THE OPPORTUNITIES AND CHALLENGES FOR FEMALE LABOR FORCE PARTICIPATION IN MOROCCO - Yuko Morikawa

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THE OPPORTUNITIES AND CHALLENGES FOR FEMALE LABOR FORCE PARTICIPATION IN MOROCCO - Yuko Morikawa
GLOBAL ECONOMY & DEVELOPMENT
                  WORKING PAPER 86 | JULY 2015

THE OPPORTUNITIES AND
CHALLENGES FOR FEMALE LABOR
FORCE PARTICIPATION IN MOROCCO

Yuko Morikawa
THE OPPORTUNITIES AND CHALLENGES FOR FEMALE LABOR FORCE PARTICIPATION IN MOROCCO - Yuko Morikawa
THE OPPORTUNITIES AND CHALLENGES FOR FEMALE LABOR FORCE PARTICIPATION IN MOROCCO - Yuko Morikawa
Yuko Morikawa, Japan International Cooperation
                                                            Agency (JICA)

Acknowledgements:
I would like to express my appreciation to the Ministry of Economy and Finance of Morocco, the Brookings
Institution and the Japan International Cooperation Agency (JICA) for their support in writing this paper. I would
also like to thank Hafez Ghanem, Mayyada Abu Jaber, and Marc Shifbauer for providing valuable advice and
comments to earlier drafts of the paper. I would also like to extend my appreciation to Akihiko Koenuma, Shinichi
Yamanaka and Misaki Kimura for their invaluable assistance. The views expressed in the paper and any errors
are those of the author and represent neither the official position of JICA, nor the Brookings Institution.

Brookings recognizes that the value it provides is in its absolute commitment to quality, independence and im-
pact. Activities supported by its donors reflect this commitment and the analysis and recommendations are not
determined or influenced by any donation.
THE OPPORTUNITIES AND CHALLENGES FOR FEMALE LABOR FORCE PARTICIPATION IN MOROCCO - Yuko Morikawa
CONTENTS

Introduction: Economic development and female labor force participation (FLFP). .  .  .  .  .  .  .  .  .  .  .  .  . 1

Social institutions and FLFP . .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 5

Supply-side factors and FLFP. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 6

Demand-side factors and FLFP. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 24

Conclusion. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 39

Bibliography. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 40

Endnotes. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 43

LIST OF FIGURES

Figure 1: Female Labor Force Participation Rate, 2002 and 2012 (Percent). .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 2

Figure 2: Comparison of Female Labor Force Participation Across Countries, 1980 and 2010. .  .  . 3

Figure 3: Female Labor Force Participation Across Countries, 2010 . .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 4

Figure 4: Proportion of inactive, Unemployed and Employed Population. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 7

Figure 5: Proportion of Inactive, Unemployed and Employed Population Among Youth
and Older Age Males. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 8

Figure 6: Proportion of Inactive, Unemployed and Employed Population Among Youth
and Older Age Females. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 8

Figure 7: Net Enrollment Rate, Primary Education (Percent). .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 9

Figure 8: Net Enrollment Rate, Lower Secondary Education (Percent). .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 9

Figure 9: Labor Force Participation Status Among Youth (aged 15 to 29)
Who Are Not in School . .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 11

Figure 10: Share of Youth Who Are Not in School and Who Are Out of the Labor Force. .  .  .  .  .  .  .  . 11

Figure 11: Type of Job in Morocco by Area . .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 12

Figure 12: Unemployment Rate in Morocco by Area. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 12

Figure 13: Reason for Not Expecting/Willing to Work Among Young Urban Females
(aged 15 to 29) in Morocco. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 13

Figure 14: Comparison of Reasons for Not Expecting/Willing to Work Among Urban
Females by Education Level. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 14
Figure 15: Reason Given by Moroccans Not Searching for Work. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 15

Figure 16: Reason Given by Young Females for Not Searching for a Job in Urban Morocco. .  .  .  . 16

Figure 17: Reason for Not Searching for a Job Among All Urban Females. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 16

Figure 18: Unemployment Rates in Morocco by Education Level (Percent) . .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 17

Figure 19: Job Preference Among Urban Youth in Morocco. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 18

Figure 20: Reason for Preference for Salaried Employment Among Urban Youth in Morocco . .  .  . 18

Figure 21: When Jobs Are Scarce, Men Should Have More Right to a Job Than Women. .  .  .  .  .  .  .  . 19

Figure 22: Having a Job Is the Best Way for a Woman to Be an Independent Person. .  .  .  .  .  .  .  .  . 20

Figure 23: When a Mother Works for Pay, the Children Suffer. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 21

Figure 24: Being a Housewife Is Just as Fulling as Working for Pay. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 21

Figure 25: University Education is More Important for a Boy than for a Girl. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 22

Figure 26: On the Whole, Men Make Better Business Executives than Women Do. .  .  .  .  .  .  .  .  .  .  .  . 22

Figure 27: Sector and Profession, Urban Males. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 25

Figure 28: Sector and Profession, Urban Females. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 25

Figure 29: Growth Decomposition into Productivity, Employment and
Working Age Population (2006–2010). .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 28

Figure 30: Proportion of Permanent Full-Time Workers that Are Female in
Manufacturing Firms in Morocco (Percent) . .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 29

Figure 31: Size of Turnover and Export. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 34

Figure 32: Female Employee Ratio. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 35

Figure 33: Productivity and Cost per Employee . .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 35

Figure 34: Ratio of Exporting Companies (Size of Turnover). .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 36

Figure 35: Business Size: Average Turnover per Company. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 37

Figure 36: Average Number of Employees per Company . .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 37

Figure 37: Ratio of Male and Female Employees in Exporting /Non-Exporting Companies . .  .  .  . 38
LIST OF TABLES

Table 1: Profile of Necessary New Positions for 2009–2015. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 30

Table 2: Midterm Job Creation Results in the Six Strategic Sectors . .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 31

Table 3: Midterm Results for Exports in the Six Strategic Sectors. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 31
THE OPPORTUNITIES AND CHALLENGES FOR
FEMALE LABOR FORCE PARTICIPATION IN MOROCCO
Yuko Morikawa

INTRODUCTION: ECONOMIC                                         velopment. Seguino6 makes a rather provocative claim

