ENTERPRISE S URVEYS
                          ENTERPRISE NOTE S ERIES

                                                                                                                                                           GENDER
                          Female Top Managers in Malaysia
2018




                          Mohammad Amin and Amanda Zarka


                          R
                                  ecent rm-level survey data collected by the World Bank’s Enterprise Surveys (ES) shows that
                                  about a quarter of all Malaysian rms have a female top manager. Female top managers are
                                  more likely to be found in large rms than in small rms, in the retail sector vs. the rest of the
                          economy, and in exporting than in non-exporting rms. In contrast to what the literature might
                          suggest, in Malaysia, rms with a female top manager have higher labor productivity on average than
                           rms with a male top manager. However, the business environment, along several important
                          dimensions such as the regulatory burden, corruption, and the crime and security environment, is
ENTERPRISE NOTE No . 36




                          more di cult for rms with female top managers.


                          Introduction                                                     Malaysian firms are more likely to have a
                              Gender inequality is an issue that persists in every         female top manager than firms in
                          country around the world (Hausmann et al., 2006). In             upper-middle-income countries
                            rms, gender inequality at the managerial level occurs              Over a quarter of all rms in Malaysia have a female
                          when men receive a disproportionate share of managerial          top manager. is is signi cantly higher than upper- and
                          positions, greater job security, and higher wages, among         lower-middle-income countries, where only 17 percent
                          other things. Studies show that women tend to be                 and 19 percent of the rms have a female top manager,
                                                                                           respectively ( gure 1). However, Malaysia still falls
                          concentrated in low-paying and vulnerable jobs, and are
                                                                                           signi cantly behind the EAP region, where on average 40
                          less likely to be found in dynamic and high-paying               percent of the rms have a female top manager. Within
                          positions such as CEOs and managers of companies                 the EAP region, Malaysia only outperforms Indonesia and
                          (World Bank 2011, Elson 1999, Blau and Kahn 2003).               Vietnam, although not signi cantly so, where only 22
                          Using the World Bank’s Enterprise Survey (ES) data,1             percent of rms have a female top manager. All these
                          this Enterprise Note analyzes various issues related to          results continue to hold qualitatively even after
                          private rms in Malaysia having a female (vs. male) top           accounting for di erences in basic rm characteristics
                          manager, i.e. the main decision-maker. Malaysia’s                mentioned above. In short, while Malaysia has a
                                                                                           reasonable share of female top managers by international
                          experience is benchmarked against the average across
                                                                                           standards, the regional experience suggests it could do
WORLD BANK GROUP




                          countries for the following comparator groups: countries         even better.
                          in the East Asia & Paci c (EAP) region,2 upper-
                          middle-income countries, and lower-middle-income                                                                  Over a quarter of Malaysian firms
                                                                                                          Figure 1
                          countries.3    Unless otherwise stated, all gures and                                                             have a female top manager
                          discussion below refer to the private sector as covered by
                                                                                            % of firms with a female top manager




                                                                                                                                   45
                                                                                                                                                    40%
                          the ES. Results discussed for Malaysia and the comparator                                                40

                          groups are based on regression analysis.        e statistical                                            35
                                                                                                                                   30
                          signi cance of the results, and their robustness with                                                          26%
                                                                                                                                   25
                          regards to di erences in basic rm characteristics, which                                                 20                           17%
                                                                                                                                                                               19%

                          include rm size (log of number of employees), age of the                                                 15

                            rm, percentage of foreign ownership of the rm, and the                                                 10
                                                                                                                                    5
                          industry to which the rm belongs, are discussed.
                                                                                                                                    0
                             roughout, the term “signi cant” or “signi cantly”                                                          Malaysia     EAP     Upper-middle   Lower-middle
                                                                                                                                                               income         income
                          means statistical signi cance at the 10 percent level or less.
                                                                                           Source: Enterprise Surveys (various years).
                   Figure 2                                          Greater gender parity in tertiary                                            Figure 3                                Large firms in Malaysia are much more
                                                                     education is associated with a higher                                                                                likely to have a female top manager
                                                                     percentage of firms with a female                                                                                    than small- and medium-sized firms
                                                                     top manager
                                                                                                                                                                           45
                                                                                                                                                                                                     41%




                                                                                                                                    % of firms with a female top manager
                                                                                    60                                                                                                        41%
 % of firms with a female top manager (residuals)




