an enabling environment for private sector development. Other
countries have achieved these goals: for instance, Botswana’s long-term success in extracting resource rents
and channeling them to productive activities can be attributed to key institutions. These include a democratic
government since independence in 1966, long-term economic planning and fiscal discipline (e.g., mineral
revenues can be spent only for capital projects included in the national development plan, and on education,




45
  Worldwide Governance Indicators, 2021 update.
46
  The Resource Governance Index assesses how resource-rich countries govern their oil, gas and mineral wealth using 54 indicators grouped into three dimensions:
value realization, revenue management and enabling environment. https://resourcegovernanceindex.org/country-profiles/COG/oil-gas?years=2017




48     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                            CHAPTER 1 Balancing Assets to Boost Long-Term Growth




 training, and health), regulation and management of the mining sector, strong anticorruption institutions, and
 a sovereign savings fund for future generations financed through mineral revenues. Botswana’s experience
 provides key lessons for Congo as it aims to diversify its development and boost long-term growth.



 FIGURE 14
 The end of the oil boom led to plummeting capital spending, sustained current spending
 (except for maintenance), and soaring public debt

 a. Congo: Growth of public expenditures (% Growth Rate)                                                               b. Congo: Evolution of public spending (% of GDP)

     30                                                                                                                40
     25
                                                                                                                       35
     20
                                                                                                                       30
     15
     10                                                                                                                25

             5                                                                                                         20
             0                                                                                                         15
        -5
                                                                                                                       10
 -10
                                                                                                                        5
 -15
 -20                                                                                                                    0
                                    Boom                                        After the Boom
                                                                                                                             2009

                                                                                                                                     2010

                                                                                                                                             2011

                                                                                                                                                     2012

                                                                                                                                                            2013

                                                                                                                                                                   2014

                                                                                                                                                                          2015

                                                                                                                                                                                 2016

                                                                                                                                                                                        2017

                                                                                                                                                                                               2018

                                                                                                                                                                                                      2019

                                                                                                                                                                                                             2020
                                 (2009-2014)                                     (2015-2020)

                                       Public expenditures (% of GDP)                                                                        Capital Expenditures
                                       Public expenditures (CFAF Billion)                                                                    Interest Payments
                                                                                                                                             Current Expenditures (excluding interests)




 c. Congo: Allocation and execution of maintenance expenditures                                                        d. Congo: Evolution and composition of public debt

                   18                                                                                0.20              120

                   16                                                                                0.18
                                                                                                                       100
                   14                                                                                0.16
                                                                                                     0.14
Billions of CFAF




                   12                                                                                                   80
                                                                                                            % of GDP




                                                                                                     0.12
                   10
                                                                                                     0.10               60
                    8
                                                                                                     0.08
                    6                                                                                                   40
                                                                                                     0.06
                    4                                                                                0.04
                                                                                                                        20
                    2                                                                                0.02
                    0                                                                                0.00                0
                        2009

                               2010

                                      2011

                                             2012

                                                    2013

                                                           2014

                                                                  2015

                                                                         2016

                                                                                2017

                                                                                       2018

                                                                                              2019




                                                                                                                              2010

                                                                                                                                      2011

                                                                                                                                              2012

                                                                                                                                                     2013

                                                                                                                                                            2014

                                                                                                                                                                   2015

                                                                                                                                                                          2016

                                                                                                                                                                                 2017

                                                                                                                                                                                        2018

                                                                                                                                                                                               2019

                                                                                                                                                                                                      2020

                                                                                                                                                                                                             2021




                   Allocation           Execution                   Execution (in % of GDP) (rhs)                                    External public debt                  Domestic public debt


 Source: Congolese authorities and World Bank staff calculations. June 2022.




                                                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                               49
50   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
© Erwan Morand/World Bank




                            CHAPTER 2

                            Labor
                            Productivity




                              Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   51
CHAPTER 2 Labor Productivity




2.1 Productivity growth is the key driver of
sustainable income growth and poverty
reduction
Increasing productivity is crucial for meeting the objectives of the Republic of Congo’s National
Development Plan 2022-26, including diversification and sustained growth. Labor productivity measures
the level of output per worker. It is a principal driver of economic growth, accounting for more than half of the
differences in GDP per capita across countries47 and poverty reduction. Firms with higher labor productivity
tend to grow faster and be more resilient (as evidenced during the COVID-19 crisis48) while industries with
less productive firms will be uncompetitive and fail to expand. In this context, it is especially important to
consider productivity at the firm level, which is the most fundamental level where production occurs. Removing
constraints to productivity, especially at the firm level, presents an important opportunity to reach the
government’s development plan goals of diversification away from oil and towards higher growth, particularly
in the non-oil economy.


Although productivity growth has multiple drivers, given limited data for firms in Congo, the focus of
this labor productivity analysis will be on the misallocation of labor between firms. Productivity growth
has three fundamental drivers. The first is productivity improvements within existing firms. This component
is most closely related to firm capabilities, including innovation, technology adoption, and good managerial
and business practices, as well as skills. The second driver is the reallocation of production factors, i.e., labor
and capital, between firms, shifting from less productive to more productive firms. Incentives such as higher
wages at more productive firms typically drive reallocation. Lastly, the dynamic component captures the overall
productivity growth when the least productive firms exit, while new firms that are more productive than average
enter. Due to data limitations, the analysis here will focus on misallocation, i.e., the between component, with a
brief discussion of the dynamic one. Note that Chapter 4 on electricity and digital technologies will offer some
insights into the within component.


This chapter analyzes firm-level labor productivity for the first time in Congo, with a focus on the non-
extractive sector. Microeconomic studies of firm level productivity in Congo have been lacking 49. Hence,
this study will be the first to investigate the country’s micro-foundations of productivity growth, subject to                                                         © Erwan Morand/World Bank




47
   Cusolito and Maloney, 2018.
48
   The global evidence shows that more productive firms were less likely to close during COVID-19 and more productive firms are recovering faster. This is because
more productive firms are, by definition, more efficient and can therefore absorb more shocks. Further, the evidence shows that they can adjust faster. Muzi et al.,
2021; Cirera et al. 2021.
49
   World Bank, 2018.




52     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                   CHAPTER 2 Labor Productivity




data limitations (Box 5). Wherever possible, the analysis will focus on the non-extractive sector, given the
need for Congo’s economy to diversify away from oil. First, the analysis will discuss the overall recent trends
in productivity compared to other countries. Second, using firm level data for 2019 and 2020, it will analyze
productivity along different firm characteristics and identify where the main productivity gaps lie. Then, it will
aim to explain which factors serve as drags on productivity growth, focusing on misallocation, and assess the
potential productivity gains from reducing misallocation. Lastly, the chapter ends with policy considerations
that can boost productivity.




  BOX 5



     Productivity Data and Measures for the Republic of
     Congo
     The productivity analysis of this chapter relies on two main data sources. For the cross-country
     comparisons, it uses data from the World Bank’s World Development Indicators (WDI), which is not
     disaggregated by extractive and non-extractive industries. The subsequent analysis for Congo uses
     firm-level data from the 2020 General Census of Firms by the Institute for Statistics (Institut National
     de la Statistique, INS). The census contains information on sales, employment, wages, intermediate
     consumption, value added, and firm demographics for 2019 and 2020, covering 75,118 firms. Firm-
     level data for other years is not available. In the firm-level analysis, we consider all census firms, but
     largely exclude extractives firms where possible in order to focus on the non-extractive economy.

     Private sector employment in Congo is dominated by micro, small, and medium enterprises,
     which provides an important context for the results. According to the firm census, 98 percent
     of the 75,118 identified active firms in 2020 in Congo were micro or small. Brazzaville and Pointe-
     Noire account for about 75 percent of firms, according to census. Further, about 94 percent firms
     are counted as informal. Lastly, micro, small, and medium enterprises accounted for 83 percent of
     persons engaged in businesses (informal and formal) and for 35 percent of global turnover in 2019.


     Due to data constraints, labor productivity is used instead of total factor productivity. Total
     factor productivity is generally measured as the residual component (or explainer) of output, after
     accounting for inputs such as capital and labor. However, data on capital is unavailable for Congo
     so total factor productivity cannot be estimated. Hence, the analysis must rely on labor productivity
     measures. A caveat of doing so is that labor productivity does not capture the effects of capital
     inputs. It, therefore, overstates the productivity of capital-intensive sectors such as extractives and
     utilities.


     This chapter uses two measures of labor productivity, with a focus on value added per worker.
     There are two possible measures of labor productivity, (i) value added per worker and (ii) sales
     per worker. Using value added removes intermediate inputs and can, therefore, be a more precise
     measurement of productivity than using sales. This is because a firm’s sales confound the effect of
     inputs and materials with its productivity. Furthermore, value added per worker may be less directly
     affected by temporary sales reductions, e.g., due to COVID-19. Hence, value added per worker is
     used as the main productivity measure. However, value added per worker could have also been
     affected by the pandemic. Hence, where possible, results using sales per worker are also reported,
     as a robustness check to further corroborate the results. To construct these measures, value added
     and sales by are divided by the number of employees, all of which come directly from the 2020
     enterprise census.




                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   53
   CHAPTER 2 Labor Productivity




   2.2 Inadequate productivity in the Republic
   of Congo

   2.2.1 Cross-country analysis reveals a severe productivity
   problem in the Republic of Congo

   Congo faces low and declining labor productivity when
   compared to peers, thereby limiting economic growth and                                                                                    An average worker
   preventing catch-up with other economies. Figure 15-a shows labor
                                                                                                                                              in Congo needs
   productivity in 2019 and its average growth during 2016-19 measured
   as value added per worker for Congo and peer countries. Congo has                                                                          to work 2.6 times
   a concerning combination of very low labor productivity and highly                                                                         longer to produce
   negative labor productivity growth rates. Only one peer, Angola,
                                                                                                                                              the same output as
   has a lower growth rate of labor productivity over this period, but it
   registered almost double the productivity level, while peers with lower                                                                    one in aspirational
   levels all have higher growth rates. Hence, the country is backsliding,                                                                    peer countries.
   and the productivity frontier is becoming more distant.

   An average worker in Congo needs to work 2.6 times longer to produce the same output as one in
   aspirational peer countries and 2.2 times as long compared to structural peers. In 2019, Congo’s overall
   labor productivity, measured as value-added per worker, was only US$4,500 (constant 2015), compared to an
   average of US$11,800 among aspirational peers and US$10,000 among structural peers (Figure 15-b). Average
   labor productivity is also higher among LMIs at US$6,000 and regional peers at US$6,200. The only comparison
   group with lower labor productivity is the group of SSA countries (at US$4,300).



   FIGURE 15
   Labor productivity levels are low and decreasing

      a. Value added per worker 2019 and average growth, 2016-2019                                               b. Value added per worker by sector, 2019

                                                  Vietnam                                                        25
Value Added per Worker Growth 2016-2019




                                          5
                                                    Ghana                                                        20
                                                                                           Malaysia
                                                      Lower middle income
                                                           Indonesia
                                                Timor-Leste
                                                                 Azerbaijan                                      15
                                               Cameroon
                                          0           Mauritania
                                                   Sub-Saharan Africa                          Iraq              10

                                                              Nigeria

                                                                                                                  5
                                                Congo
                                          -5
                                                              Angola
                                                                                                                  0
                                                   5            10           15           20           25             Aspirational   Congo     LMIC     Regional     SSA       Structural


                                                            Overall VA per Worker 2019                                    Agriculture        Industry     Services         Overall



   Source: Staff calculations based on WDI (2022). Value added expressed as thousands of 2015 constant US$. Regional peers are Angola, Cameroon, Ghana, Nigeria.
   Structural peers are Azerbaijan, Iraq, Mauritania, Timor-Leste. Aspirational peers are Indonesia, Malaysia, Vietnam. Growth is in real terms. LMIC is lower-middle
   income countries. June 2022.




   54                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                       CHAPTER 2 Labor Productivity




Across sectors, labor productivity levels in Congo generally lag its peers, even in the sector which is
Congo’s most productive. The level of productivity in Congo’s industrial sector, including oil, is more than
double that of services and almost nine times as much as agriculture (Figure 15-b). 50 However, the industrial
sector’s productivity still underperforms compared to all peers, except lower-middle income countries. Further,
productivity levels in agriculture and services are the lowest across all comparison groups.


Recent labor productivity growth is strongly negative and much lower than peers across all broad
sectors. Average labor productivity growth during 2016-19 in Congo has been strongly negative (Figure 16-a).
While regional and SSA peers have also experienced negative productivity growth in this period, their average
was around -0.8 percent, almost seven times less than the average -5.5 percent in Congo. All other peer groups
saw positive average growth. This is especially concerning given Congo’s low level of productivity. The negative
growth was strongest in services, reaching -9.0 percent, compared to -2.6 in the industrial sector. However,
agriculture saw slight positive growth of 0.7 percent, which was below that of all peer groups, except for the
regional peer average of 0.6.


Labor productivity growth has been volatile and increasingly negative, mirroring volatile and declining
GDP growth. Figure 16-b shows the trend of three-year average labor productivity growth rates in Congo. 51 As
can be seen, productivity growth began falling in 2014 and progressively trended downward until 2019, when
it made a slight recovery. Between 2015-2019, the three-year growth rate has been consistently negative, 52
creating downward pressure on GDP growth. Furthermore, productivity growth has been volatile, which can
induce volatility in GDP. 53 Lastly, since 2015, the productivity growth rates in industry and services have both
been negative and no longer moving in opposite directions, thereby exacerbating the volatility and decline of
overall productivity, as they no longer cancel each other out.



FIGURE 16
Labor productivity growth is weak and declining across sectors and over time compared to
peers
a. Value added per worker growth, 2019, three-year average                            b. Value added per worker growth, three-year averages, 1994-2019

     6                                                                                 10

     4                                                                                  7

     2                                                                                  4

     0
                                                                                        1

 -2
                                                                                       -2
 -4
                                                                                       -5
 -6
                                                                                       -8
 -8
                                                                                      -11
-10
                                                                                            1994

                                                                                                    1996

                                                                                                           1998

                                                                                                                  2000

                                                                                                                         2002

                                                                                                                                2004

                                                                                                                                       2006

                                                                                                                                              2008

                                                                                                                                                      2010

                                                                                                                                                             2012

                                                                                                                                                                    2014

                                                                                                                                                                            2016

                                                                                                                                                                                   2018




         Aspirational   Congo      LMIC    Regional       SSA       Structural

            Agriculture         Industry      Services          Overall                            Agriculture              Industry                 Services              Overall


Source: Staff calculations based on WDI (2022). Regional peers are Angola, Cameroon, Ghana, Nigeria. Structural peers are Azerbaijan, Iraq, Mauritania, Timor-
Leste. Aspirational peers are Indonesia, Malaysia, Vietnam. Growth is in real terms. June 2022.




50
   The subnational analysis using firm census data suggests that the high labor productivity of industry is especially driven by extractives, but also utilities and
construction.
51
   Here, three-year averages help to smooth out temporary shocks or business cycle effects, in order to examine structural trends.
52
   Note that the three-year average for 2015 is based on year-on-year growth rates from 2013-2015. Among these, the 2013 year-on-year average was also negative
at -2.0 percent, while the 2014 rate was positive at 3.7 percent. Since 2015, the year-on-year growth rates have been negative in each year.
53
   High GDP volatility is concerning because it can reduce overall growth and investment while increasing the likelihood of a crisis (Perry, 2009).




                                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                                    55
CHAPTER 2 Labor Productivity




2.2.2 Sub-national analysis reveals significant variation in
productivity
Regional disparities in labor productivity, excluding extractives, are very large. Figure 17-a shows two
measures of labor productivity—value added and sales per worker—across regions in 2020. Given the need
for Congo’s economy to diversify away from oil and raise productivity elsewhere, the estimates exclude the
extractives sector. Both labor productivity measures show similar results. As expected, the most developed
regions of Brazzaville, Pointe-Noire and Cuvette have the highest productivity levels, with Cuvette in first place
at CFAF 4.7 million of value added per worker. This is almost four times higher than the least productive regions
(Likouala with CFAF 1.1 million of value added per worker and Pool with CFAF 1.3 million).


Labor productivity growth from 2019 to 2020, excluding extractives, has been negative in all regions
and has partially exacerbated regional disparities. As shown in Figure 17-b, according to both measures,
labor productivity has declined across all regions even when excluding extractives. Brazzaville’s value added
per worker contracted the least, at a rate of 15.5 percent. However, regions with lower productivity levels
experienced stronger contractions, reaching as much as 30.3 percent for sales and 33.7 percent for value added
per worker in Kouilou. As a result, some regional disparities in productivity levels have increased. At least part
of this trend is likely attributable to COVID-19. However, lack of data does not allow the pandemic effects to be
disentangled from broader structural trends, and earlier firm-level data is not available. 54



FIGURE 17
Productivity and productivity growth vary substantially across regions
a. Labor productivity (millions of current CFAF per year), 2020                       b. Real labor productivity growth (millions of current CFAF per
                                                                                      year), 2019-2020
          Cuvette                                                                                                                              Brazzaville
       Brazzaville                                                                                                                             Cuvette-Ouest
     Pointe-Noire                                                                                                                              Cuvette
         Bouenza                                                                                                                               Sangha
           Kouilou                                                                                                                             Likouala
              Niari                                                                                                                            Pointe-Noire
         Plateaux                                                                                                                              Pool
       Lékoumou                                                                                                                                Lékoumou
           Sangha                                                                                                                              Niari
Cuvette-Ouest                                                                                                                                  Bouenza
              Pool                                                                                                                             Plateaux
          Likouala                                                                                                                             Kouilou

                      0                2                  4                 6         -40                        -20                       0

              Value Added per Worker            Sales per Worker                            Value Added per Worker Growth       Sales per Worker Growth

Source: Staff calculations based on the 2020 firm census data from INS (2022). Labor productivity measures are expressed as millions of current CFAF per year.
Growth is in real terms. Estimates exclude the extractives sector. June 2022.




There is significant variation in labor productivity across sub-sectors. The extractives sub-sector has the
highest value added per worker at CFAF 20.8 million. Beyond extractives, labor productivity is highest in the
financial sector and utilities55 (Figure 18-a). Among other service sub-sectors, transportation and ICT have the
highest productivity, with a value added per worker of CFAF 7.1 million and 4.4 million respectively, while the
lowest productivity is in the education sector. A particular cause for concern is the very low productivity of
manufacturing, with value added per worker of just CFAF 1.55 million. Hence, the relatively high productivity



54
     The same reasoning will hold for subsequent analysis when it comes to discuss productivity growth from 2019 to 2020.
55
     Utilities are defined as the production and distribution of electricity and gas.




56        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                            CHAPTER 2 Labor Productivity




of the industrial sector overall (Figure 15-b) is driven by extractives, utilities, and construction. However, an
important caveat is that labor productivity severely overestimates total factor productivity for extractives and
utilities because these sectors are much more capital intensive.


Labor productivity growth between 2019-2020 exhibits considerable variability and has been negative
across all subsectors. Labor productivity growth, measured by value added per worker, ranged from -3.6
percent in the education sector to -36.2 percent in utilities (Figure 18-b). Using sales per worker also shows
a similar pattern, with a notably higher decline in extractives, most likely related to the fall in oil prices. Some
higher value-added sectors, such as ICT, transport, and construction, were relatively more resilient, with smaller
productivity contractions.



FIGURE 18
Productivity and productivity growth vary across subsectors
a. Labor productivity (millions of current CFAF per year), 2020                       b. Real labor productivity growth (millions of current CFAF per
                                                                                      year), 2019-2020
             Extractives                                                                                                                   Education
   Finance & insurance                                                                                                                     Construction
                 Utilities                                                                                                                 Health
   Transport & storage                                                                                                                     ICT
           Construction                                                                                                                    Agriculture
                      ICT                                                                                                                  Transport & storage
   Scienti c & technical                                                                                                                   Scienti c & technical
             Agriculture                                                                                                                   Art, sport & recreation
                  Trade                                                                                                                    Manufacturing
       Of ce & support                                                                                                                     Extractives
             Real estate                                                                                                                   Finance & insurance
Accommodation & food                                                                                                                       Other services
 Art, sport & recreation                                                                                                                   Accommodation & food
              Sanitation                                                                                                                   Of ce & support
                  Health                                                                                                                   Trade
         Manufacturing                                                                                                                     Real estate
         Other services                                                                                                                    Sanitation
              Education                                                                                                                    Utilities

                             0           10              20              30           -50       -40      -30       -20       -10       0
            Value Added per Worker            Sales per Worker                              Value Added per Worker Growth            Sales per Worker Growth

Source: Staff calculations based on the 2020 firm census data from INS (2022). Labor productivity measures expressed as millions of current CFAF per year. Growth
is in real terms. June 2022.




Larger, formal, foreign, and older firms have higher labor productivity, encouragingly in line with
expected patterns. Figure 19-a shows that productivity is steadily increasing with firm size when excluding
extractives. Hence, on average, more productive firms seem able to grow, as would be expected in a well-
functioning market. Similarly, formal firms are much more productive than informal ones, as is the case for
most countries. This implies that highly productive firms may be partially self-selecting into formality in Congo,
due to the benefits of formality. 56 Further, foreign firms operating in the country outside of extractives are
more productive than domestic ones, indicating a relatively successful attraction of productive foreign direct
investment, which may have positive spillover effects. Lastly, older firms are more productive than younger
ones, 57 which can be a sign of positive learning effects and functioning market forces, whereby more productive
firms are likelier to survive.


Labor productivity contractions in 2019-2020 have been broad-based, declining most in small, informal,
foreign, and older firms. Labor productivity strongly declined among all firm types. The growth in value added
per worker among small firms was -32.3 percent, compared to -18.0 percent in micro, -24.4 percent in medium,
and -11.2 percent in large firms, excluding extractives (Figure 19-b). Further, more productive firms, such as older
and foreign ones, saw much stronger reductions in their labor productivity.


56
   The benefits of formality for firms include easier access to finance, access to new (export) markets, certain legal protections, and enhanced government support,
while the costs can stem from entry fees, taxes, regulation, and reduced flexibility. LaPorta and Shleifer, 2014.
57
   Young firms are five years old or less.




                                                        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                57
CHAPTER 2 Labor Productivity




FIGURE 19
Productivity and productivity growth differ by firm characteristics
a. Labor productivity (millions of current CFAF per year), 2020                                       b. Real labor productivity growth (millions of current CFAF per
                                                                                                      year), 2019-2020
50




                                                                                                                                                                      Domestic
                                                                                                                               Medium




                                                                                                                                                         Informal




                                                                                                                                                                                 Foreign
                                                                                                                                                Formal




                                                                                                                                                                                                 Young
                                                                                                               Micro




                                                                                                                                        Large
                                                                                                                       Small




                                                                                                                                                                                           Old
40
                                                                                                       0

30
                                                                                                      -10

20

                                                                                                      -20
10


                                                                                                      -30
     0
         Micro

                   Small

                           Medium

                                    Large

                                            Formal

                                                     Informal

                                                                   Domestic

                                                                              Foreign

                                                                                        Old

                                                                                              Young




                                                                                                      -40

                 Value Added per Worker                         Sales per Worker                            Value Added per Worker Growth                           Sales per Worker Growth


Source: Staff calculations based on the 2020 firm census data from INS (2022). Labor productivity measures are expressed as millions of current CFAF per year.
Growth is in real terms. Estimates exclude the extractives sector. Young firms are aged 5 years or less. June 2022.




The recent decline in labor productivity may be partially related
to COVID-19 but likely mostly continues the longer structural
trend of negative growth. The multitude of shocks resulting from                                                                          The diffusion of
the pandemic can have negative effects on productivity in general. 58                                                                     digital technology
Further, the measurement of labor productivity in 2020 may partially
capture short-term effects, as business activity ceased while firms still
                                                                                                                                          and product
held onto workers. In particular, due to the rapid pandemic-induced                                                                       innovation
sales reductions, sales per worker may overstate contractions in                                                                          accelerated during
underlying labor productivity. Nevertheless, COVID-19 may affect
value added per worker slightly less through the reduced sales channel,
                                                                                                                                          the pandemic, which
which indeed shows smaller but sizable reductions. 59 However, while                                                                      will have positive
possible, it is unlikely that the productivity decline in 2019-2020 is                                                                    productivity effects.
entirely due to COVID-19, given the consistently negative growth rates
since 2015 (Figure 16-b).


Global evidence suggests that the COVID-19 pandemic may have some positive effects on longer-
term productivity. Global evidence shows that the diffusion of digital technology and product innovation
accelerated during the pandemic, which will have positive productivity effects. 60 While data for Congo is
not available, it is likely to have experienced similar developments, as these trends are consistent among the
51 surveyed countries and across all income groups. Further, less productive firms were more likely to close
permanently during the crisis. 61 This, in turn, should increase aggregate productivity, as resources are freed
up for more productive firms. Again, such data for Congo is unavailable, but similar effects are likely given the
robust and broad global evidence.




58
   Apedo-Amah, et. al. (2020).
59
   World Bank (2021b) shows that sales did fall due to the pandemic in Congo. However, the added value for each remaining sale would not be affected. Further,
growth was still negative even when excluding firms that had no value added, for example, because no sales could be made. However, value-added per worker
could be affected by COVID-19 through other channels.
60
   Cirera, et. al. (2021).
61
   As Muzi, et. al. (2021) found across 31 economies.




58       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                       CHAPTER 2 Labor Productivity




2.3 Misallocation drags down Congolese
productivity
The efficient allocation of resources across firms is crucial for productivity growth. Productivity can
improve if the factors of production, particularly labor and capital, move from less to more efficient firms (which
is known as between-firm productivity growth). Hence, even if the productivity of each individual firm remains
the same, aggregate productivity can increase if the most productive firms grow more than the less productive
ones. Failure of more productive firms to grow can be a sign that resources are being misallocated and that
there are barriers to the growth of more productive firms.


Although more productive firms pay higher wages in Congo, they tend to employ fewer people on
average, thereby indicating a misallocation of labor, especially in services. Figure 20 shows average
firm employment and wages by labor productivity quintiles (excluding extractives) for the overall economy,
industry, and services. 62 As productivity increases, mean and median wages steadily increase as well. This
pattern illustrates why productivity growth is crucial for creating better jobs in Congo. However, the least
productive firms employ the most people, with average firm employment steadily decreasing in higher
productivity groups.63 Hence, there is a misallocation of labor, because most workers should ideally be allocated
to more productive firms. Therefore, aggregate productivity could be strongly increased by moving workers to
more productive firms, where they could create more value. This overall trend is particularly strong in services.
In the industrial sector, average employment is also decreasing in productivity between the first and fourth
quintile. However, there, the most productive firms are the largest, followed by the least productive ones.




FIGURE 20
More productive firms pay higher wages but employ fewer people on average
Average employment and wages by labor productivity quintile

             4                                                                                                                                       200



             3                                                                                                                                       150
Employment




                                                                                                                                                           Wages
             2                                                                                                                                       100



             1                                                                                                                                       50



             0                                                                                                                                       0
                 1        2         3       4        5       1          2       3       4         5      1       2        3        4         5
                     Overall (excluding extractives)             Industry (excluding extractives)                      Services

                                                            Firm Labor Productivity Quintiles, 1-5

                                               Employment                 Average Wage                Median Wage



Note: Labor productivity measured as value added per worker. Wages expressed as 10,000 of current CFAF per year. Estimates exclude the extractives sector. The
same pattern is observed when considering only formal firms with relatively higher employment sizes.
Source: Staff calculations based on the 2020 firm census data from INS (2022). June 2022.




 Here and for the remainder of this analysis, labor productivity is measured as value added per worker because it is subject to less bias.
62

 Total employment follows a similar trend. However, as shown in Figure 24, the unconditional correlation of employment and productivity is slightly positive.
63

Nevertheless, that way of cutting the data also points to misallocation.




                                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification         59
  CHAPTER 2 Labor Productivity




  Employment growth is not always in the most productive sectors or in those with the highest productivity
  growth, thereby dragging down aggregate productivity through the misallocation of labor. The sectors
  with the most employment growth between 2019-2020 have mainly been those with lower productivity (Figure
  21).64 This implies that labor has been flowing to less productive sectors, thereby exacerbating misallocation and
  reducing aggregate productivity. A further concern about this trend is that since more productive firms tend to
  pay higher wages, these labor movements will tend to depress wages. Similarly, there is a negative relationship
  between employment growth and productivity growth (Figure 22). While these relationships can often be


  FIGURE 21
 Employment has not grown in high productivity sectors, dragging down aggregate productivity
 Employment growth and labor productivity levels by subsector, 2019-2020


                                                                                    Finance & insurance
Labor productivity average, 2019-2020




                                                                                                                               11.5


                                                                                                 Transport & storage             9.5
                                                       Construction

                                                                                                                                 7.5
                                                                   Scienti c & technical
                                                                                                   Trade
                                                                                                                  ICT            5.5                                             Real estate
                                                                           Agriculture                                                        Art, sport & recreation
                                                           Of ce & support                       Accommodation & food            3.5
                                                       Manufacturing           Health
                                                                                                             Education           1.5          Sanitation
                                                                                Other services

                                                                                                                                -0.5
                                        -6            -5              -4                 -3            -2                -1               0                 1                2              3

                                                                                              Employment growth, 2019-2020

 Note: The size of the bubble represents employment in that subsector. Labor productivity measured as value added per worker, expressed as millions of current
 CFAF per year. Estimates exclude the extractives sector.
 Source: Staff calculations based on the 2020 firm census data from INS (2022). June 2022.




  FIGURE 22
 Productivity is not growing in sectors with employment growth and vice-versa
 Employment growth and productivity growth by subsector, 2019-2020
                                                                                                                               3.0
Labor productivity growth, 2019-2020




                                        -6            -5              -4                 -3           -2                -1            0                 1                2              3

                                                                                                                 Education
                                               Construction                                                                    -8.0
                                                                                  Health           Agriculture
                                                               Transport & storage                                  ICT
                                                                                                                                               Art, sport & recreation
                                                            Manufacturing
                                                                                                     Scienti c & technical    -19.0
                                                       Finance & insurance
                                                                                                            Trade
                                                                Of ce & support                     Accommodation & food
                                                                                    Other services                                                                               Real estate
                                                                                                                                                  Sanitation

                                                                                                                              -30.0
                                                                                              Employment growth, 2019-2020

 Note: The size of the bubble represents employment in that subsector. Labor productivity measured as value added per worker. Growth is in real terms. Estimates
 exclude the extractives sector.
 Source: Staff calculations based on the 2020 firm census data from INS (2022). June 2022.




  64
                          In the figure, the size of the bubble represents employment in that subsector.




  60                                     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                                                                                                  CHAPTER 2 Labor Productivity




ambiguous in limited datasets,65 in an ideal case, more productive sectors should grow their employment more
than others, thereby increasing aggregate productivity and the share of better (higher wage) jobs. These results
in Congo are an indication of misallocation because, over time, more workers should be allocated to sectors
where they can work more productively. In that case, a strong positive relationship between employment and
productivity should be observed. Instead, in Congo, findings suggest a negative relationship.


Within sectors, there is considerable labor productivity dispersion, even when controlling for regional
differences, further corroborating high levels of misallocation. Figure 23 shows the ratio of labor productivity
between firms in the 80th and 20th percentile in 2020, with and without controlling for region. The 80-20 ratios
range from 7 to 34, implying huge differences in firm productivity within each industry. In advanced economies
like the United States of America (USA), top firms are only twice as productive as those in the bottom percentiles.
By contrast in Congo, firms with vastly different productivity levels co-exist within the same sector and even
the same region. Part of this dispersion can be explained by factors such as firm capabilities and markups. 66
However, the presence of both productive and unproductive firms can signal misallocation, as less productive
firms take up resources from more productive ones and should have been outcompeted. The magnitude of
dispersion indicates large potential gains from moving factors, particularly labor, to more productive firms. The
sectors with the most of this misallocation are finance and real estate, while education has the least.



FIGURE 23
The high degree of productivity dispersion implies that misallocation is an issue, especially in
certain services, such as the financial sector
Dispersion in rm labor productivity, ratio between 80th and 20th percentile, 2020

40
35
30
25
20
15
10
     5
     0
         Accom. & food


                         Agriculture


                                       Art, sport & recreation


                                                                 Construction


                                                                                Education


                                                                                            Finance & insurance


                                                                                                                  Health


                                                                                                                             ICT


                                                                                                                                    Manufacturing


                                                                                                                                                    Of ce & support


                                                                                                                                                                      Other services


                                                                                                                                                                                       Real estate


                                                                                                                                                                                                     Sanitation


                                                                                                                                                                                                                      Scienti c & technical


                                                                                                                                                                                                                                              Trade


                                                                                                                                                                                                                                                      Transport & storage


                                                                                                                                                                                                                                                                            Utilities



                                                                                                                  Baseline         Controlling for Region

Note: Labor productivity measured as value added per worker. Estimates exclude the extractives sector.
Source: Staff calculations based on the 2020 firm census data from INS (2022). June 2022.




State-owned enterprises (SOEs) tend to drag down aggregate productivity while employing more people
and providing higher wages, which exacerbates misallocation. Productivity is assessed by size group
between SOEs and private firms. Across all size groups, SOEs are less productive than privately owned firms.67
The difference is particularly notable among large firms, where SOEs had an average value added per worker
30 percent lower than that of private firms in 2020.68 Furthermore, labor hoarding by SOEs is one common
driver of low aggregate productivity. A typical medium-size SOE’s number of employees is more than double




65
   The relationship can be negative when productivity rises because jobs have been cut, e.g., by shedding superfluous workers or switching to technologies that
require less labor; or it can be positive when more productive firms expand.
66
   Cusolito and Maloney (2018).
67
   SOEs here are defined as firms with over 50 percent public national participation in the capital of the company. Similar results emerge with other common
definitions, such as 20 percent or more public participation.
68
   The same patterns of labor productivity and employment emerge in 2019 data.




                                                                                                  Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                                                                                             61
CHAPTER 2 Labor Productivity




that of a private medium-size firm. Meanwhile the level of employment in a large SOE is on average about 20
percent higher than in a large private firm. SOEs also pay higher wages. The average wage in a medium-size
SOE is double the wage in a medium-size private firm while large SOE wages are about 15 percent higher than
the wage for a large private firm.


Since factor allocation contributes very little to labor productivity levels, Congo could attain large
potential gains from reducing misallocation, particularly in services. A static productivity decomposition
in levels, excluding extractives, provides further insights into misallocation. 69 This shows a very low contribution
of factor allocation (i.e., the between-firm component of productivity), accounting for four percent of the
overall labor productivity level, while the rest comes from the within component (Figure 24-a). This implies that
firm size and productivity are very weakly correlated. With low misallocation, the correlation should be high,
as the more productive firms should receive more resources (e.g., labor) and grow in size. With a correlation
of zero (i.e., a completely random allocation), Congo’s productivity would be four percent lower (Figure 24-
b). As a result, the country can make large productivity gains by reducing misallocation. The results imply
that reducing distortions to the level of the USA would increase aggregate labor productivity by 95 percent.70
Further, misallocation is larger in services. An allocation similar to the USA would increase productivity by 207
percent in services, vs. 65 percent in industry.



FIGURE 24
Improving the allocation of resources could greatly increase productivity levels
a. Factor allocation contribution to labor productivity, %, static                                                                                                                               b. Labor productivity under different factor allocations
Olley-Pakes decomposition
60                                                                                                                                                                                               250

50
                                                                                                                                                                                                 200
40

30                                                                                                                                                                                               150

20
                                                                                                                                                                                                 100
10

     0
                                                                                                                                                                                                  50
         US ('93-'01)

                        Colombia ('12)

                                         Netherlands ('93-'01)

                                                                 Germany ('93-'01)

                                                                                     France ('93-'01)

                                                                                                        Mexico ('12)

                                                                                                                       Hungary ('93-'01)

                                                                                                                                           UK ('93-'01)

                                                                                                                                                          Slovenia ('93-'01)

                                                                                                                                                                               Congo ('19-'20)




                                                                                                                                                                                                   0
                                                                                                                                                                                                               Total               Industry            Services
                                                                                                                                                                                                        (excl. extractives)   (excl. extractives)

                                                                                                                                                                                                            Current       Random Allocation         US Allocation


Source: Staff calculations based on 2020 firm census data from INS (2022). Labor productivity measured as value added per worker. Estimates exclude the
extractives sector. Data for comparator countries comes from Trang and Iacovone (2015). June 2022.




However, older firms tend to be consistently larger and more productive, indicating a relative efficiency
of exits and dynamic market forces over time, as well as positive learning effects. Figure 25 shows the
average firm employment and productivity by age cohort, excluding extractives. As can be seen, firms that
have survived for a longer time are larger, meaning they were able to grow in terms of employment compared
to younger firms. Further, productivity is increasing with age. Hence, less productive firms have not been able
to survive very long on average, in contrast to more productive ones. Similarly, these results may indicate that
firms are able and incentivized to learn and increase their productivity over time. Hence, some overall market
forces, including entry and exit dynamics, appear to be working in general. Interestingly, this relationship
appears stronger in services than in industry (excluding extractives).


 Following Olley and Pakes (1996) and Trang and Lacovone (2015).
69

 In other words, increasing the between component contribution of productivity to the United States level. Similar data for peer countries is not available so the
70

United States, which is a frontier economy, is used for comparison.




62       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                       CHAPTER 2 Labor Productivity




 FIGURE 25
 Older firms are larger and more productive, implying some efficiency of dynamic market
 forces, including exits
 a. Employment by rm age, 2020                                                      b. Labor productivity by rm age, 2020

                     5                                                                                              500




                                                                                   Average Value Added per Worker
                     4                                                                                              400
Average Employment




                     3                                                                                              300



                     2                                                                                              200



                     1                                                                                              100
                         0   10                 20                   30                                                   0   10               20          30   40
                                        Age                                                                                                   Age
                             Industry         Services                                                                             Industry         Services

 Note: Labor productivity measured as value added per worker, expressed as 10,000 current CFAF per year. Estimates exclude extractives sector.
 Source: Staff calculations based on 2020 firm census data from INS (2022). June 2022.




                                                                                                                                                                      © Erwan Morand/World Bank




                                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification               63
CHAPTER 2 Labor Productivity




2.4 Policy implications
To raise productivity, policies should provide incentives to firms to upgrade their capabilities, allow
productive firms to grow, and remove constraints on entry and exit. Productivity can grow by firms becoming
more capable (within-firm productivity growth); by more resources being allocated to more productive firms
(reducing misallocation, which results in between-firm productivity growth); and by productive entry and exit
(dynamic growth). Box 6 summarizes the main policy directions that would directly promote each of these
channels. However, most policies are not exclusively associated with one component. For example, reforming
business regulations can facilitate both the entry of new firms (dynamic) and the growth of previously restricted
ones (between). Similarly, increasing competition can enable between-firm growth, while also providing
incentives to firms to upgrade their capabilities (within). Lastly, other aspects of the business environment such
as access to electricity affects all channels.



     BOX 6


      Sources of Productivity Growth and Enabling Policy

                   Within-firm                              Between-firm                                    Dynamic

        Firms increasing their                      Allocating resources to                       Entry of productive and
        capabilities                                more productive firms                         exit of unproductive firms
        Capabilities to be targeted                 Misallocation of resources                    Entry of highly productive, fast-
        are innovation, technology                  indicates barriers that prevent               growing firms and exit of firms
        adoption, workforce skills, as              movement of capital, labor, and               that are not growing.
        well as good management and                 other factors of production to
        business practices.                         the most productive firms in
                                                    the economy.

        Policy Levers:                              Policy Levers:                                Policy Levers:
        Improving education and                     Removing distortions in                       Same as within-firm and
        technical skills; encouraging               product markets (competition                  between-firm productivity
        entrepreneurship, good                      policy); addressing frictions in              levers, but with emphasis on
        management, technology                      land, capital, and labor markets;             dismantling barriers to entry
        adoption (digital), and                     improving the business                        and exit of domestic and foreign
        innovation; reducing                        environment (incl. access to                  firms (e.g., licensing, asset
        administrative burdens;                     electricity); increasing access to            recovery)
        improving the business                      finance; and opening markets
        environment (including access               to trade and investment.
        to electricity); and increasing
        access to finance.


      Note: Adapted from Davies (2019).




The analytic results in this chapter indicate that Congo should prioritize policies to reduce distortions that
cause misallocation (between firms), i.e., by enabling production factors to flow to the most productive
firms. In Congo, there is substantial evidence for misallocation as the main drag on aggregate labor productivity.
The results show that the least productive firms employ the most workers. Further, growing sectors are not
always the most productive ones or those with the highest productivity growth. Similarly, there is considerable
productivity dispersion within the same sectors, which signals strong misallocation. Lastly, the results indicate
that labor allocation only contributes four percent to the overall level of labor productivity. These results
together imply that resources, particularly labor, are not always flowing to the firms that can use them most
efficiently. One reason for this misallocation may be frictions in matching employees to employers, including
skill mismatches. Policies that remove distortions in input and output markets can, therefore, be expected




64    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                       CHAPTER 2 Labor Productivity




to push up productivity. As a result, overall labor productivity could increase by as much as 95 percent if
distortions were to be reduced towards the level of a frontier economy such as the US.


Policies to reduce misallocation should particularly focus on services, as they appear to be most affected.
All the results indicating misallocation appears stronger among services than in industry (excluding extractives).
Service sector productivity would more than double under an allocation as efficient as the USA, compared to a
65 percent increase in industry. Furthermore, services-led development may also be particularly advantageous
for the future and help to diversify the economy away from oil, especially given the low productivity levels in
manufacturing. However, further analytics would be required before embarking on this path.


There are several policy options to reduce misallocation, including increasing competition, opening
markets to trade and investment, and removing distortions in product markets and access to inputs.
Competition pushes firms to become more efficient and facilitates the reallocation of inputs toward more
productive firms, as less efficient ones are outcompeted.71 Potential competition reforms may include updating
the competition legal framework, supporting an independent competition authority, and leveling the playing
field for public and private actors (see Chapter 3). Similarly, opening markets to trade and investment can
increase competition, provide productivity enhancing inputs, and induce productivity spillovers (see Chapter 5).
To this end, policymakers can also attempt to strengthen foreign investment promotion and related strategies.
Furthermore, burdensome product market regulations should be revised, as they can serve as a barrier to
competition and efficient resource allocation. Lastly, other regulations may also inhibit access to input factors,
such as land, capital, and labor.

While the very limited evidence suggests that dynamic market forces
have been functioning to some extent in Congo, productivity can be
further improved through supporting efficient firm entry and exits. There
                                                                                                                           A crucial part
is some evidence that, on average, more productive Congolese firms are
likelier to survive and grow, which is encouraging. However, the limited data                                              of the business
cannot rule out this dynamic productivity channel as important. To increase                                                environment in
dynamic productivity, policymakers need to reduce barriers to entry and exit.
                                                                                                                           the Republic of
For example, simplifying regulations for licenses or permits and supporting
e-licensing would facilitate firms’ entry. Another avenue could be simplifying                                             Congo is access
and supporting insolvency procedures. This would help inefficient firms exit,                                              to electricity.
thereby freeing scarce resources for more productive uses and enabling
struggling entrepreneurs to liquidate and quickly get back into the economy.


Supporting firm capabilities, including through digital transformation, can increase productivity. While the
limited data do not allow for a thorough investigation of firm capabilities, the results of Figure 24 do indicate that
they are important, accounting for most of the aggregate labor productivity levels. Better capabilities, which
include technology adoption, innovation capacity, good managerial practices, and workforce skills, improve
productivity and, therefore, growth within a firm.72 Firm capabilities can be directly supported through targeted
training programs, business development services, technology transfer and extension services, incubators,
accelerators, and technology centers. Similarly, improving the business environment, supporting access to
finance, and increasing competition can enable and incentivize the proper investments in capabilities by firms.73
Lastly, digital transformation has an especially strong potential to improve productivity (see Chapter 4).


Overall improvements to the business environment, including access to electricity, would also help raise
productivity. The business environment affects all channels of productivity. First, it enables productivity-
enhancing investments and provides incentives to improve capabilities within firms. Furthermore, it supports
aggregate productivity growth between firms, by ensuring that more productive firms can enter and grow
faster, while less productive firms shrink and exit as they are outcompeted. A crucial part of the business
environment in Congo is access to electricity (Chapter 4).