DEVELOPMENT AND FEMALE                                         that, in semi-industrialized economies, gender inequality

LABOR FORCE PARTICIPATION                                      actually promotes economic growth through enhanced
                                                               investment. Here, gender inequality concerns the wage
In the Middle East and North Africa (MENA) region,
                                                               levels between women and men, translated into higher
women remain untapped resources comprising 49 per-
                                                               profitability on investments using low-wage female la-
cent of the total population, including more than half
                                                               bor. Although similar arguments are made by Ertürk
of the university students in some countries, and yet
                                                               and Cagata,7 Schober8 makes a counterargument that
make up just 28 percent of the labor force (WB 2004).
                                                               gender inequality in wages is not related to higher eco-
Morocco is no exception; women make up 50 percent
of the population,1 47 percent of the tertiary education       nomic growth. Rather, the impact of gender inequality

enrollment,2 but only 26 percent of the labor force.3          is negative for growth. In these attempts to explain the

Furthermore, the female labor force participation (FLFP)       relationship between economic development and gender

rate in Morocco declined from 30 percent to 26 percent         equality, it is important to distinguish the two directions of

between 1999 and 2010.4 Indeed, the FLFP rate in the           causality: whether economic development brings about

MENA region is the lowest in the world (Figure 1). It is       gender equality, or gender equality brings about eco-

important to understand the mechanisms behind this             nomic development. According to Duflo,9 although we

low female participation rate, as higher FLFP rates            find supporting evidence for both directions of causality,
could lead to higher economic growth in the region. For        we need to consider policy options, acknowledging nei-
instance, according to a report by the World Bank, if  5       ther economic development nor women’s empowerment
FLFP rates were increased to predicted levels calcu-           is “the magic bullet” to realizing economic development
lated from various demographic and economic factors,           and gender equality.10
average household earnings would increase by 25 per-
cent, which would allow many of those households to            In a recent report by the IMF,11 a U-shaped relation-
achieve middle-class status (World Bank 2004).                 ship between GDP per capita and FLFP rated across
                                                               countries has been shown. Comparing the datasets
Many researchers have conducted studies on the rela-           for 1980 and 2010, we also find that the average FLFP
tionship between gender inequality and economic de-            rate shifted upward over the period.

The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                             1
Figure 1: Female Labor Force Participation Rate, 2002 and 2012 (Percent)
    80
                                                                                                       2002      2012

    70

    60

    50

    40

    30

    20

    10

     0
          ages     ages      ages      ages     ages      ages     ages     ages    ages      ages     ages    ages
         15–24    15–64     15–24     15–64    15–24     15–64    15–24    15–64   15–24     15–64    15–24   15–64
             East Asia            South            Europe &        Latin America     Middle East       Sub-Saharan
             & Pacific             Asia           Central Asia     & Caribbean      & North Africa        Africa

    Source: World Bank, World Development Indicator.

    When we look at the same graph in 2010 while                 World Bank data (2004) indicates that the prevail-
    showing the name of some MENA countries, it is               ing pattern of economic development in MENA—
    clear that these countries are not in line with the          namely a large proportion of public sector jobs,
    dominant U-shape relationship of FLFP rate and               strong government controls, and inward-looking
    GDP per capita, but remain at the bottom of the              trade policies—has kept the FLFP rate low in the
    U-shape because of low FLFP rates. This seems to             region. Comparing MENA and East Asia, Klasen et
    indicate the opportunity cost that these MENA coun-          al.12 claim that gender gaps in employment explain a
    tries are paying by not fully utilizing the potential of     larger share of the growth differences between these
    female labor (see Figure 3).                                 two regions, suggesting that MENA countries are
                                                                 held back by their low FLFP rates.

2   GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
Figure 2: Comparison of Female Labor Force Participation Across Countries, 1980 and 2010

 Female labor force participation varies with income,              ...with cross sectional points shifting upwards
 with evidence pointing to a U-shaped relationship...                                 over time.

Source: IMF, Women, Work and the Economy.

So why is the FLFP rate so low in Morocco and                  factors on FLFP, including both macro-level analysis
other MENA countries? What is necessary to                     focusing on aggregated demand, represented by the
achieve higher female labor participation? Drawing             unemployment rate, and micro-level analysis on de-
on existing literature and statistics, this paper ex-          mand from firms or other employers. Building upon
amines three approaches to understanding FLFP                  the analysis, the paper proposes policy measures
in Morocco. The first approach considers the role              to enhance female participation in the Moroccan la-
played by social institutions, such as the legal frame-        bor market. Since FLFP rates differ greatly between
work.   13
             The second approach explores supply-side          urban and rural areas, and rural women are mainly
factors, such as sociocultural norms and demo-                 engaged in agricultural activities, this paper focuses
graphic and household-related characteristics. The 14
                                                               on urban women.
third approach assesses the impact of demand-side

The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                     3
Figure 3: Female Labor Force Participation Across Countries, 2010

                                                   100

                                                    90

                                                    80
    female labor force participation, in percent

                                                    70

                                                    60

                                                    50

                                                    40

                                                                                                                                    Turkey
                                                    30                                                 Morocco         Tunisia
                                                                                                                                             Oman

                                                    20                                            Egypt                          Lebanon
                                                                                                                                             Saudi Arabia
                                                                                                        Iraq              Algeria
                                                    10                                                           Jordan

                                                     0
                                                         4           5              6             7                8                  9       10            11   12

                                                                                         log of GDP per capita in constant 2000 in USD

                                                   Source: World Development Indicators, World Bank.