                                                                                                                                                                           40
                                                                                    50                                                                                                                     35% 34%
                                                                                                                                                                           35
                                                                                    40
                                                                                                                                                                           30
                                                                                                                                                                                        27%
                                                                                                                                                                                  25%
                                                                                    30                                                                                     25
                                                                                                                                                                                                                                          21%
                                                                                                                                                                           20                                         18%
                                                                                    20
                                                                                                                                                                                                                            16%                 15%
                                                                                          MYS
                                                                                                                                                                           15                                                                         13%
                                                                                    10
                                                                                                                                                                           10                                                     9%
                                                                                      0
                                                    -0.80   -0.60   -0.40   -0.20      0.00     0.20   0.40   0.60   0.80   1.00                                             5
                                                                                    -10                                                                                      0
                                                                                                                                                                                    Malaysia               EAP       Upper-middle        Lower-middle
                                                                                    -20                                                                                                                                income              income

                                                                                    -30
                                                                                                                                                                           Small (<20 workers)      Medium (20 to 99 workers)          Large (100+ workers)
                                                               Gender parity in tertiary education (residuals)



Source: Enterprise Surveys and World Development Indicators, World                                                                 Source: Enterprise Surveys (various years).
Bank (various years).
Note: “MYS” in the figure denotes Malaysia. The graph is a partial scatter
plot of the relationship between the percentage of firms with a female top
manager in the country and gender parity in tertiary education. The
relationship is obtained after controlling for differences in GDP per capita
(log values). The positive relationship shown in the figure is statistically
significant at the 1 percent level.


For its level of education among women                                                                                             large rms are more visible, and hence less likely to
                                                                                                                                   discriminate against women candidates for the top
relative to men, Malaysia outperforms other
                                                                                                                                   manager position. However, it is also possible that large
countries in the proportion of                                                                                                       rms are more hierarchical – making it di cult for
female-managed firms                                                                                                               women to reach the top managerial position, as they often
     Education is one of the most important determinants                                                                           fall behind men in networks, training, and relevant job
of a women’s career path. erefore, education is key to                                                                             experience.
closing the gender gaps in income and employment                                                                                           e ES data show that in the case of Malaysia, there is
(World Bank 2011). For higher levels of gender parity in                                                                           a positive and signi cant relationship between rm-size
tertiary education, we expect the percent of female top                                                                            (log of number of employees) and the tendency of having
managers to increase signi cantly (see Amin and Islam                                                                              a female top manager. Close to 41 percent of large rms in
2016). is positive and signi cant relationship is shown                                                                            Malaysia have a female top manager as compared with
in gure 2, and it continues to hold even after accounting                                                                          only 25 percent of small-sized rms and 27 percent of
for di erences in GDP per capita across countries and                                                                              medium-sized rms ( gure 3). In contrast, the stated
basic rm characteristics.4      e relationship is stronger in                                                                      relationship is the opposite in the comparator groups and
Malaysia than in other countries. at is, as more females                                                                           statistically signi cant except for the EAP region ( gure
receive tertiary education (relative to men), even more are                                                                        3). All the results discussed in this paragraph continue to
hired as top managers in Malaysia than in other countries.                                                                         hold even after accounting for di erences in basic rm
                                                                                                                                   characteristics.
Bucking the international trend, large firms in
Malaysia are more likely to have a female top                                                                                      Like other countries, retail firms in Malaysia
manager than small firms                                                                                                           are much more likely to have a female top
                                                                                                                                   manager than firms in manufacturing and
    Firm-size is considered an important proxy measure
and determinant of various rm characteristics. For                                                                                 other services sectors
instance, large rms – measured by annual sales or                                                                                      A large literature exists on the segregation of men and
number of employees – are often associated with greater                                                                            women workers by occupation as well as industry (World
exporting activity, innovation and R&D, productivity etc.                                                                          Bank 2011, Hsieh et al. 2013, Randall 2012). In fact,
However, it is not clear how rm-size a ects the tendency                                                                           using the ES data for a large cross-section of countries,
of having a female top manager. One possibility is that                                                                            Amin and Islam (2014) report that the tendency of having