71
   Aghion and Griffith, (2005).
72
   Better technology and innovation lead to a more efficient use of resources, successful new products improve sales, and more skilled employees can do better
work in higher value-added sectors. Lastly, good management acts as a technology which improves productivity. See Bloom, et. al. (2013).
73
   A general overview of the available policy options and implementation guidance can be found in World Bank (2021a) for micro, small, and medium enterprises
and in Cirera, et. al. (2020b) for innovation.




                                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification            65
66   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
© Valdhy Mbemba/unsplash.com




                               CHAPTER 3

                               Boosting
                               Productivity
                               through
                               Competition




                                 Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   67
CHAPTER 3 Boosting Productivity through Competition




3.1 Congo’s competitive environment lags
behind peers
Competition constitutes an essential driving force for boosting long-term productivity and private sector
development. Competition leads to more efficient markets by incentivizing companies to reduce their costs and
innovate. As a result, more efficient companies will increase their market shares, while lower-productivity firms
will tend to leave the market in the long run. Theoretical and empirical studies demonstrate that competition leads
to more efficient markets,74 increased innovation,75 productivity,76 and economic growth.77 Moreover, empirical
evidence shows that the degree of competition in the domestic market is a key determinant of international
competitiveness.78 Lack of competition in key inputs for domestic production—such as energy, transport or
telecommunication services—can artificially increase firms’ costs, constraining international competitiveness
and GDP growth.


According to perception-based indicators, domestic competition in Congo appears to lag behind its
regional, structural and aspirational peers. The Bertelsmann Transformation Index (BTI) assesses competition
in Congo to be perceived as less robust than in most countries of the region: Congo ranks 117th out of 137
countries on the Economic Transformation component of the overall index.79 Within that component, Congo’s
index for ‘organization of the market and competition’ (assessing the extent to which “there are clear rules for
stable, market-based competition”)80 is significantly below its peers (Figure 26-a). Among competition-related
sub-indices, Congo also compares unfavorably to its peers, lagging behind in terms of: (i) ‘market organization’
(assessing the extent to which an institutional framework ensures unrestricted participation in the market and a
level playing field for all market participants) (Figure 26-b); (ii) ‘competition policy’ (i.e., assessing competition
laws and the extent to which they are enforced) (Figure 26-c); (iii) ‘liberalization of foreign trade’ (i.e., assessing
the degree of openness of the economy to foreign trade) (Figure 26-d); and (iv) ‘private enterprise’ (i.e.,
assessing privatization processes and the extent to which private companies permitted and protected) (Figure
26-e). 81


Businesses also perceive risks related to cronyism, discrimination against foreign companies, and unfair
competitive practices to a greater extent than in comparator countries. According to the Economist
Intelligence Unit’s Risk Tracker, government regulations and interventions in markets that increase business
risks and harm competition can adversely affect the ability of firms to compete in markets. 82 Risks are perceived
to be significantly higher than in comparator countries except from retail price controls which, while remaining
a significant source of risk, are on par with regional peers (Figure 26-f). These perceived risks may be limiting
the development of the private sector in Congo.


Previous assessments by the World Bank appear to confirm the existence of business risks related to
regulation. In the World Bank’s CPIA, Congo scored 2.0 out of a possible 6 in Business Regulatory Environment,
with a 2 out of 6 in all three subcategories (regulations affecting entry, exit, and competition; regulations of
ongoing business operations; and regulations of factor markets). This CPIA score is lower than regional peers:
Cameroon (3.0), Ghana (3.5), Nigeria (3.5).




74
   Competition Policy: Encouraging Thriving Markets for Development, Kitzmuller and Licetti (WBG) (2013).
75
   Labour Market Institutions, Product Market Regulation, and Innovation, Bassanini and Ernst (OECD Working Paper) (2002); Trade Induced Technical Change? The
Impact of Chinese Imports on Innovation, IT and Productivity, Bloom, Draca, & Von Reenen (NBER Working Paper) (2011).
76
   Competition and Innovation: An Inverted-U Relationship, Aghion & Griffith, Q. J. of Econ., V. 120, No. 2 (May 2005); Technology, Information, and the
Decentralization of the Firm, Acemoglu et al., Q. J. of Econ., Vol. 122, No. 4 (Nov. 2007).
77
   Competition Policy and Productivity Growth: An Empirical Assessment, Buccirossi et al., Rev. of Econ. & Stat., Vol. 95 No. 4 (Oct. 2009); The Effects of Competition
Policy on Development – Cross-Country Evidence Using Four New Indicators, Voigt, J. of Development Studies, Vol. 45, No. 8 (2009).
78
   Export Competitiveness: Why Domestic Market Competition Matters, Goodwin & Pierola (WBG) (2015).
79
   The BTI assesses transformation toward democracy and a market economy as well as the quality of governance, organized around three components: political
transformation, governance, and economic transformation. The Bertelsmann Transformation Index 2022 Country Report, Congo, Rep., available at https://bti-
project.org/fileadmin/api/content/en/downloads/reports/country_report_2022_COG.pdf.
80
   ‘Organization of the market and competition’ is one of seven criteria for the Economic Transformation index. BTI 2022 Codebook for Country Assessments ,
available at https://bti-project.org/fileadmin/api/content/en/downloads/codebooks/BTI2022_Codebook.pdf.
81
   BTI 2022 Codebook for Country Assessments .
82
   Economist Intelligence Unit Risk Tracker scores are assigned by analysts on both qualitative and quantitative factors.




68     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                                                                                                         CHAPTER 3 Boosting Productivity through Competition




  FIGURE 26
 Congo fares inadequately in competition related indicators
   a. Organization of the Market & Competition, BTI 2022                                                                                                                                         b. Market Organization Sub-index, BTI 2022

                       10                                                                                                                                                                                            10


                        8                                                                                                                                                                                             8
1-10 Scale (10 best)




                                                                                                                                                                                              1-10 Scale (10 best)
                        6                                                                                                                                                                                             6


                        4                                                                                                                                                                                             4


                        2                                                                                                                                                                                             2


                        0                                                                                                                                                                                             0
                            Congo

                                    Mauritania

                                                 Iraq

                                                               Nigeria

                                                                         Azerbaijan

                                                                                      Angola

                                                                                                   Cameroon

                                                                                                                Timor-Leste

                                                                                                                              Vietnam

                                                                                                                                          Ghana

                                                                                                                                                      Indonesia

                                                                                                                                                                  Malaysia

                                                                                                                                                                                Botswana




                                                                                                                                                                                                                            Congo

                                                                                                                                                                                                                                    Mauritania

                                                                                                                                                                                                                                                 Angola

                                                                                                                                                                                                                                                            Azerbaijan

                                                                                                                                                                                                                                                                         Cameroon

                                                                                                                                                                                                                                                                                    Iraq

                                                                                                                                                                                                                                                                                             Nigeria

                                                                                                                                                                                                                                                                                                       Timor-Leste

                                                                                                                                                                                                                                                                                                                     Vietnam

                                                                                                                                                                                                                                                                                                                                 Ghana

                                                                                                                                                                                                                                                                                                                                            Indonesia

                                                                                                                                                                                                                                                                                                                                                        Botswana

                                                                                                                                                                                                                                                                                                                                                                   Malaysia
   c. Competition Policy Sub-index, BTI 2022                                                                                                                                                     d. Liberalization of Foreign Trade Sub-index, BTI 2022

                       10                                                                                                                                                                                            10


                        8                                                                                                                                                                                             8
1-10 Scale (10 best)




                                                                                                                                                                                              1-10 Scale (10 best)




                        6                                                                                                                                                                                             6


                        4                                                                                                                                                                                             4


                        2                                                                                                                                                                                             2


                        0                                                                                                                                                                                             0
                            Congo

                                    Mauritania

                                                 Timor-Leste

                                                               Iraq

                                                                         Nigeria

                                                                                      Angola

                                                                                                   Azerbaijan

                                                                                                                Cameroon

                                                                                                                              Ghana

                                                                                                                                          Indonesia

                                                                                                                                                      Vietnam

                                                                                                                                                                  Botswana

                                                                                                                                                                                Malaysia




                                                                                                                                                                                                                            Congo

                                                                                                                                                                                                                                    Azerbaijan

                                                                                                                                                                                                                                                 Cameroon

                                                                                                                                                                                                                                                            Mauritania

                                                                                                                                                                                                                                                                         Nigeria

                                                                                                                                                                                                                                                                                    Angola

                                                                                                                                                                                                                                                                                             Iraq

                                                                                                                                                                                                                                                                                                       Ghana

                                                                                                                                                                                                                                                                                                                     Indonesia

                                                                                                                                                                                                                                                                                                                                 Malaysia

                                                                                                                                                                                                                                                                                                                                            Botswana

                                                                                                                                                                                                                                                                                                                                                        Vietnam

                                                                                                                                                                                                                                                                                                                                                                   Timor-Leste
   e. Private Enterprise Sub-index, BTI 2022                                                                                                                                                     f. Business Risks Related to Weak Competition Policies, EIU 2022

                       10                                                                                                                                                                                            4


                        8
                                                                                                                                                                                                                     3
1-10 Scale (10 best)




                                                                                                                                                                                              1-4 Scale (4 worst)




                        6
                                                                                                                                                                                                                     2
                        4

                                                                                                                                                                                                                     1
                        2


                        0                                                                                                                                                                                            0
                                                                                                                                                                                                                               Vested                       Discrimination   Unfair                                                              Price
                            Congo

                                    Cameroon

                                                 Iraq

                                                               Angola

                                                                         Azerbaijan

                                                                                      Mauritania

                                                                                                   Nigeria

                                                                                                                Vietnam

                                                                                                                              Indonesia

                                                                                                                                          Ghana

                                                                                                                                                      Malaysia

                                                                                                                                                                  Timor-Leste

                                                                                                                                                                                Botswana




                                                                                                                                                                                                                             interests/                        against     competitive                                                          controls
                                                                                                                                                                                                                             cronyism                          foreign      practices
                                                                                                                                                                                                                                                             companies



                                                                                         Congo                                       Regional Peers                                        Structural Peers                                        Aspirational Peers


 Note: The BTI and EIU are perception indicators. BTI 2022 covers the period from February 1, 2019, to January 31, 2021. Angola, Cameroon, Ghana, and Nigeria are
 included as regional peers. Azerbaijan, Iraq, Mauritania, and Timor-Leste are structural peers. Botswana, Indonesia, Malaysia, and Vietnam are aspirational peers.
 EIU scores are updated by analysts quarterly on both qualitative and quantitative factors—this data is from May 2022.
 Source: Bertelsmann Transformation Index (BTI) 2022; Economist Intelligence Unit (EIU) Risk Tracker, May 2022.




                                                                                                                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                                                                                                                                          69
CHAPTER 3 Boosting Productivity through Competition




As is true elsewhere, competition in Congo is affected both by government policy in setting the regulatory
environment and market rules and by direct market involvement through SOEs. Competition in Congo is
hindered by government behavior in three important ways. First, market distortions arise due to the state’s
participation in markets through SOEs (Section 3.2), including in markets where competition is viable and where
private-sector competitors are present. Second, markets are distorted by government price controls (Section
3.3); and last, Congo lacks a functioning economy-wide competition policy (Section 3.4).




3.2 Congolese SOEs benefit from an uneven
playing field
Despite past divestment efforts, the government of Congo retains a prominent role in the economy through
SOEs.83 In the 1990s, Congo undertook a major move toward government divestment in an economy dominated
by SOEs. 84 The Congolese state still controls the key public services of electricity, water, and transport. Overall,
the Congolese government has an ownership stake in 55 companies, of which the government has a majority
share in 34. 85 The ten largest SOEs are in the areas of energy, transport, banking, and healthcare, 86 but there
are also SOEs in mining, agro-industry, 87 residential housing, gambling and insurance. 88 While many of these
SOEs are present in network industries with natural-monopoly segments (e.g., electricity, water supply, and
railways), they also operate in contestable markets (markets where no underlying economic factor precludes
private-sector participation 89 such as power generation) and in competitive markets (such as banking, 90
insurance, 91 residential housing, 92 and gambling93). SOE presence in industries with inherent barriers to entry,
such as network effects, is not in of itself a problem and is common internationally, but where private-sector
competition is feasible, it is important to ensure that preferential treatment of SOEs does not discourage the
participation of the private sector. On the other hand, the presence of SOEs in contestable and competitive
market segments can crowd out efficient private sector operators and limit competition.


A “competitive neutrality” gap analysis suggests that Congolese SOEs do not consistently compete on an
even playing field relative to private-sector firms. Competitive neutrality refers to the consistent application
of the same laws and regulations to SOEs as private firms—a key characteristic of a level playing field. 94 Table
1 summarizes the “competitive neutrality” gap analysis for Congo at the firm-level and at the level of cross-
cutting regulatory frameworks and sectoral policies.




83
   SOEs in Congo comprise the public portfolio ( portefeuille public ). Companies in which the state has a majority share are called public enterprises (entreprises
publiques ), and those in which the state has a minority share are called holdings (participations). SOEs are organized both under a 1981 law as Etablissements
Publics à Caractère Industriel et Commercial for wholly state-owned entities) and under OHADA law as Sociétés Anonymes . See Zoom sur les Entreprises du
Portefeuille public avec Madame Lydie Oboa Oworo, Directrice générale, (Jan. 19, 2017) available at https://www.finances.gouv.cg/fr/articles/zoom-sur-les-
entreprises-du-portefeuille-public-avec-madame-lydie-oboa-oworo-directrice; Law No. 13-81 (Mar. 14, 1981) (State Enterprise Charter).
84
   Law 24-94 (Aug. 10, 1994) (introducing a framework for privatization); and Law 10-95 (Apr. 17, 1995) (identifying specific sectors to be privatized). In the past five
years, no Congolese SOEs have been created. 2022 SOE Checklist Survey for Congo.
85
   2022 SOE Checklist Survey for Congo. In 2021, the top ten SOEs (listed in note 82 below) had a total turnover (CFAF 577,670 million) that amounted to 8.3 percent
of GDP (CFAF 6,944,920.92 million per World Bank estimate). For a list of SOEs that existed at the end of 2016, see Cartographie des Entreprises Publiques, Ministère
de l’économie, de l’industrie et du portefeuille publique (last updated Dec. 31, 2016), https://economie.gouv.cg/fr/cartographie-des-entreprises-publiques.
86
   The ten largest SOEs in order of largest to smallest in terms of turnover are: Société Nationale des Pétroles du Congo (SNPC), Energie électrique du Congo
(E2C), Centrale électrique du Congo (CEC), Port autonome de Pointe-Noire, Congo Télécom, Banque postale du Congo, La Congolaise des Eaux, Chemin de Fer
Congo-Océan, Port autonome de Brazzaville et des Ports secondaires, and Centrale d’achats des médicaments essentiels et des produits de santé. Rapport annuel
sur la dette publique, Caisse Congolese d’Amortissement (2021), p. 38, available at https://www.finances.gouv.cg/fr/rapport-annuel-sur-la-dette-publique-2021.
87
   Government participation in agro-industry extends to inputs, cultivation, and processing. 2022 SOE Checklist Survey for Congo. The partially state-owned SOE,
Société Agricole pour le Raffinage du Sucre (Agricultural Company for Industrial Sugar Refining), produces crushed lime as a soil additive for cane fields, cultivates
cane, and refines sugar. See https://www.somdiaa.com/groupe/filiales/saris-congo/.
88
   2022 SOE Checklist Survey for Congo.
89
   Competitive sectors are characterized by small entry barriers; contestable sectors are characterized by moderate entry barriers, public goods, or externalities;
and natural monopoly sectors are those that exhibit high entry barriers, economies of scale, or sub-additivity cost structures.
90
   Banque Congolaise de l’Habitat (BCH).
91
   Assurances et Réassurances du Congo (ARC).
92
   The state’s involvement in the residential housing markets through the SOE, La Société de Promotion Immobilière, includes but is by no means limited to low-
income housing. See, https://soprim.cg.
93
   La Congolaise de Gestion et de Loterie.
94
   Competitive neutrality is a principle according to which all enterprises, public or private, domestic or foreign, face the same set of rules and where government’s
contact, ownership or involvement in the marketplace, in fact or in law, does not confer an undue competitive advantage on any actual or potential market
participant. Roundtable on Competition Neutrality, Issues paper by the Secretariat, OECD (2015), p. 4.




70     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                              CHAPTER 3 Boosting Productivity through Competition




TABLE 1
Preliminary competitive neutrality gap analysis for Congo

                                             Competitive neutrality gap analysis

                                Subsidiarity analysis: the role of the State in the economy analysis


            Firm-level principles: Separation of SOE commercial and non-commercial activities
                           1                                2                               3                                4
                Streamlining the                                                      Achieving a
                                             Identifying the costs of                                           Accounting for public
               operational form of                                                    commercial
                                               any given function                                                service obligations
              government business                                                    rate of return


             •	 No legal separation           •	 No accounting                 •	 No formal requirement to     •	 Lack of systematic,
                between commercial and           separation/cost allocation       achieve a commercial rate       transparent and objective
                non-commercial activities        requirement in the law.          of return.                      criteria for SOEs in the
                of SOEs.                                                                                          compensation of Public
                                                                               •	 No formal obligation            Service Obligations
  Congo                                                                           for SOEs to cover direct        (PSOs).
                                                                                  costs using internally
                                                                                  generated revenues
                                                                                  and no private sector
                                                                                  benchmark for SOEs’
                                                                                  transactions.


             •	 Legislation requires          •	 Separate accounts for         •	 SOEs commercial              •	 Compensation paid
                business separation of           commercial and non-              operations and                  to SOEs for the
                SOEs.                            commercial activities of         investments are required        provision of PSOs is
                                                 SOEs.                            to have positive Net            based on transparent
                                                                                  Present Value (NPV),            accountability and
Benchmark                                     •	 SOEs objectively                 market consistent               objective criteria. Cross-
                                                 assessed based on                rate of returns and to          subsidization is avoided.
                                                 transparent performance          be measured based
                                                 reports.                         on private sector
                                                                                  performance.



            Principles embedded in cross-cutting regulatory frameworks and sectoral policies
                          5                                 6                               7                                8
                                                                                                                 Debt neutrality and
              Regulatory neutrality            Public procurement                   Tax neutrality
                                                                                                                  outright subsidies


             •	 SOEs are not provided         •	 SOEs are not provided         •	 SOEs are not provided        •	 The government
                legal exceptions with            legal exceptions with            legal exceptions with           has provided debt
                respect to competition           respect to public-               respect to tax law.             guarantees, but (with
                law, regulatory                  procurement law.                 There is some evidence          no formal legislative
                requirements, or                                                  that SOEs are able to           change) has ceased to do
                insolvency.                                                       accumulate tax debt.            so in recent years. The
                                                                                                                  government also provides
  Congo                                                                                                           state guarantees and land
                                                                                                                  transfers to some SOEs.

                                                                                                               •	 The government is able to
                                                                                                                  and has provided outright
                                                                                                                  subsidies to struggling
                                                                                                                  SOEs.



             •	 Companies compete             •	 Market-based                  •	 Tax exemptions, subsidies, and debt guarantees granted
                on a level-playing field         competition in public            following competitive neutrality principles.
                with no trade protection         procurement.
                and market-based
                competition for rights to     •	 Bids/auctions designed
Benchmark       invest in state assets.          to reduce the risks of bid
                                                 rigging.
             •	 Sectors where
                competition is feasible
                are open to private
                investment.



                    State aid legal framework and implementation requires improvements to minimize room for
                                                   anticompetitive outcomes


                               Level playing field in the market between SOEs and privately owned operators




                                            Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification          71
CHAPTER 3 Boosting Productivity through Competition




3.2.1 Blurring of commercial and non-commercial activities
for SOEs may confer an unfair advantage
The absence of a clear separation between commercial and
non-commercial activities of SOEs allows them to cross-subsidize
commercial activities in markets where they face private competition.
Currently, according to publicly available information, there seems to
be no formal requirement for SOEs to separate their commercial and                                                   Although
noncommercial activities and keep separated accounts. Moreover, it                                                   annual financial
appears that SOEs are not required to achieve a positive rate of return
                                                                                                                     statements are
or net present value. Compensation of public service obligations is not
systematically subject to transparent and objective criteria. Without such                                           required for both
separation of commercial and non-commercial activities, there is the risk                                            public and private
that compensation of public service obligations will allow an SOE to persist
                                                                                                                     companies, there
in commercial activities despite being less efficient than competitors or
to cross-subsidize between commercial and non-commercial activities,                                                 are generally
maintaining artificially low prices with respect to the SOE’s commercial                                             no additional
activities to the disadvantage of any actual or potential private competitors.
                                                                                                                     reporting
Importantly, Congolese SOEs are not systematically and transparently                                                 requirements
audited in a manner that would allow the separation of commercial and                                                regarding SOE
non-commercial activities. The General Directorate of Public Portfolio
                                                                                                                     performance or
(Direction Générale du Portefeuille Public, DGPP) is tasked with monitoring
the financial performance of SOEs. However, in practice, the DGPP lacks                                              financial decisions.
adequate resources and seems to have a limited role. 95 Although annual
financial statements are required for both public and private companies, 96
there are generally no additional reporting requirements regarding SOE




                                                                                                                                                                  © mtcurado/iStockphoto.com




95
   Congolese SOEs have two forms of supervision: technical supervision provided by the relevant line ministry, and financial and administrative supervision
provided by the DGPP in the Ministry of Finance. Even since the creation of the DGPP in 2013, the line ministries play a preponderant role that the supervising
SOEs. Evaluation de la Gouvernance des Entreprises du Portefeuille Public, WBG, (2018), ¶ 16.
96
   OHADA Uniform Act on Economic Companies and Public Interest Groups, art. 269.




72     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                            CHAPTER 3 Boosting Productivity through Competition




performance or financial decisions. 97 SOEs’ annual reports are subject to audit by the agency charged with
auditing public enterprises (Commissariat National aux Comptes, CNC), 98 but such audits have not consistently
occurred. 99 Congo Telecom, for example, had gone a decade without an audit as of 2018 (Box 7). Moreover,
to ensure independence, it is best practice to use external audits rather than to rely solely on a government
auditing authority.100 In the last few years, Congolese authorities have been making ongoing efforts to increase
transparency of SOEs with support from the World Bank and the IMF.101 These efforts have included external
audits by international audit firms of select SOEs, but such auditing is not required or applied to SOEs in
general. These efforts are also based on OHADA accounting law,102 which applies equally to SOEs and private
companies and does not provide for separation of commercial and non-commercial activities.103




     BOX 7


       Ineffective Monitoring of SOEs – Congo Telecom
       The SOE, Congo Telecom, (and its predecessor)104 has struggled in the telecommunications
       market since liberalization in 1997, requiring capital injections by the state, but accounting
       practices were entirely inadequate to allow for effective monitoring. Congo Telecom’s competitive
       struggles stand out in a sector of rapid growth, increased efficiency, and adaptation of innovations.
       Its predecessor started as a monopoly and a good deal of the telecommunication infrastructure was
       destroyed by the civil war in 1997.105 Congo Telecom focused on its fixed-line monopoly and failed to
       capitalize on the initial rise of the mobile market. In 2007, the company had to suspend salary payments,
       and in 2010, still overstaffed, Congo Telecom faced bankruptcy.106 It was able to survive (albeit with
       direct capital infusion by the state)107 by shifting its focus towards fiber optics and relying on the use of
       the fiber optics infrastructure which is managed by the Direction Générale des Grands Travaux.108 By
       2015, Congo Telecom was no longer losing money.109 The true extent of its financial troubles and the
       extent to which it was being outcompeted by the private sector were not fully apparent at the time,
       however. The company’s accounting practices were entirely inadequate. As of 2018, Congo Telecom
       operated without a budget for more than a decade and does not have certified financial statements
       from that time.110 It changed management in 2020, however, and reforms are being considered that
       would improve accounting practices, including the listing of Congo Telecom on the regional stock
       exchange.111




97
   2022 SOE Checklist Survey for Congo. An exception is the recent requirement that SOEs report their debt twice annually to the Caisse congolaise d’amortissement.
Rapport annuel sur la dette publique, (2021), p. 38, available at https://www.finances.gouv.cg/fr/rapport-annuel-sur-la-dette-publique-2021.
98
    See CNC Website, https://cnc-congo.cg/.
99
    Evaluation de la Gouvernance des Entreprises du Portefeuille Public, WBG (2018). SOEs can also be audited by the Cour des Comptes et de Discipline Budgétaire
(CCDB), see Law No. 022-1992 of Aug.t 20, 1992), but such audits are also not regularly conducted, See Loi des finances: contraindre les entreprises publiques
à reverser les taxes à l’Etat, Agence d’information d”Afrique Centrale (Dec. 11, 2021), available at https://www.adiac-congo.com/content/loi-des-finances-
contraindre-les-entreprises-publiques-reverser-les-taxes-letat-133085.
100
     Corporate Governance of State-Owned Enterprises: A Toolkit, WBG (2014), pp. 35-36. Subjecting select SOEs to credit rating assessments can also be a powerful
tool in increasing financial transparency. See Vietnam Electricity (EVN) Achieves its First and Positive Credit Rating from Fitch Ratings, WBG (Jun. 7, 2018).
101
    These efforts focus on addressing the limited coverage on SOE debt and financial performance and are supported by the performance and policy actions under
the World Bank’s Sustainable Development Finance Policy as well as by the IMF. There has also been recent movement toward listing Congolese on the regional
stock exchange. In 2020, Congo presented the regional Central Bank, BEAC, with a list of SOEs—Congo Telecom, E2C, CEC, and SNDE. Le Congo veut introduire
quatre entreprises à la BVMAC , African Markets (Jan. 15, 2021), available at https://www.african-markets.com/fr/actualite/afrique-centrale/congo-brazzaville/
le-congo-veut-introduire-quatre-entreprises-a-la-bvmac. The process of preparing for public listing could present the opportunity to increase accounting
transparency.
102
     2022 SOE Checklist Survey for Congo. See also, e.g., Rapport des commissaires aux comptes sur les états financiers annuels et Spécial sur les conventions
réglementées de la SNPC - exercice clos 2020 (auditing the SOE SNPC using OHADA standards), available at https://www.finances.gouv.cg/fr/type/rapport.
103
     OHADA Uniform Act on Accounting Law and Financial Reporting (2017).
104
     Congo Telecom until 2009 was known as Société des Télécommunications du Congo (SOTELCO), which in turn derived from the telecommunications division of
Office National des Postes et Telecommunications (ONPT).
105
     Public-Private Partnership in Telecommunications Infrastructure Projects: The Case of the Republic of Congo, WBG (2010), p. 10.
106
     The Republic of Congo’s Infrastructure, WBG (2010), pp. 15–16.
107
     Congo Telecom received a subsidy of CFAF 500 million in 2014. Evaluation de la Gouvernance des Entreprises du Portefeuille Public, WBG (2018).
108
     Evaluation de la gouvernance des entreprises du portefeuille public, WBG (2018), ¶ 134.
109
     Id. at ¶ 133.
110
    Id. at ¶ 131.
111
    Le Congo veut introduire quatre entreprises à la BVMAC , African Markets (Jan. 15, 2021).




                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                73
CHAPTER 3 Boosting Productivity through Competition




3.2.2 SOEs receive some preferential treatment relative to
private sector firms
Although Congolese commercial law formally treats SOEs identically to private sector firms, the regulatory
treatment of SOEs differs in practice. SOEs are not provided legal exceptions related to competition, public
procurement, regulatory requirements, taxation, or insolvency laws.112 There is some evidence, however, of SOEs
failing to pay taxes without clear repercussions.113 In 2018, for example, Congo Telecom had accumulated tax
debt (both value added tax and corporate income tax) despite having operated at a profit.114 In 2020, SNPC
also had accumulated tax debts of about US$1,849,000 despite having operated at a profit for the previous
two years.115

SOEs receive certain advantages in the form of debt guarantees and outright subsidies that are not granted
to the private sector.116 Although the government has not guaranteed SOE debt recently,117 it had done so in a
substantial way until a few years ago. For example, the government guaranteed CFAF 184 billion in 2014 and 222
billion in 2016 for l’Assurance et Réassurance du Congo.118 There are no rules that provide criteria for granting
direct or indirect subsidies to public and private companies to minimize competition distortions, and the state
does occasionally inject funds into public enterprises without a clear process. As an example, the struggling
railway SOE, Chemin de Fer Congo-Océan, received CFAF 8.7 billion in 2012 and 5.6 billion in 2016 (about
US$17.4 million and 9.5 million respectively119).120 On the other hand, SOE subsidies are substantial enough to
undermine government fiscal health. For example, the large energy SOEs, Congolaise de Raffinage (CORAF, an
oil refinery)121 and Centrale Électrique du Congo (CEC, a natural-gas fired power plant), together received over
three percent of GDP in subsidies during 2018 and 2019 and over one percent in 2020 and 2021 (Figure 27). The
reduction of subsidies to CORAF after 2019 is the result of reform efforts that included regular auditing and a
performance contract.122 Energy subsidies are expected to further increase in 2022 as a consequence of the war
on Ukraine.


No process ensures that sovereign debt guarantees or budget subsidies are not propping up inefficient
firms. Subsidies can be granted without assessing the competitiveness of the SOE. In particular, the DGPP
manages state aid to public enterprises, and it is not subject to any rules requiring it to take into account
distortionary market effects.123 For an example of the implementation of a state-aid framework that requires
authorization of a competition authority, see Annex 1 describing the framework of Moldova.


Moreover, there is no pre-established procedure for assessing the advisability from a competition
standpoint of either creating an SOE or divesting from an SOE.124 The Congolese government is presently
considering the divestment from certain SOEs and may list four major SOEs on the regional stock exchange,


112
    2022 SOE Checklist Survey for Congo; L’acte uniforme de l’OHADA portant organisation des procédures collectives d’apurement du passif (Sept., 2015), art. 1-1.
113
    This is also true for private sector firms.
114
    Evaluation de la Gouvernance des Entreprises du Portefeuille Public, WBG, (2018), ¶ 135. It is difficult to gauge whether and to what extent SOEs might be
privileged over private firms with respect to tax collection because of ineffectiveness in the collection of tax arrears from the private sector as well as from SOEs.
115
    Rapport des commissaires aux comptes sur les états financiers annuels et Spécial sur les conventions réglementées de la SNPC - exercice clos 2020, pp. 7, 38,
available at https://www.finances.gouv.cg/fr/type/rapport.
116
    There are instances of public money going to private competitors. For example, the government supports micro, small, and medium enterprises through the
Guarantee and Support Fund (Fonds d’Impulsion, de Garantie et d’Accompagnement, https://www.figa.cg/acceuil.html. However, it is important to note that any
differential treatment of SOE vis-à-vis private sector would require assessing whether SOE and private firms operate under similar market conditions.
117
    2022 SOE Checklist survey for Congo. At present guarantees for SOEs are minimal. Evaluation de la Gouvernance des Entreprises du Portefeuille Public, WBG
(2018). For example, none of the ten largest SOEs presently hold guaranteed debt. Rapport annuel sur la dette publique, Caisse Congolaise d’Amortissement
(2021), p. 40, available at https://www.finances.gouv.cg/fr/rapport-annuel-sur-la-dette-publique-2021.
118
    Evaluation de la Gouvernance des Entreprises du Portefeuille Public, WBG (2018).
119
    Using an average exchange rate of 0.002 US$/CFAF in 2012 and 0.0017 US$/CFAF in 2016.
120
    Evaluation de la Gouvernance des Entreprises du Portefeuille Public, WBG (2018).
121
    CORAF is an oil refinery and subsidiary of wholly state-owned SNPC. CEC operates a gas power plant and is 80 percent state-owned. As a comparison, state aid
expenditure in the European Union member states with larger available public budgets remained below one percent of GDP at the Union level (2019). See: https://
ec.europa.eu/competition-policy/system/files/2021-06/state_aid_scoreboard_note_2020.pdf
122
    Republic of Congo: Staff Report for the 2021 Article IV Consultation, IMF (Sept. 13, 2021); Republic of Congo: Request for a Three-Year Arrangement Under the
Extended Credit Facility, IMF (Jan. 10, 2022). Transfers to CEC were also conditioned on its realized earnings and expenses. Id.
123
    2022 SOE Checklist survey for Congo. In theory, Congo’s subsidies of SOEs are subject to monitoring by CEMAC, which has exclusive jurisdiction to enforce
a law designed to prevent anti-competitive subsidies. Regulation No. 06/19‐UEAC‐639‐CM‐33, arts. 83-101 (Apr. 7, 2019), available at http://www.droit-afrique.
com/uploads/CEMAC-Reglement-2019-06-concurrence.pdf; Id. at art. 20(b) (exclusive CEMAC jurisdiction). On paper, this legislation resembles that of Moldova,
outlined in Annex 1 – subsidies and indirect state aid is to be disallowed where market distortions are not justified by countervailing public interest. Id . at art. 82. In
reality, this law seems not to have been enforced. The CEMAC Website, for example, shows no signs of monitoring SOE subsidies. https://www.cemac.int/Accueil,
at writing, only available at https://web.archive.org/web/20220327091126/https://www.cemac.int/Accueil.
124
    2022 SOE Checklist Survey for Congo; 2021 Investment Climate Statements: Republic of the Congo, U.S. Department of State.




74     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                           CHAPTER 3 Boosting Productivity through Competition




which could result in government partial divestment.125 There does not, however, appear to be any systematic
process by which divestment decisions are evaluated with respect to their effect on the competitiveness of
markets.


FIGURE 27
Transfers and subsidies to CORAF and CEC SOEs are substantial
Transfers and subsidies to CORAF and CEC SOEs as % GDP, 2018-2021

5


               Combined                                Combined
4
             CFAF 264 billion                        CFAF 267 billion

3


2
                                                                                               Combined                              Combined
                                                                                             CFAF 66 billion                       CFAF 78 billion
1


0
                    2018                                    2019                                   2020                                   2021

                                             CEC Operations (% of GDP)               CORAF Transfers (% of GDP)

Source: National authorities. June 2022.




3.3 Regulatory restrictions to competition
distort markets in key areas
Many key sectors in Congo’s economy are dominated by SOEs and characterized by price controls. The
largest SOE, wholly owned by the state, the Société Nationale des Pétroles du Congo (SNPC), manages and
commercializes government shares of oil production, and its subsidiary, CORAF, refines most of the oil. The
water market is a monopoly of La Congolaise des Eaux, which is majority state-owned. SOEs also have a large
presence in transport, with the wholly state-owned Société Chemin de Fer Congo-Océan as a monopolist in
rail transport and government stakes in the company managing airports (Aéroports du Congo) and providing
road infrastructure (La Congolaise des Routes). Price controls are prevalent in key industries, with, for example,
the government regulating retail prices of petroleum products, water, electricity, and retail and wholesale
telecommunications tariffs.


This section further examines the telecommunications and electricity sectors. Because telecommunications
and electricity are network industries, typically subject to high entry barriers, entry is often difficult and can be
more difficult in the absence of effective regulations to facilitate entry and sanctions on exclusionary practices
of incumbents. Thus, both pro-competitive ex ante regulation and ex post enforcement of competition policy
are important (see Annex 2 for a summary of government holdings in telecommunications and electricity, as
well as the other network sectors of gas and water). Moreover, telecommunications and electricity are enabling
sectors—sectors necessary for the efficient function of other industries. In particular, both sectors are crucial
to the digital economy, which Congo has recognized as a priority for economic diversification and growth.
While in-depth competition assessments are warranted, the analysis below will provide several high-level entry
points to stimulate the discussion on the role of competition and regulation to enhance market outcomes
for consumers. (See Chapter 4: Boosting Productivity through Digital Technology and Improved Access to
Electricity for a more detailed analysis of access to electricity and the digital transformation).


125
   See Marché financier d’Afrique centrale: 10 candidatures pour l’entrée en bourse, Jiongo (EcoMatin) (Apr. 28, 2022), available at https://ecomatin.net/marche-
financier-dafrique-centrale-10-candidatures-pour-lentree-en-bourse/.




                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification              75
CHAPTER 3 Boosting Productivity through Competition




3.3.1 Electricity sector has not attracted needed private
participants

Efforts to open the electricity sector to private-sector participants have largely failed. Electricity production,
transmission and distribution are all considered to be public services under the authority of the state and each
of these sectors is dominated by direct government participation in the market.126 The electricity sector was
theoretically opened up to private sector participation by reforms introduced in 2003 (with further reforms
in 2017),127 which allowed for private participants in the electricity industry and created a regulator, l’Agence
de Régulation du Secteur de l’Électricité (ARSEL), to oversee market dynamics and ensure regulation of the
sector.128 These reforms also attempted to make private sector participation feasible by requiring that private
sector competitors could access the existing grid by requiring operators to provide third-party access to
transport and distribution networks at prices regulated by ARSEL.129,130


These reforms were not sufficient to encourage private sector participation, and there are no private sector
companies that act as independent competitors in the electricity market. The SOE, Énergie Electrique du
Congo (E 2C), which evolved from the state electricity monopoly,131 remains the only player in transmission and
distribution.132 In production, E 2C accounts for 36.5 percent133 of the market in 2018 through its operation of
hydroelectric plants.134 The largest producer is Centrale Electrique du Congo (CEC) (484 MW installed capacity
of gas turbines), which is 80 percent state owned with the remaining 20 percent owned by the international
energy firm, ENI.135 Under the 2003 Electricity Code,136 the government can delegate public service activities in
the electricity sector to the private sector through a license or concession following a public tender.137 Hence,
there is no general authorization system allowing private operators to operate independently in potentially
competitive segments of the electricity sector.138 Furthermore, the nature of delegation contracts may be
unattractive to private-sector operators. The contracts may have a span of up to 30 years, but after its term, the
contract must be tendered-out again.139 More importantly, the government retains broad powers to revise the
terms of the contract creating uncertainty for investors.140


E2C’s monopoly in electricity transmission may discourage any future competition in production and
distribution. Despite Congo’s consideration of reforms in recent years,141 E 2C presently is an electricity producer
as well as holding monopolies in transmission and distribution. Lack of vertical separation between the
transmission sector—which is typically considered a natural monopoly—and production and distribution can
allow the transmission incumbent to foreclose market entry into production and distribution.142 Although in
smaller electricity markets such as Congo’s, complete vertical separation is not always desirable, options other
than “structural” separation or complete separation of ownership which can support more competition. Legal



126
    Electricity Code, Law No. 14-2003 (Apr. 10, 2003), art. 7.
127
    Id. Decree No. 2017-247 (Jul. 17, 2017) (setting delegation procedures); Decree No. 2017-248 (Jul. 17, 2017) (setting the conditions for independent electricity
production); Decree No. 2017-252 (Jul. 17, 2017) (setting pricing principles).
128
    Law No. 16-2003 (Apr. 10, 2003).
129
    Electricity Code, Law No. 14-2003 of (Apr. 2003), arts. 46–50; Decree No. 2017-248 (Jul. 17, 2017), art. 11.
130
    For an overview of the typical framework for the competition analysis of electricity sectors, see Annex 3.
131
    E2C was formed from the fully state-owned Société Nationale d’Electricité in 2018. Law No. 22-2018 (Jun. 13, 2018).
132
    Le cadre legal et réglementaire du secteur de l’éctricitricité en République du Congo, Sancy Lenoble Matschinga, available at https://www.village-justice.com/
articles/cadre-legal-reglementaire-secteur-electricite-republique-congo,38981.html; 2022 Survey for Congo (following an abbreviated OECD PMR template).
133
     Percentage calculated from United States Energy Information Administration data. Congo Brazzaville’s net electricity generation by fuel type, available at
https://www.eia.gov/international/analysis/country/COG.
134
    These include Imboulou (120 MW), Moukoukoulou (74 MW), Djoué (14 MW), and Liouesso (19.2 MW). Centrales de Production de la Electricité, E2C, http://e2c.
cg/nos-metiers/production/. ENI also constructed the Centrale Électrique du Djeno (CED) plant (gas turbines; 170 MW). Congo-Brazzaville, U.S. Energy Information
Administration (May 12, 2021), https://www.eia.gov/international/analysis/country/COG.
135
    Centrale Electrique du Congo (CEC) Pointe-Noire Power Plant, Republic of the Congo, Power Technology (Jan. 11, 2022), https://www.power-technology.com/
marketdata/centrale-electrique-du-congo-cec-pointe-noire-power-plant-republic-of-the-congo/.
136
    While these contracts are termed “contrats de délégation,” they resemble concession contracts in that the law contemplates the delegation to a private-sector
participant of management of an entire enterprise, such as a hydroelectric plant.
137
    Electricity Code, Law No. 14-2003 of (Apr. 2003), arts. 23–25; Decree No. 2017-247 (Jul. 17, 2017).
138
    Id. at arts. 9, 23. Furthermore, the Electricity Code restricts the possibility of delegation to Congolese firms. In particular, the delegate must be “une ou plusieurs
personnes publiques ou privées de droit congolaise,” id. at art. 23. There is no prohibition of foreign ownership of delegates, but to the extent that incorporating
a subsidiary in Congo is a difficult step, this restriction might dissuade private sector participation.
139
    Id. at art. 30; Decree No. 2017-247 (Jul. 17, 2017), art. 11.
140
    Id. at arts. 31, 32.
141
    Congo Republic plans to dissolve state power, water utilities, Elion (Reuters) (Feb. 2, 2018), available at https://www.reuters.com/article/us-congorepublic-
utilities/congo-republic-plans-to-dissolve-state-power-water-utilities-idUSKBN1FM2JP.
142
    See Revu des réformes de sectuer de l’éctricité en Afrique, African Development Bank (2018), figure 5, available at https://www.afdb.org/sites/default/files/
documents/publications/power_reforms_report_french.pdf.




76     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                            CHAPTER 3 Boosting Productivity through Competition




                                                                                                                                                                       © belinda_bw/bigstockphoto.com
separation (creating separate legal entities under the same ownership), functional separation (putting functions
of a single entity under separate management), and accounting separation (keeping distinct accounts for
different functions of a single firm)143 can be considered. Another approach is the effective enforcement of
third-party access obligations,144 which can serve to prevent the vertically integrated firm from leveraging its
market power to restrict a competitor’s access to infrastructure.


Retail tariffs on electricity are set at levels that are far below the cost of production, and the market
experiences shortages and poor quality of service. In addition to the large SOE foothold, the government
also intervenes in the energy market through price controls. Wholesale and retail tariffs are subject to price
controls, which prevent E 2C from covering its costs, leaving it without the resources to invest in the infrastructure
necessary to meet increasing demand. Demand has grown rapidly in recent decades. Electricity production
increased by 6.7 times (3.3 million MWh vs. 0.5 million MWh) between 1990 and 2017, but such an increase is
not enough to keep up with demand. In January of 2021, for example, electricity demand was at about 550MW,
and the supply from Congo’s main power stations was about 400MW. Because of this excess demand, E 2C
must practice load shedding—with resulting power outages—in its distribution practices. It is not surprising
that supply fails to keep up with demand, because both retail and wholesale tariffs are set by the government
at levels far below the cost of production (see Chapter 4 for more details). Below-cost prices can be expected
to lead not only to shortages but also to operators providing a far lower quality of service than they would if
incentivized by higher, market-based pricing.


The extent and nature of government subsidies to the electricity market are not readily apparent. Given
that retail tariffs are below cost, it seems clear that E 2C’s activities in the electricity sector are being subsidized,
but such subsidies are not transparent. Many countries provide subsidies to the electricity sector to foster
development or to benefit poorer customers.145 Subsidies, however, should be based on clearly defined public
service obligations and unit costs of service provision. Without such criteria and transparency, it is difficult
to know whether the subsidies are justified by their social objectives. It is especially important in attracting
the entry of efficient private-sector participants that subsidies (and performance requirements) are clearly
understood by potential entrants and can be relied upon to recoup investment.




143
    See Restructuring Public Utilities for Competition, OECD (2001), pp. 18-19. Accounting separation, the weakest form of vertical separation, has no direct effect
on competitive behavior, but it may aid regulators in enforcing third-party access because the accounting of the vertically integrated firm may provide information
useful in setting access pricing. Id.
144
    Third-party access is provided for in Decree No. 2017-248 (Jul. 17, 2017), arts. 11-12.
145
    See, e.g., World Bank Group Support to Electricity Access, FY2000-2014, WBG (2014), available at https://ieg.worldbankgroup.org/sites/default/files/Data/
Evaluation/files/Electricity_Access.pdf.