4                                                  GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
SOCIAL INSTITUTIONS AND FLFP                                   ranked 43rd among over 100 non-OECD countries,
                                                               the second-highest ranking for a MENA country after
The World Bank’s report Women, Business and the
                                                               Tunisia. In fact, significant reforms to the Moroccan
Law 2014 indicates that the MENA region had the
                                                               family law “Moudawana” in 2004 led to a rise in the
second-highest proportion of legal restrictions on
                                                               minimum marriage age for women from 15 to 18,
women in 1960 and the highest proportion today, 15
                                                               placed a family under the joint responsibility of both
which might partly explain the low participation of
                                                               spouses, and eliminated a woman’s legal obligation
women in MENA societies. For example, a husband’s
                                                               to obey her husband.19 However, there remain issues
unilateral right of divorce and a wife’s legal obligation
                                                               regarding enforcement, as some judges have circum-
to obey her husband may create an additional barrier
                                                               vented the law, while others are still unfamiliar with
to women’s entry into the labor force.16 At the same
                                                               the amendments.20 In 2012, roughly 10 percent of the
time, Rauch and Kostyshak17 note that MENA’s Arab
                                                               marriages recorded in Morocco involved a girl under
countries have laws that prohibit labor discrimination
                                                               the age of 18, permitted under articles 20 and 21 of
in the workplace, arguing that the lower level of FLFP
                                                               “Moudawana,” which allow family judges to autho-
has to stem from de facto discrimination rather than
                                                               rize the marriage of minors. Even though the articles
from de jure discrimination. This seems to be espe-
                                                               require well-substantiated arguments to justify such
cially applicable to Morocco. Branisa et al. 18 calcu-
                                                               marriages, more than 90 percent of requests are au-
late the social institution and gender index (SIGI) by
                                                               thorized.21 By removing legal restrictions on women,
considering a country’s family code, civil liberties, the
                                                               including those that are implicit, the society would be
physical integrity of citizens, traditional preferences
                                                               better prepared for working women.
for male offspring, and ownership rights. Morocco is

The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                      5
SUPPLY-SIDE FACTORS                                                        their female members to work. According to a World

    AND FLFP                                                                   Bank report on Yemen published in 2014,29 unmarried
                                                                               women in urban areas are more likely to participate in

    Literature review                                                          the workforce than married women or women in rural
                                                                               areas. This suggests that norms about women’s role
    A m o n g s u p p l y - s i d e f a c t o r s i m p a c t i n g F L F P,
                                                                               outside the home may be more strictly enforced after
    H’madoun22 indicates that religion is a key determinant,
                                                                               marriage and in more conservative, rural societies. In
    with Muslim and Hindu women having a significantly
                                                                               Morocco’s case, Taamouti and Ziroili30 examine the
    lower participation rate than those of different religious
                                                                               relationship between individual factors and FLFP, con-
    backgrounds. The question of religion was further in-
                                                                               cluding that for urban women, education is the main
    vestigated by Hayo and Caris,23 who concluded that
                                                                               determinant of labor market participation.
    traditional identity and its perception of family roles
    was a more meaningful explanation than religious
    identity. Carvalho24 points out peer effects, proposing
                                                                               Major labor indicators in Morocco
    a model of social influence in which agents care about
                                                                               According to official figures published by the Moroccan
    the opinions of other members of their community. In
                                                                               High Commission of Planning (HCP), the proportion
    Amman, Jordan, Chamlou et al.25 find that traditional
                                                                               of the employed, unemployed and inactive popula-
    social norms, measured by the attitude of household
                                                                               tions shows variation depending on sex and region. As
    members toward working women, reduce female labor
                                                                               shown in Figure 4, a large percentage of women, es-
    participation. As for Morocco, the World Bank26 reports
                                                                               pecially in urban areas, are categorized as “inactive,”
    that more than 30 percent of young women face ob-
                                                                               which includes students going to school and those who
    stacles to working because their husband will not allow
                                                                               are out of school and not working. Unemployment here
    it, and 23 percent claim that their parents will not. Also,
                                                                               is defined as those who are unemployed and looking
    11 percent of them point to social norms as obstacles.
                                                                               for a job. The proportion of unemployed is in general
    These figures imply that sociocultural norms are one of
                                                                               very low, while it is practically zero for rural women. It
    the strong determinants of young female labor partici-
                                                                               is important to note that in these figures, employment
    pation in Morocco.
                                                                               is defined in its larger sense including part-time and
                                                                               irregular jobs. Even with this broad definition, only 10
    With regard to demographic and household-related
                                                                               percent of urban women are working. Considering re-
    factors, Chamlou et al.27 argue that women with post-
                                                                               cent developments in secondary education for urban
    secondary education are more likely to participate,
                                                                               girls, this figure remains quite low.
    based on the data collected in Amman. In the case of
    Pakistan, Kiani28 shows that education and household
                                                                               The HCP data reveal a number of challenges:
    expenditures have positive but insignificant impacts
    on FLFP, whereas household income has a negative
                                                                               Youth are disproportionately unemployed. The un-
    impact. Here, higher expenditure has a positive impact
                                                                               employment rate for youth aged 15 to 24 is more than
    as female members would be expected to contribute
                                                                               double (19.3 percent) the national level (9.2 percent).
    financially in order to afford the necessary expendi-
                                                                               This is important given the youth made up almost 20
    ture, while household income has a negative impact
                                                                               percent of the total population in 2010.31 According to
    because high-income households have less need for

6   GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
Figure 4: Proportion of Inactive, Unemployed, and Employed Population

100%

90%

80%

70%

60%

50%

40%

30%

20%

10%

 0%
               total               urban male              rural male            urban female            rural female

 Source: HCP (2013), Activity, Employment and unemployment                         inactive       unemployed      employed

 World Bank estimates, youth aged 15 to 29 make up              percent of the older age group is actively working com-
 30 percent of the total population and 40 percent of the       pared to 54 percent of the younger group.
 active population (between ages 15 and 64).    32

                                                                The gap looks smaller with regard to females, since
 There is a big gap between youth and the older                 the proportion of active women is much lower among
 population in their engagement with the labor                  them. As for urban women, 6 percent of youth are em-
 market, especially for men. Comparing young urban              ployed, compared to 16 percent among the older age
 males (aged 15–24) and older urban males (aged 25              group. The proportion of active rural women is gener-
 and older), more than 70 percent of older males are            ally higher than urban women, as they are engaged in
 working, while only 24 percent of their young peers            family agricultural activities.
 are. A similar gap also exists in rural areas, where 85

 The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                         7
Figure 5: Proportion of Inactive, Unemployed, and Employed Population Among Youth and Older
     Age Males

    100%

    90%

    80%

    70%

    60%

    50%

    40%

    30%

    20%

    10%

     0%

                urban male                   urban male             rural male               rural male
               Youth (15–24)                 Older (25+)          Youth (15–24)              Older (25+)