 2
a female top manager is much higher in the retail sector                                                      Corruption is another important area where rms
than in the rest of the economy (other services and                                                      with a female top manager in Malaysia fare worse. In the
manufacturing). is holds in Malaysia too, where about                                                    ES, respondents were asked if rms pay bribes to public
35 percent of retail rms have a female top manager,                                                      o cials to “get things done” as well as how much. A
signi cantly higher than the 21 percent of rms in the rest                                               signi cantly higher proportion of rms with a female top
of the economy (28 percent in manufacturing and 20                                                       manager in Malaysia reported paying such bribes,
percent in the other services sectors).       e comparator                                               compared with rms with a male top manager (36 percent
groups exhibit a similar result, except for the EAP region                                               vs. 17 percent). Although the di erence is not signi cant,
where the di erence is not signi cant. Moving beyond                                                     bribes paid as a percentage of rms’ annual sales is
sectors, one area where Malaysia stands out over                                                         quantitatively much higher for rms with a female top
comparators is the signi cantly higher proportion of rms                                                 manager than a male top manager (7 percent vs. 3
with a female top manager among exporters (43 percent)                                                   percent). In contrast, in the comparator groups, the
compared with non-exporters (24 percent). In contrast,                                                   gender-based gap for both the corruption variables is
comparator groups do not show any noticeable di erence                                                   much smaller, insigni cant, and often favors rms with a
in these proportions. Accounting for di erences in the                                                   female top manager. Figure 4B illustrates the point. e
basic rm characteristics does not make any qualitative                                                     ndings for corruption for Malaysia and the comparator
di erence to the ndings discussed in this paragraph.                                                     countries remain qualitatively unchanged even after
                                                                                                         accounting for di erences in basic rm characteristics.
Firms with a female top manager experience a                                                                  In terms of crime and security, rms with a female top
more difficult business environment than firms                                                           manager in Malaysia are more likely to experience crime
with a male top manager in several ways                                                                  and spend on security, than rms with a male top
                                                                                                         manager; as a percentage of rms’ annual sales, losses due
       e ES data show that for several business                                                          to crime as well as expenses on security are higher for rms
environment measures, rms with a male top manager in                                                     with a female top manager than a male top manager.
Malaysia enjoy a better business environment than rms                                                    While these gender-based di erences are quantitatively
with a female top manager. First, the time tax – an overall                                              large, they are not always statistically signi cant. For
measure of the regulatory burden on private rms – is                                                     instance, losses due to crime equal 2.4 percent of annual
signi cantly higher for Malaysian rms run by females                                                     sales for a typical rm with a female top manager
than males (7.1 percent vs. 2.9 percent, respectively). e                                                compared with 1.2 percent for a rm with a male top
time tax is higher for female-managed rms in the upper-                                                  manager.        e di erence is quantitatively large but not
and lower-middle-income countries and lower in the EAP                                                   signi cant. For the comparator groups, the results are
region, but these di erences are quantitatively small and                                                mixed, as rms with a female top manager face tougher
not signi cant ( gure 4A). Accounting for di erences in                                                  crime and security situations in some cases and better
basic rm characteristics does not make any di erence to                                                  situations in others. However, these gender-based
the qualitative nature of the results discussed above for the                                            di erences are typically small in magnitude and
time tax.                                                                                                statistically insigni cant.



  Figure 4                                    Firms with a female top manager in Malaysia exhibit a higher regulatory burden and seem to
                                              face greater corruption than firms with a male top manager

                                                               Figure 4A                                                                                                     Figure 4B
                                                                                                         Bribes firms pay to get things done as %
                                                                                                         of their annual sales (firm-level average)
  % of firms' senior management's time




                                         16                                                    14.3%                                                  8
                                                                                                                                                                 6.8%
    spent in dealing with goverment




                                                                                          13.2%
    regulations (firm-level average)




                                         14                                                                                                           7
                                                                           11.3%11.7%
                                         12                                                                                                           6
                                         10                 8.6%                                                                                      5
                                                                    7.6%
                                          8          7.1%
                                                                                                                                                      4
                                                                                                                                                          3.0%
                                          6                                                                                                           3
                                                                                                                                                                        2.0% 1.8%
                                          4   2.9%                                                                                                    2
                                                                                                                                                                                                     1.0% 1.0%
                                          2                                                                                                           1                              0.6% 0.7%

                                          0                                                                                                           0
                                              Malaysia         EAP         Upper-middle   Lower-middle                                                     Malaysia         EAP     Upper-middle   Lower-middle
                                                                             income         income                                                                                    income         income
                                               Male-managed firms          Female-managed firms                                                              Male-managed firms      Female-managed firms




Source: Enterprise Surveys (various years).