                                                        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                77
 CHAPTER 3 Boosting Productivity through Competition




 3.3.2 Mobile telecommunications suffer from a lack of
 competition

 The mobile telecommunications market, both mobile and mobile internet along with the related market
 of mobile money, is highly concentrated. Congo’s market is presently served by just two firms, MTN Congo
 and Airtel. The largest telecommunications market is mobile telephony, with CFAF 130,903 million in revenue
 for 2021. The markets for mobile internet and mobile money—while highly important markets as enablers
 for other sectors of the economy—are small in comparison with CFAF 55,819 and 15,750 million in revenue
 respectively for 2021.146 As can be seen in Figure 28, in each of these markets, MTN Congo dominates Airtel,
 with more than two-thirds share of market revenue. Other end markets in telecommunications are small in
 comparison to mobile telecommunications. The market for fixed-line telephone is a monopoly of Congo
 Telecom—the state-owned descendant of the state-owned monopoly in telecommunications.147 But as of
 2020, there were only 17,650 fixed-line subscribers. The internet is accessed almost exclusively through
 mobile. Fixed broadband is available, but there were only about 28,900 subscribers as of the end of 2021.148
 While high market concentration is not necessarily indicative of a lack of competition, other factors are
 important to gauge the risks of market distortions, such as high structural and regulatory barriers to entry,
 including technology features and associated investment costs. Highly concentrated markets can still be
 competitive if they are contestable.149 In such markets, incumbent firms face a higher threat of entry, whether
 the threat is actual or perceived (See Section 4.1 for extended discussion and Annex 4 for an overview of the
 typical framework for competition analysis of mobile telecommunication sectors).




 FIGURE 28
 Mobile telecommunication market is concentrated among two operators

  Revenue Market Share by Revenue: Mobile, Mobile Internet, Mobile Money, 2021

                   140,000
                                                                                                                                                              Airtel
                   120,000                                                                                                                                    MTN
                                              29.4%
Millions of CFAF




                   100,000

                    80,000

                    60,000

                                              70.6%                                       33.5%
                    40,000

                    20,000                                                                66.5%                                            18.3%
                                                                                                                                           81.7%
                        0
                                              Mobile                                  Mobile Internet                                 Mobile Money
                                           (HHI = 5,852)                               (HHI = 5,545)                                  (HHI = 7,022)



 Notes: HHI is the Herfindahl-Hirschman Index, a measure of market concentration calculated by adding the squares of percentage market share across all market
 participants. The index is 10,000 for a complete monopoly and goes down toward zero with increased competition. Competition authorities in the United States consider
 markets with an HHI over 2,500 to be highly concentrated. Horizontal Merger Guidelines 2010; U.S. Department of Justice and Federal Trade Commission (2010).
 Source: WBG staff calculations based on data from arpce.cg. June 2022.




 146
     Data from Rapport 2021 du marché de l’internet mobile, ARPCE; Rapport 2021 du marché de la téléphonie mobile, ARPCE; La Grand’Actu du Régulateur
 (Newsletter), ARPCE (Dec. 2021), available at https://www.arpce.cg/rapports; https://www.arpce.cg/bulletins-mensuels.
 147
     Congo Télécom, was born from the dissolution of SOTELCO (Société des Télécommunications du Congo), itself created after the break-up of the ONPT (Office
 National des Postes et Télécommunications ).
 148
     Teleogeography Congo Report, Telegeography (Dec. 2021 and Apr. 2022).
 149
     Markets are contestable if there are no sunk costs such that barriers to entry and exit are low and potential entrants have equal access to the relevant technology
 as incumbents.




 78                  Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                       CHAPTER 3 Boosting Productivity through Competition




 The liberalization of the telecommunications sector had initial
 success in attracting private-sector entrants, and it is only over
 the last decade that key telecommunications markets have been
 reduced to duopolies. Congo introduced competition into the
 telecommunications sector in 1997 (Law No. 14-97), and the national
 operator Congo Telecom, wholly owned by the state, has been
 surpassed by private operators. The present duopolists, MTN Congo                                                                 Despite continued
 and Airtel, were first to enter the liberalized market, but they were                                                             growth in the
 joined by in 2008 by UAE-based Warid, and in 2010, Equateur Telecom
 Congo (doing business as Azur) entered as well. As can be seen in
                                                                                                                                   telecommunications
 Figure 29, Azur never managed to capture much of the market, but                                                                  market, Congo
 Warid was rapidly gaining market share until it was acquired by Airtel                                                            has somewhat low
 in 2014. Azur remained longer, but as of the end of 2017, Azur’s market
 share had dwindled to about three percent, and by 2020, MTN and
                                                                                                                                   mobile penetration,
 Airtel were the only remaining market players.150                                                                                 a relatively low rate
                                                                                                                                   of internet access,
 The promising initial results of liberalizing the telecommunication
 market enabled the rapid growth of mobile use. By 2010, with three
                                                                                                                                   and unusually high
 firms in the mobile market, mobile telephony penetration was relatively                                                           tariffs for mobile
 high in Congo. As measured by subscriptions per 100 people, the                                                                   internet.
 Congolese mobile market initially grew at a much higher rate than sub-
 Saharan Africa as a whole (Figure 30). After 2010, however, the growth
 of the Congolese market fared less well, and by 2020, subscriptions
 had fallen to about the level of the sub-Saharan Africa average. After
 the market became dominated by MTN and Airtel, there has been a
 steady drop in voice subscriptions (Figure 30).




 FIGURE 29                                                                                      FIGURE 30
 Early mobile market competition with four                                                      Mobile telephony penetration has faded
 competitors                                                                                    after a decade sharp increase
 Number of Subscribers by Companies, 2010-2017                                                  Subscriptions per 100 People, 2000-2020

                       4,000                                                                    120

                       3,500
                                                                                                100
                       3,000
Subscribers (1,000s)




                                                                                                 80
                       2,500

                       2,000                                                                     60

                       1,500
                                                                                                 40
                       1,000
                                                                                                 20
                        500

                          0                                                                        0
                                2010


                                       2011


                                               2012


                                                       2013


                                                              2014


                                                                      2015


                                                                             2016


                                                                                    2017




                                                                                                       2000

                                                                                                              2002

                                                                                                                     2004

                                                                                                                            2006

                                                                                                                                   2008

                                                                                                                                          2010

                                                                                                                                                 2012

                                                                                                                                                        2014

                                                                                                                                                               2016

                                                                                                                                                                      2018

                                                                                                                                                                             2020




                               MTN            Airtel          Warid             Azur                                   Congo               Sub-Saharan Africa

 Source: arpce.cg. June 2022.                                                                   Source: ITU/ICT Database. June 2022.




 150
    Warid launches third mobile operator in Congo, Reuters (Jan. 14, 2008), available at https://www.reuters.com/article/congo-telecoms/warid-launches-third-
 mobile-operator-in-congo-idUSL147875420080114. Equateur Telecom Congo launches commercial services, Comms Update (Sept. 16, 2010). Airtel Congo finalizes
 acquisition of Warid Congo, Comms Update (Jun. 4, 2014) available at https://www.commsupdate.com/articles/2014/06/04/airtel-congo-finalises-acquisition-of-
 warid-congo/ Rapport 2017 du marché de la telephonie mobile, ARCPE, available at https://www.arpce.cg/upload/publications/Rapport-2017-du-Marche-de-la-
 Telephoniet-Mobile.pdf.




                                                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification              79
CHAPTER 3 Boosting Productivity through Competition




Growth in mobile internet also seems to have faltered under the MTN-Airtel duopoly, and prices in that
market remain high. Growth in internet use in Congo initially kept pace with the rest of sub-Saharan Africa but
then fell behind after 2009 (Figure 31-a). Internet use in Congo remains somewhat low as of 2021 relative to
comparator countries, with Congo’s 25 percent of total population exceeding only Angola (Figure 31-b). Tariffs
for mobile internet (Figure 32) are high relative to comparator countries. The 2021 price of one GB of data in
terms of percentage monthly GNI per capita (3.7 percent) was well above structural peers (2.3 percent), more
than three times as high as regional peers (1.2 percent) and more than five times as high as aspirational peers
(0.72 percent).151


FIGURE 31
Congo lags in terms of internet users
a. Internet Users - Congo and Sub-Saharan Africa (% of population),                                      b. Unique Mobile Internet Subscribers (% of population), 2021
1991-2017
25                                                                                                       100


20                                                                                                        80


15                                                                                                        60


10                                                                                                        40


 5                                                                                                        20


 0                                                                                                           0
     1991

            1993

                   1995

                          1997

                                 1999

                                        2001

                                               2003

                                                      2005

                                                              2007

                                                                     2009

                                                                            2011

                                                                                    2013

                                                                                           2015

                                                                                                  2017




                                                                                                                    Angola

                                                                                                                             Congo

                                                                                                                                           Iraq

                                                                                                                                                       Cameroon

                                                                                                                                                                     Mauritania

                                                                                                                                                                                  Nigeria

                                                                                                                                                                                              Ghana

                                                                                                                                                                                                          Azerbaijan

                                                                                                                                                                                                                       Timor-Leste

                                                                                                                                                                                                                                     Indonesia

                                                                                                                                                                                                                                                     Vietnam

                                                                                                                                                                                                                                                                   Malaysia
                           Congo                      Sub-Saharan Africa


Source: ITU/ICT database. June 2022.                                                                     Source: Global System for Mobile Telecommunications. June 2022.




FIGURE 32
The uptake of mobile internet services in Congo remains hampered by high prices
a. Mobile Broadband Price (% of monthly GNI per capita), 2021                                            b. Price of 1GB mobile data (% of monthly GNI per capita)
                                                                                                         - A4AI 2020
35                                                                                                       6

30                                                                                                       5

25
                                                                                                         4
20
                                                                                                         3
15
                                                                                                         2
10

 5                                                                                                       1

 0                                                                                                       0
            Congo                Regional               Structural                 Aspirational
                                                                                                                 Congo


                                                                                                                             Timor-Leste


                                                                                                                                              Angola


                                                                                                                                                                  Cameroon


                                                                                                                                                                                    Nigeria


                                                                                                                                                                                                      Ghana


                                                                                                                                                                                                                       Indonesia


                                                                                                                                                                                                                                           Vietnam


                                                                                                                                                                                                                                                               Malaysia




                                  Peers                   Peers                      Peers


     100MB                500MB            1GB               2GB            5GB            10GB


Source: Alliance for Affordable Internet. a4ai.org/2021/mobile_broadband_pricing_usd. June 2022.



151
    Mobile Broadband Pricing: Data for 2021, Alliance for Affordable Internet (A4AI), available at https://a4ai.org/extra/baskets/A4AI/2021/mobile_broadband_
pricing_gni. A comparison in terms of US$ yields similar results: the 2021 Congolese price of one GB of data (US$10.11) was more than three times the price average
of regional peers (US$2.65), and more than twice as high as structural peers (US$4.85) and aspirational peers (US$ 3.11).




80     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                        CHAPTER 3 Boosting Productivity through Competition




                                                                                                                                                         © unsplash.com
Competition in the mobile telecommunications market could be enhanced by more effective regulation.
Congo does have a regulatory structure that, if properly applied, could encourage more intense competition.
There are signs that the implementation of the third-party access provisions is not sufficiently credible to market
players. In 2009, legislation was passed with extensive procompetitive provisions, and with the provision for a
sector regulator, Regulatory Agency for Posts and Electronic Communication (Agence de Régulation des Postes
et Télécommunications Electroniques, ARPCE), to enforce those provisions. Mobile phone interconnection is
mandatory. Mobile virtual network operators are allowed, although currently there are none because of the
small size of the market. The tariffs for mobile telephony interconnection and rates for international roaming
are monitored by ARPCE to ensure firms charge one another at reasonable rates. Congo also requires the
operator with significant market power to share essential infrastructure such as fiber optic networks. ARPCE
does actively require third-party access to infrastructure, and such access is used by mobile operators. In
particular, both MTN and Airtel access the fiber-optic backbone controlled by Congo Telecom. There is some
indication, however, that MTN and Airtel are not able to rely on reasonable pricing and conditions for this access
because they have both chosen to develop their own lower-speed microwave backbones.152




152
      Law 9-2009 (Nov. 25, 2009). 2022 Survey for Congo (following OECD template).




                                                        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   81
CHAPTER 3 Boosting Productivity through Competition




Congo does not provide for mobile number portability. Mobile number portability allows consumers to
switch providers while retaining their existing numbers. Portability potentially fosters competition by reducing
consumers’ switching costs and can thus lower prices. Such a reduction of switching costs could not only
increase competition between MTN and Airtel but also encourage the entry of new firms.153 It can be difficult to
implement a successful mobile number portability system, however, and procompetitive effects may be muted
in markets such as Congo where consumers are accustomed to using multiple numbers through multiple SIM
cards.154


While the ARPCE is empowered to enforce many pro-competitive provisions, it is also able to enact controls
on retail tariffs and has done so. ARCPE has the authority to regulate tariffs of operators with more than a 25
percent market share in the product at issue or if there is proof that the price charged does not arise from free
competition.155 ARCPE is able to set both minimum and maximum prices, with the stated purpose of preventing
cost-subsidization between services.156 In 2011, ARCPE fixed a minimum tariff for on-net mobile telephone calls
and for outgoing international telephone calls. As ARCPE explained it, the price floor resulted in a significant
improvement in the market, with profits to operators returning to normal levels.157 In 2018, with only MTN and
Airtel left in the market, ARPCE again set minimum tariffs: CFAF 4 for a megabyte of mobile internet and
CFAF 25 for a minute of a mobile voice call.158 The concern was that prevailing prices were lower than ARPCE’s
calculations of firms’ costs.159

There are instances where price setting in telecommunications markets is
appropriate, but ARPCE’s price-setting authority is overly broad. Setting                                                       Congo
maximum retail tariffs could be appropriate in telecommunications markets
where there is no competition to maintain efficient pricing. Regulating
                                                                                                                                does have a
access pricing where competitors provide each other with access to essential                                                    regulatory
infrastructure is also necessary to avoid exclusionary behavior. But setting                                                    structure that,
minimum retail tariffs can stifle incentives to compete. There are limited
instances in which a company’s decision to set a price too low is of competitive
                                                                                                                                if properly
concern. Under exceptional circumstances, a dominant company might set a                                                        applied, could
price below cost in order to drive a competitor out of the market. In the instance                                              encourage
of ARPCE’s minimum retail tariffs, given the unlikelihood that either MTN or
Airtel (both with stable and significant market share) could lower prices with
                                                                                                                                more intense
the expectation of driving their competitor out of the market, the price floor is                                               competition.
likely to result in higher tariffs for consumers with no off-setting benefits.


Because telecommunications are a complex, network industry, ex-ante regulation may not always be
enough to avoid anticompetitive outcomes. A robust national competition enforcement would help foster
a competitive environment. The 2014 merger between Airtel and Warid, for example, reduced the market
operators to two players and eliminated a competitor with a significant and growing market share (Figure 29).
But there is no indication that there was any regulatory oversight that systematically gauged the competitive
effects of the merger. An effective competition policy would require both an ex-ante merger review to prevent
mergers that would substantially lessen market competition and ex post enforcement against anticompetitive
agreements and abuse of dominance. In the absence of an effective competition law framework, sector-specific
competition laws could be enacted to be enforced by ARPCE. The Telecommunications Code presently does
not provide for ex ante review of the competition effects of a merger or ex-post control of anticompetitive
behavior.



153
    The ARPCE is currently conducting a study on portability of mobile numbers. 2022 Survey for Congo (following an abbreviated OECD PMR template).
154
    In Botswana, for example, recently abandoned plans to introduce mobile number portability after a study determined that it was not feasible. Mobile number
portability shelved in Botswana, Maramwidze (ITWeb Africa) (Apr. 12, 2021), available at https://itweb.africa/content/GxwQDM1ZXxAqlPVo. See also The Impact of
Telecommunication Regulatory Policy on Mobile Retail Price in Sub-Saharan African Countries, Mothobi, Economic Research Southern Africa working paper, (2017)
(finding no significant price effect from mobile number portability in sub-Saharan Africa). See also Assessment of Mobile Number Portability in Nigeria, Bakare &
Kukuchuku, Intn’l J. of Elect. Comm. and Computer Engineering, Vol. 9, No. 1 (Jan. 2018).
155
    Decree no. 2015-242 (Feb. 4, 2015), art. 6.
156
    Id.
157
    Observatoires, ARCPE, available at https://www.arpce.cg/telephonie-mobile. The price floor was set by Decision No. 001/ARPCE-DG/DAJI/DEM/11 (Jan. 12,
2011).
158
    Internet mobile: de nouvelles dispositions tarifaires au Congo, Agence d’information d’Afrique Centrale (Jun. 2, 2018), https://www.adiac-congo.com/content/
internet-mobile-de-nouvelles-dispositions-tarifaires-au-congo-84189. The price floor was set by Decision No. 048/ARPCE-DG/DAJI/DEM/2018 (Dec. 28, 2018).
159
    Id.




82     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                            CHAPTER 3 Boosting Productivity through Competition




Market growth is potentially dampened by lack of entry. While liberalization of the telecommunications
market had initially promising results, market results under the MTN-Airtel duopoly are less impressive. Despite
continued growth in the telecommunications market, Congo has somewhat low mobile penetration, a relatively
low rate of internet access, and unusually high tariffs for mobile internet. Given the highly concentrated mobile
telecommunications markets, facilitation of entry could improve these market outcomes. Previous research has
found, for example, that in a sample of 40 African countries, the entry of an additional mobile operator led to a
57 percent increase in mobile subscriptions.160 It is critical then to ensure that regulatory practices, such as price
controls, do not soften the competition between the MTN and Airtel and that regulatory policy is designed and
enforced in a manner that encourages possible future entry.




3.4 Current competition rules and
competition enforcement are not enough to
combat cartels and other anticompetitive
practices
Congo does not presently have a comprehensive National Competition Law or a National Competition
Authority, although it has taken tentative steps in this direction. As part of a set of the economic reforms in
1994,161 Congo enacted a law on competition which prohibits anticompetitive agreements but addresses neither
merger control nor abuse of dominance.162 This law does not appear to have been systematically implemented
to regulate competition, and in any case does not set penalties sufficient to discourage the most serious
anticompetitive practices.163


The most promising steps in competition law have occurred at the regional level through CEMAC.164 Formed
in 1994, CEMAC enacted a competition law in 1999 and updated it in 2019.165 Unlike Congo’s 1994 law, CEMAC’s
competition law covers mergers166 and abuse of dominance,167 and allows for significant penalties.168 CEMAC
does have its own enforcement authority, the Conseil Communautaire de la Concurrence (CCC)169 but has not
yet shown signs of enforcement efforts other than merger control.170 Although as of 2020, none of the CEMAC
member states other than Cameroon had either a national competition authority or a national competition
law,171 the CEMAC framework envisions joint enforcement of CEMAC competition law between CCC and national
competition authorities. A national competition law would not be redundant, however, because CCC retains
exclusive jurisdiction over larger mergers and over abuse of dominance and anticompetitive agreements, where
trade between member states is affected.172



160
    Getting Connected: Competition and Diffusion in African Mobile Telecommunications Markets, Gebreab (WBG working paper) (2002).
161
    Law No. 6-94 (Jun. 1, 1994). In 2010, Congo also created the Direction Générale de la Concurrence et de la Répression des Fraudes Commerciales (DGCRFC), but
it does not function as a full-blown competition authority. Decree 2010-40 (Jan. 28, 2010).
162
    Law 6-94 (Jun. 1, 1994). There have been recent efforts to reform law this law, but no new legislation has been enacted. Concurrence: le Congo veut se doter
d’un cadre juridique, Agence d’information d’Afrique Centrale, Dec. 13, 2021, available at https://www.adiac-congo.com/content/concurrence-le-congo-veut-se-
doter-dun-cadre-juridique-133136.
163
    The maximum fine is CFAF 100 million. Law No. 6-94 (Jun. 1, 1994), art. 26.
164
    Other than the regional competition law discussed here, possible future regional developments will affect competition and competition policy. The contemplated
CEMAC unification of services markets would, for the telecommunications market, for example, encourage entry by increasing the size of the market and bring
regulation under CEMAC jurisdiction. The African Continental Free Trade Agreement (AfCFTA) may also incorporate a competition protocol. See, e.g., African
Continental Free Trade Area Phase II Negotiations: A Space for a Competition Protocol?, Gachuiri (UNCTAD working paper) (2020).
165
     Regulation No. 1/99/UEAC-CM-639 (Jun. 25, 1999), replaced by Règlement relatif à la concurrence, Regulation No. 06/19‐UEAC‐639‐CM‐33 (Apr. 7, 2019),
available at http://www.droit-afrique.com/uploads/CEMAC-Reglement-2019-06-concurrence.pdf.
166
    Regulation No. 06/19‐UEAC‐639‐CM‐33 (Apr. 7, 2019), title 4.
167
    Id. art. 33.
168
    Fines are up to 10 percent of worldwide turnover or 20 percent within CEMAC during the previous year or of 75 percent of the profits gained from the prohibited
practice. Fines are doubled for repeat offences. Id., art. 50, 73.
169
    Id. arts. 8–18.
170
    CCC made no enforcement efforts at all until 2016, when it started to accept merger proposals. Merger Control Update, Mayer Brown (Oct. 2016), https://
www.mayerbrown.com/-/media/files/perspectives-events/publications/2016/10/merger-control-update/files/get-the-full-report/fileattachment/161004-update-
antitrust.pdf.
171
    Africa: Harmonising competition policy under the AfCFTA , Dawar & Lipimile, Concurrences, No. 2 (2020), p. 244.
172
    Regulation No. 06/19‐UEAC‐639‐CM‐33 (Apr. 7, 2019), art. 20.




                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                83
                                                                                                 © mtcurado/iStockphoto.com




84   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                         CHAPTER 3 Boosting Productivity through Competition




3.5 Policy options to foster competition
The following policy options will be essential to foster competition and spur productivity. Detailed policy
recommendations are provided in Table 2.




3.5.1 Enhance private sector entry and ensure a level
playing field for private and public operators
Provide a clear economic rationale for State intervention in the market and enhance SOE transparency.
Congolese SOEs do not consistently compete on an even playing field relative to private sector firms. A principle
of subsidiarity governing the creation and maintenance of SOEs in the market to limit direct State intervention
to the supply of essential goods and services that would not be provided by private agents and based on a clear
economic rationale is essential. Enhancing SOE transparency would require: (i) a systematic and transparent
approval process, with clear criteria for the granting of state support measures (direct subsidies, loans at below
market interest rates, and State guarantees) that takes into consideration any market distortions likely to be
caused by such measures, and (ii) a process by which SOE audits are systematically carried out by reputable
international auditing firms to minimize risks of cross-subsidization and market distortions.


Promote the implementation of the competitive neutrality principle in Congo’s legislation. Key reforms
would include: i) introducing an accounting separation between SOEs’ commercial and non-commercial
activities; ii) adopting clear compensation mechanisms for public service obligations carried out by SOEs; iii)
mandating that SOEs earn rates of return comparable to the private sector under similar market conditions;
v) ensuring that SOEs do not receive preferential treatment in the application of regulation or the granting of
procurement contracts; and iv) avoiding preferential treatment of SOEs through direct subsidies, preferential
loans, forgiveness of debts, or other privileges that are not available to the private sector.




3.5.2 Promote pro-competitive regulation in selected
sectors: electricity and telecommunications
Electricity. Undertake a regular review of tariff rates to ensure tariffs support the financial viability of participants
in the sector. Tariffs need to be set at levels that allow firms to cover their operating costs, reinvest, and maintain
or improve quality of service. Ensure transparency in subsidies granted to electricity sector participants and the
performance obligations required of them to attract private-sector participation in the production sector and,
possibly in the longer term, the distribution sector.


Telecommunication. Consider reducing the role of the State in the telecom sector by ensuring that all of
Congo Telecom’s activities are based on a strong economic rationale and subject to market discipline. This can
be achieved temporarily through management arrangements or permanently through divestment strategies.
Guarantee third-party access, in particular to Congo Telecom’s fiber optic backbone and submarine cable
access, at prices based on costs to ensure better market outcomes for consumers. Review regulation in the
telecom sector to deprive ARCPE of the competence to set minimum consumer tariffs.




                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   85
CHAPTER 3 Boosting Productivity through Competition




3.5.3 Strengthen the competition legislative and institutional
framework
Modernize competition regulation and establish an independent national competition authority.
Amendments to the Competition Law 6-94 to introduce provisions on merger control and abuse of dominance, as
well as fully-fledged competition advocacy powers, with full application at the national level, will help modernize
the legal framework. A national competition authority will help strengthen the institutional framework. The
government should consider expanding the capacity of DGCRFC 173 to a fully functioning national competition
authority to allow for adequate enforcement of the CEMAC competition law and any national competition
law to be enacted. Alternatively, it could set up an independent national competition authority with sufficient
resources—including qualified staff, and the power to enforce the competition law. The authority could also
have an advocacy role to promote competition by influencing government policy and building public awareness
on competition issues.




TABLE 2
Detailed Recommendations to Foster Competition

                                        POLICY OPTIONS                                                   RESPONSIBILITY                    PRIORITY


     Enhance private sector entry and ensure a level playing field for private and
     public operators

     •	 Introduce a principle of subsidiarity governing the creation and
        maintenance of SOEs in the market to limit direct State intervention
        in the market to the supply of essential goods and services that
        would not be provided by private agents and based on a clear                                          DGPP                      MEDIUM-TERM
        economic rationale. Consider charging the national competition
        authority—if such an authority is created—with the task of review of
        the creation of SOEs and of the scope of SOE economic activities.


     •	 Institute a systematic and transparent approval process, with
        clear criteria for state support measures (direct subsidies, loans
        at below market interest rates, and sovereign debt guarantees),
        that takes into consideration any market distortions likely to
                                                                                                              DGPP                      MEDIUM-TERM
        be caused by such measures. Consider charging the national
        competition authority—if such an authority is created—with the
        task of reviewing all significant grants of state aid. (See Annex 1 for
        the example of Moldova.)


     •	 Ensure that SOE audits are systematically carried out by reputable
        international auditing firms to ensure transparency of SOE
                                                                                                           DGPP, CNC                     SHORT-TERM
        operations and minimize risks of cross-subsidization and market
        distortions.


     •	 Implement competitive neutrality principles in Congo’s legislation.
        Key reforms would include:
         »	 introducing an accounting separation between SOEs’
            commercial and non-commercial activities;
         »	 adopting clear compensation mechanisms for public service
            obligations carried out by SOEs;
         »	 mandating that SOEs earn rates of return comparable to the                                     DGPP, CNC                    MEDIUM-TERM
            private sector under similar market conditions;
         »	 ensuring that SOEs do not receive preferential treatment in
            the application of regulation or the granting of procurement
            contracts and;
         »	 avoiding preferential treatment of SOEs through direct
            subsidies, preferential loans, forgiveness of debts that are not
            available to private sector.


173
    Stands for Directorate General for Competition and the Repression of Commercial Fraud (Direction Générale de la Concurrence et de la Répression des Fraudes
Commerciales, DGCRFC)




86      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                         CHAPTER 3 Boosting Productivity through Competition




                             POLICY OPTIONS                                            RESPONSIBILITY                 PRIORITY


Promote pro-competitive regulation in selected sectors: electricity and
telecommunication

•	 Institute a regular review of tariff rates for electricity to ensure
   market discipline, with a process that ensures tariffs are reflective
   of the costs of efficient firms, and thus ensure financial viability of
   participants in the sector. To the extent that increased consumer                Ministry of Energy,
                                                                                                                    SHORT-TERM
   tariff rates are contrary to social aims of the State, consider                        ARSEL
   instituting focused social tariffs allowing reduced rates for the
   poor and vulnerable rather than maintaining below-cost tariffs
   for the entire market.


•	 Ensure clarity and transparency of subsidies granted to electricity
   sector participants and the performance obligations required                          Ministry of
   of them with the view to attracting private-sector participation                   Energy (through              MEDIUM-TERM
   in the production sector and, possibly in the longer term, the                       legislation)
   distribution sector.



•	 Consider reducing the role of the state in the telecom sector
                                                                                        Ministry of
   (either temporarily through management arrangements or
                                                                                   Telecommunications
   permanently through divestment strategies) by ensuring that all                                                 MEDIUM-TERM
                                                                                   and Digital Economy,
   of Congo Telecom’s activities are based on a strong economic
                                                                                         ARPCE
   rationale and subject to market discipline.



•	 Ensure that third-party access, in particular to Congo Telecom’s
                                                                                        Ministry of
   fiber optic backbone and submarine cable access, is regulated
                                                                                   Telecommunications
   in a transparent manner with access prices being determined                                                     MEDIUM-TERM
                                                                                   and Digital Economy,
   based on costs in order to ensure better market outcomes for
                                                                                         ARCPE
   consumers.


•	 Review regulation in the telecom sector that provides ARCPE
   with the ability to set minimum prices on consumer tariffs. In the
                                                                                        Ministry of
   event that ARCPE retains the ability to set minimum prices on
                                                                                   Telecommunications               SHORT-TERM
   consumer tariffs, ensure that this ability is only used sparingly,
                                                                                   and Digital Economy
   only in instances where below-cost pricing threatens to drive
   competitors from the market.


Strengthen the competition legislative and institutional framework

•	 Amend the Competition Law 6-94 by including provisions on
   merger control and abuse of dominance as well as fully-fledged                    DGCRFC, Ministry
                                                                                                                    SHORT-TERM
   competition advocacy powers for any future national competition                    of Commerce
   authority, with full application at the national level.


•	 Expand capacity of DGCRFC to a fully functioning national
   competition authority to allow for adequate enforcement of
   the CEMAC competition law and any national competition law                        DGCRFC, Ministry
                                                                                                                    SHORT-TERM
   to be enacted. Alternatively, set up an independent national                       of Commerce
   competition authority with sufficient resources—including
   qualified staff.




                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   87
88   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
© Ericky Boniphace/Shutterstock.com




                                      CHAPTER 4

                                      Boosting
                                      Productivity
                                      through Digital
                                      Technology
                                      and Improved
                                      Access to
                                      Electricity




                                        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   89
CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




Higher productivity, the basis for sustained job creation and stronger and more equally distributed
economic growth, can derive partly from an accelerated digital transformation and improved access
to reliable electricity service. Congo’s digital infrastructure, especially broadband internet and policies
to accelerate the availability of affordable broadband access as well as the supply of digital skills, is key to
unleashing the full potential of the digital economy in Congo. A second crucial element is improving access to
electricity, addressing issues with connections, reliability, and the cost of self-generation, as well as prospects
for private participation, to bolster the productivity of Congo’s firms.




4.1 Accelerating productivity through
digital transformation

4.1.1 Digital technologies and why they matter for Congo’s
productivity and economic growth

Digital technologies, from computers to smartphones, continue to reshape economies, permeating
virtually every sector and aspect of daily life. ‘Digital technology’ is a broad term that refers to all digital
or computerized devices. Those devices have now changed the way people learn, work, trade, socialize,
produce goods, access public services and access information. As highlighted in the World Bank’s 2016 World
Development Report on Digital Dividends174 and underscored by the 2020 and 2021 volumes of the WBG
Africa Pulse reports, digital transformation is an important lever for successful economic transformation that
generates higher quality jobs as well as productivity and income gains.


Broadband technology and digitalization are contributors to productivity, economic growth and income
gains at several levels. There is common agreement that: (i) there is a “critical mass” effect which means that
broadband will make a higher contribution to economic growth in countries that are already adopting this
technology; (ii) adoption of digital technologies by enterprises can improve the efficiency of business processes
(e.g., marketing, inventory optimization, and streamlining of supply chains) and reduce various types of costs
(e.g., search, replication, transport and monitoring costs as well as networking and organization costs), leading
to higher productivity and higher sales;175 (iii) ICT services exhibit high productivity compared to other services
subsectors, with the highest levels in software programming and consulting as well as telecommunications.176
They accelerate productivity gains by introducing new consumer applications and services (e.g., new forms
of commerce and financial intermediation, utility and tax payments).177 Indeed, countries and regions with
vibrant innovation ecosystems tend to increase firms’ capacity to acquire, manage, and apply new knowledge
to change or introduce new products and processes, resulting in higher productivity rates.


The Government of Congo is committed to advancing digital transformation. Digital transformation is a
priority area of intervention for Congo, whose vision is described in a 5-year Digital Economy Strategy (“Vision
Congo Digital 2025”) that is embedded in the new National Development Plan (PND 2022-2026). The Ministry
of Posts, Telecommunication, and Digital Economy (Ministère des Postes, des Télécommunications et de
l’Economie Numérique, MPTEN) is leading the implementation of the national digital transformation agenda,
which revolves around three main pillars: (i) people-centric digital services (e-citizen), (ii) support to the private
sector (e-business), and (iii) acceleration of digital government service uptake.




174
    The World Bank’s “World Development Report 2016: The Digital Dividend” illustrates how the development of the Digital Economy is a powerful driver of global
growth while promoting social inclusion, better use of resources, and the development of innovation.
175
    Goldfarb, Avi, and Catherine Tucker. 2019. “Digital Economics.” Journal of Economic Literature, 57 (1): 3-43.
176
    Nayyar, Gaurav; Hallward-Driemeier, Mary; Davies, Elwyn. 2021. At Your Service? : The Promise of Services-Led Development . Washington, DC: World Bank.
©World Bank.
177
    Cirera, Xavier; Maloney, William F. 2017. The Innovation Paradox : Developing-Country Capabilities and the Unrealized Promise of Technological Catch-Up.
Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/28341 License: CC BY 3.0 IGO




90     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                      CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




Driven by the five-year Digital Economy Strategy “Vision Congo Digital 2025,” many reforms and programs
have been launched. These reforms aim to: (i) reinforce the digital infrastructure (including terrestrial fiber
links to connect to neighboring countries through the African Development Bank’s Central Africa Fiber-
Optic Backbone project, public data centers, the Google-Cloud project, and the 2Africa submarine cable);
(ii) strengthen the legal and regulatory environment to build trust and favor competition (e.g., concession
of the fiber optic network of the electricity company, new public-private partnership (PPP) law, adoption in
2019 of laws on personal data protection and electronic transactions and on cybersecurity in 2020); and (iii)
improve coverage (through the Electronic Communications Universal Access and Service Fund, Fonds pour
l’Accès et le Service Universels des Communications Électroniques, FASUCE) where no infrastructure exists)
and affordability (exemption from customs duties and taxes for a period of two years for cell phones, electronic
tablets, computers and electronic payment terminals).


As a result, the ICT sector is relatively well developed in Congo and already represents a significant part
of the economy, but it has not yet achieved its full potential (Box 8). According to the telecom regulatory
agency, ARPCE, the ICT sector (telecom, business management tech, logistics tech, e-commerce and FinTech)
contributed about three percent of Congo’s GDP in 2021.178 For instance, mobile operators generate a turnover of
US$337 million,179 and the sector represents at least six percent of private sector employees180 and a significant
number of indirect jobs in the informal sector (such as resellers of recharge cards, telephone booths, hardware
maintenance and repair staff, and electricians).




      BOX 8


       Impact on growth of increased mobile broadband
       penetration
       A recent study from the International Telecommunication Union (ITU) focused specifically on
       Sub-Saharan Africa and measured the impact of broadband, digital transformation, and policy
       and regulatory frameworks on growth in the continent. It analyzed the economic contribution
       of broadband and digitization between 2010 and 2017 for 34 countries in the Sub-Saharan Africa
       region, including Congo. This ITU study identified several levers that have direct or indirect impacts
       on growth in African countries:

       •	 Mobile broadband has a significant impact on GDP growth in Africa
          »	 An increase of ten percent in mobile broadband penetration yields a 2.5 percent increase in
             GDP per capita.

       •	 Affordability remains a key enabler for the adoption of the mobile broadband technology
          in Africa:
            »	 A ten percent drop in prices will boost adoption by more than 3.1 percent.
            »	 Increasing average disposable income (proxied by GDP per capita) by ten percent yields 2.1
               percent more fixed broadband adoption.


       When applied to Congo, increasing unique mobile broadband penetration by 20 points (from
       25 percent to 45 percent) is estimated to increase GDP per capita by five percent, which is
       equivalent to about US$509 million in additional GDP.

       Source: ITU (2019), Economic contribution of broadband, digitization and ICT regulation: Econometric modelling for Africa. http://handle.itu.
       int/11.1002/pub/8136517c-en




178
    Reported by ARPCE, 2021.
179
    GSMA, 2021.
180
    Digital Economy Development Strategy (Congo Vision Digital 2025, April 2019).




                                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification        91
CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




Congo is marked by recent significant progress in the deployment of broadband connectivity, but limited
policy actions have been taken so far to accelerate the adoption of digital technologies and digital
inclusion in the country. Since its inception, several reforms and government programs have been launched and
produced results, notably in terms of digital infrastructure deployment and internet broadband affordability as
well as reinforced and more complete legal and regulatory environment to build a digital economy and improve
trust. While ICT seems to emerge as the fastest growing sub-sector in Congo, adoption of digital tools and
services among micro, small and medium enterprises in Congo has largely been muted, and their participation
in the digital economy is hampered by structural endogenous and exogenous issues (see analysis in Section
4.1.4). The potential gains of digital transformation will depend on Congo’s success, inter alia, in: (i) making
the internet universally accessible and affordable (boosting connectivity), (ii) strengthening skills that allow
individuals, entrepreneurs, and public servants to seize opportunities in the digital world; (iii) making regulations
that create a vibrant business climate and let firms (including informal ones) leverage digital technologies
to compete and innovate. This framework for analysis is captured in Figure 33, simplifying the process of
digital transformation into the improvement of digital infrastructure, the strengthening of digital skills, and the
promotion of technology adoption by firms.



FIGURE 33
Digital transformation as a key driver for productivity, economic growth and job creation



                                Digital
                            Infrastructure



                                                                    Firm                                         Drive Productivity,
                            Digital Skills                       Technology                                     Economic Growth and
                                                                  Adoption                                      Job Creation in Congo


Source: World Bank staff.




4.1.2 Digital infrastructure in Congo
As in the rest of Africa, people in Congo access the internet mainly from their mobile phones. Mobile
coverage improved significantly in Congo over the past five years, placing Congo among the best countries in
the region. This has been made possible by its rapid urbanization, with 70 percent of the population living in
the urban areas of Brazzaville, Pointe-Noire and the small towns in between. 3G and 4G coverage reached 88
percent and 84 percent of the population respectively by January 2022.181


While the geographical reach of mobile broadband networks has significantly increased in recent years,
uptake of mobile high-speed internet services remains hampered by the level of prices. Even though mobile
broadband prices have significantly dropped over the past few years, mobile broadband remains expensive. In
2020, the average retail price of a 1GB data plan was 5.6 percent of the average monthly income of a Congolese,
far from the “1 for 2” measures for affordable internet (where the price of 1GB mobile data is at two percent
or less of average monthly income) and much more expensive than most of its peers (see Chapter 3, Figure
32). The Herfindahl-Hirschmann Index182 of the mobile market, which measures its competitiveness, scored at




181
    According to Telegeography, in January 2022, MTN covered 93 percent of the population in 2G, 87 percent in 3G and 70 percent in 4G while Airtel covered 90
percent in 2G, 88 percent in 3G and 83 percent in 4G.
182
    The Herfindahl-Hirschman Index (HHI) is used to determine market competitiveness. A market with an HHI of less than 1,500 is considered a competitive
marketplace, an HHI of 1,500 to 2,500 is moderately concentrated, and an HHI of 2,500 or greater is highly concentrated.




92     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                        CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




5,104 in 2021 with a negative trend over the past ten years (and 3,344 in 2012).183 This weak competition in the
mobile market (with only two main mobile network operators: Airtel and MTN) combined with Congo Telecom’s
dominant position on the national fiber backbone translates to below average mobile adoption and usage, with
unique mobile users equal to just 48 percent of the population and unique mobile internet users equal to just 25
percent (see Chapter 3, Figure 31-b).


Congo fares far less well on fixed broadband, with a very low penetration rate of households. With 28,900
fixed broadband internet subscribers (as of December 2021 according to Telegeography), representing a
penetration rate of 2.2 percent of households (compared to 8.9 percent average across Sub-Saharan Africa),
Congo has low usage rates. Dominated by the state-owned incumbent Congo Telecom, the fixed broadband
market has been hampered by poor availability, prohibitive costs, and slow installation of fixed line services.


The arrival of mobile money offers by mobile operators, with the support of the Government of Congo and
the Bank of Central African States (Banque des États de l’Afrique Centrale, BEAC), has revolutionized the
sector and greatly increased financial inclusion in Congo. The bank account penetration rate in Congo
remains low (with the extended bank account penetration rate including microfinance networks estimated
at 33 percent of the 15+ population in 2018). The COVID-19 pandemic exerted strong positive effects on the
development of Mobile Money in Congo: the number of active mobile money accounts has increased from
912,000 in December 2018 to 2.7 million as of August 2021, representing a penetration rate of 50.2 percent
of the population. Usage is relatively high as well, with an average of 21 transactions per user per month and
an average monthly revenue per user of CFAF 527 (equivalent to US$ 0.9), but the average transaction value
remains very low at CFAF 4,303 (the lowest of all CEMAC countries) (Table 3). The take-off of mobile money
in Congo is expected to have a positive impact on growth, by facilitating trade and improving access to credit.
Today, mobile money has a significant positive impact on jobs in Congo, with 41,000 active mobile money agents
registered as of August 2021. Public entities, despite having a very strong potential for encouraging electronic
transactions, have little presence to date in the mobile money ecosystem. Between July and December 2020,
just 1,325 electronic payments were made to pay electricity bills in Congo, while 286,000 customers used
mobile money to pay for their monthly subscription to the cable channels of the Canal+ package.184




TABLE 3
Distribution of electronic money transactions in CEMAC countries in 2020

                                                             Central
                                                                               Republic                            Equatorial
                                       Cameroon              African                                Gabon                                Chad
                                                                               of Congo                             Guinea
                                                            Republic


  Average transaction
                                          15,075             24,140              4,303               11,206          62,745             10,830
  value (CFAF)



  Number of active
                                       8,453,605             57,922            2,463,621           896,967            6,213             29,267
  accounts


  Number of active
  accounts as % of                        31.8%                1.2%              44.6%               40.3%            0.4%               0.2%
  total population


Source: BEAC (Bank of Central African States) - Electronic money payment services in CEMAC in 2020. June 2022.




183
      From GSMA.
184
      ARPCE, 2020, White Paper on Posts, Telecommunications and the Digital Economy.




                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   93
CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




4.1.3 Investing in people: foundational and digital skills
Congo faces persistent human development challenges with rising unemployment. With unemployment
rising to 22.8 percent185 and youth unemployment even higher (with 31.7 percent aged 10-24 years), digital skills
become even more important, with the potential for creating and filling productive and sustainable jobs. Despite
its achievements in education, the country faces challenges linked to the quality of learning and educational
attainment, contributing to a high unemployment rate amongst youth (Table 4). Combined with the learning
gap, this educational shortfall impedes the acquisition of digital skills essential for the labor market. Finally, lack
of digital skills is identified as the biggest barrier for consumers in Sub-Saharan Africa to the adoption of mobile
internet services before affordability.186



TABLE 4
Participation in education and employment

  Key human capital and employment indicators                                                                    Republic of Congo


  Literacy rate (% of people ages 15 and above)                                                                  80.3% (2018, UNESCO)


  Unemployment (% of total labor force)                                                                          22.8% (2020, ILO)

  Unemployment, youth total (% of total labor force ages 15-24)
                                                                                                                 42.6% (2020, ILO)
  (modeled ILO estimate)

Source: ILO, UNESCO, UNDP. June 2022.