     Source: HCP (2013), Activity, Employment and Unemployment.             inactive   unemployed      employed

     Figure 6: Proportion of Inactive, Unemployed, and Employed Population Among Youth and
     Older Age Females

    100%

    90%

    80%

    70%

    60%

    50%

    40%

    30%

    20%

    10%

     0%

                urban female                 urban female          rural female              rural female
                Youth (15-24)                 Older (25+)         Youth (15-24)              Older (25+)

     Source: HCP (2013), Activity, Employment and Unemployment.             inactive   unemployed      employed

8    GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
Girls are enrolled in lower secondary education as             urban and rural areas regarding enrollment in lower
much as boys in urban areas, but there remains a               secondary education. As shown in Figure 8, the net en-
gap between urban and rural areas. As for primary              rollment rate in lower secondary education is around 80
education enrollment rate, Morocco has made great              percent for urban boys as well as urban girls, while the
progress, especially among rural girls. As shown in            rate is much lower at 34 percent for rural boys and even
Figure 7, the net enrollment rate for primary education        lower (26 percent) for rural girls. In terms of urban resi-
reached more than 95 percent across all categories by          dents, we see that educational attainment up to lower
2012. However, a sharp contrast shows up between               secondary education is almost equal for boys and girls.

Figure 7: Net Enrollment Rate, Primary Education (Percent)
105

100

 95

 90

 85

 80

 75
          2008/2009                2009/2010              2010/2011               2011/2012                   2012/2013

Source: Moroccan Ministry of National Education.            urban female      urban male       rural female        rural male

Figure 8: Net Enrollment Rate, Lower Secondary Education (Percent)

90

80

70

60

50

40

30

20

10

 0
         2008/2009               2009/2010               2010/2011               2011/2012                2012/2013

Source: Moroccan Ministry of National Education.            urban female      urban male       rural female        rural male

The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                             9
Opportunity cost of low FLFP. As the government and            their circumstances.35 I will first review findings from
     families are investing in education and girls’ educational     the survey presented in the report with regard to youth
     attainment, there is a huge opportunity cost if educated       labor participation, and then analyze urban female de-
     women work much less than their male peers. In addition,       cision-making regarding labor participation. Finally, this
     according to an OECD report, boys perform better than
                                     33
                                                                    section concludes with some policy recommendations
     girls in mathematics in only 37 out of the 65 countries and    to enhance urban female labor participation.
     economies that participated in PISA 2012, and between
     2000 and 2012 the gender gap in reading performance—
     favoring girls—widened in 11 countries. The results indi-      Review of the findings from the
     cate that both boys and girls in all countries can succeed     World Bank report
     in all three subjects tested by PISA, highlighting the cost    This part reviews some of the important findings
     that MENA societies including Morocco are paying by not        from the World Bank survey report with regard to
     fully realizing the potential of educated females.             youth labor participation.

                                                                    Young females are even more discouraged than
     Realities faced by Moroccan                                    young males in finding jobs. Figure 9 shows the
     young women, drawn from youth                                  proportion of the population employed, unemployed or
     survey data                                                    out of the labor force among youth aged 15 to 29 who
     As we saw in the literature review, there are several          are not enrolled in school. Looking at the population
     supply-side factors impacting female participation in          currently out of the labor force, a higher percentage of
     the labor market, such as social norms, education and          young females are demotivated (19 percent) in their
     household income. We focus here on data on the urban           search for work compared to young males (15.5 per-
     female population, which shows the lowest rate of labor        cent). While a majority (53.5 percent) is out of the labor
     force participation among categories and describes the         force because of family reasons or other constraints,
     realities in which they live. In particular, the data demon-
                                34
                                                                    almost 20 percent of urban young females are out of
     strates how, despite the higher educational achievement        the labor force because they are discouraged.
     women are now enjoying, traditional norms are playing
     a role in decision-making, and what changes might en-          Non-participation among young females declines
     hance their participation in the labor market. It is impor-    with higher education. Figure 10 shows that higher
     tant to establish career paths for educated young women        educational attainment leads to higher participation in
     that conform to social norms in order to promote further       the labor force among women. The share of youth not
     educational attainment for girls. If higher education fails    in school and who are not participating in the labor mar-
     to lead to higher returns through employment, rational         ket decreases from 93 percent among those who have
     calculation would discourage people from investing more        completed primary education, to 81 percent for those
     in education.                                                  with lower secondary education, and to 62 percent for
                                                                    those with secondary education. With tertiary educa-
     The World Bank conducted a household and youth sur-            tion, only 37 percent of young females are out of the
     vey in 2009–2010, for which data was collected from            labor force. Comparing this big drop among females
     2,883 young people aged 15 to 29 to better understand          to that of males, the share of non-participating youth

10   GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
Figure 9: Labor Force Participation Status Among Youth (aged 15 to 29) Who Are Not in School

100%

 80%

 60%

 40%

 20%

  0%
                              All              Urban            Rural            All          Urban            Rural

          National                             Male                                           Female

         Out of labor force—family reasons, other      Out of Labor force—demotivated     Unemployed     Employed

 Source: World Bank, 2010, MHYS 2009–2010.

 Figure 10: Share of Youth Who Are Not in School and Who Are Out of the Labor Force

100%

80%

60%

40%

20%

 0%
             None       Primary       Lower Secondary     Tertiary      None   Primary     Lower Secondary    Tertiary
                                    secondary                                            secondary

 Source: Morocco Household and Youth Survey 2009-2010.                                                 male         female

 The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                         11
among males is relatively stable ranging between 20           security. Figure 11 shows that the share of employment
      and 27 percent for all education levels. Young women          without contracts is overwhelmingly high for rural ar-
      who have completed higher education have a higher             eas (almost 100 percent for women and 94 percent for
      probability of participating in the labor market.             men), as well as for urban men (86 percent). However,
                                                                    the share is much lower—around 60 percent—for urban
      Informal employment is widespread, but not among              women, while 40 percent of them are working with con-
      urban young females. Youth tend to be engaged in              tracts. Thus, the informality of employment may be a fac-
      informal employment with neither contracts, nor social        tor impacting urban female labor force participation.