                                                                                                                                                                                                                  3
    For instance, in Malaysia, the combined crime losses                                             – the so-called “female rm under-performance
and security expenses for a typical rm with a female top                                             hypothesis”. Possible explanations could be the relatively
manager and with a male top manager equals 6 percent                                                 small size of female-owned or -managed rms,
and 2.2 percent, respectively. e gender-based gap in the                                             discrimination that women often face in access to nance
comparator countries is much smaller where the                                                       and public infrastructure facilities, social norms and laws
corresponding gures (for rms with a female or male top                                               that often favor men over women, and providing care at
manager, respectively) are 1.4 percent and 1.8 percent in                                            home that is largely borne by women. However, most of
the EAP region, 2.2 percent and 2.1 percent in the                                                   this literature focuses on developed rich countries (see
upper-middle-income group, and 4.1 percent and 3.9                                                   Robb and Wolken 2002, Sabarwal and Terrell 2008).
percent in the lower-middle-income group.                   e                                                e ES shows that in the case of Malaysia, labor
qualitative nature of the results discussed in this paragraph                                        productivity as de ned by annual sales per worker is much
does not change when accounting for di erences in basic                                              higher for rms with a female rather than a male top
 rm characteristics.                                                                                 manager (USD 17,965 and USD 12,369, respectively;
                                                                                                     median values).         is holds despite the fact that
    A comprehensive measure of credit-constrained rms
                                                                                                     female-managed rms face a more di cult business
that factors in why rms do not apply for loans shows that
                                                                                                     environment in several ways (discussed above), suggesting
 rms with a female top manager tend to face greater
                                                                                                     that other factors that a ect productivity dominate.
di culties in obtaining nance in Malaysia. About 47
                                                                                                     However, this productivity gap is not signi cant, and is
percent of rms with a female top manager in Malaysia are                                             driven largely by the retail sector. ese ndings hold even
credit constrained (partially or fully), compared with a                                             after accounting for di erences in basic                 rm
much lower 36 percent of rms with a male top manager.                                                characteristics.
While the di erence is large, it is not signi cant. In                                                   Higher productivity among rms with a female top
contrast, there is almost no di erence in the proportion of                                          manager is observed in the individual sectors ( gure 5B).
 rms with a female rather than male top manager that are                                                e productivity di erence is large and signi cant for
credit constrained among upper middle income or lower                                                retail rms, and this holds even after accounting for
middle-income groups. For the EAP region, the                                                        di erences in basic rm characteristics. For the
proportion is lower among rms with a female rather than                                              manufacturing sector and the other services sectors, the
male top manager (33 percent vs. 38 percent,                                                         productivity gap is noticeable but not signi cant; even
respectively), although not signi cantly so. e qualitative                                           quantitatively, it becomes much smaller when accounting
nature of the results in this paragraph is una ected when                                            for di erences in basic rm characteristics.
accounting for di erences in basic rm characteristics.                                                   In the EAP region, the productivity level is roughly
                                                                                                     the same for rms with a female or a male top manager. In
Labor productivity is higher for firms with a                                                        the upper- and lower-middle-income countries, the
female top manager, a result largely driven by                                                       productivity level is somewhat lower for rms with a
                                                                                                     female top manager ( gure 5A).              ese productivity
retail-sector firms
                                                                                                     di erences in the comparator groups are not signi cant.
   Studies comparing the productivity of female- vs.                                                 Results discussed here for the comparator groups are
male-owned or -managed rms seem to suggest that                                                      qualitatively unchanged even after accounting for
productivity is lower for rms with a female top manager                                              di erences in basic rm characteristics.


    Figure 5                         Female-managed firms have higher productivity than male-managed firms in the retail sector
                                     in Malaysia
                                                         Figure 5A                                                                                     Figure 5B
                                                                                                                            25                          22.7
                              40
                                                                         34.8
                                                                                                  Annual sales per worker




                              35                                                                                            20
    Annual sales per worker




                                                                                                   ('000 USD, median)




                                                                 29.7
     ('000 USD, median)




                              30                                                                                                                                  15.2          15.2
                              25                                                                                            15    13.0
                                                                                                                                           11.7                                        12.1
                              20   18.0
                                                                                           16.2
                                                                                   14.6                                     10
                              15          12.4    12.3 12.3

                              10                                                                                             5
                              5
                              0                                                                                              0
                                    Malaysia          EAP       Upper-middle     Lower-middle                                    Manufacturing                Retail          Other services
                                                                  income           income

                                           Female top manager           Male top manager                                                 Female top manager              Male top manager



Source: Enterprise Surveys (various years).