Congo needs to boost the supply of digital skills at all levels (basic,
intermediate, advanced, and highly specialized) through formal education
and equip youth with employable in- demand skills (Figure 34 - a).
Consultations with various stakeholders (i.e., digital incubators, consulting firms,
and entrepreneurship associations) reveal a mismatch between the digital skills
acquired through formal education and those sought by employers and firms,                                                     Most primary
which often result in unemployment in the ICT sector. There are no foundational
                                                                                                                               and secondary
digital skills-related courses in the curriculums at primary and secondary
levels, where acquiring such skills at an early age would build the foundations                                                schools are
to develop more intermediate and advanced skills and later strengthen and                                                      constrained
specialize as a professional career. Accurate and timely data on existing digital
                                                                                                                               by the lack of
skills adoption amongst teachers and students, as well as in-demand skills by
industry is nonexistent. Such a data gap makes it difficult to ascertain the level,                                            ICT equipment,
quality, and availability of skills in the labor market and address rising youth                                               the high cost
unemployment, particularly in light of COVID-19 pushing many businesses to
                                                                                                                               of internet
go digital. Additionally, science, technology, engineering, and math (STEM)
education has a critical role to play in addressing unemployment amongst                                                       service, and
youth. In 2017, 15 percent of the total graduates in tertiary education were from                                              energy.
STEM fields, compared to Rwanda (12.9 percent in 2019), Kenya (16 percent in
2016), and Ghana (16.4 percent in 2019) among others (Figure 34-b). However,
progress toward gender diversity and inclusion is lagging, with only 20.8 percent
of students enrolled in STEM fields being female compared to 79.2 percent of
male students in 2017.187



185
    World Bank, 2020. World Bank Data: Unemployment, total (percent of total labor force) (modeled ILO estimate - Republic of Congo. https://data.worldbank.org/
indicator/SL.UEM.TOTL.ZS?locations=CG
186
    GSMA, 2016. Connected Society: Consumer Barriers to Mobile Internet Adoption in Africa. https://www.gsma.com/mobilefordevelopment/wp-content/
uploads/2016/07/Consumer-Barriers-to-mobile-internet-adoption-in-Africa.pdf
187
    UNDP, 2020. Human Development Reports. The Republic of Congo. https://hdr.undp.org/en/countries/profiles/COG




94     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                      CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




FIGURE 34
Insufficient supply of digital education and graduates with STEM background is a constraint
for digital skills development
a. Digital Skills Framework for general workforce and population − 7 competencies and 4 pro ciency levels

                                                                                                                                         Digital Skills
                                                         Digital Skills:                                                                 Pro ciency Level
  7 Domains                                              The ability to access, manage,
                                                         understand, integrate, communicate,                                                  Highly specialized
 1.    Devices and software operation
                                                         evaluate and create information
                                                         safely and appropriately.
 2.    Information and data literacy
                                                                                                                                              Advanced
 3.    Communication & collaboration

 4.    Digital content creation
                                                                                                                                              Intermediate
 5.    Safety

 6.    Problem solving
                                                                                                                                              Basic
 7.    Career related

                                                                                Percent of workforce
Source: Bashir, S. (2020).                             Based on European e-Competence Framework 3.0 (2014), http://www.ecompetences.eu




b. Percentage of graduates from STEM programs in tertiary education between 2010-2019*


  Malaysia

  Vietnam

Cameroon

 Indonesia

      Kenya

      Ghana

      Congo

   Rwanda

      Angola

                0                               10                                     20                                      30                            40

Source: Based on the UNESCO Institute of Statistics, 2019. Indicator: Percentage of graduates from tertiary education graduating from Science, Technology,
Engineering, and Mathematics programs in tertiary education, both sexes (percent). *2010-2019. Data refers to the most recent year available during the period
specified. June 2022.




A large basic digital literacy gap still prevents a sizable part of the population from adopting digital
technology. As of 2018, only 11.1 percent of the population of Congo reported using computers compared to
35.5 percent in Gabon (Figure 35).188 While the National Education Sector Strategy (2021-2030) acknowledges
the importance of utilizing ICT tools in learning, there is still no inclusion of digital skills courses in the formal
education system. Efforts to train trainers are fragmented and lack a structured nationwide initiative and
framework. Programs such as China Funds-in-Trust training 250 teachers in primary, secondary, and technical
and professional education with ICT and ICT for education189 would be a starting point for a nationwide
program, leveraging already an existing digital skills training framework (i.e., UNESCO’s commonly adopted
ICT Competency Framework as used in Nigeria190 and Tanzania191). Kenya provides a useful example of how to
promote digital literacy (Box 9).



188
    OECD, 2021 based on ITU World Telecommunication / ICT indicators Database. CUA/OCDE (2021), Africa’s Development Dynamics: Digital Transformation for
Quality Jobs, CUA, Addis Ababa/Éditions OCDE, Paris.
189
    UNESCO, 2017. UNESCO China Funds in Trust Project Phase II (2017-2018).
190
    UNESCO, 2021. Nigeria identifies priority areas for Open Education Resources.
191
    Ministry of Education and Vocational Training of Tanzania, 2015. ICT Competency Standards for Teachers in Tanzania.




                                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification               95
CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




FIGURE 35
Congo’s digital literacy gap is a barrier for digital adoption

Use of computer per 100 inhabitants (%), 2010-2018

40

35

30

25

20

15

10

  5

  0
                     Gabon                     Equatorial Guinea           Cameroon                      Congo   Burundi

                                                                        2010            2018

Source: OECD, 2021. Africa’s Development Dynamics: Digital Transformation for Quality Jobs. June 2022.




Availability of ICT infrastructure and equipment is a recurring problem in Congo. Most primary and secondary
schools are constrained by the lack of ICT equipment, the high cost of internet service, and energy. In 2018,
the proportion of primary and secondary schools with access to computers for pedagogical purposes was only
12.2 and 25.3 percent, respectively.192 The Government is preparing to launch a program, “cartable numérique ”,
which aims to provide connectivity and ICT tools to all schools, a nationwide digital platform, and a set of
interactive and open-source pedagogical content to promote the use of ICT tools digital skills. Additionally,
16 secondary schools and high schools have been connected through the universal service fund (FASUCE) to
the internet and received fully equipped multimedia rooms. Only a handful of multimedia rooms are available
at the University Marien Ngouabi and the University Denis Sassou Nguesso. Connecting universities to high-
speed broadband was attempted in 2017 under the African Development Bank’s Central Africa Fiber-Optic
Backbone project, where 11 faculties of the University Marien Ngouabi have been connected. However, due to a
lack of annual funding and the absence of affordable service rates agreed upon with the service providers, the
connection to the internet has not been sustained, leaving the faculties yet again unconnected. Finally, there is
no National Research and Education Network dedicated to fulfilling the connectivity, research and development
needs of higher education institutions.


The supply of advanced and specialized digital skills training is driven by the private sector, concentrated
in Brazzaville and Pointe-Noire. Private sector actors play a key role in filling the void left by the formal
education system. Many incubators and non-governmental organizations (i.e., Yékolab, Start Lab, Kosala, Club
Congo France Numérique, PRATIC, PUITS/Osiane, CNEUF, BantuHub), located in Brazzaville and Pointe-Noire,
partner with the Government to support digital skills development, but are often overwhelmed by the number of
applicants and have limited capacity to fill the nationwide digital skills gap. There are too few highly specialized
degree programs in technology/ICT available in the public higher education system, while private sector actors
fill the gap with short-term training, boot camps, and mentorship programs. The University Marien Ngouabi
stands as the country’s main higher education institution, followed by Denis Sassou Nguesso University. The
latter hosts the first Center for Research in Artificial Intelligence in Africa and enrolls students in a bachelor’s
in computer science program. However, the challenge of reaching the critical mass of talents with in-demand
digital skills would persist without a strong grasp of foundational and advanced skills (including literacy, digital
fluency, numeracy).



192
      UIS, 2022. UIS Statistics (unesco.org)




96        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                           CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




  BOX 9


     Spotlight on Kenya’s Digital Literacy Program




                                                                                                                                   © Montri Thipsorn/bigstockphoto.com
     Led by the Ministry of ICT, Innovation and Youth Affairs, the Digital Literacy Program (DLP) (also
     known as DigiSchool) is designed to introduce digital technologies to primary school children through
     training programs for teachers and trainers, provision of ICT tools and broadband connectivity,
     and digitized education content materials and curriculum. To date, the program has equipped over
     20,000 primary schools. The impact of the Program has already started showing positive results, with
     teachers reporting improvement in children’s engagement, reduced absenteeism, enhanced digital
     skills amongst teachers, and raised Kenya’s global profile as an ICT hub.

     The Presidential Digital Talent Program. The public and private partnership plays a key role in
     Kenya in building a critical mass of highly specialized talent pool. The Ministry of ICT, Innovation, and
     Youth Affairs launched a 12-month internship program with training, mentorship, and incubation for
     graduates from ICT and engineering fields. Over 1,200 graduates have been trained and 400 trainees
     have been selected contribute to the Digital Literacy Program to train 20,000 Kenyans in basic digital
     skills.

     Ajira. Launched by the Ministry of ICT, Innovation and Youth Affairs, the program offers basic training,
     mentorship, and advisory services. The project targets youth with little to no experience in online
     jobs and equips them with basic soft and digital skills across five implementation locations. Upon
     successfully completing the training, the participants would transition to a mentorship program to
     enhance their skills, exploring access to online jobs through its platform and resources.




4.1.4 Adoption of productivity technologies by Congo’s
firms
Most firms in Congo have adopted the key technologies (mobile phones, computers, smartphones, and
the internet), but small firms lag in adoption. Mobile phones, computers, and smartphones are widespread,
while access to the internet is somewhat more limited, because internet services costs are high in Congo,
reaching on average up to 20 percent of total expenses for the smallest firms (one to ten employees). According
to firms surveyed about their adoption of technology (Box 10), 18 percent of total revenues in 2021 (Figure 36-
b) were spent on investment in information and communication technologies (acquisition of ICT equipment,
software, and access to the Internet). 100 percent of the surveyed firms provide computers to at least half of
their employees, and 80 percent provided smartphones or tablets. The main connection type for the surveyed
firms is DSL (digital subscriber line) or fiber for 70 percent of them, and the rest use mobile internet or dial-up
internet connectivity. However, the quality of service provided by telecommunication operators is considered
unsatisfactory by firms. In particular, the poor quality of network deployment and operation, frequent outages,
and slow connections are to blame. The use of websites is, however, still limited, with only 50 percent of the
surveyed firms making use of them, while 80 percent of surveyed firms use social media (WhatsApp being the
most used, and then Facebook, Twitter, Instagram, and LinkedIn).




                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                                         97
CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




     BOX 10



      Firm Adoption of Technology (FAT) survey in Congo
      A simplified FAT survey was conducted in Congo during March-April 2022 by the World Bank in
      collaboration with the Ministry of Digital Economy, INS-Congo, the Ministry of Finance, Chambre
      de Commerce Pointe-Noire (CCIAM-PNR), UniCongo (Union Patronale et Interprofessionnelle du
      Congo), UNOC, Kosala and DSI-Club Congo. This survey on technology adoption by firms collected
      quantitative and qualitative data on a sample of just over 40 firms (across Brazzaville, Pointe-Noire,
      Sangha, Lékoumou and Bouenza), to better understand the major constraints to technology adoption
      and their current use of technologies. Only formal firms and those connected with internet were able
      to respond to the survey.

      The FAT survey (43 questions) was developed because despite widespread discussion about digital
      and complementary technologies, information on the actual technologies used by firms is surprisingly
      scarce, particularly for developing countries. The data for Congo aims to shed new light on where
      Congolese firms lie on the technology adoption spectrum, the variation across firms, and the major
      constraints to technology adoption.

      The surveyed firms were: (i) 15 percent from the agriculture sector, 15 percent from the manufacturing
      sector, and 70 percent from the services sector; (ii) two-fifths very small firms (1 to 10 employees),
      one-fifth small firms (10 to 20 employees), one-fifth are medium size firms (21 to 99 employees), and
      one-fifth large firms (over 100 employees).




For general business functions common to all types of firms, adoption of emerging technologies is still low,
except for standard software for back-office tasks. Except for a small share of firms, Congolese enterprises
still mostly use manual procedures and pre-digital technologies to perform general or sector-specific business
functions. Even though some firms are adopting more sophisticated technologies in a given business function
(e.g., digital payment methods, enterprise resource planning systems), these are not the most used technologies
by the firm or by its customers. Only about one-third of surveyed firms use specialized management software
tools such as inventory/point-of-sale software and advanced management tools such as enterprise resource
planning software systems). For most micro, small, and medium enterprises, methods for production planning
functions are by hand, and only a small share of them use standard computer software. The most common
method of payment is still cash or check, although 25 percent of surveyed firms report using online platforms
for sales and payments (e.g., online banking, mobile wallet, PayPal, or similar App-based payment service). Only
a few firms appear to be diversifying their payment methods using multiple sources, but a very low share of
transactions occur through these methods. Only a few Congolese firms have a digital transformation strategy
to drive a higher level of productivity and invest in more autonomous technologies (such as cloud computing,
robots, 3D-printers, artificial intelligence, or big data analytics), or customer relationship management tools.
Solutions related to cloud computing, mobility and enterprise social networks are still often marginal outside
the technology, media, and telecom sectors. During the COVID-19 pandemic, large firms report having invested
in new digital solutions (e.g., cloud services, video-conference systems, and various collaborative online tools)
in the initial months of the crisis while small firms did not do so.


Marketing is still conducted primarily face-to-face, while sales are predominantly conducted at the
establishment’s premises or by phone. Around 75 percent of surveyed firms report using the internet (e.g.,
Facebook, WhatsApp, or other social media) from time to time to better understand their customers for
marketing purposes and one-third of them to diversify their sales opportunities by reaching new markets. The
main methods for marketing reported remain face-to-face or by phone. Only 50 percent of the firms think that
a digital online presence makes them more competitive. Yet digital-oriented merchants have been far more
resilient in the COVID-19 pandemic, compared with firms that operate mainly offline businesses. Notably, the




98    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                          CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




high cost of digital-related sales services and numerous digital security incidents prevent small entrepreneurs
from considering online platforms as an important sales channel. Whether small or large, very few companies
today receive orders placed online (via social networks, company websites, e-commerce platforms, mobile
applications, and other means). As a matter of fact, e-commerce has not taken off in Congo due to many
structural reasons (e.g., cost and reliability of logistics and customs services, the absence of a postal addressing
system, a deep-rooted culture of face-to-face interaction, low trust in electronic transactions, and the limited
number of internet exchange points between different access providers).


Most surveyed firms have a workforce with the necessary technological and technical skills to harness the
potential of digitalization for their productivity and growth. Half of the surveyed firms responded that the
use of the internet has enabled them to upgrade the skills of their employees. Surveyed firms (totaling about
4,500 permanent employees) reported that on average 50 percent of all employees (of whom 30 percent
are women) have basic digital skills. Yet nearly 60 percent of surveyed firms report that they have in-house
expertise (not necessarily certified) to develop, customize or significantly modify any computer hardware
or software. According to the data collected, firms report that 30 percent of their workers (only 20 percent
of whom are women) have advanced or specialized digital skills (most of them were trained overseas), but
their competencies are not fully utilized. The digital skills most in demand by surveyed firms improved basic
digital literacy (use of digitally controlled devices, use of the internet, communication through ICT, or use of
Microsoft Office software), as well as digital marketing, social network development, and content management.
Next in line are skills for technical information technology (IT) support and data storage techniques as well
as cybersecurity (management, organization and risk management, data protection). To some extent, skills in
data analysis, Big Data, artificial intelligence (Machine Learning), web and/or mobile application development
and design, or information systems development, ERP, are also desired, but are not the most in-demand by the
firms surveyed, except for firms specializing in ICT or in extractive activities (especially for the use of disruptive
technologies).

Firms report that difficulty in obtaining financing is the main obstacle to adopting and using new digital
technologies. The next greatest barriers (Figure 36-a) reported are equally distributed as follows: cost of
electricity and/or internet connection and lack of information about what technologies to adopt. Indeed, the
greatest barrier faced by firms of all size groups is financial, with around 70 percent of surveyed firms reporting
that this is a top obstacle, especially in times of crisis (such as the COVID-19 pandemic). The lack of equity,
capital, cash flow, or budget for investments is a real brake on firms and startups planning to invest in digital
technologies or take advantage of technology services.



FIGURE 36
Firms’ financing constraints are the main barrier to digital adoption
a. Perceived top barriers to adoption and usage of digital                       b. Percentage of revenue spent on ICT investments in 2021
technologies by rms
                                                                                 30
            Financial constraints

                                                                                 25
    Expensive energy or internet


Lack of information & knowledge                                                  20

    Cost or no economic bene t
                                                                                 15

        Government regulations
                                                                                 10
          Lack of technical skills

                                                                                   5
         Uncertainty of demand


       No consumer preference                                                      0
                                                                                          Very small         Small           Medium        Large
                                     0%     20%    40%     60%       80%                     (<9)          (10 to 20)       (21 to 99)    (>100)

Source: World Bank, findings from rapid Firm Adoption of Technology (FAT) survey among 44 firms in Congo, April 2022. June 2022.




                                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification    99
CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




Like the wider private sector, Congo’s digital entrepreneurship ecosystem remains nascent, and while
investment in tech-based startups is on the rise, there is limited support for these firms beyond an incubation
stage. A limited number of tech startups have been pushing the envelope on innovation and generating
excitement around the sector. COVID-19 has increased the value of FinTech, e-logistics, e-commerce, and
e-health. Recent efforts by the government through a small and medium enterprise (SME) guarantee fund,
the Guarantee and Support Fund (Fonds d’impulsion de garantie et d’accompagnement), or local incubators
through participatory financing mechanisms to partially bridge the financing gap are positive trends, but there
remains a need to secure long-term business investors for important seed and follow-on fundings. Congolese
startups raised US$1 million in 2021 from investment funds and other venture capital firms, as opposed to
Senegalese startups, who reached US$353 million in 2021 (a large boom since their startup act adoption in
2019).193 Today, local incubators are concentrated in Brazzaville and do not have a sustainable strategy for
graduating enterprises from incubation and acceleration programs. Bottlenecks in the business enabling
environment and gaps in enabling inputs, such as the inaccessibility of appropriate growth-oriented financing
or the limited supply and pipeline of digitally skilled talent, present further hurdles to the expansion of digital
entrepreneurship. More specific to Congo, local digital businesses could explore developing software and other
technologies for the mining, agricultural, and tourism sectors (see Box 11 for examples in peer countries).



       BOX 11


          Development of digitalized productive value chain –
          spotlight on Botswana




                                                                                                                                                © THEGIFT777/iStockphoto.com




          Digitalization can address the structural challenges of a country like Congo, particularly in the
          productive sectors of mining, timber and cash crops (sugar cane, palm oil, coffee and cocoa,
          rubber, among others). Mines are increasingly using advanced software and digital solutions, including
          drones, to locate diamonds and optimize mining processes as well as grade diamonds. For instance,
          Debswana Diamond Mining Company, the joint venture between the Government of Botswana and
          De Beers, is an advanced IT user with 4IR integrated across its operations and supply chain to include
          extensive digitalization of operations, where the use of advanced technology has made it possible
          to operate a “no touch” mine, eliminating the need for any manual handling in the processing of the
          diamonds. This involves the use of big data, real-time data capture, sensors, IoT, wearable devices for
          maintenance and operator safety, integrated remote operating centers, blockchain technology, etc.
          Debswana is already using e-commerce platforms to do business, including SAP, Ariba, and eTravel
          and has significant experience and expertise in information security management. These advanced
          technologies are behind what has made Botswana’s diamond mining industry a powerhouse in global
          rough diamond production and Botswana’s largest foreign income earner with a relatively small
          number of staff and safe working conditions.

          Sources: United Nations Conference on Trade and Development (UNCTAD) (2021)




193
      Partech (2021), 2021 Africa Tech Venture Capital Report. https://partechpartners.com/2021-africa-tech-venture-capital-report/#section1.




100       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                            CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




4.1.5 Policy options: how Congo can drive technological
transformation for better productivity?
The following policy priorities would activate the levers identified above, thus removing constraints on
the development of the digital transformation in Congo and enabling the expected dividends of digital
technology to be realized. Detailed policy recommendations are provided in Table 5.

Multiple actions will help enhance the availability of affordable broadband access for firms. The government
should favor infrastructure sharing to lower costs of deployment and foster competition. Players with dominant
market position should be identified, and access to their key infrastructures should be regulated. Strengthening
competition in the digital sector, especially fiber optic wholesale market and the international submarine cable
will improve affordability of digital services (see Chapter 3). It is also essential to better regulate PPPs to benefit
from better cooperation between the public and private sectors. The recent creation of a Ministry and the
new law dedicated to PPPs are clearly significant progress, but it is essential to quickly prepare implementing
decrees to the new PPP law. Adequate legislation would not only allow for the identification of successful
projects, but also for the effective and transparent management of these projects, while ensuring that the
development objectives are met and that investors are satisfied. Finally, reviewing the fiscal and parafiscal
policy of the digital sector will help reconcile the revival of the sector (and its socio-economic impacts in terms
of socio-economic inclusion) with the constraints imposed by the balance of public finances.


Trust in digital payments and digitalization of public services are essential to increase usage of digital
financial services, which, in turn, can improve firms’ productivity. Digital payments help reduce operating
costs and time. It is therefore essential to strengthen trust and confidence in digital payments and financial
services by developing new regulations for better payment infrastructure development and user protection to
digital payment methods (aligned with CEMAC regulation). Specific actions include standardizing complaint
and dispute resolution procedures; and adopting mechanisms such as escrow accounts and trusted third party
labels. Digitalization of public services is another factor that reduce costs, time, and improve productivity of both
private and public sectors. Digitalization of G2P (Government-to-People), G2G (Government-to-Government)
and P2G (Person-to-Government) payments (e.g., public utility payments, tax payments, social transfers,
government wages) will accelerate productivity, financial inclusion, women’s economic empowerment, and
government fiscal savings.


A multi stakeholders’ approach will be necessary to improve the supply of digital skills to close the digital
skills supply-demand gap. The broader government objective should be to adopt and implement an education
sector ICT policy and framework following the internationally recognized global frameworks for digital skill
development (from basic to advanced). In this regard, integrating digital skills courses as cross-cutting subjects
in the formal education system would be instrumental in developing such skills from an early age, as well
as leveraging private sector involvement in technical and vocational education and training) and in tertiary
education. Fostering collaboration between research institutes, universities, and the private sector actors
through research and development centers focusing on digital solutions (particularly in data management,
user experience design, cloud computing, and emerging technologies) is equally important. Addressing the
existing skills supply and demand gap in the labor market would require a robust skills gap analysis, followed by
digital skills training programs with certifications, and digital platforms to boost employment (e.g., job matching
platforms, talent management boards, skills orientation services). Finally, it is essential to ensuring sustainable
financing for digital skills development training models (digital academies, bootcamps, digital labs, etc.) and
digital connectivity within training facilities and universities, in partnership with public institutions, the private
sector, and non-government actors.


A multi-level approach to policy is essential to improve the enabling environment for digital technology
adoption and for high growth technology-enabled businesses. The government needs to design and
enforce key policies and regulation for business climate improvement overall, for better access to finance and
public procurement for SMEs, and for start-up innovation. New policies include business-enabling regulation,
application of the startup act and anti-corruption framework, possible tax relief policies for ICT and for research




                                        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   101
CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




and development, government-backed partial credit guarantees, crowdfunding platforms, and regional
harmonization to African Continental Free Trade Area (AfCFTA) and CEMAC regulations. Modernization of key
public services such as the postal sector, trade and customs, and business registration can improve the uptake of
digitalization initiatives, accelerate e-commerce development, and spur technology-enabled business creation.
Support for customized firms/worker training programs can improve adoption and use of digital technologies
(including collaborative digital platforms for local ecosystems, operational research and data analytics, digital
business and entrepreneurship support, reskilling and skills development programs, innovation contests, and
grants funding schemes) especially if targeted to smaller firms and productive sectors such as manufacturing
and agribusiness as well as technology-intensive sectors.




TABLE 5
Detailed Recommendations to Accelerate Digital Transformation

                           POLICY OPTIONS                                              RESPONSIBILITY              PRIORITY


  Enhance the availability of affordable broadband access

  •	 Strengthen competition in the fiber optic wholesale                           ARPCE (Telecoms
     market and the international submarine cable market                      Regulator), Ministry of Posts,      SHORT TO
     (see Chapter 3) to improve affordability of digital                     Telecommunications and Digital      MEDIUM-TERM
     services.                                                                     Economy (MPTEN)




  •	 Favor infrastructure sharing to lower costs of
     deployment. Players with dominant market position                         ARPCE, MPTEN, Ministry of
                                                                                                                 SHORT-TERM
     should be identified, and access to their key                            Equipment and Public Works
     infrastructures regulated.




  •	 Prepare implementing decrees to the new PPP law
                                                                                                                  SHORT TO
     to ensure its implementation and benefit from better                        Ministry of PPPs, MPTEN         MEDIUM-TERM
     cooperation between the public and private sectors.




  •	 Review the fiscal and parafiscal policy of the digital
     sector to reconcile the revival of the sector with                       MPTEN, Ministry of Finance,         SHORT TO
     the constraints imposed by the balance of public                         Ministry of Plan and Economy       MEDIUM-TERM
     finances.


  Increase use of digital financial services


  •	 Strengthen trust and confidence in digital payments                       BEAC, Ministry of Finance,
                                                                               MPTEN, Commercial Banks,
     and financial services by developing new regulations
                                                                                Direction Générale de la          SHORT TO
     for better payment infrastructure development and                                                           MEDIUM-TERM
                                                                             Concurrence et de la Répression
     user protection to digital payment methods (aligned                       des Fraudes Commerciales
     with CEMAC regulation).                                                            (DGCRF)




                                                                            DGDEN, MPTEN, ARPCE, Ministry
  •	 Digitalize G2P, G2G, and P2G payments (e.g., public
                                                                             of Finance, Public Utilities SOEs
     utility payments, tax payments, social transfers,
                                                                              (E2C, SOPECO, SNDE, Congo          MEDIUM-TERM
     government wages and other expenses) to reduce                           Telecom, and others), mobile
     costs and improve productivity.                                                money operators




102   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                     CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




                              POLICY OPTIONS                                                  RESPONSIBILITY                             PRIORITY


  Improve digital skills supply through a multi stakeholders’ collaboration

  •	 Implement an education sector ICT policy and
     framework following the internationally recognized
     global frameworks for digital skill development (from
     basic to advanced) by:                                                       DGDEN, Ministry of Primary and
                                                                                  Secondary Education, Ministry of                    SHORT TO
       »	 integrating digital skills courses as cross-cutting                                                                        MEDIUM-TERM
                                                                                  TVET, Public and Private Training
          subjects in the formal education system.                                           Institutes
       »	 leveraging private sector involvement in
          technical and vocational education and training
          and tertiary education.


                                                                                      DGDEN, Ministry of Higher
  •	 Foster collaboration between research institutes,
                                                                                    Education, public universities,
     universities, and the private sector actors through
                                                                                   private training providers, major                 MEDIUM-TERM
     research and development centers focusing on                                  industries, incubators, high tech
     digital solutions.                                                                          centers


                                                                                     MPTEN/DGDEN, Ministry of
  •	 Conduct a robust skills gap analysis, followed by                            Higher Education, Congo Agency
                                                                                                                                      SHORT TO
     digital skills training programs with certifications,                        for Employment (ACPE), Ministry                    MEDIUM-TERM
     and digital platforms to boost employment.                                       of Industry, private sector
                                                                                             associations


  •	 Ensure sustainable financing for digital skills                                 MPTEN, DGDEN, Ministry of
     d eve l o p m e n t t r a i n i n g m o d e l s a n d d i g i t a l            Higher Education, Universities,
     connectivity within training facilities and universities,                      Training Institutes, broadband                   MEDIUM-TERM
     in partnership with public institutions, the private                           providers/ISPs, local telecoms
     sector, and non-government actors.                                                    providers, ARPCE


  Improve the enabling environment for digital technology and for high growth
  technology-enabled businesses

  •	 Design and enforce key policies and regulation for
     business climate improvement, better access to
     finance and public procurement for SMEs and for
     start-up innovation. Key polices include for instance:
       »	 application of the startup act and anti-corruption
          framework;                                                                MPTEN, DGDEN, Ministry of
                                                                                                                                     MEDIUM-TERM
       »	 possible tax relief policies for ICT and for research                   Finance, Ministry of Plan, ARPCE
          and development;
       »	 government-backed partial credit guarantees,
          crowdfunding platforms;
       »	 regional harmonization to the AfCFTA and
          CEMAC regulations.


                                                                                  MPTEN, DGDEN, Ministry of Civil
  •	 Modernize and re-adapt key public services and                                 Service, SOPECO, Ministry of
     administration (e.g., cross-border trade and customs                         Finance, ACSI, BEAC, Ministry of
     facilitation to accelerate e-commerce development,                          Plan, Ministry of Special Economic
                                                                                                                                      SHORT-TERM
     re-adaptation and digitization of key Government-                             Zones, Private Sector, Ministry
     to-Business (G2B) administrative procedures for                              of Transport, Ministry of Justice,
     business registration).                                                     Ministry of Commerce, Ministry of
                                                                                               MSMEs


  •	 Institutionalize technology upgrading plans and
                                                                                     MPTEN, DGDEN, Ministry
     customized firms/worker capabilit y suppor t
                                                                                      of MSMEs, private sector
     programs for better adoption and use of digital                                                                                  SHORT TO
                                                                                    associations, local industry,                    MEDIUM-TERM
     technologies, targeting smaller firms and productive                         multinationals, Ministry of Higher
     sectors such as manufacturing and agribusiness as                             Education, training institutes
     well as technology-intensive sectors.


Note: Ministry of TVET is Ministry of Technical and Vocational Education and Training. Ministry of MSMEs is Ministre des Petites et Moyennes Entreprises, de
l’Artisanat et du Secteur Informel (Ministry of Small and Medium Enterprises, Handicrafts and the Informal Sector).




                                                     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification          103
CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




4.2 Accelerating productivity through
improved access to electricity
4.2.1 How much access to electricity do Congolese firms
have?
As in the rest of Africa, firms in Congo face challenges related to electricity, the most notable being the
time and cost to get connected to the grid. Congolese firms must contend with difficulty in securing access
to the grid outside of the main cities of Brazzaville and Pointe-Noire. Both the time and the cost of a new
connection are prohibitive, suggesting that it could be an important barrier for most smaller firms. The quality
of service is also unreliable, and, as a result, firms outside the main cities will (like many other firms across Sub-
Saharan Africa) resort to costly self-generation.


Firms outside urban areas struggle to get an electricity connection, and even urban firms face uncertain
access. According to the World Bank World Development Indicators, in 2020 only 49.5 percent of the Congolese
population had access to electricity. In urban areas where 64 percent of the Congolese live, mainly in Brazzaville
and Pointe-Noire, the electrification rate is 66 percent, while only 14.8 percent of the rural population has access
to electricity. Despite significant domestic energy resources, access to electricity in Congo is lower than three
of its four regional peers, having only a marginally better access rate than Angola at 46.8 percent (Figure 37).



FIGURE 37
Access to electricity is relatively low in Congo
Access to electricity (% of population)

                    Angola

      Sub-Saharan Africa

                    Congo

                   Nigeria

                Cameroon

                    Ghana

Lower middle income

Upper middle income

                             0                          25                           50               75          100

                                                                    2005         2020
Source: WDI 2020. June 2022.




Firms located outside of urban areas face great difficulties in getting an electricity connection. Because of
the country’s low population density, any extension of the grid is complicated and costly. Amongst its regional
peers, Congo has the lowest population density with only 16 people per square kilometer. It is, in part, because
of this that much of the population outside of the major urban centers in the Brazzaville – Pointe-Noire axis
lacks access to electricity. Only six of the 4,382 localities without access to electricity have a population of more
than 5,000 inhabitants.194 This means that firms in non-urban environments, often engaged in agribusiness
such as rice de-husking, face even more difficulty in getting access to electricity without resorting to costly-self
generation than in Congo’s urban areas.



194
      World Bank staff analysis.




104       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                       CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




                                                                                                                                                               © Erwan Morand/World Bank
To get a new electricity connection, firms must face a long wait and significant costs. Amongst its peers and
despite a similar number of procedures, it takes longer and is costlier to benefit from an electricity connection in
Congo. Recent surveys indicate that Congo has a less efficient connection process than the Sub-Saharan African
average (Table 6). The cause for a longer time and higher cost of connection in Congo, according to the 2020
World Bank survey, was the need for the firm to hire a licensed electrical contractor, who purchases the material
and conducts the external connection work. This procedure requires 120 days, accounting for approximately 89
percent of the total time to obtain a connection, and costs CFAF 58 million (or US$95,000).195 By comparison,
in Cameroon, the highest cost in the process consists of hiring an authorized supervision agency (only when the
surface of the business exceeds 400 m2) and costs CFAF 3 million (or US$5,000). Although the survey number
for Congo may somewhat exaggerated, nevertheless, this data suggests the cost of connecting could well be
prohibitive for many smaller firms in Congo.


TABLE 6
Getting a new electricity connection takes more time and costs more than in peer countries

 Country                  Peer                    Time (days)           Procedures (number)                 Cost as % of income per capita

 Congo                    -                             134                            6                                     5,569.3
 Nigeria                  Regional                      110                            7                                       296.4
 SSA Average              -                           109.6                           5.2                                     3,178.5
 Angola                   Regional                       97                            7                                       623.3
 Timor-Leste              Structural                    93                             3                                      1,255.7
 Botswana                 Aspirational                   77                            5                                       251.5
 Mauritania               Structural                    67                             5                                     3,929.3
 Cameroon                 Regional                      64                             4                                      1,470.7
 Ghana                    Regional                      55                             4                                       632.0
 Azerbaijan               Structural                     41                            7                                       125.7
 Indonesia                Aspirational                   32                            4                                       233.8
 Vietnam                  Aspirational                   31                            4                                       994.2
 Malaysia                 Aspirational                  24                             3                                        25.6

Source: World Bank, 2020. June 2022.



195
    It was noted by the World Bank report for Congo that such a high cost of connection in the region were because often the customer had to pay to import a
transformer and other materials (for the type of capacity analyzed in the report, of 140 kVA). The exact cause for such a high cost must be studied further.




                                                     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification          105
CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




Firms suffer from unreliable electricity service. As a result of limited and uncoordinated investment into its
infrastructure, the country has the least reliable electric supply system among peer countries, which in turn
negatively affects the private sector (Table 7). In 2021, there were 54 blackouts across Brazzaville and Pointe-
Noire.196 For firms, power outages are a common occurrence. A recent survey of 44 firms in Congo indicated
that power outages were a daily occurrence for many respondents, with generally one to three outages per day
lasting from a few minutes to one-to-three hours.197



TABLE 7
Congo has the least reliable supply and least transparent tariff among peers

  Country                        Peer                                Reliability of supply and transparency of tariff index (0-8)

  Malaysia                       Aspirational                                                                    8

  Azerbaijan                     Structural                                                                      7

  Vietnam                        Aspirational                                                                    7

  Indonesia                      Aspirational                                                                    6

  Ghana                          Regional                                                                        4

  Angola                         Regional                                                                        2

  SSA Average                    -                                                                              1.6

  Botswana                       Aspirational                                                                    0

  Cameroon                       Regional                                                                        0

  Congo                          -                                                                               0

  Mauritania                     Structural                                                                      0

  Nigeria                        Regional                                                                        0

  Timor-Leste                    Structural                                                                      0

Source: World Bank, 2020. June 2022.




Many firms still rely on costly self-generation. Given the unreliable supply of electricity, many firms need to
supplement their connection to the electricity grid with self-generation. Of firms recently surveyed, the large
majority responded that they used the electricity grid for their primary energy supply, but an equally large
number responded that they used a diesel generator as a secondary source. Furthermore, these surveyed
firms indicated that the cost of electricity represented some ten to 20 percent of their operating costs.198 This
high cost is not surprising given that the cost of self-generation is estimated to be almost three times more
than current tariff rates. It can be estimated that firms in Congo pay approximately US$ 0.27/kWh when using
generators.199 This is almost three times more than the current tariff charged by E 2C and slightly less than twice
the cost of the estimated cost-recovery tariff. However, a more rigorous study is needed to obtain more precise
data on the consumption of diesel needed to power Congolese generators as well as the cost of diesel fuel in
different localities.




196
    E2C, 2021.
197
    World Bank, 2022b. This is a generalization of the statements made by those surveyed but, given the qualitative nature of the response and limited sample size,
it is not a statistically representative finding.
198
    World Bank, 2022b.
199
    Calculated using the approximation that one liter of diesel generates 3.3kWh of energy (Sustainability Exchange, 2022), and 1 liter of diesel costs 90 cents (WDI,
2022). Therefore, 90 cents divided by 3.3kWh = US$ 0.272 per kWh.




106    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                       CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




4.2.2 The current context of the electricity sector explains
the difficulties faced by firms
Congo has been facing substantial and growing electricity shortages, but the country is endowed with
significant untapped hydropower resources. Of Congo’s installed electricity generation capacity of 756 MW
(of which 231 MW from hydro, 484 MW from gas, and 41 MW from oil), only 553 MW is available due to lack
of investment and poor maintenance (160 MW hydro, 378 MW gas and 15 MW oil) while peak demand was
estimated at 600 MW in 2020. This demand is expected to continue to grow rapidly and steadily, estimated by
ten to 20 percent per year. Against this rising demand, Congo’s hydroelectric potential is estimated at 14,000
MW of which only 1.5 percent has been exploited to date. The Government of Congo is considering upgrading
capacity to meet this growing demand, including the Sounda hydroelectric project (600 MW), Chollet hydro
(300-600 MW), Mourala hydro (100 MW), and the rehabilitation of existing hydroelectric plants as well as a
new gas-fired power plant. 200 These are still at the early stages of planning, with financing yet to be recruited.


Despite past attempts at reform, the sector remains constrained by limited coordination and oversight,
discouraging private investment. Planning capacity within the sector has been uncoordinated, and investments
across the sector have not resulted in any tangible improvement in the level of service in recent years. A
Generation and Transmission Master Plan was prepared in 2016 but never fully implemented. In addition, over
US$2 billion has been invested over the past decade by government and private enterprise in generation assets
and the transmission and distribution network without any tangible improvement in quality of service. 201

The country has recently set out its ambitions to reform the sector, placing an emphasis on the unbundling
of the sector and the participation of the private sector to improve performance. The sector is governed by
the 2003 law on electricity which decreed the liberalization of the electricity sector, the creation of new agencies
(regulator, rural electrification agency) and allowed for private sector participation. However, it was only in 2017
that several decrees were approved to operationalize this law. In 2018, at the initiative of the Government, the
then national electricity company, Société Nationale d’Electricité, (responsible for the generation, transmission
and distribution of electricity) was dissolved, and a state-owned asset company, Energie Electrique du Congo
(E 2C), was created in its stead. E 2C is a public limited company under OHADA law and operates the service on a
transitional basis, pending eventual participation by the private sector as part of an unbundling of the sector. 202


These reforms included the creation of a regulator to support entrance by the private sector to improve the
quality of service. This ambition to open the sector up to competition led to the establishment of a regulator,
the Agence de Regulation du Secteur de l’Electricité (ARSEL). As the regulator, ARSEL’s main mission is to
regulate, control and monitor the activities of operators in the sector and to arbitrate disputes between them.
However, crucially, it is still subordinated to the Ministry of Energy (Ministère de l’énergie et de l’hydraulique),
arguably impacting its ability to regulate the sector in an impartial and objective manner. 203 Most notably, it has
not yet acted in the other area of importance for a regulator—that of tariff setting, which is critical in promoting
the financial viability of any electricity sector which in turn may attract private investment.


The Government intends to encourage private sector participation, in particular in distribution and
generation, so that competition can improve performance. Until recently there was no dedicated PPP legal
framework or unit, which could be a cause for uncertainty for investors. 204 This might explain the difficulty the
country has had in concluding concession agreements for generation projects in the recent past. 205 The new PPP
law could facilitate such agreements. It is therefore essential for the government to prepare its implementing
decrees.




200
    World Bank staff analysis.
201
    World Bank staff analysis.
202
    Unbundling is the creation of different companies across the energy sector value chain from an existing monopoly with the aim of improving electricity service
and reduce costs through improved management and competition, sometimes–as is the ambition of Congo–through private sector participation.
203
    World Bank staff analysis.
204
    PPP Knowledge Lab - https://pppknowledgelab.org/countries/congo-republic
205
    World Bank staff analysis.




                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification              107
CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




The sector is financially unviable, preventing re-investment that could improve the quality of service
for firms. The poor quality of electricity supply stems in large part from the financial distress in which the
sector finds itself. As a result of the limited financial flows within the sector, there is little re-investment into its
infrastructure to increase the number of connections or towards operations and maintenance, which in turn
results in a poor quality of service. 206


E2C is heavily indebted with debt of approximately US$111 million in 2021, only slightly less than its turnover
of US$121 million.207 In 2016, E 2C inherited the US$421 million obligations of its precursor, Société Nationale
d’Electricité. This included nearly US$210 million of arrears to the Centrale Electrique du Congo (CEC), an
independent power producer (IPP), representing 70 percent of national electricity production. E²C and its
predecessor relied heavily on government subsidies through direct budget support or other arrangements,
including the securitization of payment for energy purchases from CEC. This was allegedly undertaken through
an agreement between the government and ENI (the Italian oil company that is a private shareholder of the CEC
along with the Government ) to reduce levies on its Congolese oil production. 208


Power is sold at a loss to customers as the tariff does not reflect the real cost of electricity. The current tariff
as April 2022 is CFAF 51/kWh (US$0.091 /kWh) and has not changed since 1994. 209 By contrast, the cost of
electricity was estimated in a 2015 study210 at around CFAF 92/kWh (US$0.16/kWh). Further compounding this
shortfall, technical losses in 2016 were estimated at around 52 percent (the average acceptable loss level across
Sub-Saharan Africa is about 20 percent), and only 73 percent of bills were recouped. In addition, contrary to
standard practices, the tariff for Medium Voltage clients (such as larger industrials) is lower than Low Voltage
customers (households and smaller businesses). As these Medium Voltage customers are often larger firms,
they are most likely to be able to pay for the real cost of power. 211


In addition to the low tariffs, cost recovery is eroded by the fact that many customers, including firms,
are not charged according to their consumption. While E 2C launched a campaign to supply their customers
with meters, this has had limited results. According to documentation on inventorying losses and installing
meters, around half of the customers are not metered and therefore are charged flat rates regardless of their
energy consumption. 212 It should be noted that of 41 recently surveyed firms, 26 responded that their electricity
consumption was metered, and ten that they were billed on a flat rate. 213 This finding, while not statistically
representative, provides anecdotal support for the importance of E 2C to increase the metering of its customers
to accurately recoup a larger share of its costs.


Furthermore, the national utility has a disproportionately large salary cost relative to its assets under
management. Salaries represented 27 percent of the company’s operating costs in 2016 (compared to around
ten to 20 percent in countries such as Senegal, Mali, Côte d’Ivoire and Burkina Faso) with a ratio of 117 customers
per employee (compared to 490 in Senegal). 214 Compounding this, the 340 workers hired by E²C in 2021 for
the inventory of subscribers and the installation of meters were hired permanently, increasing the proportion
of salary costs within the total operational expenditures of the company. 215 According to a 2016 assessment
of financial viability of African utilities, these staff costs were the third highest of the 36 surveyed countries in
Africa after The Gambia and the Central African Republic (31 percent and 36 percent of operational expenditures
respectively) (Figure 38). 216




206
    World Bank staff analysis.
207
    https://www.finances.gouv.cg/sites/default/files/documents/CCA%20Rapport%20v2.4.pdf.pp40
208
    World Bank staff analysis.
209
    World Bank staff analysis.
210
    Artelia, 2015.
211
    World Bank staff analysis.
212
    E2C, 2021.
213
    World Bank, 2022b.
214
    Trimble et al., 2016.
215
    World Bank staff analysis.
216
    Trimble et al, 2016.




108   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                        CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




FIGURE 38
Congo had one of the highest staff costs as a percentage of operational expenditures
Staff costs across African utilities

               70                                                                                                                                                                       40

               60                                                                                                                                                                       35

                                                                                                                                                                                        30
               50
US$ thousand




                                                                                                                                                                                             % of opex
                                                                                                                                                                                        25
               40
                                                                                                                                                                                        20
               30
                                                                                                                                                                                        15
               20
                                                                                                                                                                                        10
               10                                                                                                                                                                       5

                0                                                                                                                                                                       0
                      South Africa


                                     Gabon


                                             Cameroon


                                                            Botswana


                                                                       Senegal


                                                                                 Cote d’lvoire


                                                                                                 Burkina Faso


                                                                                                                Mauritania


                                                                                                                             Mali


                                                                                                                                        Congo


                                                                                                                                                 Ghana


                                                                                                                                                          The Gambia


                                                                                                                                                                       CAR


                                                                                                                                                                             Ethiopia
                                                          Annual cost per staff (constant 2014 US$)                                 Staff costs as % of opex

Source: Adapted from Trimble et al, 2016. June 2022.