      Figure 11: Type of Job in Morocco by Area                                                   with contract       no contract

     100%

     80%

     60%

     40%

     20%

      0%
                        Rural                       Urban                       Rural                        Urban
                                    Female                                                     Male

      Source: World Bank, 2010, MHYS 2009–2010.

      Figure 12: Unemployment Rate in Morocco by Area
      60%

      40%

      20%

       0%
                       All              Urban               Rural             All              Urban                 Rural

      Source: Morocco Household and Youth Survey 2009-2010.                                                   male           female

12    GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
Urban female youth and labor                                   We saw previously that the non-participation rate
participation                                                  decreased with higher education levels for young

Using the same World Bank data, this section analyzes          women. There could be multiple factors explaining

urban female decision-making on labor participation            this decrease. Given more than 45 percent of urban

and non-participation.                                         females indicated family opposition as a reason for
                                                               non-participation, we can expect that family opposition

Social norms are a strong reason for not partici-              becomes less dominant when female family members

pating. Figure 13 shows the reasons given by young             are more educated. However, looking at the reason

females who are either currently in school but not ex-         for not expecting or willing to work by education level

pecting to work afterwards, or already out of school           (Figure 14), we see similar results for different educa-

and not willing to work. Family opposition constitutes         tion levels, with some variation. Family opposition re-

more than 45 percent, while 30 percent of respondents          mains a major reason in each education level, while for

said they are busy at home.                                    those with a lower secondary education, the opposition
                                                               seems to come mainly from male spouses. However,
                                                               this interpretation should be treated carefully, as the
                                                               number of observations for those with a lower second-
Figure 13: Reason for Not Expecting/Willing                    ary education is limited to 28 percent, while the number
to Work Among Young Urban Females (aged                        is 68 percent for those without primary education and
15 to 29) in Morocco                                           78 percent for those with primary education.

                                                               Social norms become less dominant among urban
                                                               females with higher education, but they might be
                                                               busier at home. Assuming that family opposition is
                                                               related to societal norms, we can consider family op-
                                                               position, religious reasons and social norms as one
                                                               category representing sociocultural norms. The share
                                                               of this category among reasons declines with higher
                                                               education. The share is 61 percent for those without
                                                               a primary education, 52 percent for those with a pri-
                                                               mary education, and 46 percent for those with a lower
                                                               secondary education. Interestingly, the “busy at home”
   1
    2.25% parents won’t           3.2% husband won’t
                                  3
   allow                          allow                        reason constitutes 26 percent for females with the
   0.395% religious reasons       7.905% social norms         lowest education level, 31 percent for those with a pri-
    .79% do not need to
   0                              1.581% I have no            mary education, and 39 percent for those with a lower
   work as family is well off      appropriate skills to
                                   find work
                                                               secondary education. It is impossible to draw a conclu-
   5
    .534% work is not fun. I
   do not like working            30.43% busy at home         sion from the existing data as the number of observa-

   2
    .372% I am unable to         5.534% other specify        tion is limited. However, we might be able to interpret
   find a job                                                  this result as an expression of transitional status that
                                                               those educated women are facing, between a growing
Source: World Bank, 2010 and MHYS 2009–2010.

The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                       13
Figure 14: Comparison of Reasons for Not Expecting/Willing to Work Among Urban Females by
     Education Level

         Without primary education                   With primary education                  With lower-secondary education

        p
         arents won’t allow                      I am unable to find a job                  do not need to work as family is
                                                                                               well off
        s ocial norms                            husband won’t allow
                                                                                              busy at home
        w
         ork is not fun. I do not like working   I have no appropriate skills to
                                                   find work                                  other specify

     Source: World Bank, 2010 and MHYS 2009–2010.

     expectation for them to contribute financially through            there are no jobs so they are not searching for a job,
     work and ongoing sociocultural barriers keeping them              while less than 14 percent are tired of looking for a job.
     at home, as indicated in Figure 2.                                Among urban males, the perception is different; 40 per-
                                                                       cent believe that there are no jobs while more than 31
     The unemployed are particularly discouraged. By                   percent are getting out of the labor market because they
     surveying those urban women who are available for                 are tired of looking for a job. In each case, the number
     work but unemployed (defined as those who did not                 of people who think they do not have enough training or
     work in the last 7 days) and to all the participants who          education is relatively small, just 5.5 percent for urban
     are not searching for a job, the data tries to determine          females and 6.7 percent for urban males, probably re-
     why these groups are not searching for work. Among                flecting their perception that they should be able to find a
     unemployed youth, the main reason why they are not                job based on their existing training or education.
     searching for a job is that they believe there are no jobs.
     The data show a difference between women and men                  Education and job searching are related among
     who believe there are no jobs and those who are tired             urban female students, while the unemployment
     of looking for work, which is the second-biggest reason           rate is high among secondary and tertiary educa-
     for both genders. Among urban females, a majority of              tion graduates. When all participants, regardless of
     the unemployed (55 percent) indicated that they believe           their current status, are asked the reason why they

14   GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
Figure 15: Reason Given by Moroccans Not Searching for Work

                       Urban males                                                    Urban females

   believe there are no jobs                family responsibilities                    no time to search
   d
    o not know an effective way to look    lack of personal contacts                  opposition by a family member
   for a job
                                            I do not need to work                      already found work which will
   w
    aiting for government/public sector                                                start later
                                            tired of looking for work
   recruitment
                                                                                       other (specify)
                                            employers prefer to recruit women
   d
    o not have enough training or
   education                                no suitable jobs

Source: World Bank, 2010 and MHYS 2009–2010.

are not searching for work, the main reason among               training or education might imply they expect that get-
urban females was that they do not have enough train-           ting more training or education will better prepare them
ing or education (30 percent), as shown in Figure 16.           for future job searching. This corresponds to the drop
Considering the small portion of unemployed youth               in the non-participation rate for urban women who have
who indicated insufficient training or education as their       achieved higher educational attainment. However, in
primary reason for not searching for work, this larger          Morocco, higher education does not necessarily lead
share among all participants can be explained by the            to a higher employment rate even in urban areas.
larger presence of students among the sample (254               Figure 18 shows that the unemployment rate is higher
students out of a total of 595 responses by urban fe-           for those with secondary education (27 percent for
males). Thus, when we subdivide into students and               women and 17 percent for men) compared to those
non-students (Figure 17), we find that urban young              with a primary education (20 percent for women and
women who are out of school do not suggest insuf-               13 percent for men). Even among those with a tertiary
ficient training or education is the reason why they are        education, the unemployment rate remains high at 26
not searching for a job. Rather, they are facing fam-           percent for females and 12 percent for males. Although
ily responsibilities or family opposition to their search       participation in the labor market is greater among
for work. At the same time, a high percentage of the            those who have completed higher education, employ-
students who answered that they do not have enough              ment is far from guaranteed.