4
Conclusion                                                                References
     Over a quarter of all rms in Malaysia have a female                  Amin, Mohammad and Asif Islam (2016), “Women Managers and
top manager.       e tendency of having a female top                            e Gender-Based Gap in Access to Education: Evidence from
                                                                             Firm-Level Data in Developing Countries”, Feminist Economics
manager in Malaysia is particularly high among large                         22(3): 127-153.
  rms, exporting rms, and rms in the retail sector. ere                   Amin, Mohammad and Asif Islam (2014), “Are ere More Female
is no evidence that rms with a female top manager are                        Managers in the Retail Sector? Evidence from Survey Data in
less productive than rms with a male top manager; in                         Developing Countries,” Journal of Applied Economics 17(2):
                                                                             213-228.
fact, the opposite result holds and is largely driven by the
                                                                          Blau, Francine D., and Lawrence M. Kahn (2003), "Understanding
retail sector. One worrisome feature is that across many                     the International Di erence in the Gender Pay Gap," Journal of
important dimensions of the business environment, such                       Labor Economics, 21(1) 106-144.
as regulatory burden, corruption, and crime and security,                 Elson, D. (1999), “Labor Markets as Gendered Institutions: Equality,
female top managers in Malaysia tend to work in rms                          E ciency and Empowerment Issues”, World Development, 27(3):
                                                                             611-627.
that experience a more di cult business environment                       Hausmann, R., L. D. Tyson, and S. Zahidi (2006), e Global Gender
than rms with male top managers. Policy measures                             Gap Report 2006, World Economic Forum, Geneva, Switzerland.
aimed at improving the business environment faced by                      Hsieh, Chang-Tai, Erik Hurst, Charles I. Jones and Peter J. Klenow
  rms with female top managers may therefore be needed                       (2013), “ e Allocation of Talent and U.S. Economic Growth,”
                                                                             NBER Working Paper No. 18693.
to maximize the contribution of females as top managers.
                                                                          Rendall, Michelle (2012), “Structural Change in Developing
                                                                             Countries: Has it Decreased Gender Inequality?” World
Notes                                                                        Development, 45:1-16.
                                                                          Robb A., and J. Wolken (2002), “Firm, Owner and Financing
1. Enterprise Surveys are designed to be representative of the               Characteristics: Di erences between Male and Female-owned
   non-agricultural and non- nancial formal (registered) private             Small Businesses,” Working Paper, Federal Reserve Board of
   sector of the economy. Note that the survey does not cover rms            Governors.
   with less than ve employees or those in the informal sector. e         Sabarwal, Shwetlana and Katherine Terrell (2008), “Does Gender
   surveys are strati ed by rm-size (small, medium, and large),              Matter for Firm Performance? Evidence from Eastern Europe and
   sector, and location within the country.       e surveys follow a         Central Asia,” IZA Discussion Paper Series No. 3758.
   common sampling methodology and a common questionnaire,                World Bank (2011), Gender Equality and Development, World
   allowing for cross-country comparability. More information on the         Development Report 2012, World Bank, Washington DC.
   surveys and the raw data can be obtained from
   www.enterprisesurveys.org.
2.    e EAP region comprises the six large economies in the region for
   which data are available.     ese are Cambodia, Indonesia, Lao
   PDR, the Philippines, ailand, and Vietnam. e EAP regional
   averages exclude Malaysia.
3.    e upper-middle-income and lower-middle-income classi cation
   follows the World Bank, excluding Malaysia and countries already
   included in the EAP comparator group. ere are 45 countries in
   the lower-middle-income group and 41 in the upper-middle-
   income group. Due care is taken to ensure that the results discussed
   for the various comparator groups are not unduly a ected by
   outlier countries.
4. Gender parity in tertiary education is de ned as the ratio of gross
   enrollment rate in tertiary education for women to men. Data
   source is WDI, World Bank and for the years covered by the ES.




     e Enterprise Note Series presents short research reports to encourage the exchange of ideas on business environment
  issues. e notes present evidence on the relationship between government policies and the ability of businesses to create
  wealth. e notes carry the names of the authors and should be cited accordingly. e ndings, interpretations, and
  conclusions expressed in this note are entirely those of the authors. ey do not necessarily represent the views of the
  International Bank for Reconstruction and Development/World Bank and its a liated organizations, or those of the
  Executive Directors of the World Bank or the governments they represent.



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