4.2.3 Potential avenues of reform in the electricity sector to
improve firm-level productivity
International experience suggests that a long-term approach is required to achieve a reliable power
supply through considerable capital investments in the power system as well as institutional and
governance reforms in the sector. The following policy options can improve quality of service for firms and
reduce barriers to benefits from electricity access, thereby improving firm-level productivity (see Table 8 for
detailed recommendations).


To improve the financial viability of the sector, which would support re-investment to improve the quality
of service for firms, the current tariff regime in the Congo needs to be reviewed. This tariff has not been
revised since 1994 and does not reflect the true cost of electricity today, therefore penalizing E²C as well as
other actors upstream in the sector. Some preliminary work has already been undertaken which could inform
the Government as to how a financial equilibrium could be achieved, 217 but an updated and thorough review of
the cost of power across the value chain needs to be undertaken. The Government has already indicated that it
is open to clarifying revenue requirements for sector actors. 218 Any adjustment of tariffs is, of course, a sensitive
matter, but one that should at least be studied. Ultimately the decision on how much to charge customers
remains a political and sovereign decision of Congo, but at the very least, a review of the tariff regime should
clearly identify the true cost of power across the sector and therefore clearly identify how much any subsidy
should amount to. This would leave no doubt as to what is owed to whom and help promote financial viability
for the sector. The caveat, however, is that it is essential—in the interest of supporting the most vulnerable
population—that any change in the tariff regime does its utmost to avoid increasing the burden on the poorest
clients.




217
          Artelia, 2015.
218
          Ministère de l’énergie et de l’hydraulique, 2021.




                                                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                           109
CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




The operational and financial situation of E2C is in urgent need of redress to enable it to deliver a more
reliable service to its customers—including firms. Improved financial viability is key to attracting the private
sector participation that the government hopes will improve the sector. Financial viability for E 2C could be
achieved by: i) increasing the proportion of metered customers vs. those paying a flat rate; ii) conducting an
operational review to identify options for reducing overstaffing; iii) introducing digital tools such as Enterprise
Resource Management software, SCADA (supervisory control and data acquisition) systems, and other
measures that could improve the operational effectiveness of the utility; iv) reinforcing staff in areas such as
maintenance, studies, planning or the execution of projects; and v) extending the distribution network and last-
mile connections to increase the number of customers (and therefore the revenue base).


Strengthen the legal and regulatory framework to support the sector and encourage investment. Reinforce
the capability of ARSEL to regulate the sector, allowing it to set tariffs and regulate the market objectively
and independently as well as to enforce performance standards to the benefit of customers, including firms.
Given the need to review the tariff regime and introduce transparency in the tariff-setting process, ARSEL
requires capacity, for example through knowledge exchange with other regulators. Furthermore, international
experience shows that an independent energy regulator is essential for governments to promote an efficient
and reliable energy sector. 219 of the Government could explore the option of revising the legal status of ARSEL
as an agency independent of government intervention. Ultimately, a better-regulated sector will work in the
interest of firms connected to the grid by ensuring their electricity service meets a minimum level of reliability
and that tariffs are fixed in a fair and transparent manner.


Support institutional reforms that could attract private investment, to promote competition, improve
performance and meet growing demand, therefore improving the quality of service for firms. In line with
the Government’s ambitions of bringing in private sector participation, 220 the power sector requires further
reform efforts to create a legal and institutional environment conducive to private sector participation. This
would provide a clear framework for independent generation through IPPs as well as for non-grid connected
infrastructures like mini-grids. IPPs would help meet the growing demand for electricity, and the entry of private
sector participation elsewhere (if managed correctly) could also help improve performance standards.


Invest in infrastructure and activities to increase the number of firms that could benefit from access to
a reliable and affordable source of electricity. Reducing the cost and time of a new connection would
increase firms’ competitiveness. Given the indication in the World Bank’s assessment of 2020, that the cost of a
connection would be prohibitive for many businesses, measures should be taken to assess the options available
to reduce the cost and streamline the process. For example, it is not clear if the prohibitive cost and time for the
licensed electrical contractor (Step 3 of the connection procedure) is the result of a lack of qualified technicians,
the elevated cost of materials and services to install the connection, or because of a state of low-equilibrium
market dynamics. A study of the current process and comparison to other peer countries could help identify the
drivers of the high cost and inform options for making electricity connections more affordable.


Improve the reliability of the network and, therefore, the reliability of the electricity service to firms by
investing in new or rehabilitated transmission and distribution infrastructure. Given the lack of investment in
the transmission and distribution network, one avenue could be mobilizing financing from development finance
institutions (including the World Bank) and the private sector, specifically towards rehabilitation or upgrades.
This would help improve the quality of service, increase the number of connections, and reduce technical losses.
In 2018, activities in grid rehabilitation, the installation of meters, and new connections, as well as US$10 million
were cancelled under the last electricity project of the World Bank (PEEDU) (P106975) to rehabilitate the
electricity infrastructure in Brazzaville and Pointe-Noire due to the unavailability of Government counterpart
funding. 221 These activities could resume within a framework of another World Bank operation.


Support access to electricity initiatives to enable firms outside of urban environments to be able to electrify
their activities without having to resort to costly self-generation. Given the low electricity access rates in rural
areas, firms are constrained to urban areas if they want to electrify their activities without resorting to self-


219
    Cubbin and Stern, 2006.
220
    World Bank staff analysis.
221
    World Bank. 2022. PEEDU (P106975) Implementation Completion Report.




110   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                             CHAPTER 4 Boosting Productivity through Digital Technology and Improved Access to Electricity




generation. Mini-grids present a viable solution for some of the larger agglomerations of populations such as
the larger townships that are yet to be electrified, and project structuring and auctions could be undertaken (on
the back of the legal and regulatory reforms previously discussed), similarly to the African Development Bank’s
Green Mini-Grids program in the Democratic Republic of Congo or the IFC’s Scaling Solar program in Zambia
or Ethiopia. For firms in even smaller population centers, solar home systems could be distributed (through
grants or subsidies) to households (including those out of which firms are run) as has been done in Bangladesh
or through the Regional Off-Grid Electricity Access Project in the Sahel region of Africa.




TABLE 8
Detailed Policy Avenues to improve Access to a Reliable Electricity Service

                              POLICY OPTIONS                                           RESPONSIBILITY                 PRIORITY


  Improve the financial viability of the sector to allow for reinvestment and
  improved quality of service


  •	 Review the current tariff regime (see chapter 3).                                     ARSEL                    SHORT-TERM




  •	 Ensure that any adjustment (if any) in the tariff regime protects the          Ministry of Energy,
                                                                                                                   MEDIUM-TERM
     most vulnerable clients.                                                             ARSEL


  •	 Redress the operational and financial situation of E2C by:
     »	 increasing the proportion of metered customers;
     »	 introducing digital tools such as SCADA systems;                                                            SHORT TO
                                                                                             E 2C                  MEDIUM-TERM
     »	 reinforcing staffing in areas such as maintenance, studies,
        planning or the execution of projects; and
     »	 extending the distribution network and last-mile connections.


  Strengthen the legal and regulatory framework to support the sector and
  encourage investment

  •	 Reinforce the capability (through capacity-building and South-
                                                                                    Ministry of Energy,
     South knowledge exchange with other regulators, for instance)                                                  SHORT-TERM
                                                                                          ARSEL
     and independence of ARSEL to effectively regulate the sector.


  •	 Provide a clear framework for independent generation through                   Ministry of Energy,             SHORT TO
     IPPs and for non-grid connected infrastructures like mini grids.                     ARSEL                    MEDIUM-TERM




  Invest in infrastructure and activities to increase the number of firms that could
  benefit from access to a reliable and affordable source of electricity

  •	 Undertake a study of the current process to get a new connection
                                                                                    Ministry of Energy,
     to assess options available to either reduce the cost or streamline                                            SHORT-TERM
                                                                                          ARSEL
     the process.


  •	 Mobilize financing for investment in new or rehabilitated
                                                                                     Ministry of Energy            MEDIUM-TERM
     transmission and distribution infrastructure.


  •	 Support access to electricity initiatives (mini-grid, solar home
                                                                                                                    SHORT TO
     system) to enable firms outside of urban environments to electrify              Ministry of Energy            MEDIUM-TERM
     their activities without resorting to costly self-generation.




                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   111
112   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
© Alexandra Tyukavina/Shutterstock.com




                                         CHAPTER 5

                                         Trade
                                         Competitiveness
                                         and
                                         Diversification




                                              Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   113
CHAPTER 5 Trade Competitiveness and Diversification




5.1 Why greater trade integration matters
Empirical evidence shows that no country has achieved sustained growth and significant poverty
reduction without greater integration into the global economy (World Bank 2020). For instance,
integration into the global economy lies behind the successful diversification of countries in East Asia into
manufacturing, which in turn has led to unprecedented poverty reduction. A less diversified output and export
structure increases the volatility of fiscal revenues and export receipts, which has substantial implications for
growth. Export diversification can support growth and drive structural transformation, an effect that is stronger
in low-income countries and diminishes as the level of income rises (IMF 2017 and Box 12). Commodity exporters
like Congo, with concentrated export baskets that are highly susceptible to international price fluctuations, have
the most to gain from diversification.


International trade can help accelerate growth and
improve living standards. Greater trade integration can
boost productivity by shifting production toward sectors                                                  Greater trade integration
and firms with greater comparative advantages and higher
                                                                                                          can boost productivity
efficiency, expanding their access to markets and creating
opportunities for overall growth in output and employment.                                                by shifting production
Trade liberalization and lower trade costs offer a wider range of                                         toward sectors and firms
intermediate inputs. They help reduce input costs; increase firm
                                                                                                          with greater comparative
competitiveness; and enhance national and foreign investment,
technological spillovers, innovation, and other dynamic effects                                           advantages and higher
that can cumulate over time. Greater trade integration can also                                           efficiency, expanding their
lead to lower consumer prices and a wider variety of goods and
                                                                                                          access to markets and
services, benefiting consumers through higher real incomes
and a greater choice of consumption goods and services. On                                                creating opportunities for
the other hand, greater integration with global markets can also                                          overall growth.
imply adjustment and transition costs, some of which may need
to be mitigated to ensure inclusive growth.

This chapter explores the opportunities for Congo to diversify its exports as a driver for structural
transformation. The chapter examines the country’s main trade patterns, then discusses trade policy areas
which Congo could consider to promoting export competitiveness and diversification, such as tariffs, trade
agreements, and non-tariff measures. It concludes with policy options to support export diversification.




5.2 Congo’s trade dynamics: a tale of a
commodity exporter
Congo’s trade openness is high for its per capita income, but it has been declining. Trade openness, as
measured by the ratio of total trade (i.e., exports plus imports) over GDP, declined from about 134 percent on
average between 2005-2007 to 120 percent on average between 2017-2019 (Figure 39), especially openness for
merchandise trade (Figure A1 in the Annex). 222 Since merchandise trade is larger than trade of services (Figure
40), the former has driven the reduction of Congo’s overall trade openness.




222
      Congo’s trade openness both for merchandise and services is however higher than expected for its income per capita level.




114       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                                CHAPTER 5 Trade Competitiveness and Diversification




FIGURE 39                                                                                                                   FIGURE 40
Congo’s trade openness is high for its per                                                                                  Trade in goods is bigger than trade in
capita income, but it has been declining                                                                                    services
Trade openness in goods and services: 2005-2007 and 2017-2019                                                               Trade dynamics in goods and services in Congo, 2005-2020

                               Average 2005-2007                                 Average 2017-2019                                        16                                                                                                                     10

                                                                                                                                          12                                                                                                                     8
                   500




                                                                     500
                                                                                                                                           8                                                                                                                     6




                                                                                                                           Billions US$




                                                                                                                                                                                                                                                                      Billions US$
                                                                                                                                           4                                                                                                                     4
                   400




                                                                     400
Trade of GDP (%)




                                                                                                                                           0                                                                                                                     2
                   300




                                                                     300

                                                                                                                                           -4                                                                                                                    0

                                                                                                                                           -8                                                                                                                    -2
                   200




                                                                     200




                                                                                                VNM
                                                   MYS
                                                                                                                                          -12                                                                                                                    -4
                                       VNM




                                                                                                                                                 2005
                                                                                                                                                        2006
                                                                                                                                                               2007
                                                                                                                                                                      2008
                                                                                                                                                                             2009
                                                                                                                                                                                    2010
                                                                                                                                                                                           2011
                                                                                                                                                                                                  2012
                                                                                                                                                                                                         2013
                                                                                                                                                                                                                2014
                                                                                                                                                                                                                       2015
                                                                                                                                                                                                                              2016
                                                                                                                                                                                                                                     2017
                                                                                                                                                                                                                                            2018
                                                                                                                                                                                                                                                   2019
                                                                                                                                                                                                                                                          2020
                                             MDA
                                          COG                                                              MYS
                                                                                            COG
                   100




                                                                     100




                                    TLS     IRQ                                                    MDA
                                                BWA                                          MRT
                                 GHA      MRT                                         TLS             BWA
                                                                                             GHA
                                            IDN                                                    IRQ
                                        CMR
                                         NGA
                                                                                            CMR
                                                                                              NGA
                                                                                                  IDN                                                   Goods exports                                    Trade Balance
                                                                                                                                                        Goods imports                                    Trade Balance for Goods
                   0




                                                                     0




                         6          8              10           12         6          8               10           12                                   Service Exports                                  Trade Balance for Services
                             Log GDP per Capita (PPP)                          Log GDP per Capita (PPP)                                                 Service Imports


Source: WB staff calculations using data from WDI. June 2022.
Note: Each dot represents a country. The curve shows the average of trade openness for a given per capita income. The grey band represents the 95 percent
confidence interval. COG indicates the data for Congo.




5.2.1 Congo’s export basket remains highly concentrated
Congo’s exports are highly concentrated on minerals. Hydrocarbons (mostly crude oil) account for the
bulk of Congo merchandise exports (Figure 41), followed by copper and other minerals. Overall, hydrocarbons,
copper, and other minerals accounted for more than 90 percent of Congo’s total merchandise exports in the
last 20 years.


FIGURE 41
Congo’s exports are highly concentrated on oil and minerals
Congo’s merchandise exports (Billion US$), 2002-2020

16

14

12

10

        8

        6

        4

        2

        0
                   2002         2003      2004          2005    2006           2007   2008         2009          2010   2011              2012          2013           2014           2015           2016              2017          2018           2019         2020


                                                        Cocoa              Copper            Hydrocarbon                Other Minerals                            Other agriculture                              Others


Source: WB staff calculations using data from BACI (CEPII). June 2022.




                                                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                                                                                      115
CHAPTER 5 Trade Competitiveness and Diversification




Congo has a revealed comparative advantage (RCA) in minerals, wood, and metals, reflecting a high
concentration of exports on commodities. The RCA index is the ratio of a country’s export share of a specific
sector to the world’s export share of that sector in total exports. A country is deemed to have an RCA in a sector
if its share of exports in that sector exceeds the global export share of the same sector, and thus the RCA index
is bigger higher than one. During the three periods considered (Table A1 in the Annex), the minerals (which
includes oil) and wood sectors had an RCA, whereas metals—mostly composed by copper product exports—
only gained RCA status in 2018-2020.


The real exchange rate does not seem to have played a significant role in the limited diversification of
exports. In the last 15 years, the real effective exchange rate (REER) for Congo has occasionally deviated from
its medium-term fundamentals, combining periods of overvaluation with periods of undervaluation, although
these estimations of under/overvaluation are highly sensitive to underlying assumptions and methodology.
Since 2005, the REER remained relatively flat compared to other non-CEMAC oil-exporting peers, such as
Angola, Ghana, and Nigeria (Figure 42), mainly due to the peg with the Euro. Besides, the literature finds that
exchange rate misalignment (either over- or under-valuation) does not seem to have an impact on export
diversification (Sekkat, 2016; Tran, 2017).




FIGURE 42
Congo’s REER has remained broadly unchanged
Monthly REER, 2005-2021

200
180
160
140
120
100
 80
 60
 40
 20
  0
      2005/01
                2005/06
                          2005/11
                                    2006/04
                                              2006/09
                                                        2007/02
                                                                  2007/07
                                                                            2007/12
                                                                                      2008/05
                                                                                                2008/10
                                                                                                          2009/03
                                                                                                                    2009/08
                                                                                                                              2010/01
                                                                                                                                        2010/06
                                                                                                                                                  2010/11
                                                                                                                                                            2011/04
                                                                                                                                                                      2011/09
                                                                                                                                                                                2012/02
                                                                                                                                                                                          2012/07
                                                                                                                                                                                                    2012/12
                                                                                                                                                                                                              2013/05
                                                                                                                                                                                                                        2013/10
                                                                                                                                                                                                                                  2014/03
                                                                                                                                                                                                                                            2014/08
                                                                                                                                                                                                                                                      2015/01
                                                                                                                                                                                                                                                                2015/06
                                                                                                                                                                                                                                                                          2015/11
                                                                                                                                                                                                                                                                                    2016/04
                                                                                                                                                                                                                                                                                              2016/09
                                                                                                                                                                                                                                                                                                        2017/02
                                                                                                                                                                                                                                                                                                                  2017/07
                                                                                                                                                                                                                                                                                                                            2017/12
                                                                                                                                                                                                                                                                                                                                      2018/05
                                                                                                                                                                                                                                                                                                                                                2018/10
                                                                                                                                                                                                                                                                                                                                                          2019/03
                                                                                                                                                                                                                                                                                                                                                                    2019/08
                                                                                                                                                                                                                                                                                                                                                                              2020/01
                                                                                                                                                                                                                                                                                                                                                                                        2020/06
                                                                                                                                                                                                                                                                                                                                                                                                  2020/11
                                                                                                                                                                                                                                                                                                                                                                                                            2021/04
                                                                                                                                                                                                                                                                                                                                                                                                                      2021/09




                                                                                           Congo                                              Angola                                                Ghana                                              Nigeria                                              Cameroon


Source. Darvas (2021). June 2022.




Not only is Congo’s export basket highly concentrated, but also the number of products it exports is
lower than in most comparators. The number of Harmonized System 6-digit (henceforth referred as HS-6)
exports by Congo went up from 1,321 in 2007 to 1,559 in 2019. Yet, in both years, the total number of products
Congo exported was lower than that of comparator countries, except for Mauritania (Figure 43). Concentration
of the export basket as measured by the Herfindahl index 223 shows that Congo went from having the third most
concentrated basked after Nigeria and Botswana in 2007 to the second one after Nigeria in 2019. When measuring
export concentration with the share of the top 3 HS-6 exports, Congo has the second most concentrated export
basket after Botswana. Thus, identifying and addressing the barriers to export diversification is crucial for
Congo’s efforts to diversify its exports and economy (Box 12 discusses the relationship between per-capita
income and export diversification found across countries).



223
    The Hirschman-Herfindahl Index (HHI) is the sum of the squared export shares by product. Thus: 0<HHI<1. The higher the index the more concentrated are
exports.




116     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                                            CHAPTER 5 Trade Competitiveness and Diversification




FIGURE 43
Congo’s export basket is highly concentrated
a. Congo export diversi cation for HS6 exported products, 2007                                                                                     b. Congo export diversi cation for HS6 exported products, 2019

       1.0                                                                                                   5,000                                        1.0                                                                                                 5,000




                                                                                                                     Number of exported products




                                                                                                                                                                                                                                                                                                Number of exported products
       0.8                                                                                                   4,000                                        0.8                                                                                                 4,000

       0.6                                                                                                   3,000                                        0.6                                                                                                 3,000
In %




                                                                                                                                                   In %
       0.4                                                                                                   2,000                                        0.4                                                                                                 2,000

       0.2                                                                                                   1,000                                        0.2                                                                                                 1,000

       0.0                                                                                                   0                                            0.0                                                                                                 0
             Congo

                     Cameroon

                                Nigeria

                                            Ghana

                                                    Mauritania

                                                                 Botswana

                                                                            Indonesia

                                                                                        Malaysia

                                                                                                   Vietnam




                                                                                                                                                                Congo

                                                                                                                                                                        Cameroon

                                                                                                                                                                                   Nigeria

                                                                                                                                                                                             Ghana

                                                                                                                                                                                                     Mauritania

                                                                                                                                                                                                                  Botswana

                                                                                                                                                                                                                             Indonesia

                                                                                                                                                                                                                                         Malaysia

                                                                                                                                                                                                                                                    Vietnam
                                          Norm. Her ndhal (export)                                                                                                                       Norm. Her ndhal (export)
                                          Share of top 3 products                                                                                                                        Share of top 3 products
                                          Number of exported products                                                                                                                    Number of exported products

Source: Authors’ calculations using data from WITS and BACI (CEPII). June 2022.




       BOX 12



         Export diversification and income
         Export diversification and rising per capita income go hand in hand until per capita income
         reaches $25,000, constant 2005 purchasing power parity, according to Cadot et al., 2011.
         Then, income growth appears to drive more concentrated exports and vice-versa. In this regard, a
         country such as Congo with a per capita income of less than $25,000 should have higher growth
         as diversification increases. Yet, the diversification challenge is greater for low-income countries
         and for countries whose economies are dominated by minerals or other commodities. Economic
         diversification is linked to the structural transformation of their economies and the achievement of
         higher levels of productivity engendered through the movement of economic resources both within
         and between economic sectors. Thus, for Congo to diversify its exports and/or economy, structural
         reforms and trade policy reforms will be needed.
                                                                                                                                                                                                                                                                  © John Simmons/unsplash.com




                                                                                               Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                                                                                                        117
CHAPTER 5 Trade Competitiveness and Diversification




Congo’s export destinations are also highly concentrated, towards Asia. In 2020, Asia accounted for
more than 70 percent of Congo’s export receipts, with China (39.7 percent) and the Unite Arab Emirate (19.7
percent) being the predominant markets. 224 The European Union accounted for about 16 percent with Spain
(7.3 percent) and Italy (3.4 percent) the key markets. African countries represented only about 7 percent of
total exports where Gabon (2.9 percent) and Togo (1.2 percent) represented the main markets. Other CEMAC
countries accounted for only about 3.4 percent of exports. However, exports to African countries (CEMAC and
the Democratic Republic of Congo for instance) are undervalued due to informal trade across borders that goes
unaccounted in trade statistics.


Congo’s imports are less concentrated than exports and are mainly composed by food and beverages,
industrial, capital and consumer goods. In 2020, food and beverages accounted for 26 percent of all imports
while industrial and capital goods represented 24 and 20 percent respectively (Figure 44). Yet, some import
products like food products could be produced locally and even exported, if the business environment was
more favorable.


Gas and agriculture sectors provide immediate opportunities for Congo to diversify its export basket
in the near future. As discussed in Chapter 1 (see section 1.2), Congo has the fifth largest proven natural gas
reserves in SSA with 284 billion cu. m., which remains largely unexploited. Europe current efforts to diversify its
sources of gas imports is a huge opportunity for Congo. Also, the arable land for agriculture in Congo remains
untapped. As a result, Congo is a net importer of food products (Figure A4 in the Annex provides a landscape
of Congo’s food imports), which represent close to 70 percent of Congo’s food consumption and more than a
quarter of Congo’s imports bill. The current global food crisis is a waking up call for Congo to modernize and
invest in agribusiness (in line with one of the 2022-26 PND’s pillar) and increase its agricultural production that
will help reduce food imports bill, ensure its food security but also enable exports of food products to other
African countries that are net importers of food products, especially the neighboring large potential market, the
Democratic Republic of Congo (see section 5.3). Currently, the potential for more sophisticated export products
is limited given the Country’s comparative advantages (see the discussion below on Global Value Chain (GVC)).




FIGURE 44
Congo’s imports are less concentrated than exports
Congo import products (Billion US$), 2002-2020

12


10


 8


 6


 4


 2


 0
      2002     2003    2004     2005    2006    2007     2008    2009     2010    2011     2012    2013     2014    2015     2016      2017   2018   2019   2020

                Food and beverages                 Industrial supplies not elsewhere speci ed              Capital goods (except transport equipment)
                Transport equipment                Other goods


Source: WB staff calculations using BACI, CEPII. June 2022.




224
      In 2019, the two countries accounted for 66 percent of Congo’s total export receipts with China accounting for more than half.




118       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                              CHAPTER 5 Trade Competitiveness and Diversification




 5.2.2 Low export survival rates limit export growth and
 diversification
 For countries to achieve faster export growth and diversification, they need firms to both successfully
 enter new export markets and to continue exporting to them. Export diversification can be driven by the
 entry of new firms into exporting or by existing exporters entering new markets. Often the export survival of
 these firms is the main challenge. Exporters from developing countries tend to form less long-lasting trade
 relationships than exporters from advanced economies. From a policy perspective, understanding the main
 challenges to export survival is key to promoting competitiveness and diversification.


 Congo’s export survival rate is below those of most of its peers.  The probability of export relationships
 surviving the first year is 28 percent for Congo, a much lower figure than the survival rates of its peers, which
 range from 30 to 38 percent (Figure 45-a). Also, the probability of Congo being able to maintain an export
 relationship for more than four years is less than 10 percent, lower than the survival rates of its peers, which
 range between 11 and 25 percent.  As expected, medium and larger exporters in Congo have higher survival
 rates than small and micro exporters (Figure 45-b). 225 Export survival is a key determinant for export growth
 and diversification (Brenton et al., 2010). Understanding the challenges and structure of firms’ export survival
 may inform policies intended to facilitate export diversification.




 FIGURE 45
 Congo export survival relationships lags peers and do not last long

 a. Congo export survival compared, 2012-2020                                                      b. Congo export survival by rm size, 2016-2020

                                         Kaplan-Meier survival estimates                                                                Kaplan-Meier survival estimates
                          1.0                                                                                               1.0


                          0.8
Probability of survival




                                                                                                  Probability of survival




                                                                                                                            0.8


                          0.6                                                                                               0.6


                          0.4                                                                                               0.4


                          0.2                                                                                               0.2


                          0.0                                                                                               0.0

                                0    1      2     3     4     5     6       7      8     9                                        0      1            2           3        4    5
                                                         Years                                                                                            Years


                                    Botswana           Cameroon             Congo                                                             Large               Medium
                                    Ghana              Indonesia            Malaysia                                                          Micro               Small
                                    Mauritania         Nigeria              Vietnam


 Source: WB staff calculations using customs firm-level transaction data. June 2022.
 Note: Firms size by annual export value in US$, Micro <100,000; 100,000<=small<1 million; 1 million <=medium < US$10 million; large > US$10 million. Hydrocarbon
 products are excluded from the data.




 225
     The likelihood of a large exporter’s trading relationship surviving one year is a bit lower than for a medium exporter, but higher for than small and micro
 exporters. Survival rates for all Congolese companies fall more than half in the second year and start to converge.




                                                                        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification              119
CHAPTER 5 Trade Competitiveness and Diversification




5.2.3 Services exports, especially tourism, have untapped
potential for growth and diversification

Services matter for export growth and diversification. Services provide opportunities for a wider range
of exports and a broader base of domestic activities. Many developing countries have diversified into exports
of tourism and are also moving into exports of professional services such as health and education. But
services are also critically important as inputs into other sectors. The quality and availability of health and
education services are key in determining the productivity and capacities of workers for new tasks. Access
to efficient energy, transportation ICT, and financial services can be important for export diversification.
Another key transformation in the global economy is the increasing “servicification” of manufacturing, whereby
manufacturing firms increasingly buy, produce, sell, and export services. These increasing complementarities
between trade in services and goods entail that trade policies for goods and services should be designed in a
coordinated manner.


Congo’s services exports have been volatile and dominated by commercial and business
services. Exports of services have increased over time by category between 2005 and 2017 (Figure 46). Yet,
there has been a lot of variation in exports of services. Commercial, business, and other services exports were
the top three service export categories in 2017 and accounted for more than US$500 million each. In the same
vein, service imports are dominated by commercial, business, other services, and transportation, as well as
other services (Figure A2 in the Annex). Note that the balance of trade in services has been in deficit throughout
the observed period (Figure 40).


FIGURE 46
Congo’s services exports have been volatile and dominated by commercial and business
services
Congo’s services exports (Billion US$), 2005-2017

2.5


2.0


1.5


1.0


0.5


  0
      2005                   2007                     2009                     2011                    2013                     2015                      2017

             Travel    Transport       Insurance and pension          Other services        Other business        Commercial         Cultural       ICT


Source: WB staff using data from UNCTAD. June 2022.




There is untapped potential for growth of services exports, especially in tourism. Thanks to Congo’s
vast biodiversity, tourism has enormous potential to help diversify the economy away from oil and other
extractive industries. When responsibly planned and managed, tourism has demonstrated its capacity to create
jobs, promote shared prosperity, protect natural and cultural heritage, conserve biodiversity, and generate
sustainable livelihoods. Chapter 6 provides a case diagnostic of ecotourism226 in Congo and provides policy
options.



226
    Ecotourism is defined as “a sustainable, non-invasive form of nature-based tourism that focuses primarily on learning about nature first-hand, and which is
ethically managed to be low impact, non-depletive, and locally oriented”.




120    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                             CHAPTER 5 Trade Competitiveness and Diversification




5.2.4 Congo participates in Global Value Chains (GVCs)
as an exporter of commodities but transitioning to more
sophisticated GVC participation would bring significant
gains

Congo participates in GVS as a high exporter of commodities. Countries participate in GVCs in different
ways, but there are patterns in the type of GVC integration and how countries upgrade their participation.
Countries being part of the commodities GVC taxonomy-group have a share of total domestic value added
lower than 60 percent, and backward linkages in manufacturing of less than 20 percent (see Box A1 in the Annex
for a definition of backward and forward linkages, and how to measure GVC participation). The commodities
GVC taxonomy-group is further divided into three subcategories: low participation, limited commodities, and
high commodities. Congo belongs to the latter, which includes countries whose primary goods’ share of total
domestic value added in exports is equal to or greater than 40 percent (Figure 47). 227



FIGURE 47
A Taxonomy of GVC participation




GVC linkages, 2015
           Low participation

           Limited commodities

           High commodities

           Limited manufacturing
           Advanced manufacturing
           and services
           Innovative activities

           Data gaps                                                                                                                   IBRD 44640 | AUGUST 2019



Source: World Bank (2020) WDR, World Bank.




Congo has higher GVC participation than most African countries. In 2011, Congo had around 28 percent
of foreign value added in its exports (backward participation), and about 32 percent of its value added
either absorbed as intermediates abroad or embedded in exports from other countries. 228 Congo’s forward
participation was slightly lower than the African average, but its backward participation was larger. The high
GVC participation of Congo is due to the significant foreign value added in exports of extractives and the
amount of them embedded in other countries’ exports.




227
    By contrast, other countries such as China, India and Turkey specialize in advanced manufacturing and services, while the United States is part of innovative GVC
activities. Similarly, most EU28 countries fall in one of these two categories. Source: GVC taxonomy. See World Bank (2020) WDR.
228
    Conde, C., Heinrigs, P., O’Sullivan, A., 2015. Tapping the potential of global value chains for Africa. Europe 57, 50–9.




                                                        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                121
CHAPTER 5 Trade Competitiveness and Diversification




Yet, the Congolese economy could gain substantially in terms of job creation, productivity, and growth
from transitioning to more sophisticated participation in GVCs, such as in manufacturing. While all forms
of participation in GVCs bring aggregate productivity and income gains for the countries involved, the benefits
are larger when countries transition from exporting commodities into exporting basic manufactured products,
such as garments, using imported inputs such as textiles (World Bank, 2020). This has happened recently in
countries such as Bangladesh, Cambodia, and Vietnam. Eventually, however, high economic growth cannot be
sustained without moving progressively to more sophisticated forms of GVC participation.


The transition from exporting limited numbers of commodities to more sophisticated participation in
GVCs has become increasingly demanding in terms of skills, connectivity, and regulatory institutions.
GVC participation is determined by factor endowments (land, labor, and capital), geography, market size,
and institutions, among other elements. These fundamentals alone do not necessarily determine outcomes,
however, as policies play an important role. The path toward greater integration into global value chains for
a commodity exporter like Congo requires a multipronged strategy covering different policy areas. The first
step for Congo would be the transition from commodities to limited manufacturing and services. Examples of
national policy that can support such a transition in GVCs participation are provided in Figure 48. 229



FIGURE 48
Transitioning to more sophisticated participation in GVCs: examples of national policy

                                  Commodities to limited                Limited manufacturing to advanced              Advanced manufacturing and
                                     manufacturing                          manufacturing and services                services to innovative activities


      Fundamentals                                                                 Policy priorities


                                                                          Foreign direct investment:
                                                      adopt supportive investment policy and improve the business climate


                                         Finance:                                                           Finance:
      Endowments
                                  improve access to banks                                        improve access to equity nance

                                         Labor costs:                    Technical and managerial skills:                    Advanced skills:
                            avoid rigid regulation and exchange            educate, train, and open to                   educate for innovation and
                                      rate misalignment                            foreign skills                          open to foreign talent


                              Access to inputs: reduce tariffs                                          Standardization:
                                and NTMs; reform services                                     harmonize or mutually accept standards
       Market size
                                      Market access:                                               Market access:
                                  pursue trade agreements                       deepen trade agreements to cover investment and services


                                   Trade infrastructure:
                                                                                                     Advanced logistic services:
                            reform customs; liberalize transport
                                                                                            invest in multimodal transport infrastructure
                             services; invest in ports and roads
       Geography
                                                            Basic ICT connectivity:                                      Advanced ICT services:
                                              liberalize ICT services; invest in ICT infrastructure                   expand high-speed broadband


                                       Governance:                                                   Governance:
                                  promote political stability                 improve policy predictability; pursue deep trade agreements
       Institutions
                             Standards certi cation: establish                      Contracts:                          Intellectual property rights:
                              conformity assessment regime                     enhance enforcement                            ensure protection


Source: WDR 2020, World Bank.




229
      World Bank’s WDR (2020). Trading for Development in the Age of Global Value Chains.




122       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                             CHAPTER 5 Trade Competitiveness and Diversification




5.3 Trade policy
5.3.1 High tariffs are hindering trade development
Congo applies the CEMAC common external tariff (CET) on imports from outside the CEMAC region,
which on average is high. CEMAC’s common trade policy includes two main instruments: the common
external tariff (CET) and a zero-rate preferential tariff for intra-CEMAC trade, both of which have been subject
to exceptions and flaws. The CEMAC CET, adopted in 2000, contains 5,478 tariff lines with all tariffs applied on
an ad-valorem basis over the cost, insurance, and freight (CIF) import value. The CET comprises five duty rate
categories (Figure 49) as follows: a 0 percent tariff for certain cultural and aviation products (31 tariff lines or
0.6 percent of all tariff lines); a 5 percent tariff for consumer staples (281 tariff lines or 5.1 percent of all tariff
lines); a 10 percent tariff for raw materials and capital goods (2,510 tariff lines or 45.8 percent of all lines); a 20
percent tariff for miscellaneous goods (671 tariff lines or 12.3 percent of all lines); and a 30 percent tariff for
discretionary consumer goods (1,968 tariff lines or 35.9 percent of all lines). The simple average CEMAC CET is
18.1 percent, which is high by global standards. By comparison, the CET of ECOWAS and MERCOSUR are 12.3
percent 14.0 percent, respectively. CEMAC tariffs are particularly high for certain manufactured goods such as
footwear, where more than 90 percent of tariff lines are in the highest tariff band of 30 percent duty; and for
stone, ceramic, and glass products, where more than 80 percent of tariff lines are subject to the highest duty
rate of 30 percent (Table A2 in the Annex). Food products are also highly protected with an average tariff of
close to 25 percent.

Congos’s applied most-favored-nation tariff is on average lower than CEMAC and African peers, but
higher than non-African peer countries. Given a series of exceptions and safeguards, CEMAC countries,
including Congo, establish national tariffs that deviate from the CEMAC CET for several hundred tariff lines.
Congo is the CEMAC country with the lowest rate on average. The simple average tariff for Congo in 2019 was
11 percent, which is lower than that of Cameroon (18.25 percent) for instance (Figure 50). A closer look at the
average tariff by HS-2 chapter230 (Figure A3 in the Annex) shows that the CEMAC countries maintain most-
favored-nation rates by chapter that are generally consistent with the duty rate levels of the CET. Yet, Congo
has tariffs lower than the CET for most chapters, but also tariffs higher than the CET in a few chapters, such as
preparations of cereals (HS-19), cereals (HS-10), books & newspapers (HS-49).


FIGURE 49                                                                              FIGURE 50
Most of CET bands are on the 10 or 30                                                  Congo’s applied MFN tariff is lower than
percent tariff category                                                                CEMAC and African peers, but higher than
                                                                                       non-African peers
Frequency of CEMAC CET bands                                                           MFN duty rate applied by Congo and peers, 2020

0.5                                                                                    20


0.4                                                                                    15


0.3                                                                                    10


                                                                                        5
0.2

                                                                                        0
0.1
                                                                                               Congo


                                                                                                       Cameroon


                                                                                                                  Nigeria


                                                                                                                            Ghana


                                                                                                                                      Mauritania


                                                                                                                                                   Botswana


                                                                                                                                                              Indonesia


                                                                                                                                                                          Malaysia




      0
                0        5        10        15       20        25      30

                             Ad-varolem duty, percent                                        Simple Average MFN rate                Trade-weighted average rate

Source: World Bank staff estimates using the CEMAC tariff schedule. June               Source: Authors’ calculation using data from WTO-IDB. June 2022.
2022.                                                                                  Note: Data for Congo and Cameroon are for 2019. MFN is most-favored-nation.



230
      HS 2-digit level of aggregation is also called chapter level.




                                                             Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                          123
CHAPTER 5 Trade Competitiveness and Diversification




The implementation of a free trade area within CEMAC has been challenging. As part of the reforms to
create the CEMAC customs union, tariffs for intra-CEMAC trade were removed by late-1990s. Although only
value added tax should be collected on products from other CEMAC countries, according to some sources,
duties are still collected in practice. For instance, World Bank (2018) reports about multiple “petty” harassments
or “tracasseries ”, which are a small-scale form of corruption that consists of many informal payments without
receipt or cause to public officials, including at the border, that increase trade costs. Determining origin for
duty-free treatment per the rules of origin seems to be subject to problems. 231 Simplifying rules of origin and
strengthening the capacity to implement the regime would be particularly important going forward to reduce
tariff avoidance, given bilateral preferences beyond the CEMAC region. 232 Furthermore, community transit trade
provisions apparently are not always followed. 233




5.3.2 The implementation of the African Continental Free
Trade Area (AfCFTA) presents a significant opportunity to
increase and diversify exports
The AfCFTA will provide opportunities for African countries, including Congo, to increase and diversify
exports, accelerate growth, and attract foreign direct investment. 234 The agreement will create the largest
free-trade area in the world measured by the number of countries participating. AfCFTA connects 1.3 billion
people across 55 countries with a combined GDP of US$3.4 trillion. It has the potential to lift 30 million people
out of extreme poverty but achieving its full potential will depend on putting in place significant policy reforms
and trade facilitation measures.


Real income gains from full implementation of the AfCFTA could reach seven percent by 2035, or nearly
US$450 billion, according to the World Bank. 235 Simulations under three scenarios: (i) tariff reduction, 236 (ii)
tariff and non-tariff barriers (NTBs) reduction, 237 (iii) tariff and NTB reduction with trade facilitation238 suggest
that broader reforms will generate greater income benefits. By 2035, Africa’s exports are estimated to grow
by US$560 billion as a result of the AfCFTA. The increase in exports of manufactured products is estimated at
about US$506 billion. Estimates for income gains for selected African countries are reported in Figure A6 in
the Annex. A country like Congo, which has a resource-based economy, can take advantage of the AfCFTA to
diversify its economy and trade, and shift away from the export of natural resources and commodities to more
diversified and advanced products. The AfCFTA will give Congo more opportunities to trade with neighboring
or regional countries. Indeed, according to Regolo (2013), when a country trades with similar countries, its
exports tend to be more diversified.


The scope of AfCFTA is larger than CEMAC. AfCFTA will reduce tariffs among member countries and cover
policy areas such as trade facilitation and services, as well as regulatory measures such as sanitary standards
and technical barriers to trade. It will complement existing subregional economic communities and trade
agreements in Africa by offering a continent-wide regulatory framework and by regulating policy areas—such as
investment and intellectual property rights protection (Figure A5 the Annex)—that so far have not been covered
in most subregional agreements in Africa. More specifically, compared to CEMAC, the AfCFTA incorporates
countervailing measures, customs, state-owned enterprises, investment, and intellectual property rights, which
CEMAC does not address. In comparison to trade integration with global partners, the AfCFTA is likely to have



231
    Certificates of origin for qualification (meeting raw-material or value-added content requirements) are issued by customs authorities where the producer is
situated. Reportedly, lack of expertise at these offices can result in certificates that are rejected in other CEMAC countries.
232
    This includes preferences currently in place and expected over time under the EU-Cameroon EPA. CAR and Chad are part of another regional grouping (CEN-
SAD), although an FTA has not yet been implemented.
233
    World Bank (2018).
234
    The AfCFTA officially started in January 2021. However, no trade has as yet taken place under the AfCFTA regime. Negotiations on some aspects, such as in
rules of origin, are ongoing and as of May 2022, 43 countries have deposited their instruments of ratification.
235
    World Bank (2020b).
236
    Starting in 2020, tariffs on 90 percent of tariff lines will be eliminated over a 5-year period (10 years for least developed countries, or LDCs). Starting in 2025,
tariffs on an additional 7 percent of tariff lines will be eliminated.
237
    It is assumed that 50 percent of NTBs can be addressed with policy changes within the context of the AfCFTA—with a cap of 50 percentage points. It is also
assumed that additional reductions of NTBs on exports will be forthcoming.
238
    Estimates of the size of these trade barriers were provided by de Melo and Sorgho (2019). These are halved, although capped at 10 percentage points.




124    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                         CHAPTER 5 Trade Competitiveness and Diversification




a greater impact on African countries’ exports and export diversification since these countries have similar
factor endowments. Indeed, it is found in the theoretical and empirical literature that exports between partners
with similar factor endowments (such as “South-South” or “North-North”) are more diversified than exports
between partners with different endowments (“South-North” and “North”-“South”). 239 Also, since an increase
in diversification of exports has been associated in the literature to lower bilateral trade costs and to regional
integration, Congo can leverage AfCTFA through customs reforms and improved connecting infrastructure to
decrease trade costs with neighboring countries.


Increased integration between the contiguous cities of Brazzaville and Kinshasa represents a significant
opportunity for trade development. With about 20 million people (and predicted to become the largest
urban agglomeration in Africa in the medium term), the Brazzaville-Kinshasa urban agglomeration (2.5 and
17.1 million inhabitants estimated in 2021, respectively) would greatly benefit from further integration between
the two cities. However, excessive costs of crossing the Congo River due to port infrastructure bottlenecks,
administrative hurdles, and costly transit procedures, and an uncompetitive market structure coupled with
poor management by the dominant river crossing traffic transport operators, limit the movement of goods and
people. The volume of trade between the Congos and, therefore, between the two cities is very low—although
underestimated because of informal trade. The trade cost-elasticity of trade between the two cities is estimated
at 0.8 implying that halving of the trade costs would trigger a 40 percent increase in the volume of trade.
Furthermore, academic research in economic geography suggests that urban agglomeration is a key engine
of growth in developing countries. Therefore, easing the Kinshasa-Brazzaville trade bottlenecks could yield
medium-term growth effects that extend to the wider economies of both Congos. 240




5.3.3 Detailed official Information on non-tariff measures is
lacking in Congo
Beyond tariffs, a range of non-tariff measures (NTMs) and procedural obstacles to trade are reported for
Congo and add to trade costs. Broadly defined, non-tariff measures are policy measures other than customs
tariffs that can potentially have an economic effect on international trade in goods, changing quantities traded,
prices or both. NTMs are classified into three categories: technical measures, non-technical measures, and export
measures (see Table A3 in the Annex). Application of standard measures, however, faces many constraints,
including numerous players with unclear roles and overly general regulations, as well as a lack of human and
financial resources. The CEMAC agreement established a process for the harmonization and mutual recognition
of technical measures and procedures, and approval and certification procedures. This process, however, has
not advanced in practice and standards regimes tend to differ across CEMAC countries. NTMs related to export
measures are not harmonized among the members. Export controls are applied by all countries for certain
natural resources (e.g., timber) reportedly for environmental reasons or to encourage local processing.