The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                        15
Figure 16: Reason Given by Young Females for Not Searching for a Job in Urban Morocco

                                                                                                                                                                 8
                                                                                                                                                                  .91% believe there are                                                                                  1.51% no time to search
                                                                                                                                                                 no jobs
                                                                                                                                                                                                                                                                            .84% health conditions do
                                                                                                                                                                                                                                                                           0
                                                                                                                                                                 0
                                                                                                                                                                  .50% tired of looking for work                                                                          not allow
                                                                                                                                                                 0
                                                                                                                                                                  .34% employers prefer to                                                                                13.95% family responsibilities
                                                                                                                                                                 recruit men
                                                                                                                                                                                                                                                                            3.11% opposition by a
                                                                                                                                                                                                                                                                           1
                                                                                                                                                                 2
                                                                                                                                                                  .02% do not know an                                                                                     family member
                                                                                                                                                                 effective way to look for a job
                                                                                                                                                                                                                                                                          0
                                                                                                                                                                                                                                                                           .00% lack of personal contacts
                                                                                                                                                                 0
                                                                                                                                                                  .17% employers prefer to
                                                                                                                                                                                                                                                                            .00% already found work
                                                                                                                                                                                                                                                                           0
                                                                                                                                                                 recruit women
                                                                                                                                                                                                                                                                           which will start later
                                                                                                                                                                 0
                                                                                                                                                                  .34% waiting for government/
                                                                                                                                                                                                                                                                           7.90% I do not need to work
                                                                                                                                                                 public sector recruitment
                                                                                                                                                                                                                                                                           0.17% waiting for migration
                                                                                                                                                                 1
                                                                                                                                                                  .51% no suitable jobs
                                                                                                                                                                                                                                                                           18.82% other
                                                                                                                                                                 2
                                                                                                                                                                  9.92% do not have enough
                                                                                                                                                                 training or education

     Source: World Bank, 2010, MHYS 2009–2010.

     Figure 17: Reason for Not Searching for a Job Among All Urban Females

     70%                                                                                                                                                                                                                                                                         Students                                     Non-students

     60%

     50%

     40%

     30%

     20%

     10%

      0%
           believe there are
                     no jobs

                               tired of looking
                                       for work

                                                  employers prefer to
                                                         recruit men
                                                                        do not know an
                                                                        effective way to
                                                                           look for a job
                                                                                            employers prefer to
                                                                                                recruit women

                                                                                                                           waiting for
                                                                                                                  government/ public
                                                                                                                   sector recruitment

                                                                                                                                         no suitable jobs

                                                                                                                                                                 do not have
                                                                                                                                                            enough training or
                                                                                                                                                                   education

                                                                                                                                                                                 no time to search

                                                                                                                                                                                                     health conditions
                                                                                                                                                                                                          do not allow

                                                                                                                                                                                                                                 family
                                                                                                                                                                                                                         responsibilities

                                                                                                                                                                                                                                            opposition by a
                                                                                                                                                                                                                                            family member

                                                                                                                                                                                                                                                              lack of personal
                                                                                                                                                                                                                                                                      contacts

                                                                                                                                                                                                                                                                                 already found work
                                                                                                                                                                                                                                                                                 which will start later

                                                                                                                                                                                                                                                                                                          I do not need to
                                                                                                                                                                                                                                                                                                                     work

                                                                                                                                                                                                                                                                                                                             waiting for
                                                                                                                                                                                                                                                                                                                              migration

                                                                                                                                                                                                                                                                                                                                           other

     Source: World Bank, 2010 and MHYS 2009–2010.

16   GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
Figure 18: Unemployment Rates in Morocco by Education Level (Percent)
30
                                                                                                 urban females    urban males

25

20

15

10

 5

 0
      without education            primary                secondary                   tertiary                   others

Source: Haut Commissariat au Plan, 2012. Activity, Employment, and Unemployment.

Public sector jobs are preferred for their stability by        Comparing responses among men and women, women
those with a higher education. As shown in Figure 19,          have a stronger preference for public salaried work,
in urban areas, females and males both prefer salaried         especially those with a secondary education or higher.
public sector jobs upon completion of higher education.        Indeed, 65 percent of urban females who, at a minimum,
Correspondingly, there is decreasing interest in salaried      have graduated from high school prefer to find work in
private sector jobs among higher educated females and          the public sector, while the percentage is only 50 percent
males, with 13 percent of lower secondary education fe-        for their urban male equivalents. The difference mainly
male graduates interested, 10 percent of high school or        shows up in the preference for independent work or self-
tertiary education female graduates interested, and 14         employment among individuals possessing more than a
percent and 11 percent interested, respectively, among         high school education, some 25 percent of urban females
males. The result implies that private salaried jobs are       and 38 percent of urban males. Among urban females,
less attractive for those with higher education, even          there seems to be a stronger preference for job security
though Morocco’s manufacturing sector is believed to           over greater independence as a worker. The reason for
have had some success in increasing female participa-          their preference for salaried work, both public and private,
tion in the salaried private sector. Quality and stable
                                    36
                                                               is largely explained by the greater security these jobs pro-
salaried jobs in the private sector need to be promoted        vide. Given the fact that the majority of respondents pre-
for those productive youth to be more engaged in pri-          ferring salaried work prefer public sector jobs, this means
vate sector development.                                       they find more job security in public sector employment.

The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                             17
Figure 19: Job Preference Among Urban Youth in Morocco

               Job preference among urban males                                  Job preference among urban females
     100                                                              100

      90                                                                90

      80                                                                80

      70                                                                70

      60                                                                60

      50                                                                50

      40                                                                40

      30                                                                30

      20                                                                20

      10                                                                10

       0                                                                    0
             total    less than    primary    lower-  secondary                 total      less than    primary    lower-  secondary
                       primary    education secondary education                             primary    education secondary education
                                            education and more                                                   education and more

                                                salaried (private sector)       salaried (public sector)        independent/self employed

      Source: World Bank, 2010, MHYS 2009–2010.

      Figure 20: Reason for Preference for Salaried Employment Among Urban Youth in Morocco

     80%

     70%                                                                                                   urban males        urban females

     60%

     50%

     40%

     30%

     20%

     10%

     0%
           Greater job     Less       Better work Better career Earn more       Better work       Access          Acquire         Others
            security   responsibility schedule     prospects    as salaried     environment      to social       experience
                                                                employee                       security and
                                                                                                 medical
                                                                                                insurance
      Source: World Bank, 2010, MHYS 2009–2010.

18    GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
Comparison of values                                            the statement “when jobs are scarce, men should have

To better understand the rationale behind the youth             more right to a job than women,” while a majority of

responses shown above, it is insightful to look at the          the sample in Chile disagreed, and almost half of the

values underlying Moroccan society. The World Value             sample in Japan answered “neither.” This would seem

Survey, which consists of nationally representative sur-        to confirm that a majority of people in Jordan, Morroco,

veys conducted in almost 100 countries and focuses on           and Malaysia believe that male employment should be

human beliefs and values, enables comparisons across            prioritized, perhaps as they think it is likely that men
countries by using a uniform questionnaire. The follow-         are the main income earners in a family.
ing section offers some comparisons between Morocco,
Jordan, Malaysia, Chile, and Japan. Jordan is chosen            Values around working women and housewives
as it shares similarities with Morocco, Malaysia is an          differ. When asked generally about the relationship
Asian Muslim majority37 country, Chile is an example of         between work and women, respondents in all five
a fast-growing country from Latin America, and Japan            countries value the independence women enjoy when
as a non-Muslim country with a “traditional” value set.         they have a job, with half of the samples agreeing
                                                                with the statement, “having a job is the best way for
Men are perceived as the main income earners.                   a woman to be an independent person.” Less than 30
Perceptions on gender roles vary across countries. In           percent of the sample disagreed with the statement,
Jordan, Morocco, and Malaysia, majorities agreed with           even in Morocco and Jordan.

Figure 21: When Jobs Are Scarce, Men Should Have More Right to a Job Than Women
  Agree           Neither   Disagree

                                                    81%

                  57%                                                                               61%
                                                                            57%
                                  49%

                            30%                                                                                  31%
          24%                                                                         26%
 18%                                                                                        18%
                                          14%                   13%
                                                           6%                                               6%

          Chile                   Japan                   Jordan                 Malaysia                  Morocco

Source: World Value Survey 2010–2014.

The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                        19
Figure 22: Having a Job Is the Best Way for a Woman to Be an Independent Person

       72%                                                                       70%

                                                        53%
                                49%                                                                      50%

                                     33%
                                                                     26%               28%                         28%
                                                               21%
            16%
               10%                            3%                                                                 10%       9%
                                         6%
                      3%                                                                   2% 0%
                                                                        1%
             Chile                    Japan                    Jordan                  Malaysia                  Morocco

     Source: World Value Survey 2010–2014.                                   Agree       Neither      Disagree         Don’t Know

     However, the samples react differently to statements            People in Jordan and Morocco are positive toward the
     associating women with their role as mothers. To the            statement “being a housewife is just as fulfilling as
     statement representing “traditional” values, “when a            working for pay,” while people in Malaysia and Chile
     mother works for pay, the children suffer,” 57 percent          show more diverse values among people, with slightly
     of the sample in Jordan strongly agree, whereas in              more opposition. In the case of Japan, a majority of the
     Malaysia 57 percent of the sample disagree, and 23              sample agreed to the statement, in contrast to their dis-
     percent strongly disagree. Although people in Chile felt        agreement to the statement about the negative image
     least strongly among the five countries about a man’s           of working mothers.
     right to employment, the proportion of people either dis-
     agreeing or strongly disagreeing is higher in Malaysia          Looking at the attitudes across the five countries, we
     than in Chile. It seems that in Malaysia, the role of a         could say that, in general, people agree with the no-
     mother is not considered to be undermined by the fact           tion that women become more independent when they
     that she is working. Comparing Morocco to Jordan,               have a job. However, when women become mothers,
     Moroccan values are more moderate, with 25 percent of           there are two types of countries: one which values the
     the sample strongly agreeing to the statement, while 39         “formal” work of mothers as much as their “informal”
     percent agree and a total 26 percent either disagreeing         work at home, and the other which perceives “formal”
     or strongly disagreeing. An interesting case is Japan, in       work by mothers negatively by assuming children
     which almost half (48 percent) of the sample disagree,          would suffer from it. In the latter type of countries, in-
     while one-third of the sample say they don’t know, pos-         cluding Morocco and Jordan, the value of housewives
     sibly reflecting conflicts of values among individuals.         is highly regarded, which could lead young women to
                                                                     internalize these values and to more of them becoming
     Except for Japan, similar results show up regarding the         housewives in these societies, unless there are other
     statement focusing on the value of being a housewife.           factors coming into play.

20   GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
Figure 23: When a Mother Works for Pay, the Children Suffer
                                                          57%                                     57%

                                      48%

           41%
                                                                                                                              39%
                                                                32%
     28%                                         29%
                                                                                                                        25%
                                                                                                          23%
               18%                                                                                                                  19%
                                14%                                                        14%
8%                                                                   8%                                                                   7% 8%
                                             7%                                           7%
                    4%
                            1%                                            2%
                                                                                0%                          0%
           Chile                       Japan                       Jordan                       Malaysia                        Morocco

Source: World Value Survey 2010–2014.                         Strongly Agree      Agree        Disagree         Strongly Disagree    Don’t Know

Figure 24: Being a Housewife Is Just as Fulling as Working for Pay

                                 52%
                                                           46%
                                                                                                     41%
                                                               37%                             37%