Though many NTMs pursue primarily non-trade objectives, such as protecting public health or the
environment, they may also act as obstacles to trade due to their heterogeneity, opacity and complexity,
or to the cumbersome procedures that are imposed to enforce compliance. The so-called non-tariff barriers
(NTBs) are ill-designed NTMs deemed either more trade-restrictive than required to pursue the non-trade
objective or purely protectionist in nature. NTBs on imported intermediate products can hurt downstream
producers. If some of these producers are also exporters, poor NTM design will hurt national competitiveness
by increasing export costs. As NTMs can raise the prices of intermediate and final goods, they have an impact
not only on trade, investment and GVCs, but also on poverty and income distribution.


Transparency of import and export regulations and procedures is lacking in Congo and detailed official
information on NTMs is not readily available. Provisions in the WTO Trade Facilitation Agreement call for
increased transparency in this respect via trade information portals. To date, the most comprehensive collection


239
    Regolo (2013).
240
    World Bank (2012). “De-Fragmenting Africa” and World Bank (2015). Republic of Congo Trade Facilitation Intervention, Trade Facilitation between Congo and
its Neighbors: Addressing the Bottlenecks.




                                                     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification           125
CHAPTER 5 Trade Competitiveness and Diversification




of NTM information at the product level is provided by a recent effort by international organizations. This has
resulted in the Trade Analysis and Information System (TRAINS) database managed by UNCTAD, which is the
most comprehensive database on NTMs for more than 110 countries, 241 not including Congo.




5.3.4 Trade development can have detrimental distributional
impacts that need to be mitigated
Although trade brings overall gains to households and is a well-established driver of growth and
poverty reduction, changes in trade policy have distributional impacts that create winners and losers.
Gains from trade do not accrue equally across and within countries, industries, jobs, and regions. Labor market
and consumption gains tend to concentrate in some regions and among some groups. These concentrated
impacts could persist because of steep adjustment costs (more so for vulnerable groups), and they are related
to geographical barriers, policy distortions, and industry- and occupation-specific human capital. For instance,
trade liberalization can produce benefits for the poor through lower prices, but these are often not fully passed
on to consumers because of barriers related to geography, the market power of intermediaries, and the structure
of domestic markets. In addition, most countries have reduced tariffs, but nontariff barriers, inadequate
infrastructure, and other impediments to trade continue to be prevalent across developing countries, raising
trade costs, and making it difficult to spread the benefits of trade. These impacts increasingly serve as an
argument for protectionism and greater economic nationalism. Indeed, anti-trade attitudes have escalated in
countries that have been unable to attract better export-oriented jobs or that offer little help for workers who
experience trade-related dislocation.


Unfortunately, data limitations do not allow for an empirical analysis of the distributional impact of
trade in Congo. An analysis of the distributional impact of trade reforms in Congo would require first collecting
input/output data for the Congolese economy and integrating them into a CGE model to estimate the impact
of trade reforms on variables such as production, prices, wages, and trade. With the help of detailed household
and labor data in a micro-setting, such simulations could be used to estimate the impact of reforms across
different groups.


The following policy options would support export diversification. Detailed policy recommendations are
provided in Table 9.
                                                                                                                                                                 © Erwan Morand/World Bank




  Multi-agency Support Team provided substantial support to improve the collection of NTM data. As a result, the Transparency in Trade initiative was launched
241

by UNCTAD, the African Development Bank, the International Trade Centre and the World Bank.




126    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                            CHAPTER 5 Trade Competitiveness and Diversification




5.4 Policy options to support export
diversification

5.4.1 Further reduce tariffs and enhance regulatory
transparency
Although Congo applies, on average, lower tariffs than the CET, it could lower tariffs that are still
high and advocate reform of the CEMAC tariff regime, including eliminating the top tariff band of 30
percent. Eliminating the top tariff band of 30 percent (which is the maximum tariff rate) to converge to a tariff
schedule with only four tariff bands (i.e., zero, five percent, 10 percent and 20 percent, see Figure 49) would
simplify the CET regime and lower the average tariff. Also, tariff reductions should be considered for capital
goods and key inputs in critical sectors such as agriculture and agro-industry. The transparency of import and
export regulations and procedures should be improved, including simplifying rules of origin procedure and
data collection. Finally, the reduction and/or elimination of some additional taxes, fees, and informal payments
assessed on imports into the CEMAC should be considered, including “ tracasseries ”, that further increase
customs charges on imports on top of already high import duties.




5.4.2 Collect data on NTMs
The Government of Congo needs to collect and publish detailed data on NTMs in the country. The
paucity of data on trade policy measures has been the main problem behind the study of the effects of NTMs
(including NTBs), and this is also the case for Congo. The fact that NTMs are increasingly used to regulate
international trade makes the need to update data even more compelling. Also, the lack of this data discourages
trade as traders cannot accurately estimate their costs and therefore their profit margins. The reason behind
the scarcity of databases on NTMs is largely related to the difficulty in collecting the data and in assembling
consistent databases. Unlike tariffs, NTM data are not merely numbers; the relevant information is often hidden
in legal and regulatory documents. Moreover, these documents are generally not centralized but often reside in
different regulatory agencies. All these issues make the collection of NTM data a very resource intensive task.
Box A2 provides, in a nutshell, the guidelines to collect data on NTMs. 242




5.4.3 Improve collection of customs data
The Government of Congo needs to improve the collection of customs data. There were large discrepancies
between the UN COMTRADE trade data and the firm-level trade data received from Customs for this report.
Customs data comes from the electronic system (SYDONIA), which does not include all transactions, as
Customs focuses on transactions that generate revenues for the government. Thus, transactions for goods
that are exempted from taxation are not always included in the database. On the other hand, the National
Institute of Statistics (INS) collects trade data for all transactions and from several sources and reports it to UN
COMTRADE. 243 Accurate firm-level customs data are needed for a deeper analysis of several aspects of export
competitiveness, including assessing in more detail export survival, market concentration, GVC participation,
and export diversification.




242
   For more information, refer to: https://unctad.org/webflyer/guidelines-collect-data-official-non-tariff-measures-2019-version
243
   For instance, in the case of exports of forestry products, they substantiate the data received from customs with data from the Directorate of Forest Products
Export Control Service, and the value reported by INS is often significantly higher than what customs provides as customs mostly cares about recording the taxable
value of the transaction.




                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification              127
CHAPTER 5 Trade Competitiveness and Diversification




Accelerating the implementation of the PREF-CEMAC II objective of online data sharing among CEMAC
countries’ customs services, as well as the establishment of joint border control posts will further
improve trade statistics. Joint border control posts with all neighboring countries will help reduce the time
required for custom clearance, especially if the new border control posts are highly automated in accordance
with evidence-based risk management to minimize officials’ discretion in inspections. Congo could also pursue
online data sharing agreements with the customs authorities of major trading partners such as China. This
would help reduce discrepancies in mirror statistics, while also enabling faster clearance of cargo through
online pre-arrival clearance of imports.




5.4.4 Accelerating the implementation of AfCFTA
The Government should support the speedy conclusion of remaining negotiations in AfCFTA, on issues
such as rules of origin, and the swift implementation of the agreement. Although the AfCFTA has in theory
been operational since the beginning of 2022, in practice no trade has happened under its terms because
of continued negotiations on implementing regulations. At the time this report was being written, the trade
negotiators still have work to do in agreeing on rules of origin, which are the set of requirements different
products must undergo to get considered as originating in a member country and be exported to another
member country tariff free. Besides supporting a speedy implementation of the AfCFTA, Congo needs to address
domestic constraints that impede investment and trade, including by improving the business environment for
the private sector (see Chapter 1).




5.4.5 Policies for greater GVC participation
The path toward greater integration in global value chains for a commodity exporter like Congo
requires a multipronged strategy (Figure 48) aiming at different aspects such as: increasing the country’s
attractiveness as an foreign investment destination (Chapter 1), improving access to credit, avoiding rigid
regulation of the labor market, improving access to inputs by reducing tariffs, streamlining NTMs and reforming
services, pursuing deeper trade agreements, reforming customs, liberalizing transport services, and investing
in ports and roads (Chapter 1 and 6), investing in basic ICT connectivity (Chapter 4), promoting policy stability,
and establishing a conformity assessment regime for product standards certifications. These policies would be
key to leveraging the positive impact of the AfCFTA.




5.4.6 Policies to mitigate the negative impacts of trade
Three types of complementary policies are necessary for trade to promote a reduction in poverty
and inequality: (a) reducing distortions and strengthening the functioning of markets, (b) reducing
trade costs, and (c) accelerate labor market adjustment. The first type of policies includes measures to
improve the business environment (see Chapter 1), strengthen firm productivity through initiatives such as
supply-linkage programs (i.e., programs that facilitate business between domestic smaller firms and larger
ones that are integrated into GVCs), and ensuring a strong competition policy framework (Chapter 3). These
policies are critical for enabling the more productive parts of the economy to grow and expanding the benefits
arising from new export opportunities and greater market access. Policies to reduce trade costs include
investing in transport and ICT hard and soft infrastructure (Chapter 1, 3 and 6), improving access to finance, and
streamlining non-tariff measures. These policies help ensure that the export competitiveness of domestic firms
is not hampered by excessive costs and unnecessary bureaucracy. Finally, policies to accelerate labor market
adjustment facilitate the reallocation of workers toward more productive activities, thereby maximizing gains
from openness to trade and ensuring that adjustment costs are borne by society at large rather than by the few
workers whose jobs are displaced. Such policies include providing training and relocation support to facilitate




128   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                          CHAPTER 5 Trade Competitiveness and Diversification




workers’ mobility across sectors, but also social protection (unemployment insurance and other social safety
nets, universal health insurance) to support workers facing job losses. Engel, et. al. (2021) provides a detailed
discussion of these complementary policy pillars.



TABLE 9
Detailed Policy Recommendations to Support Export Diversification

                         POLICY OPTIONS                                           RESPONSIBILITY                       PRIORITY


  Policy reform to support diversification


  •	 Reduce tariffs that are still high and advocate reform of             Ministry of Trade, supply &
     the CEMAC tariff regime, including eliminating the top                 consumption, Ministry of                 SHORT-TERM
     tariff band of 30 percent.                                                Finance & Budget



  •	 Support the speedy conclusion of remaining negotiations
     in AfCFTA, on issues such as rules of origin, and the swift           Ministry of Trade, supply &
                                                                                                                    MEDIUM-TERM
     implementation of the agreement to support greater GVC                       consumption
     participation.


  •	 Consider policies to mitigate the negative impact of trade
     liberalization:
     (a)	 reducing distor tions and strengthening the
          functioning of markets,                                         Multiple government bodies                MEDIUM-TERM

     (b)	reducing trade costs, and
     (c)	 speeding up labor market adjustment.


  Data collection to inform policy reforms

                                                                          Multiple government bodies,
                                                                             ideally led by office of
  •	 Collect and publish detailed data on NTMs.                                                                      SHORT-TERM
                                                                          Prime Minister or Ministry of
                                                                               Budget & Finance



  •	 Improve collection of customs data to ensure accurate                 National Statistics Agency,
     measurement of imports and exports, through for                      Customs, Ministry of Trade,
                                                                                                                     SHORT-TERM
     instance the establishment of joint border control posts                supply & consumption,
     and online data sharing agreements.                                  Ministry of Finance & Budget




                                          Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   129
130   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
© Erwan Morand/World Bank




                            CHAPTER 6

                            Logistics and
                            Eco-tourism
                            to Support
                            Diversification




                              Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   131
CHAPTER 6 Logistics and Eco-tourism to Support Diversification




This chapter looks over two key trade-related topics that have the potential to significantly contribute to
export growth and economic diversification in Congo: logistics or trade facilitation; and eco-tourism.
Improved efficiency of logistics processes could reduce trade costs, including for imports of equipment needed
for the development of special economic zones and increase exports of merchandise goods, including in non-
hydrocarbon sectors. Ecotourism, a sector with great unrealized potential in Congo, could provide important
contributions to job creation, rural development, and exports of services.




6.1 Trade facilitation: bottlenecks and
opportunities
6.1.1 The logistics in Congo are facing widespread challenges
Inadequate infrastructure as well as transport and logistics inefficiencies raise production transport
costs, hindering competitiveness. High transport and logistics costs are a tax on competitiveness and
development. The quality and efficiency of logistics services matter for international trade, as weak logistics
infrastructure and operational processes can be a major obstacle to regional and global trade integration.
Logistics services provide sectoral connections within the local economy, and they also connect the domestic
economy to international markets.

Although Congo’s logistics performance has recently improved, it is weaker than in most comparator
countries. Congo has improved its performance over time as measured by its score in the Logistics Performance
Index (LPI) that rose from 2.08 in 2014 to 2.49 in 2018 (Figure 51-a). Congo’s scores increased in the LPI’s
six indicators between 2014 and 2018, with customs, international shipments, and timelines showing the
largest improvements. Despite these improvements, Congo ranked 115th out of 163 countries in the LPI in 2018
(Figure 51-b). In this figure, the axis is the ranking, and the farther from the center the position, the worse the
performance. Among comparator countries, only Mauritania ranks lower than Congo in the overall LPI. Also,
Congo has the worst performance of the group in infrastructure. 244 Timeliness and international shipments are
the only two dimensions where Congo ranks close to the peers’ average.


FIGURE 51
Congo’s logistics performance has been improving but lags against peers
a. Congo’s LPI scores, 2014-2018                                                                                            b. LPI rankings of Congo and peers, 2018

3.5                                                                                                                                                      Overall LPI
                                                                                                                                                          160
3.0
                                                                                                                                                         120
2.5                                                                                                                                Timeliness                                  Customs
2.0                                                                                                                                                        80

1.5                                                                                                                                                        40
1.0                                                                                                                                                         0
0.5                                                                                                                               Tracking                                       Infrastructure
  0
         Overall LPI


                       Customs


                                        Infrastructure


                                                          International
                                                             shipments

                                                                           Logistics quality
                                                                          and competence

                                                                                               Tracking and
                                                                                                     tracing


                                                                                                               Timeliness




                                                                                                                                                                         International
                                                                                                                                             Logistics                    shipments

                                                                                                                                      Vietnam               Malaysia               Indonesia
                                                                                                                                      Cameroon              Ghana                  Nigeria
                                 2014                    2016               2018                                                      Congo                 Mauritania


Source: World Bank. June 2022.


244
   The lower rating in 2018 under infrastructure is probably linked to the fact that the port was undergoing an extension in 2018 that penalized operations. The
situation has improved since.




132    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                CHAPTER 6 Logistics and Eco-tourism to Support Diversification




Ports are used mostly for transshipment of goods. Pointe-Noire is the main maritime gateway for Congo, and
most of its traffic is linked to transshipment. Pointe-Noire is a very specialized port, with two main types of traffic:
oil industry exports and container traffic (Figure 52-a). The other traffic components are small, and volumes are
balanced between imports and exports: imports consist mostly of grain and inputs for cement factories, and
exports are almost exclusively forestry products. The moderately high container activity in Pointe-Noire, with
traffic exceeding one million Twenty Equivalent Units (TEUs), a standard measurement for container traffic,
for the first time in 2021, is mostly linked to transshipment to the other regional ports245 for which Pointe-Noire
plays a role as a regional hub (Figure 52-b). Outside of transshipment, containers related to the external trade
of Congo and neighboring countries served by land transport are only a marginal part of the port’s activity,
and volumes are low: less than 80,000 TEUs for imports and barely above 10,000 TEUs for export (consisting
mostly of forestry products and copper exported in containers). These volumes include an undetermined part246
as transit to Angola (Cabinda) and marginally to the Democratic Republic of Congo (Kinshasa). Not all overseas
trade of Congo passes through Pointe-Noire. As the port of Douala in Cameroon is located closer to the forestry
industry located in the northern part of Congo, timber companies choose that port for some of their exports.


 FIGURE 52
Most of Congo’s port traffic is linked to transshipment
a. Port of Pointe-Noire Activity, 2016-2021                                          b. Container traf c in Pointe-Noire, 2019-2021

               18                                                                                    900
               16                                                                                    800
               14                                                                                    700
               12                                                                                    600
                                                                                     Thousand TEUs
Million tons




               10                                                                                    500

                8                                                                                    400

                6                                                                                    300

                4                                                                                    200

                2                                                                                    100

                0                                                                                      0
                    2016      2017        2018   2019     2020      2021                                    Loaded        Loaded      Outbound Transhipment
                                                                                                           containers    containers     empty
                                                                                                           for import    for export   containers

                           Oil industry     Containers    Others                                                        2019      2020       2021

Source: National authorities. June 2022.




Inland transport and logistics in Congo have two main markets, one of which is bimodal. The most
important market in terms of volumes is the Pointe-Noire – Brazzaville corridor and a more modest one is the
area of Ouesso in the north for the forestry industry. The Pointe-Noire – Brazzaville corridor is bimodal (rail and
road), with a rail link (operated by an SOE, the Chemin de Fer Congo-Océan) experiencing difficulties due to
ageing infrastructure and rolling stock, and a toll road (opened in March 2016), operated under a concession
contract by La Congolaise des Routes. 247 Before the opening of the road, the railway had a virtual monopoly
on transport between Pointe-Noire and Brazzaville, but volumes remained modest: peak rail traffic for the last
decade was around 500,000 tons. On the road, the traffic is 1,100 vehicles248 (all types, freight, passengers
and individual cars), mostly concentrated on the segment Pointe-Noire – Dolisie, with trucks predominant on
the rest of the route. A weighbridge is in operation, providing information on the daily truck traffic, which was
around 300 vehicles per day in January 2022 in for both directions.




245
    Transshipment corresponds to transfer of containers (ship to ship) between long haul lines, notably on the Asia-Central Africa shipping lanes, and the regional
ports (in Equatorial Guinea, Democratic Republic of Congo, and others) on feeder lines.
246
    The Port of Pointe-Noire statistics do not detail information on transit, but it is assumed that both containers and general cargo could be in transit.
247
    La Congolaise des Routes is a PPP with the Government of Congo, EGIS, a French company, and China State Construction Engineering as majority shareholders.
248
    Traffic and weighbridge data provided by La Congolaise des Routes, https://www.lcr.cg/index.html), the operator of the toll road.




                                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification             133
CHAPTER 6 Logistics and Eco-tourism to Support Diversification




The forestry industry constitutes a specific segment of the inland logistics in Congo, with concessions
clustered in two main areas: (i) in the south, close to the port of Pointe-Noire, and (ii) in the north, around
Ouesso, much closer to the port of Douala (Cameroun) and therefore using both Douala and Pointe-Noire for
export trade. The north represents on average 60 percent of the total timber production of Congo.


Despite automation, logistics processes and trade procedures remain complex. Several institutions
are involved in trade procedures, and most have implemented IT systems to manage their documentation
processes. The import procedures can be divided into three main stages, involving many actors with varying
degrees of automation: (i) upstream import authorizations, (ii) the logistics processes at the port, and (iii) the
clearance, as illustrated in Figure 53.


FIGURE 53
Trade Procedures and Systems in Congo

       Import Authorization                                            Logistics                                            Clearance


      •	 GUOT for Import                                   •	 Shipping lines must                                •	 Cotecna acts as
         Declarations and                                     issue a Bill of Lading that                           Destination Inspection
         Transport Titles                                     contains reference to the                             provider for Congo,for
                                                              Import Declaration and                                goods valuation and
      •	 Congolese Shippers
                                                              eCTN                                                  certification, as well as
         Council for eCTN
                                                                                                                    scanning.
                                                           •	 Port of Pointe-Noire has
                                                              an exit single window                              •	 Customs and Webb
                                                              (physical) to control exit                            Fontaine have launched
                                                              of goods.                                             a pre-customs Single
                                                                                                                    Window, ‘eDouanes’.
                                                                                                                 •	 Congo Customs is using
                                                                                                                    ASYCUDA for its customs
                                                                                                                    operations.




In the upstream authorization process, two main systems co-exist. First, the electronic Cargo Tracking
Note (eCTN)249 was introduced in May 2008 by the Congolese Shippers Council (Le Conseil Congolais des
Chargeurs), with a private operator, BIM250, as the service provider for the issuance of the CTN and its electronic
version. Second, the trade Single Window (Guichet Unique des Operations Transfrontalieres, GUOT) was
launched in November 2014 to replace the manual procedure in which traders had to apply for clearance
from the Ministry of Commerce to obtain the eCTN from the Congolese Shippers Council. The GUOT251 was
developed by a technical solution provider under a PPP agreement, for 5.3 million Euros. On average, it handles
332 transactions per day, split into six percent for export declarations, 61 percent for Import Declarations,
and 23 percent other for transactions. It is important to note that although GUOT aims to cover all modes of
transport, it is only operational for the port of Pointe-Noire. Both systems generate a unique reference for the
import declaration, the transport title, and the eCTN that the shipper must communicate to the shipping line at
the time of the booking so that the Bill of Lading contains that reference. For specific commodities, additional
line ministries and agencies are involved, for instance, Ministry of Agriculture for SPS252 certificates, or Ministry
of Mining Industries for ore exports. In addition to the valuation program managed by a private provider,
Cotecna, that is part of the clearance stage, a certification program at pre-shipment stage was launched in
2022, with two providers, Cotecna in January 2022 253 and Bureau Veritas in April 2022, 254 in partnership with
the Congolese Agency for Standardization and Quality.


249
    Or Bordereau Electronique de Suivi de Cargaison, BESC.
250
    The eCTN is the main revenue stream for the Congolese Shippers Council, which receives 70 percent of the revenue generated by the eCTN, with the remaining
portion retained by the operator. https://docs.wto.org/dol2fe/Pages/SS/directdoc.aspx?filename=r:/WT/TPR/S285R1-03.pdf&Open=True
251
    Additional information on the GUOT is available in the UNECE SW Case Study Repository at https://unece.org/DAM/cefact/single_window/sw_cases/
Download/2019/CongoRep_Fre.pdf.
252
    Sanitary and Phytosanitary Certificate.
253
    https://www.cotecna.com/en/media/news/cotecna-signs-a-5year-voc-contract-with-congo-brazzaville
254
    https://verigates.bureauveritas.com/sites/verigates/files/2022-04/VoC-%20Congo%20-%20Flyer%20-E-1.1.pdf




134   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                   CHAPTER 6 Logistics and Eco-tourism to Support Diversification




                                                                                                                                                               © Chuttersnap/unsplash.com
In contrast, the logistics stage is less structured. The only form of coordination in the logistics portion of
the process is an Exit Single Window for the port, launched in April 2019, but only as a physical location for
the coordination of all the stages leading to the physical release of the goods from the port. However, this may
need to change. In April 2019, the Facilitation of Internal Maritime Traffic (FAL) Convention, of which Congo is a
signatory, enforced a major amendment requiring national governments to implement the electronic exchange
of information related to maritime transport. This amendment is expected to enter into force in January 2024.
There is currently no project to develop a maritime single window or a port community system at the port of
Pointe-Noire, but with the mandatory requirement linked to FAL, this could provide an opportunity to rationalize
the different IT tools used by different border and trade agencies in Congo.


The clearance of imported goods shows a similar coexistence of different systems. Customs are, in general
and not specifically in Congo, vigilant about potential fraud on the value or quality of goods, and outsourcing
this verification to inspection companies has been a general trend. Congo replaced pre-shipment inspection,
which was then part of the upstream authorization process, with destination inspection performed by Cotecna
when the goods have arrived, therefore at the clearance stage. Clearing and forwarding agents must obtain
valuation reports from Cotecna255 before submitting the declaration in the Customs system, which is using the
UNCTAD ASYCUDA (Automated System for Customs Data) system. 256 In September 2018, Customs launched
eDouanes, a Customs Single Window operated by Webb Fontaine for the customs processes and declarations
(plus possible tracking if goods are not cleared in Pointe-Noire) that adds a step before its ASYCUDA system
used for the clearance of goods. Validated pre-import declarations were introduced in eDouanes in March 2019.


Despite automation, users still report significant difficulties in obtaining different documents. This is
notably due to the fact that the systems are sequential, and one stage needs to be completed before initiating
the process in the next one. Time delays due to inefficient customs and administrative procedures have become
the main non-tariff barrier that obstructs international trade. For instance, international experience finds that
longer time delays at the border would significantly decrease highly perishable agricultural products’ quality
and price. 257


255
    AV (valuation certificate) and AR (inspection report).
256
    Or Système douanier automatisé (SYDONIA).
257
    Liu and Yue (2017).




                                                             Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   135
 CHAPTER 6 Logistics and Eco-tourism to Support Diversification




 6.1.2 Trade costs are high across the board: freight rates,
 port costs, land transport, and documentation
 Freight rates to and from Congo have risen, impacted by the global shipping trends of rising prices
 as well as congestion at the container terminal. As a reference, the cost of shipping a 20’ container of
 vegetable oil from Indonesia rose from US$2,400 in 2019 to US$4,800 in 2022, while the cost of shipping a 40’
 container of salted fish (reefer) from Norway rose from US$4,000 in 2018 to US$17,500 in 2022. Rates have also
 been impacted by congestion at the container terminal, starting in August 2020, which has led some shipping
 companies to implement a port congestion surcharge. 258


 Compared to other West African ports, container handling costs in Congo are expensive (Figure 54). For
 different transport segments, Pointe-Noire handling costs are much higher than other ports in West Africa. The
 Port Authority and the container terminal have public tariffs, detailed in Table A4 (Annex). Cargo handling is
 paid by the shipper for loaded containers only, but the port authority is levying fees for both loaded containers
 (paid by shippers) and empty containers (paid by the shipping line). Import and export container handling costs
 in Pointe-Noire are around US$540 and US$295 respectively. 259 Terminal operators often apply reduced rates
 for a selection of essential goods (‘first necessity’) that may differ from country to country, and most West
 African ports have special tariffs for transit containers. On the other hand, the transit of containers is not a
 contested market in Central Africa, as Chad and CAR primarily use the port of Douala, so Congo’s Terminal does
 not have any incentive to offer preferential rates for containers in transit through Congo.


 FIGURE 54
 Container handling costs in Pointe-Noire are higher than in other West African ports
                 350

                 300

                 250
Thousands CFAF




                 200

                 150

                 100

                  50

                   0
                          Standard 20'         Special rate 20'         Transit 20'           Standard 20'            Special rate 20’             Transit 20'
                             import                import                inbound                 export                   export                   outbound

                                            Dakar            Abidjan            Lomé             Cotonou               Pointe-Noire


 Source: World Bank Staff calculations. June 2022.




 Long-distance road transport costs in Congo are higher than the average in West Africa. For instance, the
 road between Pointe-Noire and Brazzaville is 525 km, and it costs on average CFAF 1.1 million, or US$1,770, i.e.,
 US$3.4 per km per a truckload. Yet, some operators, such as trucking companies under contract with shipping
 lines for Through Bill of Lading260, charge CFAF 900,000 (US$1,470) for the trip. The distance between Ouesso
 and Pointe-Noire is 1,300 km and the freight cost is CFAF 2.5 million or US$4,020, i.e., US$3.1 per km per a




 258
     The Congolese Shippers Council has been conducting several trade costs studies, with the last update dating from April 2022.
 259
     Assuming containers are delivered without stripping, CFAF 330,000 = US$540 for import in a 20’ container, and for export, price is CFAF 120,000 + CFAF 60,000
 = US$295, also for a 20’ container.
 260
     A Through Bill of Lading is when the destination port nominated is an inland destination, for instance Brazzaville, as opposed to a Bill of Lading that nominates
 a port as destination, for instance, Pointe-Noire. Under a Through Bill of Lading, the inland portion of transport to the nominated destination is under the
 responsibility of the shipping line.




 136               Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                   CHAPTER 6 Logistics and Eco-tourism to Support Diversification




truckload. These costs are notably higher than in West Africa261. As an international reference, flatbed rates
in the USA in April 2022 were at US$2.15. Comparable references for other African corridors date back from
before the global increase in fuel prices.


The tariffs paid for the tolls are not included in the rates quoted above and they are paid by the shippers
on top of the trucking rate. There are seven toll gates between Pointe-Noire and Brazzaville, and large trucks
(anything with three axles or more) pay CFAF 30,000 per gate, whether the truck is full or empty. Therefore, a
delivery to Brazzaville, knowing that returns are typically empty, bears a toll cost of CFAF 420,000 in addition
to the trucking rate of CFAF 1.1 million. In addition to toll gates, several border and enforcement agencies, as well
as municipalities, charge formal and informal fees. According to the Congolese Shippers Council report, these
additional fees amount to CFAF 54,000 between Pointe-Noire and Brazzaville, and CFAF 106,000 between
Brazzaville and Ouesso.


Two main factors that influence road transport prices in Congo are operational practices and fuel
consumption. These two factors are explained below:

    (i)	 Operational practices. Most companies operate on the basis of a weekly roundtrip Pointe-Noire –
         Brazzaville due to terminal delays at port and destination. Night driving is prohibited, but there are no
         labor regulations limiting the number of hours a driver can drive in a day. Yet, some companies also use
         a system in which tractors are just shuttling between Pointe-Noire and Brazzaville, hooking to trailers
         when ready. This mode of operation allows for two roundtrips per week, reducing the fixed costs at the
         expense of additional equipment positioned at the two ends.

    (ii)	 Fuel consumption. Trucking operators reported a high level of fuel consumption for roundtrips, 740
          liters when loaded in both directions on Pointe-Noire – Brazzaville, and 680 liters with an empty return,
          and a tanker company reported 700 liters for a roundtrip, with an empty return. This equals respectively
          65 liters per 100 km loaded and 60 liters per 100 km with an empty return, which is high considering
          the age of the truck fleet, for which consumption should be below 50 liters per 100 km loaded. One
          explanation is that drivers sell excess fuel on the road, and companies have not been able to prevent this
          practice.




                                                                                                                                                                            © Erwan Morand/World Bank




261
    No region wide surveys were conducted on road freight prices since the recent peak of fuel prices, to allow for comparison beyond the USA indices. Road
transport tariffs to Burkina Faso in May 2022, ranged from US$2.42 per km on Abidjan–Ouagadougou, to US$2.84 per km on Lomé–Ouagadougou. However, the
differences in rate per km are an artifact of the equalization of the rates from all the transit ports, which happen to be at different distances, than a true reflection
of a price per km, as all full load trucks range between CFAF1.65 million and 1.7 million irrespective of the port.




                                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                  137
CHAPTER 6 Logistics and Eco-tourism to Support Diversification




Documentation costs are especially high. Traders and logistics operators reportedly perceive several of the
documents and associated fees as rent extraction from border and trade agencies. This disconnect is created
because the tariff of the procedure is not set to reflect the actual cost of the service provided, but rather
generate revenue for the trade and border agencies. In several cases, different documents seem to cover similar
purposes. The latest CCC report provides information on the cost of trade-related procedures.


The documentation costs in Congo are far higher than other countries in the region. The relatively high
volumes at the port of Pointe-Noire, comparable for instance to those of Abidjan in Cote d’Ivoire262 and Dakar in
Senegal263, hide the fact that this traffic does not exit the port on the land side, with most of the container traffic
being transshipment, and the oil traffic directly exported. Actual external trade handled by the different IT
systems put in place by the trade and border management agencies is comparatively much smaller than in the
two West African countries, which both have a real Single Window in place rather than a multiplicity of systems.
Developing a Single Window or similar IT tools for trade implies development and operating costs, which are
generally recovered through a user fee per transaction. The UNECE Single Window Repository264 provides
information on development and operating costs, fees, and transaction volumes for several Single Window
systems, and Table A6 (Annex 5) provides that information for the African Single Window systems covered by
the study. The fee for Senegal is roughly consistent with the annual operating costs (assuming 300 working
days per year), while for Kenya, which does not charge fees, a fee of US$4 per transaction under the same
hypothesis, would cover the operating costs. In Congo, the revenue generated under the same assumptions is
around US$25 million per year which is very likely to be far higher than operating costs. 265




6.1.3 Public-private dialogue is aiming to craft solutions but
fails at implementation
The private and public stakeholders are aware that trading costs are high in Congo, and several
forums have been established or tasked to address them. Three initiatives are worth describing. First, the
Congolese Shippers Council regularly updates cost analysis and discusses options for reducing costs266, but
most, if not all, recommendations remain unimplemented. Second, a committee was established in October
2015 by the Minister of Transport and Civil Aviation for the Port of Pointe-Noire community, and recently met
in January 2022 to review a range of recommendations. One of the recommendations, for instance, led to
the creation of an Exit Single Window for the port (aforementioned). Third, an inter-Ministerial committee on
the improvement of the business environment, supported under the World Bank-financed PADEC Program,
reviewed the procedures and past recommendations for reducing the cost of trading in Congo. A report was
prepared and reviewed in March 2020.




6.1.4 Policy recommendations to decrease costs and
increase efficiency of the logistics system
The following policy options would improve the efficiency of the logistics systems. Detailed policy
recommendations are provided in Table 10.


A government review of PPP arrangements of concessions and contracts with external service providers
would aim to reduce costs. The systematic use of concessions and contracts with external service providers
likely drives up costs. With several PPPs for trade procedures for which investment and operating costs can only
be recouped from a very limited number of trade transactions, it is not surprising that trade procedure costs
are higher in Congo than in other countries in Africa. High costs also hold for other PPP arrangements outside



262
    27 million tons, 760,000 TEUs in 2020.
263
    19.4 million tons, 700,000 TEUs in 2020.
264
    https://unece.org/trade/uncefact/SW-repository and https://unece.org/fileadmin/DAM/cefact/single_window/draft_160905.pdf
265
    Unfortunately, information on annual operating costs is not available for Congo.
266
    The latest update of the Congolese Shippers Council cost survey was conducted in April 2022.




138   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                            CHAPTER 6 Logistics and Eco-tourism to Support Diversification




of trade procedures, e.g., for the toll road with road freight bearing a disproportionate cost due to low overall
traffic volumes. The Government could review the existing contracts to determine if they contain exit clauses or
revision clauses that would open the door for lowering costs. Similarly, if the tariffs are not set in the contract,
the Government could explore the possibility for the operator to reduce its fees while ensuring a proper level
of profitability. Finally, the government needs to make sure that the existing contracts are in line with the new
PPP law.


To bring coherence to the multiple IT systems for trade and logistics, the Government could take
advantage of its commitment under the FAL Convention (Convention on Facilitation of International
Maritime Traffic) to unify all of them. 267 Each IT system currently in use for trade and logistics in Congo is
charging fees that are higher than in comparable countries. A deeper analysis is needed to determine their
adequate level. A good starting point would be to take advantage of the mandatory requirement under the FAL
Convention for the establishment of a Maritime Single Window which could provide the opportunity to address
the fragmentation of systems by establishing a unified IT system for trade. Unified systems are in place in
Djibouti and Benin, for example, with the functionalities of a Maritime Single Window, Port Community System,
and Trade Single Windows combined. As part of Congo’s review, fees can be reviewed to ensure that they cover
only the operating costs of the system.




TABLE 10
Detailed Policy Recommendations to Improve the Efficiency of the Logistics System

                                   POLICY OPTIONS                                             RESPONSIBILITY                       PRIORITY


      Bring coherence to the multiple IT systems for trade and logistics


      •	 Review the mutual commitments with the technical
                                                                                          Ministry of Commerce,
         service providers for the IT tools for trade to determine
                                                                                           Customs, Ministry of                  SHORT-TERM
         the options for revising scope and fees applied, with a                          Economy and Finance
         view to reduce the cost for traders.



                                                                                        Port Authority, Maritime
      •	 Conduct a feasibility study for a Maritime Single Window                       Administration, Ministry
         that would encompass the trade functions currently                              of Transport, Ministry
                                                                                                                                MEDIUM-TERM
         provided by multiple systems with a view to combining                          of Commerce, Customs,
         them on a more cost-effective single platform.                                 Ministry of Economy and
                                                                                                 Finance


      Reviewing PPP arrangements to reduce costs and aligning existing contracts with
      the new PPP Law

      •	 Review PPP arrangements of concessions and contracts
         to determine if they contain exit or revision clauses that
         allow revision of contract conditions with the objective of                    Ministry of Economy and
         reducing costs.                                                                                                         SHORT-TERM
                                                                                                 Finance
      •	 Make sure that the existing contracts are in line with the
         new PPP law.




267
      https://www.imo.org/en/OurWork/Facilitation/Pages/FALConvention-Default.aspx




                                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   139
CHAPTER 6 Logistics and Eco-tourism to Support Diversification




6.2 Ecotourism: diagnostic and roadmap
Congo has huge potential for sustainable and poverty-reducing ecotourism. Ecotourism is “a sustainable,
non-invasive form of nature-based tourism that focuses primarily on learning about nature first-hand, and
which is ethically managed to be low impact, non-depleting, and locally oriented”. 268 In comparison with mass
tourism, ecotourism actively aims to reduce poverty and inequality while also conserving a destination’s natural
heritage. If managed well, ecotourism should not only minimize negative impacts on the natural and socio-
cultural environment but also support the long-term sustainability of the natural areas upon which it depends.
“A land of steamy jungles hiding half the world’s lowland gorillas, masses of forest elephants, and hooting,
swinging troops of chimpanzees,” Lonely Planet claims the Republic of Congo is “on the cusp of becoming one
of the finest ecotourism destinations in Africa.” 269


The government’s PND for 2022-2026 identifies over 20 sites for tourism development, but Congo’s vast
biodiversity must be protected as a prerequisite for ecotourism development. The sites with the most
potential for ecotourism development in Congo are four of the country’s 18 Protected Areas (PAs): Odzala-
Kokoua National Park, Nouabalé-Ndoki National Park (NNNP), Conkouati-Douli National Park, and Lesio-Louna
Nature Reserve (Figure 55). Of those identified by the government, Odzala-Kokoua is the most prominent,
with three high-end operational camps operated by the privately-owned tour operator, Congo Conservation
Company. Additionally, Noubalé-Ndoki, Lesio-Louna/Lefini, and Conkouati-Douli have high potential based on
interest from the private sector and marquee fauna such as forest elephants, lowland gorillas, and chimpanzees.
However, Congo’s environmental health and ecosystem vitality, upon which ecotourism development would
depend, is lagging, with Congo ranked 152 out of 180 on Yale’s environmental performance index. Importantly,
the country ranks only 130th for ecosystem vitality despite ranking first in the sub-categories for terrestrial
biomes (both nationally and globally). This is due to rapid habitat loss and inadequate management of natural
resources, among other factors. 270

If well managed, ecotourism can support direct and indirect job creation in Congo and enhance the
economic development of the regions where it operates. If developed with a whole community approach,
ecotourism can ensure equitable community benefits beyond those individuals or enterprises directly involved
in tourism activities. This can be achieved by integrating and expanding the tourism value chain to include
agriculture and other local suppliers, so jobs and benefits are widely shared. Moreover, by increasing the value
of forests and wildlife and offering viable alternative livelihoods, ecotourism development will discourage
activities that degrade these natural heritage resources and instead spur sustainable economic growth.
                                                                                                                                                                      © Erwan Morand/World Bank




268
    (Fennell, 2001) A more basic definition of ecotourism is provided by the UN World Tourism Organization as, “all nature-based forms of tourism in which the main
motivation of the tourists is the observation and appreciation of nature as well as the traditional cultures prevailing in natural areas.”
269
    (Lonely Planet, 2022).
270
    (Yale University, 2020).




140    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                           CHAPTER 6 Logistics and Eco-tourism to Support Diversification




FIGURE 55
Map of Republic of Congo with key protected areas




Source: Map by Edgar Francois Loua, GEMS team. GEMS: Geo-Enabling initiative for Monitoring and Supervision.




                                                    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   141
CHAPTER 6 Logistics and Eco-tourism to Support Diversification




6.2.1 Tourism demand is on the decline, suffering from weak
brand identity

Tourism demand in Congo is relatively low and declining since
its peak in 2013, consisting mostly of business travelers and
friends and family visits. International arrivals to Congo peaked
at 345 thousand in 2013 and declined to 158 thousand in 2018. 271                                                       The biggest task
By comparison, Cameroon, the Democratic Republic of Congo,
and Angola received 997, 351, and 218 thousand arrivals in 2019,
                                                                                                                        of any marketing
respectively. Before the pandemic in 2019, travel and tourism’s                                                         and promotion
contribution to Congo’s national GDP was only 3.4 percent compared                                                      efforts will be to
to a global average of 10.4 percent. The COVID-19 pandemic further
reduced activity in the tourism sector. 272 As of 2019, Congo’s top five
                                                                                                                        differentiate the
international tourist source markets were France (28 percent), the                                                      Republic of Congo
Democratic Republic of Congo (DRC) (13 percent), Cameroon (seven                                                        from the Democratic
percent), Angola (six percent), and Italy (three percent). Overall, in
2018, Africa accounted for 56 percent, Europe 33 percent, Asia
                                                                                                                        Republic of Congo
seven percent, the Americas three percent, and the Middle East one                                                      and build general
percent. 273 Leisure travel accounts for 58 percent, with business travel                                               awareness of the
accounting for the remaining 42 percent of travelers. 274 Government
data provides no further information on travelers’ motivation beyond
                                                                                                                        Republic of Congo
business or leisure. It is likely that a large share of leisure travelers                                               as a destination.
is “visiting friends and relatives” tourists who are less likely to stay
in hotels or take expensive excursions such as those to Odzala and,
therefore, contribute little to tourism sector earnings. 275


With insufficient tourism promotion, the Republic of Congo suffers from weak brand identity and confusion
with neighboring DRC. Without a functioning Office for the Promotion of the Tourism Industry (Office de
Promotion de L’industrie Touristique, OPIT) to actively market Congo as a tourism destination, information
is difficult to find or outdated even for determined tourists or the travel trade. Untapped tourism potential in
Congo partly reflects the absence of a functioning national Destination Management Organization (DMO), let
alone regional or city level DMOs. Compared to most countries, Congo conducts little to no tourist-oriented
marketing and promotion. Congo does not currently participate in major international travel trade shows and
has little engagement with international travel trade or media. As a result, most of the marketing and promotion
efforts are led by the private sector and with minimal consultation or coordination with the government. On
Bloom Consulting’s annual rankings of country brands, Congo is rated as “D” (the lowest) for their Country
Brand Strategy and ranks 46 out of 50 African countries and 195 out of 203 countries globally. 276 Where name
recognition exists, it is often conflated with the Democratic Republic of Congo, a negative association as DRC is
more widely recognized and associated with instability, conflict, and disease. The biggest task of any marketing
and promotion efforts will be to differentiate the Republic of Congo from the Democratic Republic of Congo
and build general awareness of the Republic of Congo as a destination. While lack of financial resources is a
limiting factor, there are low-cost measures that, if implemented, could have positive returns. Finally, Congo
directly competes with countries like Rwanda and Uganda that are more established (e.g., gorilla treks), yet
Congo is more expensive. Congo’s DMO must demonstrate the country’s distinctiveness that justifies the higher
price point while also appealing to travelers’ altruism and ability to directly contribute towards conservation
through their trips.




271
    Year most recent data is available.
272
    While more recent figures are unavailable, it is likely the numbers have only declined further. Across Africa, tourism arrivals declined on average 73 percent year
over year since 2019 and Congo likely mirrored the same trend.
273
    Comprehensive tourism figures were most recently published in 2018. (Ministere du Tourisme et de l’Environnement, Republique du Congo, 2018)
274
    Based on pre-pandemic 2019 figures. (WTTC, 2021)
275
    (Backer, 2007)
276
    (Bloom Consulting, 2022).




142    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                   CHAPTER 6 Logistics and Eco-tourism to Support Diversification




6.2.2 Tourism supply, with difficult and expensive access
and a dearth of skilled staff, could benefit from a different
model of development
Congo has numerous possible ecotourism destinations, including current and potential UNESCO World
Heritage sites, with charismatic wildlife and valuable cultural heritage assets. The most popular itinerary
for international ecotourists at present is flying into Brazzaville, visiting Odzala, and returning to Brazzaville to
leave. However, Congo has a broad range of possible ecotourism destinations including visits to the nation’s
PAs, the Congo River and other waterways, the wild coast and beaches, and nature sites not designated as PAs
such as waterfalls and other natural landscapes. Of the PAs, the Sangha Trinational area that includes NNNP is
designated as a UNESCO World Heritage Site, while Conkouati and Odzala are on UNESCO’s tentative list. 277
Congo’s noteworthy fauna include lowland gorillas, forest elephants, chimpanzees, buffalos, hippos, turtles,
humpback whales, and hundreds of species of birds. Integral to Congo’s natural heritage are its cultural heritage
assets, including indigenous communities, foodways, 278 and artisan handicrafts (such as wood carvings, jewelry,
woven fabrics, and ceramics).


An appropriate model for tourism development in Congo would be similar to South America’s model
for tropical Amazon rainforests rather than the African savanna model. The conventional African safaris
in eastern and southern Africa consist of a very different type of visit compared to the experience of visiting a
dense forest in Congo. Kenya or Tanzania’s sprawling savanna allows tourists to spot fauna from great distances
and appreciate them from afar in their safari vehicles. These open spaces are easily accessible to the average
tourist who can sit and drive across the vast open terrain. In contrast, Congo’s dense forests in sites such as
Odzala or NNNP make encountering Congo’s animals difficult and often require tourists to get out on foot to
explore the distinctive Baïs or forest clearings, hiking the landscape in small groups (because large groups
would risk scaring away the very animals they have come to see). This type of experience is specialized and
requires a different approach. Although ecotourism experiences other than dense forest are available in Congo,
just as there are more than savanna safaris in eastern and southern Africa, Congo’s forest elephant and lowland
gorilla treks are the signature experiences upon which Congo could distinguish itself as a successful destination.




                                                                                                                                                             © Erwan Morand/World Bank




277
      (UNESCO World Heritage Centre)
278
      A foodway is “the eating habits and culinary practices of a people, region, or historical period” according to the Merriam-Webster dictionary.




                                                          Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification    143
CHAPTER 5 Trade Competitiveness and Diversification




                                                                                                                                                                             © Erwan Morand/World Bank




Access to tourism destinations in Congo is difficult and expensive, with both air and land transportation
falling short. There are limited direct international flights from key source markets, 279 and international airlift
capacity and frequency continue to limit tourism sector growth. Business travelers account for almost half of
the market’s share of total travelers, and with the sector catering to this market segment, prices are driven
up. Business travelers’ tolerance for higher prices limits ecotourist demand as they are more price sensitive.
Even for tourists that manage to arrive in Congo, inadequate or non-existent infrastructure makes accessing
the country’s remote and isolated PAs difficult and expensive. Within Congo, there are almost no regularly
scheduled air services apart from flights between the two population centers of Brazzaville and Pointe-Noire.
While some regional airports exist, few have any regularly scheduled air service. To get to most ecotourism
destinations, either expensive private charter flights or prohibitively long land transits via degraded roads are
required. Traveling by land during the rainy season can be even more challenging, if not impossible. Even the
existing lodges in Odzala require numerous transfers, from a plane to a 4x4 to a boat to a canoe and still require
multi-hour treks on foot through swampy forests or across streams before reaching the lodge.


Customs and police staff lack an understanding of the benefits of tourism and harass tourists. Upon
arrival at points of entry, customs agents could be more welcoming and streamline entry procedures. Once in



279
    Brazzaville is serviced by 12 airlines with only one flight to Europe via Paris on Air France. Whereas Pointe-Noire is serviced by 11 airlines with only two routes to
Europe via Paris and Istanbul on Air France and Turkish Airlines, respectively. The rest of the international air links are intra-African with carriers such as Ethiopian,
Rwand-AIR, Royal Air Maroc, Angola’s TAAG, and AIR-IVOIRE. There is also a small number of maritime entries to Pointe-Noire and Brazzaville via the Congo River
from Kinshasa.




144    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                         CHAPTER 5 Trade Competitiveness and Diversification




country, police checkpoints along the roads often cause headaches for tourists and tour operators, increasing
travel times and requiring bribes to be paid despite the national tourism authority’s (NTA) efforts to eliminate
them. Whether through unnecessary checkpoints or negative encounters elsewhere, these officials may create
a negative tourism experience.


The sector lacks adequate educational programs and training to supply qualified human resources
to staff hotels, protected areas, tour operators, restaurants, and other tourism enterprises. The lack of
proper workforce development contributes to high turnover and a poor customer service culture. Apart from
one course in a general business program at Université Marien Ngouabi (Marien Ngouabi University), 280 there are
no tourism specific training centers, let alone specialized training in ecotourism related fields. Currently, senior
staff of hotels with international clientele, including lodges in Odzala, are primarily staffed with international
employees such as South Africans or Europeans. There have been efforts in the past to organize vocational
internships and exchange programs between properties (e.g., from Odzala to the Radisson Blu during the
off-season), but these have not been successful or are no longer functioning programs. The private Congo
Conservation Company recruits professional guides from abroad to work in Odzala, primarily from South Africa,
but aims to use those guides to train local guides over time. In addition to establishing proper training institutes
for the sector, there are opportunities in the short-term to utilize international staff to train up a Congolese
workforce.




6.2.3 Tourism governance, essential to ecotourism growth,
has been unstable, understaffed, outdated, and unable to
provide quality control to the sector
Effective governance and management of ecotourism are essential to foster local community
stewardship. Without strong governance, ecotourism has the potential to undermine intended conservation
goals if local communities do not directly benefit and see improvements to their livelihoods and living conditions.
If locals perceive tourism to benefit only government authorities and private companies, they are less likely to
develop the necessary vested interest in the protection of their natural heritage upon which ecotourism depends.
An emphasis on building local capacity and agency, reducing social and economic inequality, and improving
livelihoods are needed to mitigate possible negative aspects of ecotourism development and incentivize local
community stewardship.


The national tourism authority has been plagued by instability. Since the first NTA was created in 1963,
Congo’s tourism authority has gone through 24 restructurings into various Ministries, often combined with
other sectors such as environment (six times), culture (three times), and industry (three times). Only twice has
it stood alone—from 2007 to 2009 and from 2016 until now. This means that, on average, the NTA has been
reorganized every 2.6 years, nearly half of those times for two years or less. 281 With each change, the tourism
agenda has been effectively reset as new leadership sets out to make their mark, leaving the NTA without
a consistent long-term vision, clear objectives, or intermediate indicators upon which to measure progress
towards its goals, severely limiting the tourism authority’s ability to manage the sector effectively.


There are insufficient financial and human resources in Congo’s public sector to manage and coordinate
tourism. In large part, the Congolese government correctly identifies the major challenges for growing tourism
and, in many instances, proposes appropriate solutions that would have positive impacts on the sector, as
demonstrated in the government’s 2017 Sustainable Tourism Development Plan. However, there is a persistent
disconnect between drafting national plans and strategies and taking action. The government is hamstrung
by small budgets and stretched thin by too few staff to manage the sector. If given adequate resources (both
financial and advisory), Congo may finally be able to address the persistent challenges and implement the plans
they have long proposed and that are articulated in the recent PND.



280
      (Umng.cg, n.d.)
281
      (Ministere du Tourisme et des Loisirs, Republique du Congo, 2017)




                                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   145
CHAPTER 5 Trade Competitiveness and Diversification




Legislation and regulations governing the tourism sector should be updated to reflect current national
priorities, in particular the easing of visa requirements. The NTA is in the final stages of launching a hotel
classification system to formalize the accommodations industry; yet there is no equivalent regulation of other
travel businesses. While there are some efforts to streamline business registration and licensing through a
One-Stop-Shop for Tourism (Guichet Unique du Tourisme, GUT), 282 this organization needs to be carefully
monitored so as not to create opportunities for corruption and structured in a way that encourages efficiency
and transparency. Visa policies need to be reformed as they create unnecessary burdens for the travel trade
and individual travelers, which stifle the overall growth of the sector. Industry best practices show that relaxing
or eliminating entry visa requirements boosts tourism demand. 283 Simply, the more welcoming a country’s visa
policies, the more tourists they are likely to receive. Other African countries that opened their borders saw 20
percent increases in arrivals year over year on average. 284 Congo should endeavor to reduce the number of
countries that require tourist visas altogether, move away from paper visas and visas on-arrival, and abolish the
invitation letter requirement completely. Visa requirements for citizens from Congo’s key source markets should
be unilaterally eliminated while offering a nominal-fee e-visa to other countries as appropriate.


Until recently, there has been a lack of oversight in the design and construction of tourism facilities
and infrastructure. Regulations need to be updated and enforced to ensure any new construction is of high
quality, able to withstand Congo’s humid climate, and well designed. With the exception of Congo Conservation
Company lodges in Odzala, other facilities, such as those in Lesio-Louna and Lefini, are not well designed
to meet the high expectations of the discerning ecotourists Congo hopes to attract. Along with the GUT,
the NTA recently established the Congolese Society of Tourism Engineering (Société Congolaise d’Ingénierie
du Tourisme), which will be responsible for overseeing and building tourism facilities and infrastructure. It is
imperative that they follow high standards of quality and design. When considering construction in the PAs’
delicate environments, sustainability must also be considered or risk destroying the very assets upon which the
industry is built.




6.2.4 Roadmap for Congo’s tourism sector development
demands broad improvements to deliver on ecotourism’s
promise
Policies that safeguard Congo’s natural heritage and improve tourism governance and its enabling
environment are key to unlocking the country’s enormous ecotourism potential. First and foremost, for
Congo to both conserve the environment and sustain the well-being of the local people, the natural heritage
upon which ecotourism depends must be safeguarded and sustained, including by avoiding biodiversity loss
and forest degradation. In order to develop ecotourism, the sector requires strong tourism governance that
allows the private sector to innovate and thrive. Not only must the Ministry of Tourism and Leisure (Ministère du
Tourisme et des Loisirs, MTL) act as a steady leader, but it also must bring together the various public, private,
and donor stakeholders to unite around a common vision and collaborate to address shared challenges based
on a data-driven strategy. Finally, other factors that impede both private sector and civil society partners from
operating efficiently should be tackled, including access to infrastructure and services, a low-skilled workforce,
and an onerous business environment (e.g., burdensome taxes and fees, corruption and inconsistent application
of laws). Congo also needs to build a brand identity and foster media exposure to increase tourism demand.
While these may seem like significant challenges, there is a path forward and enormous potential should these
challenges be overcome (see Table 11 for detailed policy recommendations). An excellent place to start is
learning from the ecotourism success story in Costa Rica where the creation of payments for environmental
services, large areas set aside for protection, strong tourism sector governance, and balancing of types of land
use together shaped Costa Rica into a top ecotourism destination (see Box 13).




282
    (Ministère de l’Environnement, du Développement Durable et du Bassin du Congo, 2020)
283
    Globally, visa-free entry increases demand 16.6 percent, new types of visas result in an 8.1 percent increase, and implementing best practices only 4.3 percent.
(WTTC, 2019).
284
    (Visa, 2020).




146    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                           CHAPTER 6 Logistics and Eco-tourism to Support Diversification




   BOX 13


      A country peer case of successful development of
      ecotourism - Costa Rica
Source: WDI and HCI (2020)
      Costa Rica’s large and mature ecotourism industry has earned it a reputation as a top
      ecotourism destination in the world. Costa Rica has built a world renowned “Green Trademark,”
      centered on conservation, reforestation, and protected areas.

      Several measures helped Costa Rica earn its Green Trademark:

      •	 Green framework and payments for environmental services: Payment for environmental
         services (PES) was formally established in 1995 through its Forest Law, making the costs of
         reforestation tax deductible and establishing fiscal incentives that rewarded landowners for
         reforestation as well as establishing a National Fund for Forestry Financing (FONAFIFO) to
         manage the PES. Subsequently, FONAFIFO’s share of fuel tax revenues was fixed at 3.5 percent,
         guaranteed through the national budget. In addition, a decree introduced a mandatory payment
         for ecosystem services by allocating 25 percent of water tariffs to the PES program.

      •	 National parks and protected areas: Costa Rica has set aside 26 percent of its land area for
         protected areas. The National System of Conservation Areas (SINAC), an agency of the Ministry
         of Environment, Energy and Telecommunications, was introduced in 1994 to organize the country
         into 11 large conservation areas, most of which are based around a major national park, to avoid
         protected areas becoming isolated “green islands” in an otherwise improperly managed landscape.
         SINAC is responsible for directly administering Costa Rica’s protected areas and for formulating
         policies and the planning and execution of processes that promote conservation and sustainable
         natural resource management, including forests, across the entire country. SINAC works in close
         collaboration with FONAFIFO, various forestry organizations, independent forest regents and
         forestry engineers, and oversees over 160 protected areas, of which 26 are designated national
         parks.

      •	 Tourism sector governance: Costa Rica’s tourism sector is well organized, with strong public-
         private collaboration. The private sector is organized around the Chamber of Hotels, representing
         large and small hotels, and the National Chamber of Tourism, for other tourism-related businesses.
         The Costa Rica Institute for Tourism (CR-ICT) is the autonomous public institution in charge of
         setting tourism policy, with a good balance of political appointees and representatives of the
         industry on its board of directors. Over time CR-ICT has adopted the role of promoter of private
         sector tourism development and administrator of tourism development incentives.

      •	 Balancing forest conservation and other land uses: Maintaining healthy forest ecosystems
         while promoting sustainable agricultural growth is fundamental to the country’s development
         strategy and to its efforts to improve livelihoods in rural areas. To harmonize and jointly leverage
         its agricultural and environmental goals, the Government formulated an “Agro-environmental
         Agenda” among its Ministry of Agriculture and Ministry of Environment and Energy which aims
         to improve the efficiency of food systems as well as meet global commitments related to climate
         change (in particular, reducing emission from livestock while maintaining negative emissions from
         forestry).

      Costa Rica’s investments in nature and environmental protection have paid off. Costa Rica is
      the first tropical country in the world to have reversed deforestation, increasing the area covered
      by forests from 26 percent in 1983 to over half of the country today. It ranks fourth in the 2021 Latin
      American Region Travel and Tourism Competitive Index of the World Economic Forum. The country,
      which has a population of 5.1 million, attracted 3.1 million visitors in 2019. In a survey carried out by
      the government in 2017-2019, 65 percent of visitors revealed that eco-tourism is the reason they
      chose Costa Rica. The tourism industry is one of the country’s main sources of foreign exchange, and
      in 2019, its share in GDP was 4.8 percent while contributing 19 percent of total exports.


      Sources: Brown and Bird (2010), Bennet and Henniger (2009), Oviedo, et. al. (2015), Raul, Cole, and Shutterstock (2022), Rodriguez and Zunega
      (2003), World Economic Forum (2022), Wallbott et. al. (2019), WorldWatch Institute (2015), Costa Rican Tourism Board.




                                                    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification         147
CHAPTER 5 Trade Competitiveness and Diversification




Congo must urgently protect the natural environment upon which the eventual success of ecotourism
depends. Key to protecting these natural assets is halting and reversing biodiversity loss, deforestation,
and forest degradation that directly or indirectly deplete the very wildlife that ecotourists want to see.
Unsustainable hunting for bushmeat, poaching, and fisheries overexploitation must be addressed, including by
combating wildlife trafficking beyond PAs and buffer zones and reducing human-wildlife conflict. Deforestation
linked to industrial commercial forestry (e.g., palm oil farming or unsustainable logging) can be addressed by
requiring certification from the Forest Stewardship Council. Efforts must be accompanied by robust monitoring,
strong community engagement in identifying and mitigating threats, and enforcement of laws. Ultimately,
by demonstrating the economic value from safeguarding ecosystems and wildlife, ecotourism can engender
community support for safeguarding natural assets.


Tourism governance must be strengthened by securing effective leadership and sufficient resources to
implement recommendations. Experienced and stable leadership for MTL is a prerequisite to a successful
tourism sector. MTL needs to unite all stakeholders around a common, long-term vision to break free from the
history of restructurings and inconsistent strategies for tourism development. Further, MTL needs sufficient
resources, both financial and human.


The role of the Supreme Tourism Council (Conseil Suprême du Tourisme,
CST) should be reformed and strengthened. Restructure the CST to be more
action oriented and a forum that convenes the private sector at the national                                                    The natural
level to advise and advocate their interests with the central government’s                                                      heritage upon
public institutions, including but not limited to the MTL. This advisory
board to the MTL should be comprised of travel sector representatives
                                                                                                                                which ecotourism
(e.g., accommodations, transportation, travel trade, guides, activities and                                                     depends must
attractions, PA authorities, retail and artisans, restaurants) and meet regularly                                               be safeguarded
to discuss current challenges and strategy. Thematic working groups within
the CST should meet regularly on assigned topics and be accountable for
                                                                                                                                and sustained,
realizing results. In addition to a direct line of communication with MTL, it                                                   including
would also facilitate working with other public institutions. 285 MTL can then                                                  by avoiding
act as the lead public agency to relay specific requests for support, advocate
on behalf of private sector interests, and collaborate with other public sector
                                                                                                                                biodiversity
partners to optimize travel sector performance. By reorienting the CST away                                                     loss and forest
from an annual presentation of industry results and towards accountable,                                                        degradation.
outcome-driven working groups, the CST will help sector stakeholders discuss
and implement solutions that address the sector’s many challenges.


Coordinating with the private sector to address shared challenges. A country-level travel association
is needed to complement the CST and provide the private sector with a forum to collaborate and have a
shared voice to address government institutions. Options include creating a new organization or expanding the
scope of an existing association (such as the hotel association or even UniCongo, the employers’ federation)
to encompass the entire travel sector (with a preference for utilizing existing structures rather than founding a
new entity).


Engaging donors for strategic alignment. Actively convene and coordinate donor efforts in the travel sector
to leverage strengths and avoid inefficiencies. Suggest holding bi-monthly or at least quarterly meetings with
representatives of relevant multilateral and bilateral donor agencies to allow the MTL to direct activities and
ensure alignment with Congo’s tourism strategy and coordination amongst partners. Combined with the CST,
these meetings should ensure full transparency and that planned actions match the needs of the travel sector.


Conducting research on supply and demand. Strong data collection and analysis lead to better decision-
making. MTL should strengthen data collection and surveys in the sector. These should cover the three areas



285
   The primary institutions include the Ministry of Forest Economy (concessions), Ministry of Environment and Sustainable Development (environmental impact
assessments and regional linkages), Ministry of Transport (aviation, regional links, and road accessibility), Ministry of Interior (visa policy and access), Ministry of
Economy (investment and access to finance), Ministry of Finance (taxation) and Ministry of Labor (workforce development). Others could include the government
authorities for urbanization, public works, education, arts and culture, and agriculture.




148    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                            CHAPTER 6 Logistics and Eco-tourism to Support Diversification




                                                                                                                                        © Erwan Morand/World Bank
of demand, supply, and residents. Currently, many decisions within the travel sector are made based on past
anecdotal experience and could be better informed by research and evidence on who comes to Congo and
why. The only regularly collected data are entry surveys on arriving international flights and at the Yoro Port
in Brazzaville for boats arriving from Kinshasa, DRC. There is no systematic collection of statistics at tourism
sites nor are there any exit surveys. A few PAs managers (Odzala, NNNP, Lesio Louna, Conkouati) collect
some data, but these are not aggregated up to the NTA and risk double counting. It is impossible to estimate
tourism spending, determine where tourists go, duration, and develop informed marketing and promotion
strategies without sufficient data. For marketing purposes, more information is needed to create traveler
personas, including both demographic and psychographic profiles. MTL should also regularly survey local travel
businesses to gauge sentiment and identify challenges. By monitoring and maintaining regular communication
with the private sector, MTL can identify opportunities to innovate and diversify tourism services across the
sector. Results from these surveys will inform and serve as justification for other initiatives, such as those
developed in consultation with the CST.


Access to Congo’s ecotourism sites and services can be improved by strengthening enabling
infrastructure and related services. Air routes from key international source markets should be expanded.
Prioritization of which markets to pursue should be data driven and correspond to the selected markets
identified through research. Domestically, air and road access to priority PAs and sites need to be improved.
The Government should pursue building and maintaining roads to ensure travelers can easily get to flagship
attractions and sites within the country. Short-term priorities include access between Brazzaville and Lesio-
Louna/Lefini, and between Pointe-Noire and Conkouati, as well as air access infrastructure to gateways
communities of other flagship PAs (Odzala and NNNP). Further, approvals for infrastructure such as roads or
airstrips within PAs are not efficiently evaluated nor approved in a timely manner, which impedes development.
Measures should be implemented to address risks associated with building roads and the high potential for
negative impacts on the adjacent natural ecosystems. Additionally, maintenance plans must be in place to
prevent the destruction and degradation of sites once access is improved or created.




                                      Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   149
CHAPTER 6 Logistics and Eco-tourism to Support Diversification




                                                                                                                                                               © Erwan Morand/World Bank
Collaborating with the private sector to train the next generation workforce. Collaboration with public
education institutions and private training centers can be established to train a qualified workforce needed to
realize the PND’s ambitious goals. This includes educational institutions to train hospitality workers for hotels
and restaurants, culinary programs, professional nature guides, protected area management and operational
personnel, and other human resources across the sector. Target market language skills are also needed.
Institutions should establish partnerships with the private sector to source trainers from their internationally
experienced staff to teach programs and develop curricula. From conversations with private sector stakeholders
with pools of international staff, there is a general openness to this concept with some suggesting that they
could easily find volunteers to lead training courses if they were organized. With these same private sector
partners, internship and exchange programs both domestically and regionally in Africa could be established to
expose participants to best practices. 286

Building awareness and stimulating demand. The MTL should support the creation of DMOs, both nationally
(through the proposed OPIT) and decentralized DMOs of flagship destinations and PAs. In the short-term,
the OPIT as a national-level DMO is the priority. This includes a comprehensive website with all necessary
information on key destinations, including sub-pages for respective PAs. Additionally, the DMO needs to better
facilitate connections with the international travel trade to reach target markets. The biggest task will be to
generate awareness of Congo as a destination, including by distinguishing Congo from the DRC. Travelers’
preferences have changed due to the pandemic, with higher demand for outdoor, nature-based, or active/
adventure experiences; responsible travel that positively impacts host communities; health, wellness, and
personal growth; private accommodations and intimate, small group or private experiences. 287 These trends
are likely to continue and position Congo competitively. With these emerging traveler preferences in mind, the
OPIT should create messaging for all stages of the traveler’s journey: inspiration, planning, booking, scheduling,
traveling, experiencing, sharing, dreaming/reflecting. In the short-term, planning, booking, and traveling
are important for domestic audiences, while inspiration and planning stages matter most for international
markets. Beyond building brand consumer awareness, there is a need for awareness building among the general
population about the value of Congo’s natural heritage and their duty as citizens to care for it. Using a public
campaign to demonstrate what exists around the country, the first goal of preserving it will be that much easier.


Establishing media relationships and pursuing new exposure in both consumer and travel trade
publications. Invite media journalists and independent influencers on familiarization tours to experience
trips to flagship PAs, as well as other distinctive attractions and experiences to generate greater awareness
and publicity among target audiences. In addition to attending trade shows, support matchmaking between
local receptive tour operators and international outbound tour operators with a travel trade portal on OPIT’s


286
    For instance, a program could organize sending nature guides to other successfully protected areas in Gabon or Rwanda or establish training programs for
hospitality workers from remote areas to train in larger hotels in Pointe-Noire or Brazzaville.
287
    (ATTA, 2021); (TravelPulse, 2021)




150   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                CHAPTER 6 Logistics and Eco-tourism to Support Diversification




website. Beyond in person-activities and recognizing still existing travel restrictions in the short-term and
budgetary limitations overall, OPIT should host thematic and/or geographically targeted destination webinars
that highlight ecotourism products or itineraries for the international travel trade. 288


Improving the business environment. The Government should update legal frameworks and apply and enforce
existing laws and regulations. This includes supporting entrepreneurship and investment by streamlining
business licensing (such as through the GUT) and removing unnecessary bureaucratic steps to create and
operate a tourism enterprise. Legislation should govern all facets of the sector, including tour operators and
DMOs that are currently in limbo without specific regulations. To complement these reforms, there should be
measures to prioritize access to finance and bankability for SMEs to start businesses and upgrade operations,
such as green retrofitting aging hotels or purchasing vehicles to run tours. The Government should also
evaluate outdated operational burdens and simplify procedures, such as requiring tour operators to provide
passenger lists to authorities before traveling. In addition to removing red tape and other bureaucratic hurdles,
an Enterprise Incubator to foster innovation and entrepreneurship in priority areas could be established. The
incubator would provide access to business advisors on operations and travel sector advice, expedited and
simplified registration, access to finance, and other complementary services and training.


Reforming tax and fee policies. Authorities should explore recalibrating taxes and fees in the sector. There
is a tourism-related tax of ten percent levied on room nights per person. Hotels in Brazzaville effectively pay
31 percent in taxes (ten percent hotel tax, 18 percent value added tax, and two percent city tax), in addition to
employment-related taxes and income taxes. The private sector cites high taxes in Congo as a primary inhibitor
to the development of the tourism sector as it raises costs beyond comparable tourism offerings elsewhere. A
heavy tax burden stifles investment, hiring, and entrepreneurship while also pushing some businesses to avoid
regulations altogether.


Increasing transparency and reducing opportunities for corruption. Management structures (such as
public-private partnerships) should be accountable, transparent, and free from political interference. Protocols
and procedures should be in place to ensure efficient and transparent functioning of the sector and to limit
opportunities for corruption. For instance, reform should increase the transparency of awarding concessions to
operate national parks, collecting entry fees, issuing business licenses, etc. Trainings should be organized for
customs officers and police to better understand the needs of tourists and how to interact without unnecessarily
harassing them.


Assessing concession policies to maximize community and conservation benefits. As a broad offering
of tourism services should be available to satisfy potential demand, sufficient competition and access for tour
operators should be ensured. Indeed, too much control in the hands of a single company could stifle innovation
and destination competitiveness. To that end, PA management partners (international non-governmental
organizations Africa Parks Network, Wildlife Conservation Society, and Noé) should be empowered to collaborate
in day-to-day oversight of concessions. Other models of concession management should be considered,
including community managed concessions such as those established in Namibia. New concessions should
be awarded based on their potential for tourism development (including access, attractiveness, community
benefit, conservation priorities, etc.). Appropriate mechanisms to measure performance against concession
agreements should be implemented, including means to course correct as warranted and needed.


Strengthening the tourism supply chain. The Government should conduct a gap analysis of the current supply-
chain and, in consultation with the needs of the private sector, identify priority areas to support. Using a place-
based model for destination development, cultivate national and hyper-local supply-chains to create greater
resilience for domestic supply and production. To support the local economy and reduce long-term reliance on
imports, a program to support linkages with local entrepreneurs should be put in place. This will create shared
value and enhance the overall competitiveness of the destination by reducing costs while advancing social and
economic conditions to benefit host communities.


288
   This will help increase Congo’s exposure with other international operators that they either were not able to meet during the shows or operators who do not
attend these shows. Even once travel fully resumes, these webinars require little financial investment and would continue to supplement outreach and sales
efforts, living on the travel trade section of the website as an additional planning resource. On a regional level, Congo should seek opportunities in neighboring
destinations, such as Gabon, Cameroon, and the Central African Republic, to collaborate and develop multi-destination itineraries that will mutually benefit each
country.




                                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification              151
CHAPTER 6 Logistics and Eco-tourism to Support Diversification




TABLE 11
Detailed Policy Recommendations to Deliver on Ecotourism’s Promise

                              POLICY OPTIONS                                              RESPONSIBILITY          PRIORITY


  Safeguard natural heritage assets, which serve as the foundation for ecotourism
  development

  •	 Consider implementing programs that address demand                               ACFAP, Ministry of
     for bushmeat and illegal hunting and support alternative                    Environment and Sustainable    SHORT-TERM
     protein production.                                                                Development


                                                                                  Ministry of Forest Economy,
  •	 Ensure wildlife protection authorities have sufficient
                                                                                       ACFAP, Ministry of
     resources and a clear mandate to stop poaching, illegal                                                    SHORT-TERM
                                                                                 Environment and Sustainable
     hunting, and wildlife trafficking in PAs and buffer zones.
                                                                                         Development


  •	 Regulate and limit industrial commercial forestry that
                                                                                  Ministry of Forest Economy,
     contributes to deforestation in or adjacent to PAs and                                                     SHORT-TERM
                                                                                             ACFAP
     degrades or reduces natural habitats.



  •	 Engage with communities in and around PAs to mitigate                       Ministry of Environment and
     threats, reduce instances of human-wildlife conflict, and                    Sustainable Development,      MEDIUM-TERM
     empower them to co-implement solutions.                                                ACFAP


  Improve tourism governance

  •	 Ensure stable leadership of the MTL and create a
     long-term vision for the sector that reduces the risk of                                     MTL           SHORT-TERM
     inconsistent strategies for tourism development.


  •	 Allocate sufficient financial and human resources to
     public sector institutions implicated in the success of
     the tourism sector, including hiring sufficient, qualified                                   MTL           SHORT-TERM
     human resources at the MTL to manage the sector’s
     development.



  •	 Restructure the CST to be more action oriented.                                              MTL           SHORT-TERM




  •	 Support the creation of a country-level travel association
     to provide the private sector a forum to collaborate and                                     MTL           MEDIUM-TERM
     have a shared voice to address government institutions.



  •	 Actively convene and coordinate donor efforts in the
     travel sector to ensure strategic alignment, leverage                                        MTL           SHORT-TERM
     strengths, and avoid inefficiencies.


  •	 Conduct research on supply and demand to ensure
     decision-making is data driven with informed analysis,
                                                                                                  MTL           SHORT-TERM
     including strengthening data collection and surveys in
     the sector.




152   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                               CHAPTER 6 Logistics and Eco-tourism to Support Diversification




                        POLICY OPTIONS                                           RESPONSIBILITY                       PRIORITY


Strengthen the enabling environment


•	 Strengthen international air linkages by increasing air
                                                                          MTL, Ministry of Transport               MEDIUM-TERM
   routes from key international source markets.



                                                                          MTL, Ministry of Transport,
•	 Improve domestic air and road access to priority PAs and                   ACFAP, Ministry of
                                                                                                                    SHORT-TERM
   sites by building and maintaining roads.                              Environment and Sustainable
                                                                                Development


•	 Consider collaborating with the private sector to train
   the next generation workforce by fostering partnerships
   to source trainers from their internationally experienced                 MTL, Ministry of Labor                 SHORT-TERM
   staff to  teach programs, develop curricula, and create
   internship and exchange programs.



•	 Establish public education institutions and support
                                                                             MTL, Ministry of Labor                MEDIUM-TERM
   private training centers.



•	 Ensure the national OPIT is fully operational to act as the
   national DMO to build awareness and stimulate demand
                                                                                        MTL                         SHORT-TERM
   through a comprehensive website, connections with
   travel trade and media, and active promotion efforts.



•	 Consider inviting travel trade and media on familiarization
                                                                                        MTL                         SHORT-TERM
   tours of flagship destinations and PAs.



•	 Consider updating legal frameworks, applying and                        MTL, Ministry of Economy
   enforce existing laws and regulations, increasing
                                                                          and Finance, Ministry of the             MEDIUM-TERM
   transparency (including of awarding concessions), and
                                                                                   Interior
   creating an Enterprise Incubator.



•	 Consider reforming tax and fee policies to be less                      Ministry of Economy and
                                                                                                                   MEDIUM-TERM
   burdensome for the sector.                                                    Finance, MTL




•	 Facilitate visa procedures.                                            Ministry of the Interior, MTL             SHORT-TERM




                                                                               MTL, Ministry of
•	 Consider conducting a gap analysis of the current supply-
                                                                         Environment and Sustainable               MEDIUM-TERM
   chain.
                                                                                Development




                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   153
             Annex




154   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                                             Annex




Annex 1.
Implementation of a State Aid Framework
Related to Chapter 3: Boosting Productivity through Competition



Moldova adopted a state aid control law in 2012 that includes ex ante approval and monitoring of
any state aid by the Moldovan competition authority. 289 The purpose of the law is to maintain a “regular
competitive environment.” 290 It seeks to avoid market distortions brought about by competitive advantages
conferred to some players in a market, but not all. It recognizes, however, various state interests in providing
state aid, and seeks to ensure that those interests are weighed against possible market distortions in deciding
whether to approve state aid.


State aid is not limited to direct subsidies. State aid is defined to be a transfer of public resources that gives
an economic advantage to its recipient, that is given on a selective basis (not to all players in a market), and that
distorts—or is likely to distort—competition. 291 State aid can be in the form of direct subsidies but can also be in
indirect forms such as preferential loans, forgiveness of debt, or discounts. 292

With limited exceptions,293 all state aid must be approved ex ante by the national competition authority.
State aid can be approved if it serves remediation of a severe economic disturbance, professional training,
support of SMEs, support of Research & Development, environmental protection, services of “general economic
interest,” rescue of beneficiaries in difficulty, support for female entrepreneurs, sectoral aid, and regional
development aid. 294


The criteria for the national competition authority’s decisions are explicit, and the law attempts to
provide transparency in the decision-making process. Detailed regulations exist for each category of
recognized state interest, and each includes a customized application form. As an example of the level of
detail, one provision of the regulation on state aid to support SMEs, provides that state aid for the purpose
of participating in trade fairs can cover only costs of hiring outside consultants, and only 50 percent of those
costs. 295 Transparency is afforded by a requirement to publish opinions and an annual report. 296




289
     Moldovan Law on State Aid, Law no. 139 (Jun. 15, 2012). This law and associated regulations can be found at https://www.competition.md/tabview.
php?l=en&idc=36&t=/Official-documents/State-aid.
290
    Id. at art. 1.
291
    Id. at art. 3.
292
    Id. at art. 6; Moldova: A Guide for the Design and Identification of State Aid Instruments to Minimize Competition Distortions, WBG, ¶ 6(a), available at https://
www.competition.md/public/files/Ghid-Ajutor-de-stat-Engleza13534.pdf.
293
    Exceptions are provided for aid granted to consumers without regard to the supplier of the goods or services purchased, for responses to “natural disasters and
exceptional situations,” and for de minimis aid (less than 2 million MDL, which is about US$100,000). Moldovan Law on State Aid, arts. 4, 8(1).
294
    Id. at art. 5.
295
    Regulation on state aid granted to small and medium-sized enterprises (2013), § 4.
296
    Moldovan Law on State Aid, art. 41.




                                                        Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                155
Annex




Annex 2.
Government Presence in Network Industries
Related to Chapter 3: Boosting Productivity through Competition




  National, state or provincial                               Yes          No          Government's share                    Market share of the
  governments hold equity stakes in                                                    in the largest firm in              largest company in the
  the largest firm in the sector                                                            the sector                              sector

  Electricity

  Electricity generation                                                                         80% 297                     Greater than 50% 298

  Electricity transmission                                                                        100%                         Greater than 90%

  Electricity distribution                                                                        100%                         Greater than 90%

  Telecom

  Fixed-line network                                                                              100%                         Greater than 90%

  Fixed-line services                                                                             100%                       Greater than 50% 299

  Mobile services                                                                                  n/a                       Greater than 50% 300

  Gas

  Gas generation                                                                                  100%                     Between 50% and 90%

  Gas transmission                                                                                100%                     Between 50% and 90%

  Gas distribution                                                                                 n/a                     Between 50% and 90%

  Water

  Water supply                                                                                    100%                         Greater than 90%

Source: 2022 Survey for Congo (following the OECD PMR template – selected questions)




297
    Centrale Electrique du Congo (CEC) is owned by the government of Congo (80 percent) and the corporation ENI (20 percent). See CEC Pointe-Noire Power
Plant, Republic of the Congo, Power Technology (Jan. 11, 2022), https://www.power-technology.com/marketdata/centrale-electrique-du-congo-cec-pointe-noire-
power-plant-republic-of-the-congo/.
298
    CEC produces 60-70 percent of Congo’s electricity. The Integrated energy access project in Congo, ENI website, https://www.eni.com/en-IT/operations/congo-
energy-access-project.html.
299
    Congo Telecom has a monopoly on fixed voice lines, but (according to Telegeography) has only a 50 percent share in the fixed broadband market. Teleogeography
Congo Report, Telegeography (Apr. 2022), p. 27.
300
    Based on revenue shares in mobile, mobile money, and mobile internet for 2021, MTN has 68.8 percent of the combined market. Data from Rapport 2021 du
marché de l’internet mobile, ARPCE; Rapport 2021 du marché de la téléphonie mobile, ARPCE ; La Grand’Actu du Régulateur (Newsletter), ARPCE (Dec. 2021) (for
mobile money data), available at https://www.arpce.cg/rapports; https://www.arpce.cg/bulletins-mensuels.




156    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                               Annex




Annex 3.
Framework for the Competition Analysis of
Electricity Sectors
Related to Chapter 3: Boosting Productivity through Competition



The electricity sector value chain can be broadly broken-down into: (i) generation, import and
wholesale, (ii) trading; (iii) transmission, (iv) distribution and (v) retail. Across this value chain, we can
typically find a series of bottlenecks that are likely to produce anticompetitive outcomes. These may include:


•	 Generation level:
   »	 Lack of balanced generation portfolio comprising baseload and peak assets;
   »	 Presence of SOEs in contestable market segments such as electricity generation;
   »	 Unduly burdensome licensing or concession regime to enter contestable market segments such as
      generation.


•	 Trading level:
   »	 Lack of liquidity in the trading market;
   »	 Lack of clarity on the legal/regulatory framework regarding long term power purchase agreements.


•	 Transmission and distribution levels:
   »	 Low levels of interconnection;
   »	 Regulatory framework that does not encourage investment in transmission and distribution infrastructure;
   »	 Ineffective third-party access rules that facilitate access to essential infrastructure and assets by non-
      vertically integrated operators;
   »	 Ineffective integration of decentralized energy sources into the energy grid.


•	 Retail level:
   »	 Ineffective regulatory framework to ensure consumers can easily change suppliers;
   »	 Price regulation that does not adequately target vulnerable consumers.


•	 Bottlenecks covering the entire value chain:
   »	 Lack of competitive neutrality to the detriment of private sector operators;
   »	 Lack of adequate definition of universal and public service obligations, which may result in the cross-
      subsidization of commercially-viable market segments;
   »	 Vertical integration covering natural monopoly and contestable and competitive market segments;
   »	 Ineffective enforcement of ex post and ex ante (merger control) competition rules that can tackle abuse
      of dominance and anticompetitive agreements, and prevent the creation of market structures that
      substantially lessen competition in the market.




                                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   157
Annex




Annex 4.
Framework for the Competition Analysis of
Mobile Telecommunication Sectors
Related to Chapter 5: Trade Competitiveness and Diversification



The mobile telecommunications value chain can be broken-down into: (i) upstream wholesale,
comprising international connectivity and backbone, (ii) downstream wholesale, including backhaul
and the last mile; and (iii) retail levels. Across this value chain, we can typically find a series of bottlenecks
that are likely to produce anticompetitive outcomes:


•	 Upstream wholesale level:
      »	 Exclusivity rights in the purchase capacity from international cables;
      »	 Lack of effective enforcement of access conditions to backbone network.


•	 Downstream wholesale and retail levels:
      »	 Absence of market mechanisms in spectrum management, including auctions and secondary market
         trading;
      »	 Mobile termination rates ineffectively regulated;
      »	 Absence of framework for market entry by mobile virtual network operators;
      »	 Unduly burdensome licensing procedure for activities that do not rely upon scarce resources (e.g., ISPs).


•	 Bottlenecks covering the entire value chain:
      »	 Lack of competitive neutrality to the detriment of private sector operators;
      »	 Lack of adequate definition of universal and public service obligations, which may result in the cross-
         subsidization of commercially-viable market segments;
      »	 Overly high licenses and authorizations fees that discourage market entry;
      »	 Ineffective enforcement of ex post and ex ante (merger control) competition rules that can tackle abuse
         of dominance and anticompetitive agreements, and prevent the creation of market structures that
         substantially lessen competition in the market;
      »	 SOE presence in contestable and competitive market segments.




158     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                                                                                                                         Annex




Annex 5.
Additional Figures and Tables
Related to Chapter 5: Trade Competitiveness and Diversification



 FIGURE A1
Merchandise and service trade openness 2007 and 2019
a. Merchandise                                                                                                             b. Services

                                   Average 2005-2007                                         Average 2017-2019                                           Average 2005-2007                                           Average 2014-2016
                   400




                                                                                400
                   300




                                                                                300
Trade to GDP (%)




                                                             Trade to GDP (%)




                                                                                                                           Trade to GDP (%)




                                                                                                                                                                                       Trade to GDP (%)
                   200




                                                                                200




                                                                                                                                              100




                                                                                                                                                                                                          100
                   100




                                                                                100




                                  CONGO
                                                                                             CONGO
                                                                                                                                              50




                                                                                                                                                                                                          50
                                                                                                                                                          CONGO
                                                                                                                                                                                                                            CONGO
                                                                                                                                              0




                                                                                                                                                                                                          0
                   0




                                                                                0




                         6              8     10        12                            6          8        10         12                             7     8       9    10    11   12                             7      8      9    10   11    12

                             Log GDP per Capita (PPP)                                     Log GDP per Capita (PPP)                                  Log GDP per Capita (PPP)                                     Log GDP per Capita (PPP)



Source: WB staff calculations using data from World Development Indicators. Trade openness is the ratio of the sum of exports and imports (trade) over GDP.
Each dot represents a country. The curve shows the average of trade openness for a given per capita income. The grey band represents the 95 percent confidence
interval.




 FIGURE A2
Imports of services

                   12,000


                   10,000


                    8,000
Million USD




                    6,000


                    4,000


                    2,000


                             0
                                 2005       2006        2007                              2008       2009        2010     2011                          2012          2013        2014                          2015           2016       2017

                                            Travel                                                   Transport                                Insurance and pension                                             Other services
                                            Other business                                           Cultural                                 Commercial                                                        ICT




                                                                                                 Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                                                    159
 Annex




  FIGURE A3
 Deviations from the CET by country and HS2 chapter, 2015

                                                  CAR                                           Cameroon                                                                         Chad
                          10



                           5



                          0
CET deviations, percent




                          -5

                                0                  50                 100     0                      50                                 100           0                            50                               100


                                                 Congo                                            Gabon
                          10



                          5



                          0



                          -5

                                0                  50                 100     0                      50                                 100

                                                                                                    HS2


 Source: Estimates based on TRAINS and CEMAC tariff schedule.




  FIGURE A4
 Landscape of Congo’s food imports, 2020

                  Meat and edible                                                 Aquatic                                   Edible                    Cereals
                                                                                                                            Animal
                  meat offal                                                      Animals                                   By-
                                                                                                                            Products




                                                                                                                              3.92%                                         13.9%
                                                                                                                           Other Animal              Products of the milling     Vegetables and      Coffee, tea, mate
                                                                                                                           Products                  industry; malt, starches,   certain roots and
                                                                                                                                                                                                     and spices


                                             23%                                          12.6%                               1.18%
                                                                                                                                                     inulin, wheat gluten        tubers; edible         0.61%

                                                                                                                                                          1.97%                   1.45%
                                                                                                                                                                                                     Oil seeds

                                                                                                                                                                                                        0.41%
                  Preparations of                 Miscellaneous edible            Beverages, spirits         Meat, sh or
                                                                                                             crustaceans,
                                                                                                                                    Preparations
                                                                                                                                    of vegetables,

                  cereals, our,                   preparations                    and vinegar                                       fruit, nuts or



                  starch or milk;
                                                                                                             molluscs or
                                                                                                             other aquatic
                                                                                                             invertebrates;
                                                                                                                                    other parts
                                                                                                                                    of plants         Animal or
                  pastrycooks’                             4.57%
                                                                                                             preparations
                                                                                                             thereof                                  vegetable fats,
                  products                                                              3.87%                                                         oils and waxes
                                                  Sugars and sugar                Tobacco and manufactured
                                                  confectionery                   tobacco substitutes            2.48%                1.85%

                               8.14%                       4.17%                        2.78%                                                                                11.6%
                                                                                                             Food industries,      Cocoa and cocoa
                                                                                                             residues and wastes   preparations

                                                                                                                 0.59%                0.58%



 Source: Observatory of Economic Complexity




 160                       Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                                              Annex




TABLE A1
Merchandise Exports in Congo: Sectoral Composition, Revealed Comparative Advantage,
and Growth
                                           Average 2002-2004                            Average 2010-2012                               Average 2018-2020

                                  Value       Share      RCA       CAGR        Value       Share           RCA    CAGR         Value       Share    RCA       CAGR
                                 (US$ M)       in %     Index       %         (US$ M)       in %          Index    %          (US$ M)       in %   Index       %

 01–05 Animal                      5.51       0.20      0.099        30         10.01       0.07          0.039    40           9.58        0.07   0.037         -44

 06–15 Vegetable                   12.45      0.46       0.161        8        26.80        0.20          0.060    -6          17.96        0.14   0.041          17

 16–24 Foodstuffs                 26.25        0.96      0.311        6        35.50        0.26          0.085   -43          34.80        0.27   0.080          50

 25–27 Minerals                 2,368.32      86.68      7.638       39      10,467.85      76.61         3.925    0          8,550.79     66.38   4.804          -28

 28–38 Chemicals                   17.91       0.66      0.071      100         21.74       0.16          0.018    5           11.99       0.09    0.010          171

 39–40 Plastic/ Rubber              1.17      0.04       0.010      160         72.81       0.53          0.118    13          3.49         0.03   0.006          -35

 41–43 Hides, Skins                0.02       0.00       0.001       -15        0.77        0.01          0.009    48          0.24        0.00    0.003          -52

 44–49 Wood                      206.33        7.55      2.146       40       396.36        2.90          1.198    6          546.99        4.25   1.804          22

 50–63 Textiles, Clothing          0.71        0.03     0.005         6         5.45        0.04          0.010    -21          2.02        0.02   0.004          -45

 64–67 Footwear                    0.02       0.00       0.001      149         0.78        0.01          0.008    50           0.75        0.01   0.007          3

 68–71 Stone / Glass              47.87        1.75     0.579        70         71.72       0.52          0.129   173          78.47        0.61   0.140          2

 72–83 Metals                     35.32        1.29      0.185       47        571.40       4.18          0.554    10         2,653.87     20.60   2.966          3

 84–85 Mach/Elec                   5.68        0.21     0.007         9        123.87       0.91          0.037    0           102.92      0.80    0.029         -48

 86–89 Transportation              0.97       0.04      0.003        141      1,813.09      13.27         1.408    -14         841.76       6.53   0.640         -94

 90–97 Miscellaneous               3.64        0.13     0.022        -61       45.48        0.33          0.061    19          26.30        0.20   0.032         -60


Source: authors’ calculation using data from BACI, CEPII.
Note: The RCA index is the ratio of a country’s export share in a specific sector to the world’s export share of that sector in total world exports. An RCA index above
one means that the country’s share of exports in that sector exceeds the global export share of the same sector in the same period, and the country is deemed to
have a revealed comparative advantage in that sector.
CAGR is the compound annual growth rate, which measures the mean annual growth rate of export over a specified period of time longer than one year.




TABLE A2
CEMAC Common External Tariff, by broad sectors

                                                                                             Percentage of tariff lines by duty rate

                                                  Average tariff           Duty-free                5%              10%                   20%              30%

 Animal products                                         22.1                  0.0                 10.2                 1.5               49.6             37.9

 Vegetable products                                     23.7                   0.0                 10.6                17.3                1.8             70.4

 Food products                                          24.6                   0.0                 10.2              13.6                  1.3             74.6

 Minerals                                               10.4                   0.0                  4.5             89.2                  6.3              0.0

 Fuels                                                   10.2                  0.0                  0.0             98.3                   1.7             0.0

 Chemicals                                               11.1                  0.0                 13.5             76.5                   1.5             7.9

 Plastic and rubber                                      15.7                  0.5                  3.7             64.8                  2.3              28.7

 Hide and skins                                          19.3                  0.0                  0.0             52.9                   1.4             45.7

 Wood and paper products                                 21.7                  4.2                  5.1             27.3                   1.8             60.7

 Textiles and textile products                           21.9                  0.0                  0.5             30.0                  19.3             50.2

 Footwear and headgear                                   29.1                  0.0                  0.0                0.0                8.5              91.5

 Stone, ceramic, glass products                          26.1                  0.0                  0.5              18.8                 0.0              80.7

 Base metals                                             16.6                  0.0                  0.5             54.9                  22.8             21.6

 Machinery, electrical equipment                         13.8                  0.3                  0.1             72.6                  15.9             11.2

 Vehicles and transport                                  15.0                  8.2                  1.8             49.4                  22.4             18.2

 Miscellaneous                                           21.5                  0.0                  9.8             24.2                  10.6             54.1

Source: Estimates based on the CEMAC tariff schedule.




                                                         Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification                     161
  Annex




   FIGURE A5
  Most favored nation overview of policy areas covered in Africa’s subregional trade
  agreements and AfCFTA
                                                                                                                                 Common                                                                 Economic                  West African                                                 Economic                           African
                                                                                                                                                                 South African                                                                                  South African
                                                                                         East African                           Market for                                                             Community                    Economic                                                 and Monetary                       Continental
                                                                                                                                                                 Development                                                                                      Customs
                                                                                         Community                               East and                                                                of West                  and Monetary                                               Community of                       Free Trade
                                                                                                                                                                  Community                                                                                        Union
                                                                                            (EAC)                              South Africa                                                           African States                  Union                                                  Central Africa                        Area
                                                                                                                                                                   (SADC)                                                                                         (SACU)
                                                                                                                                (COMESA)                                                               (ECOWAS)                     (WAEMU)                                                    (CEMAC)                           (AfCTA)

  Tariffs on manufactured goods                                                                    √                                      √                                  √                                  √                             √                              √                        √                                   √
  Tariffs on agricultural goods                                                                    √                                      √                                  √                                  √                             √                              √                        √                                   √
  Export taxes                                                                                    X                                       √                                  √                                  X                             √                             X                         √                                   √
  Customs                                                                                          √                                      √                                  √                                  √                             X                              √                        X                                   √
  Competition policy                                                                               √                                      √                                  √                                  X                             √                              √                        √                                   √
  State aid                                                                                        √                                      √                                  √                                  X                             X                             X                         √                                   X
  Antidumping                                                                                     X                                       √                                  √                                  √                             X                             X                         √                                   √
  Countervailing measures                                                                         X                                       √                                  √                                  X                             X                             X                         X                                   √
  STEs                                                                                            X                                       X                                  X                                  X                             X                             X                         X                                   √
  TBTs                                                                                             √                                      √                                  √                                  X                             X                              √                        √                                   √
  GATS                                                                                             √                                      √                                  √                                  √                             √                             X                         √                                   √
  SPS measures                                                                                     √                                      √                                  √                                  X                             X                              √                        √                                   √
  Movement of capital                                                                              √                                      √                                  X                                  √                             √                             X                         √                                   √
  Public procurement                                                                               √                                      X                                  X                                  X                             X                             X                         X                                   X
  IPRs                                                                                             √                                      X                                  X                                  X                             X                             X                         X                                   √
  Investment                                                                                       √                                      √                                  √                                  X                             X                             X                         X                                   √
  Environmental laws                                                                               √                                      √                                  X                                  √                             X                             X                         √                                   X
  Labor market regulations                                                                         √                                      √                                  X                                  X                             X                             X                         X                                   X

  Source: World Bank, 2020
  Note: √ = policy area covered; X = policy area not covered; AfCFTA = African Continental Free Trade Area; GATS = General Agreement on Trade in Services;
  IPRs = intellectual property rights; PTAs = preferential trade agreements; SPS = sanitary and phytosanitary; STEs = state trading enterprises; TBTs = technical
  barriers to trade.




   FIGURE A6
  A reduction in tariffs and NTBs accompanied by trade facilitation measures will bring the
  biggest gains
   Simulated real income gains, by country and policy reform

                                    14
EV, 2035 (% relative to baseline)




                                    12

                                    10

                                     8

                                     6

                                     4

                                     2

                                     0
                                         Côte d'lvoire

                                                         Zimbabwe

                                                                    Kenya

                                                                            Namibia

                                                                                      Tanzania

                                                                                                 Congo, Dem. Rep.

                                                                                                                    Ethiopia

                                                                                                                               Cameroon

                                                                                                                                              Morocco

                                                                                                                                                        Burkina Faso

                                                                                                                                                                       Mauritius

                                                                                                                                                                                   Egypt, Arab Rep.

                                                                                                                                                                                                      Tunisia

                                                                                                                                                                                                                Ghana

                                                                                                                                                                                                                        Senegal

                                                                                                                                                                                                                                   Botswana

                                                                                                                                                                                                                                                  Zambia

                                                                                                                                                                                                                                                           Nigeria

                                                                                                                                                                                                                                                                     South Africa

                                                                                                                                                                                                                                                                                    Uganda

                                                                                                                                                                                                                                                                                             Rwanda

                                                                                                                                                                                                                                                                                                      Madagascar

                                                                                                                                                                                                                                                                                                                   Mozambique

                                                                                                                                                                                                                                                                                                                                 Malawi

                                                                                                                                                                                                                                                                                                                                              Total, AfCFTA




                                    -2




                                                                                                                    Tariffs, NTBs, and TF                                               Tariffs and NTBs                                      Tariffs only

  Source: World Bank 2020b
  Notes: Three scenarios are simulated: (i) tariffs reduction (tariffs only), (ii) tariffs & NTBs reduction, (iii) tariff and NTBs reduction, and trade facilitation (TF).
  Equivalent variation (EV) is the expenditure to attain utility in year t in any given simulation using base year prices. In general, the equivalent variation is the amount
  of additional income needed to generate the level of utility that an individual could have achieved if the economic environment had changed.
  NTB = nontariff barrier; TF = trade facilitation




  162                                Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                                   Annex




  BOX A1


    Measuring participation in global value chains:
    Backward and forward participation
    Individual economies can participate in GVCs by importing foreign inputs to produce the goods and
    services they export (backward GVC participation) and by exporting domestically produced inputs
    to partners involved in downstream production stages (forward GVC participation). In forward GVC
    participation a country’s exports may not be fully absorbed in the importing country and instead are
    included in the importing country’s exports to third countries, as shown in the graph below.



                                                                                   Gross exports




                                   Domestic value added (DVA)                                                  Foreign value added (FVA)



                                                                                                                 Backward participation

                                  Exported as                Exported as
                                                                                        Exported as
                                 intermediates             intermediates
        Exported as                                                                   intermediates
                                    that are                    further
        final goods                                                                    that return to
                                  absorbed in              re-exported to
                                                                                      home country
                                   destination              third country




                                       Forward participation


    Source: Ignatenko et al. 2019.
                                                                                                             FVA+DVX
    Note: Hummels, et. al. (2001) and Aslam, et. al. (2017) define GVC participation as: GVCparticipation = Gross exports

    The larger the ratio, the greater the intensity of involvement of a country in GVCs. FVA captures backward GVC participation, while DVA captures
    forward GVC participation. FVA = foreign value added, DVX = domestic value-added exported to third countries.




TABLE A3
Classification of NTM
                                                    A        Sanitary and Phytosanitary Measures
       Technical Measures                            B       Technical Barriers to Trade
                                                     C       Pre-shipment Inspection and Other Formalities
                                                     D       Contingent Trade Protective Measures
                                                     E       Non-Automatic Licensing and Quality Control Measures
                                                     F       Price Control Measures, Additional Taxes and Charges
                                                     G       Finance Measures
                                                     H       Measures Affecting Competition
                                                     I       Trade-Related Investment Measures
    Non Technical Measures
                                                     J       Distribution Restrictions
                                                     K       Restriction on Post-Sales Services
                                                     L       Subsidies
                                                    M        Government Procurement Restrictions
                                                    N        Intellectual Property
                                                    O        Rules of Origin
         Export Measures                             P       Export Related Measures




                                                     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification         163
Annex




      BOX A2


       How to collect data on NTMs in a nutshell
       According to the guidelines developed by UNCTAD (2019), seven steps should be:
             1.	 Identify   sources of information
             2.	 Identify   documents from each source
             3.	 Identify   regulations from each document
             4.	 Identify   and classify measures within each regulation
             5.	 Identify   and classify affected products for each measure
             6.	 Identify   and classify affected countries for each measure
             7.	 Identify   and classify objectives for each measure


       This first step varies according to the country. In some countries, the information may be available
       at a centralized location, where one official source compiles all legal measures. In others, the
       information needs to be obtained from different locations/institutions. In many countries, an official
       journal regularly publishes new laws, regulations, acts, decrees, and the like, the information being
       contained in one publication, irrespective of the government department and the subject covered.
       Information about NTMs may also be obtained through various government institutions, for instance:


               NTM chapter                                      Government bodies potentially responsible
         A     SPS measures                                     Ministry of Agriculture; Standardization Agency; Ministry of Health
         B     TBT measures                                     Standardization Agency; Ministry of Health; Ministry of Ecology; Ministry
                                                                of Industry
         C     Pre-shipment inspection and other formalities    Customs Agency; Standardization Agency
         D     Contingent trade protective measures             Ministry of Finance; Ministry of Economy or Trade
         E     Non-automatic licensing, and other quantity      Ministry of the Economy (or Trade, Foreign Relations)
               control measures
         F     Price control measures including additional      Ministry of Economy (or Trade, Foreign Relations); Customs Agency
               taxes and charges
         G     Finance measures                                 Ministry of Finance; National Bank
         H     Measures affecting competition                   Ministry of Economy (or Trade, Foreign Relations)
         I     Trade-related investment measures                Ministry of Economy (or Trade, Foreign Relations)
         P     Export-related measures                          Ministry of Economy (or Trade, Foreign Relations); Customs Agency



       This list is not exhaustive. Names of government agencies could be different according to the
       country. Each institution may disseminate legislative documents through their websites, or through
       other means.


       Steps 2 and 3 systematically register the origin of information. These steps are essential to make
       sure that the data is traceable and can be verified and updated. From each source, one or more
       legal documents can be obtained. These documents may also contain one or more regulations.
       The remaining steps identify and classify all the relevant information from the legal text of each
       regulation.
                                                                                                   Products affected

                                                                 Measure 1                         Countries affected
                               Regulation 1
                                                                                              Objectives mentioned

                                                                                                   Products affected

                                                                 Measure 2                         Countries affected

                                                                                              Objectives mentioned

                                                                                                   Products affected

                                                                 Measure 3                         Countries affected

                                                                                              Objectives mentioned


       Source: UNCTAD 2019.




164    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                             Annex




Related to Chapter 6: Logistics and Eco-tourism to Support Diversification

TABLE A4
Port Authority of Pointe-Noire and Congo Terminal tariffs for containerized goods (in CFAF)

                                     20’ container                                            40’ container

 Stevedoring (Import)                165,000 for select essential goods                       250,000 for select essential goods
                                     330,000 for all others                                   500,000 for all others
                                     If containers are stripped, additional                   If containers are stripped, additional
                                     payment of 120,000                                       payment of 180,000

 Stevedoring (Export)                Reception 120,000                                        Reception 180,000
                                     Loading on ship 60,000                                   Loading on ship 110,000

 Port Authority                      Import loaded container 72,000                           Import loaded container 110,000
                                     Import Empty 35,000                                      Import Empty 35,000
                                     Export loaded container 25,000                           Export loaded container 45,000
                                     Export Empty 45,000                                      Export Empty 45,000

Source: Port Authority.




TABLE A5
Typical fees and tariffs for external trade documentation and procedures

 Agency                          Document                                  Cost (CFAF)

 Ministry of Commerce            Import Declaration                        30,000
                                 Special Authorization (ASI)               75,000

 CCC                             eCTN                                      78,400 to 144,400
                                                                           But some users reported much higher costs

 GUOT                            Transport Title/ Import                   132,000
                                 Declaration                               But some users reported much higher costs

 Customs                         Various fees in addition to the           75,000 to 195,000
                                 regular customs external tariff
                                 and value added tax

 Shipping agent                  Bill of Lading fees                       Around 70,000 CFAF

 Freight Forwarder               Fee                                       200,000 to 350,000 CFAF
                                                                           Additional commission of 3.5 percent on expenses
                                                                           (payments to third parties, such as Customs, port, terminal)

 Commercial Banks                Transfer fees                             Up to 11 percent of the transferred amount

 Cotecna                         Scanner fee                               600,000 CFAF

Source: Congo Shippers Council cost study update, April 2022.




TABLE A6
Comparison of selected Single Window SYSTEMS in Africa

                                        Senegal (ORBUS)                      Kenya (KENTRADE)                    Congo (GUOT)

 Development costs                      US$2.8 M                             US$12 M                             €5.3 M (US$6.0 M)

 Annual operating cost                  US$0.8 M                             US$2.5 M

 Transaction volumes                    300 transactions per day             2,200 transactions per day          330 transactions per day

 Fees                                   US$10 per transaction +              Free (funded by                     CFAF132,000 (US$215) per
                                        US$2 per document                    Government)                         transaction

Source: UNECE SW Repository.




                                                     Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   165
References




References

Chapter 1
Blimpo, Moussa P.; Gajigo, Ousman; Owusu, Solomon;                              World Bank 2014. Diversified Development : Making the
   Tomita, Ryoko; Xu, Yanbin. 2020. Technology in the                             Most of Natural Resources in Eurasia. Europe and
   Classroom and Learning in Secondary Schools. Policy                            Central Asia Studies. Washington, DC: World Bank. ©
   Research Working Paper; No. 9288. World Bank,                                  World Bank. https://openknowledge.worldbank.org/
   Washington, DC. © World Bank. https://openknowledge.                           handle/10986/17193 License: CC BY 3.0 IGO.”
   worldbank.org/handle/10986/33983 License: CC BY 3.0
   IGO.                                                                         World Bank. 2015. Republic of Congo Public Expenditure
                                                                                  Management and Financial Accountability Review :
BP. 2021. World Energy Statistics Report (70th edition)                           Implementing Public Financial Management Reforms
   h t tp s : //w w w. b p . co m /co n te n t /d a m / b p/ b u s i n e s s-     to Stimulate Growth and Achieve Shared Prosperity.
   sites/en/global/corporate/pdfs/energy-economics/                               World Bank, Washington, DC. © World Bank. https://
   statistical-review/bp-stats-review-2021-full-report.pdf                        openknowledge.worldbank.org/handle/10986/27137
                                                                                  License: CC BY 3.0 IGO.”;
Calderón, C., & Levy-Yeyati, E. L. (2009). Zooming in: From
   aggregate volatility to income distribution. World Bank                      World Bank. 2015. Republic of Congo Public Expenditure
   Policy Research Working Paper, (4895).                                         Management and Financial Accountability Review :
                                                                                  Implementing Public Financial Management Reforms
Chalendard, C., Raballand G. and A. Rakotoarisoa (2016).                          to Stimulate Growth and Achieve Shared Prosperity.
  “The use of detailed statistical data in customs reform:                        World Bank, Washington, DC. © World Bank. https://
  the case of Madagascar”, Policy Research Working Paper                          openknowledge.worldbank.org/handle/10986/27137
  n°7625, World Bank.                                                             License: CC BY 3.0 IGO.”;

Darvas, Zsolt (2021) ‘Timely measurement of real effective                      World Bank. 2016. Congo Economic Update, Third Edition,
  exchange rates‘, Working Paper 2021/15, Bruegel, 23                             September 2016 : Adjusting for Better Social and
  December 2021                                                                   Economic Development in an Era of Low Oil Prices.
                                                                                  World Bank, Washington, DC. © World Bank. https://
Diallo, O. (2009). Tortuous road toward countercyclical                           openknowledge.worldbank.org/handle/10986/27904
   fiscal policy: Lessons from democratized sub- Saharan                          License: CC BY 3.0 IGO.
   Africa. Journal of Policy Modeling, 31(1), 36-50.EITI.
   2019. Republic of the Congo 2019 EITI Report                                 World Bank. 2016. Congo Economic Update, Third Edition,
                                                                                  September 2016 : Adjusting for Better Social and
Ferrantino, M. J., Liu, X. and Z. Wang (2012). “Evasion                           Economic Development in an Era of Low Oil Prices.
   behaviors of exporters and importers: Evidence from                            World Bank, Washington, DC. © World Bank. https://
   the US–China trade data discrepancy”, Journal of                               openknowledge.worldbank.org/handle/10986/27904
   International Economics, 86(1): 141.-157.                                      License: CC BY 3.0 IGO.”

Herrera, Santiago; Kouame, Wilfred A.; Mandon, Pierre.                          World Bank; International Finance Corporation; Multilateral
  2019. Why Some Countries Can Escape the Fiscal Pro-                             Investment Guarantee Agency. 2018. The Republic of
  Cyclicality Trap and Others Cannot?. Policy Research                            Congo Systematic Country Diagnostic : Policy Priorities
  working paper, no. WPS 8963; Policy Research Working                            for Ending Extreme Poverty and Boosting Shared
  Paper; No. 8963. World Bank, Washington, DC. ©                                  Prosperity in a Non-Diversified and Fragile Country.
  World Bank. https://openknowledge.worldbank.org/                                World Bank, Washington, DC. © World Bank. https://
  handle/10986/32215 License: CC BY 3.0 IGO.                                      openknowledge.worldbank.org/handle/10986/30223
                                                                                  License: CC BY 3.0 IGO.
Hnatkovska, V. (2004). Volatility and growth (Vol. 3184).
  World Bank Publications.                                                      World Bank. 2021.  The Changing Wealth of Nations 2021 :
                                                                                  Managing Assets for the Future. Washington, DC: World
IMF. 2017. “Botswana: Technical Assistance Report-Public                          Bank. © World Bank. https://openknowledge.worldbank.
   Investment Management Assessment.” IMF Staff Country                           org/handle/10986/36400 License: CC BY 3.0 IGO.”
   Reports 2017.306 (2017).
                                                                                World Bank. 2022. Republic of Congo- Programmatic
IMF. 2021. “Republic of Congo: Climate change adaptation                          Public Finance Review : Making Public Finance Work for
   and transition issues in a low-income oil exporting                            the People of the Republic of Congo. Washington, DC :
   country.”                                                                      World Bank. © World Bank.

Melina, Giovanni, Hoda Selim, and Concepcion Verdugo-
  Yepes.  Macro-fiscal Gains from Anti-corruption Reforms
  in the Republic of Congo. International Monetary Fund,
  2019.

Regolo, J. (2013). Export diversification: how much does
  the choice of the trading partner matter? Journal of
  International Economics 91, 329–342.




166    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                                 References




Chapters 2 and 3
Apedo-Amah, M.C., Avdiu, B., Cirera, X., Cruz, M., Davies,               La Porta, R. & Shleifer, A . (2014). “Informality and
  E., Grover, A., Iacovone, L., Kilinc, U., Medvedev, D.,                  Development.” Journal of Economic Perspectives, 28(3),
  Maduko, F.O., Poupakis, S., Torres, J., Tran, T.T. (2020).               109–26.
  “Unmasking the Impact of COVID-19 on Businesses: Firm
  Level Evidence from Across the World”. World Bank                      Muzi, S., Jolevski, F., Ueda, K., & Viganola, D. (2021).
  Policy Research Working Paper No. 9434. World Bank,                      “Productivity and Firm Exit during the COVID-19 Crisis:
  Washington, DC.                                                          Cross-Country Evidence”. World Bank Policy Research
                                                                           Working Paper No. 9671.
Aghion P., & R Griffith. 2005. “Competition and Growth:
  Reconciling Theory and Evidence”, MIT Press, Cambridge                 Olley, G.S. & Pakes, A. (1996). “The Dynamics of Productivity
  MA                                                                        in the Telecommunications Equipment Industry”.
                                                                            Econometrica, 64 (6), 1263–97.
Bloom, N., Eifert, B., Mahajan, A., McKenzie, D., & Roberts,
   J. (2013). “Does Management Matter? Evidence from                     Perry, G. (2009). Beyond Lending: How Multilateral Banks
   India”. Quarterly Journal of Economics, 128 (1), 1–51.                   Can Help Developing Countries Manage Volatility. Center
                                                                            for Global Development. Washington, DC.
Cirera, X., Cruz, M., Grover, A., Iacovone, L., Medvedev,
   D., Pereira-Lopez, M., Reyes, S. (2021). “Firm Recovery               Trang, T.T., & Iacovone, L. (2015). “Firm-level convergence of
   during COVID-19: Six Stylized Facts”. World Bank                         productivity in Peru”. Unpublished manuscript.
   Policy Research Working Paper No. 9810. World Bank,                   World Bank (2018). The Republic of Congo Systematic
   Washington, DC.                                                         Country Diagnostic: Policy Priorities for Ending Extreme
Cirera, X., Frias, J., Hill, J., & Li, Y. (2020). A Practitioner’s         Poverty and Boosting Shared Prosperity in a Non-
   Guide to Innovation Policy: Instruments to Build Firm                   Diversified and Fragile Country. Washington, DC: World
   Capabilities and Accelerate Technological Catch-Up in                   Bank.
   Developing Countries. World Bank, Washington, DC.                     World Bank (2021). Strengthening World Bank SME-Support
Cusolito, A., & Maloney, W. (2018). Productivity Revisited.                Interventions: Operational Guidance. Washington, DC:
  World Bank, Washington, DC. World Bank.                                  World Bank.

Davies, E. (2019). “Boosting Productivity for Faster Growth”.            World Bank (2021b). Republic of Congo Economic Update,
  Background paper for “Serbia Country Economic                            8th Edition: Living in Times of COVID-19. Washington,
  Memorandum”, World Bank, Washington, DC.                                 DC: World Bank.




Chapter 4
Alby, P., J. Dethier, and S. Straub. 2011. “Let There be                 Cruz, Marcio, Mark A. Dutz, and Carlos Rodríguez-Castelán.
   Light! Firms Operating under Electricity Constraints in                  2021. Digital Senegal for Inclusive Growth: Technological
   Developing Countries.” Working Paper 11–255, Toulouse                    Transformation for Better and More Jobs. International
   School of Economics (TSE), Toulouse, France.                             Development in Focus. Washington, DC: World Bank.

Allcott, H., A. Collard-Wexler, and S.D. O’Connell. 2014. “How           CUA/OCDE (2021), Dynamiques du développement en
   Do Electricity Shortages Affect Productivity? Evidence                  Afrique 2021 : Transformation digitale et qualité de
   from India.” NBER Working Paper 19977, Cambridge,                       l’emploi, CUA, Addis Abeba/Éditions OCDE, Paris,
   Massachusetts.                                                          https://doi.org/10.1787/cd08eac8-fr.

Artelia. 2015. Study on tarif and demand in the Republic                 Cubbin, J, and Stern, J. 2006. The Impact of Regulatory
   of Congo. Commissioned by the World Bank under the                      Governance and Privatization on Electricity Industry
   PEEDU project.                                                          Generation Capacity in Developing Economies. World
                                                                           Bank Economic Review 20 (1): 115–41.
Audinet, P, and Rodriguez Pardina, M. 2010. Managing an
  Electricity Shortfall: A Guide for Policy Makers. World                E 2C. 2021. Activity Report for 2021. Inventory of Customers
  Bank, Washington, DC.                                                      and Supply of Meters.

B ashir, S . (2020). D igital S kills: Frameworks and                    Foster, V., and Steinbuks, J. 2010. “When do Firms Generate?
   Programs . Washington, DC: World Bank. License:                          Evidence on In-House Electricity Supply in Africa.”
   Creative Commons Attribution CC BY 3 .0 IGO.                             Energy Economics 32 (2010): 505–14.
   https://openknowledge.worldbank .org/bitstream/
   handle/10986/35080/Digital-Skills-Frameworks-and-                     Fried, Stephie, and David Lagakos, 2020. “Electricity and
   Programs.pdf?sequence=1&isAllowed=y                                      Firm Productivity: A General-Equilibrium Approach,”
                                                                            NBER Working Papers 27081, National Bureau of
Carvalho, A. 2016. Delays in Connecting Firms to Electricity:               Economic Research, Inc. GIZ. 2013. Productive Use of
   What Matters?. Herriot Watt University. Centre for                       Energy – PRODUSE: Measuring Impacts of Electrification
   Energy Economic Research and Policy Working Paper                        on Small and Micro-Enterprises in Sub-Saharan Africa.
   No. 3 November 2016.
                                                                         Goldfarb, Avi, and Catherine Tucker. 2019. “Digital
Cirera, Xavier; Maloney, William F. 2017. The Innovation                   Economics.” Journal of Economic Literature, 57 (1): 3-43.
   Paradox : Developing-Country Capabilities and the
   Unrealized Promise of Technological C atch- Up.                       Grainger, C.A. and Zhang, F. 2017. The Impact of Electricity
   Washington, DC: World Bank. © World Bank. https://                       Shortages on Firm Productivity Evidence from Pakistan.
   openknowledge.worldbank.org/handle/10986/28341                           World Bank
   License: CC BY 3.0 IGO




                                               Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   167
References




GSMA , 2016. Connected Society: Consumer Barriers                                    UNCTAD (2021), National ICT policy review and e-commerce
  to Mobile Internet Adoption in Africa. https://www.                                  strategy for Botswana , Geneva. https://unctad.org/
  g s m a . c o m /m o b i l e f o r d e v e l o p m e n t / w p - c o n t e n t /     system/files/official-document/dtlstict2021d4_en.pdf
  u p l o a d s / 2 0 1 6/07/C o n s u m e r- B a r r i e r s-to - m o b i l e -
  internet-adoption-in-Africa.pdf                                                    UNDP, 2020. Human Development Report 2019 - Congo.
                                                                                       https://hdr.undp.org/en/countries/profiles/COG
IEA. 2022. Republic of Congo – Country Profile. [online]
   Available from: https://www.iea.org/countries/congo                               UNECA , 2019. Digital Transformation and Economic
                                                                                       Diversification in Central Africa: Issues, Challenges and
IFC, “Small business, big growth - How investing in SMEs                               Opportunities, 35th Intergovernmental Session of Senior
   creates jobs, International Finance Corporation,                                    Officials and Experts for Central Africa (ICE), United
   March 2021. Accessible from: https://www.ifc.org/                                   Nations Economic Commission for Africa, Malabo,
   w p s / w c m /c o n n e c t / 2 c 4 9 9 f d 9 - a 2 e 8 - 4 f a c - 9 8 3 3 -      September 23-27, 2019, www.uneca.org/sites/default/
   145620746fc4/IFC _ SME _ Report _ 2021 _ FA _digital.                               files/images/SROs/CA/SROs_CA/cie_19_-_rapport_
   pdf?MOD=AJPERES&CVID=nCL6R9f                                                        du_cie_-_29_octobre_2019_without_contacts.pdf.

INS Congo, Annuaires Statistiques du Congo, 2018. https://                           UNESCO Institute for Statistics, 2022. Country Profile —
   ins-congo.org/annuaire-statistique/                                                 Republic of Congo. http://uis.unesco.org/en/country/cg

INS Congo, Recensement Général des Entreprises en                                    UNESCO, 2017. UNESCO China Funds in Trust Project
   République du Congo, published in 2021 - https://ins-                               Phase II (2017-2018). Harnessing Technology for quality
   congo.cg/recensement-general-des-entreprises-du-                                    Teacher Training in Africa https://unesdoc.unesco.org/
   congo-regec-principaux-resultats/                                                   ark:/48223/pf0000261280/PDF/261280eng.pdf.multi

International Labor Organization, Digital Skills and the                             UNESCO, 2021. Nigeria identifies priority areas for Open
   future of work: Challenges and opportunities in a post                              Education Resources. https://en.unesco.org/news/
   COVID-19 environment, 2020. URL: https://www.ilo.                                   nigeria-identifies-priority-areas-open-educational-
   org/wcmsp5/groups/public/---ed_emp/documents/                                       resources
   publication/wcms_766085.pdf)
                                                                                     World Bank. 2016. “World Development Report 2016: Digital
International Telecommunications Union (ITU), Economic                                 Dividends.” Overview booklet. World Bank, Washington,
   contribution of broadband, digitization and ICT                                     DC.
   regulation - Econometric modelling for Africa, 2019.
                                                                                     World Bank. 2018. World Bank Enterprise Surveys (2002–
Ministère des Postes, des Télécommunications et de                                     18).
   l’Economie Numérique. April 2019. Stratégie Nationale
   de Développement de l’Economie Numérique “Congo                                   World Bank. 2019. World Bank Data – Congo - Access to
   Digital 2025”. Congo Brazzaville.                                                   electricity (% of population) [online] Available from:
                                                                                       https://data.worldbank.org/indicator/EG.ELC.ACCS.
Ministry of Education and Vocational Training of Tanzania,                             ZS?locations=CG
   2015. ICT Competency Standards for Teachers in
   Tanzania. https://unesdoc.unesco.org/ark:/48223/                                  World Bank. 2020. Economy Profile - Doing Business –
   pf0000234822/PDF/234822eng.pdf.multi                                                Regional Peers: Angola, Cameroon, Congo, Ghana, and
                                                                                       Nigeria. Structural Peers: Azerbaijan, Iraq, Mauritania,
Nancy Law et al., A Global Framework of Reference on Digital                           Timor-Leste. Aspirational Peers: Georgia, Indonesia,
  Literacy Skills for Indicator 4.4.2. UNESCO Institute                                Malaysia, Moldova, Vietnam.
  for Statistics. http://uis.unesco.org/sites/default/files/
  documents/ip51-global-framework-reference-digital-                                 World Bank, 2020. Unemployment, total (percent of total
  literacy-skills-2018-en.pdf                                                          labor force) (modeled ILO estimate - Republic of Congo.
                                                                                       https://data.worldbank.org/indicator/SL.UEM.TOTL.
National Institute for Statistics, 2020. “Annuaire Statistique                         ZS?locations=CG
   du Congo 2018. Chapitre 8: Statistiques de l’éducation,
   de la formation qualifiante et de la recherche ”.                                 World Bank, 2020. Unemployment, Total (percent of total
                                                                                       labor force) (modeled ILO estimate) – Congo, Rep.
Nayyar, Gaurav; Hallward-Driemeier, Mary; Davies, Elwyn.                               https://data.worldbank.org/indicator/SL.UEM.TOTL.
  2021. At Your Service? : The Promise of Services-                                    ZS?locations=CG
  Led Development. Washington, DC: World Bank. ©
  World Bank. https://openknowledge.worldbank.org/                                   World Bank, 2020. Unemployment, youth total (percent
  handle/10986/35599 License: CC BY 3.0 IGO.                                           of total labor force ages 15-24) (modeled ILO estimate)
                                                                                       – Congo. Rep. https://data.worldbank.org/indicator/
Partech, 2021. Africa tech venture capital report, https://                            SL.UEM.1524.ZS?locations=CG
   partechpartners.com/2021-africa-tech-venture-capital-
   report/#section1                                                                  World Bank, 2022. Unemployment, Total (percent of total
                                                                                       labor force). https://data.worldbank.org/indicator/
Sustainability Exchange (2022). What is Energy and How                                 SL.UEM.TOTL.ZS?locations=CG
   Much do You Use? [online] Available from:https://
   www.sustainabilityexchange.ac.uk/files/cambridge_                                 World Bank. 2022a. Doing Business – Getting electricity
   regional_college_ sus _ how_ much _energy_do_ you _                                 – Why it matters? [online] Available from: https://
   use_pdf.pdf                                                                         subnational.doingbusiness.org/en/data/exploretopics/
                                                                                       getting-electricity/why-matters
Trimble, C. Kojima, M. Perez Arroyo, I. Mohammadzadeh, F.
   (2016) Financial Viability of Electricity Sectors in Sub-                         World Development Indicators. (2022) [online] Available
   Saharan Africa: Quasi-Fiscal Deficits and Hidden Costs.                             f r o m : h t t p s : //d a t a to p i c s .wo r l d b a n k . o r g /wo r l d -
   World Bank. Section 6.3.                                                            development-indicators/




168    Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification
                                                                                                                              References




Chapter 5
Brenton, P., Saborowski, C., Von Uexkull, E., 2010. What              Regolo, J., 2013. Export diversification: how much does
   explains the low survival rate of developing country                 the choice of the trading partner matter? Journal of
   export flows? The World Bank Economic Review 24,                     International Economics 91, 329–342.
   474–499.
                                                                      Sekkat, K. (2016). Exchange rate misalignment and export
Cadot, O., Carrere, C., Strauss-Kahn, V., 2013. Trade                    diversification in developing countries. The Quarterly
  diversification, income, and growth: what do we know?                  Review of Economics and Finance, 59, 1-14.
  Journal of Economic Surveys 27, 790–812.
                                                                      Tran, T. A . D., Phi, M. H., & Diaw, D. (2017). Export
Cadot, O., Carrère, C., Strauss-Kahn, V., 2011. Export                   diversification and real exchange rate in emerging Latin
  diversification: what’s behind the hump? Review of                     America and Asia: A South–North vs. South-South
  Economics and Statistics 93, 590–605.                                  decomposition. The Journal of International Trade &
                                                                         Economic Development, 26(6), 649-676.
Conde, C., Heinrigs, P., O’Sullivan, A., 2015. Tapping the
  potential of global value chains for Africa. Europe 57,             World Bank (2012) “De-Fragmenting Africa: Deepening
  50–9.                                                                 Regional Trade Integration in Goods and Services”. The
                                                                        World Bank, Washington, DC.
de Melo, J., and Z. Sorgho. 2019. “The Landscape of Rules of
   Origin across African RECs in a Comparative Perspectives           World Bank, 2018. Country Economic Memorandum -
   with Suggestions for Harmonization.” Fondation                       Economic and Monetary Community of Central Africa
   pour Les Études et Recherches sur le Développement                   (CEMAC), Washington, DC.
   International, Clermont-Ferrand, France.
                                                                      World Bank, 2020. World Development Report 2020:
Engel, Jakob; Kokas, Deeksha; Lopez-Acevedo, Gladys;                    Trading for Development in the Age of Global Value
  Maliszewska, Maryla. 2021. The Distributional Impacts of              Chains. The World Bank, Washington, DC.
  Trade: Empirical Innovations, Analytical Tools, and Policy
  Responses. Trade and Development; Washington, DC:                   World Bank, 2020b. The African Continental Free Trade
  World Bank.                                                           Area: Economic and Distributional Effects. The World
                                                                        Bank, Washington, DC.
Naudé, W., Bosker, M ., Matthee, M ., 2010. Expor t
  specialisation and local economic growth. World
  Economy 33, 552–572.




Chapter 6
ATTA. (2021, May). Natural areas and domestic destinations            Ministère de l’Environnement, du Développement Durable
  will prevail in tourism’s recover y. Retrieved May                     et du Bassin du Congo. (2020, June 9). Promulgation
  202 2, from AdventureTravelNews: https://w w w.                        des lois portant sur la création du GUT, de la SOCITOUR
  adventuretravelnews.com/natural-areas-and-domestic-                    et la transformation de l’OPIT. Retrieved from Ministère
  destinations-will-prevail-in-tourisms-recovery                         de l’Environnement, du Développement Durable et du
                                                                         Bassin du Congo: https://www.developpement-durable.
Backer, E. (2007). VFR Travel: An Examination of the                     gouv.cg/promulgation-des-lois-portant-sur-la-creation-
  Expenditures of VFR Travellers and their Hosts. Current                du-gut-de-la-socitour-et-la-transformation-de-lopit/
  Issues in Tourism, 10(4), 366-377.
                                                                      Ministere du Tourisme et de l’Environnement, Republique
Bennet, K ., and N. Henninger. 2009. “Payments for                       du Congo. (2018). Annuaire Statistique du Tourisme 2018.
  Ecosystem Services in Costa Rica and Forest Law No.                    Government of Congo.
  7575: Key Lessons for Legislators.” World Resources
  Institute.                                                          Ministere du Tourisme et des Loisirs, Republique du Congo.
                                                                         (2017, June). Plan Directeur de Développement Durable
Bloom Consulting. (2022). Country Brand Rankings 2022-                   du Tourisme en République du Congo. Retrieved from
   2023 Tourism Edition. Retrieved April 2022, from Bloom                https://www.developpement-durable.gouv.cg/plan-
   Consulting | Nation Branding & City Branding: https://                directeur-de-developpement-durable-tourisme/
   www.bloom-consulting.com/en/country-brand-ranking
                                                                      Oviedo, Ana Maria, Susana M. Sanchez, Kathy A. Lindert,
Brown, Jessica, and Neil Bird. 2010. “Costa Rica’s Sustainable          and J. Humberto Lopez. 2015. Costa Rica’s Development:
   Resource Management: Successfully Tackling Tropical                  From Good to Better. Systematic Country Diagnostic.
   Deforestation.” Overseas Development Institute.                      Washington, DC: World Bank. License: Creative
                                                                        Commons Attribution CC BY 3.0 IGO
Fennell, D. A . (2001). A content analysis of tourism
  definitions. Current Issues in Tourism, 4(5), 403-421.              Parcs de Noé. (n.d.). Parcs Congo. Retrieved May 2022,
                                                                         from Parcsdenoe.Org: http://parcsdenoe.org/en/parcs-
Lonely Planet. (2022, April 22). Republic of Congo. Retrieved            congo/
   from Lonely Planet: https://www.lonelyplanet.com/
   congo                                                              Raul Cole and Shutterstock. 2022. “How Costa Rica is
                                                                        Investing in a Landscape Approach to Build a Sustainable
                                                                        Future.” World Bank Feature Story.




                                            Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification   169
References




Rodriguez Zunega, J.M. 2003. “Payment for forest                           Wikimedia, C . t. (2003, August 8). Republic of the
  environmental services: the Costa Rican Experience.”                       Congo – travel guide at wikivoyage . Retrieved from
  Unasylva 54 (212): 31–33.                                                  Wikimedia Foundation, Inc.: https://en.wikivoyage.org/
                                                                             wiki/Republic _ of_the _Congo#/media/File:Congo-
TravelPulse. (2021, August). G adventure survey finds                        Brazzaville_regions_map.png
   pandemic travel is about reconnection . Retrieved
   May 2022, from TravelPulse: https://www.travelpulse.                    World Economic Forum . 202 2 . Travel & Tourism
   com/news/tour-operators/g-adventure-survey-finds-                         Competitiveness Report (TTCR) 2021. Geneva: World
   pandemic-travel-is-about-reconnection.html                                Economic Forum.

Umng.cg. (n.d.). Programmes. Retrieved May 2022, from                      WorldWatch Institute. April 2015. “Costa Rica Aims to
  Umng.cg: https://umng.cg/?q=fr/node/77                                     Become First Carbon Neutral Country.”

UNESCO World Heritage Centre. (n.d.). Congo. Retrieved                     WTTC. (2019, August). Visa Facilitation, enabling travel &
  May 2022, from UNESCO World Heritage Centre: https://                      job creation through secure & seamless cross-border
  whc.unesco.org/en/statesparties/cg                                         travel. Retrieved May 2022, from Wttc.Org: https://wttc.
                                                                             org/Portals/0/Documents/Reports/2019/Security%20
Visa. (2020). Relaxing entry visa policies helps countries                   and%20Travel%20Facilitation-Visa%20Facilitation-
   boost tourism . Retrieved May 2022, from Visa.com:                        Aug%202019.pdf?ver=2021-02-25-182749-077
   https://usa.visa.com/partner-with-us/visa-consulting-
   analytics/relaxing-entry-visa-policies-helps-countries-                 WTTC. (2021). Republic of Congo 2021 Annual Research:
   boost-tourism.html                                                        Key Highlights, Travel & Tourism economic impact .
                                                                             Retrieved from Wttc.Org: https://wttc.org/Research/
Wallbott, L., Siciliano, G., & Lederer, M. 2019. “Beyond PES                 Economic-Impact
  and REDD+: Costa Rica on the way to climate-smart
  landscape management?” Ecology & Society, 24(1), 24.                     Yale University. (2020). Environmental performance index.
                                                                              Retrieved from Yale.edu: https://epi.yale.edu/epi-
WCS. (2018, November). Creation of Ogooue-Leketi                              results/2020/component/epi
  National Park . Retrieved April 2022, from Wcs.Org:
  https://newsroom.wcs.org/News-Releases/articleType/
  Ar ticleView/a r ticle I d/ 1 170 6/Creation - of- O g o o ue -
  Leketi-National-Park.aspx




170   Republic of Congo’s Road to Prosperity: Building Foundations for Economic Diversification