   28% 29%                                                                                                               30% 30%
                                               27%
              21%
                                                                                                                                    18%
13%                         14%                                     14%                   13%
                                                                                                           10%                        11%
                   7%                   7%                                                                                               8%
                                                                         3%
                                            1%                                  0%                               0%
           Chile                       Japan                       Jordan                       Malaysia                        Morocco

Source: World Value Survey 2010–2014.                         Strongly Agree      Agree        Disagree         Strongly Disagree    Don’t Know

Women’s education and their success in work. To                education for girls. This level of disagreement is the
the statement “university education is more important          highest among the five countries. Taken together with
for a boy than for a girl,” more than 70 percent of the        the previous results, this might imply the different val-
sample population in four out of five countries dis-           ues Moroccans associate with young women before
agrees (including strong disagreement). In Morocco,            marriage and with those who are married, particularly
nearly 40 percent of the sample strongly disagrees to          with children.
it, indicating the importance Moroccans put on tertiary

The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                                          21
Figure 25: University Education is More Important for a Boy than for a Girl
                                     46%                                                         44%
        40%
              36%                                                                                                                       37%
                                                                    35%                                                           34%
                                                              36%                         31%
                                             28%

     15%                                               17%
                               13%                        12%                           13%              13%
                                        10%                                                                             9% 10%             8%
6%
                   3%        3%
                                                                             0%                               0%
           Chile                     Japan                     Jordan                          Malaysia                       Morocco

Source: World Value Survey 2010–2014.                     Strongly Agree        Agree         Disagree        Strongly Disagree     Don’t Know

                    When asked about the potential performance of                 in Malaysia, where working mothers are encour-
                    women at work, majorities in Jordan and in Morocco            aged, 14 percent strongly agree to the statement
                    agree to the statement “on the whole, men make                and 45 percent agree, while only 36 percent dis-
                    better business executives than women do.” Similar            agree. In Malaysia, mothers seem to feel less guilty
                    results can be seen regarding men and women as                when they work, but that does not mean that female
                    political leaders. In Chile, about 70 percent of the          potential is recognized as much as that of men.
                    sample disagree or strongly disagree. Interestingly,

Figure 26: On the Whole, Men Make Better Business Executives than Women Do

                                                                                              45%
                                                       42%
        40%
              36%                    36%                                                            36%
                                             33%
                                                           29%                                                           29%
                                                                23%                                                         25%
                               22%
                                                                                                                               20%
  15%                                                                                   14%                                                14%
                                                                                                                                        10%
                                         7%                             6%                               6%
4%                          3%
                   0%                                                      1%
                                                                                                              0%
           Chile                     Japan                     Jordan                          Malaysia                       Morocco
Source: World Value Survey 2010–2014.                     Strongly Agree        Agree         Disagree        Strongly Disagree     Don’t Know

22                  GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
Policy suggestions                                             It would be interesting to look at Malaysia to help deter-

Based on the above analysis, urban females in                  mine the factors making people believe in the value of

Morocco have higher expectations of participating in           working mothers. Although there might be a question

the labor market when they are more educated. At               on which comes first—reality or belief—in either case,

the same time, because of greater job security, those          such a case study would provide insights for Morocco,

females want public sector employment, which is                such as the importance of child care facilities or vari-

becoming scarce for new entrants. Looking at the at-           ous forms of help from relatives in rearing children.

titudes shared across different societies, we see that
values such as university education for women’s in-            Another possible approach by the government is

dependence through employment are highly regarded              the promotion of decent work in the private sector.

by Moroccans, as much as they are in other countries.          Improving the quality of private sector jobs in terms of

However, when it comes to women with children, they            job security and working environment would lower the

tend to prioritize their role as mothers over their role       physical and sociocultural hurdles for urban women

as workers. A pilot case in Jordan shows that an inter-        to work in the private sector, thus enhancing female

vention through vocational training was more effective         participation in the labor market. Creating decent jobs

in rural communities than in an urban, heterogeneous           in the private sector is even more crucial given the

environment. In urban areas, the job retention rate            public sector is no longer able to absorb all the new

was only 20 percent after the intervention. Major con-         entrants seeking higher quality work. These aspects

straints result from transportation challenges, wage           related to industry will be examined in the following

level, marriage, type of job, and cultural issues.38           part of the paper.

The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                         23
DEMAND-SIDE FACTORS                                        Returning to the question of FLFP, the relationship

     AND FLFP                                                   between the unemployment rate and FLFP can be
                                                                interpreted in two ways. When weak economic perfor-
     Overview of industry-related factors
                                                                mance fails to generate sufficient levels of employment
     The third approach uses demand-side factors to explain
                                                                to absorb new entrants into the labor market, it is likely
     the low female labor force participation rate. This ap-
                                                                to result in lower FLFP, since employers prefer to hire
     proach includes both macro-level analysis focusing on
                                                                men based on the understanding that male income
     aggregated demand represented by the unemployment
                                                                is more important to their families.40 For instance, the
     rate and micro-level analysis of demand from firms.
                                                                International Labor Organization (ILO)41 reports that,
                                                                in North Africa, the female youth unemployment rate
     Before addressing the question of female participation,
                                                                increased by 9.1 percentage points in the aftermath
     here are several findings from a recent report by the
                                                                of the economic crisis, compared to 3.1 percentage
     World Bank on job creation in the MENA region. First,
                                                                points for young males. And yet, comparison of the
     GDP growth over the last two decades was driven by
                                                                relationship between unemployment and female par-
     demographic change rather than labor productivity.
                                                                ticipation in OECD countries and MENA countries in-
     Private sector job creation was too weak to absorb the
                                                                dicates that in the long term, a healthy economy with
     fast-growing labor force. Second, the fundamentals of
                                                                higher female participation in the labor force is also
     job creation in the MENA region are similar to those in
                                                                more likely to enjoy lower unemployment.42
     other regions: it is young firms and more productive
     firms that create more jobs. In the MENA region, how-
                                                                In terms of micro-level analysis of demand-side fac-
     ever, low firm turnover (firm entry and exit) and slow
                                                                tors, Fakih and Ghazalian43 find that firm-related fac-
     productivity growth limit the pool of young and more
                                                                tors—mainly private foreign ownership and exporting
     productive firms and, ultimately, reduce job creation.
                                                                activities—have positive implications for FLFP rates
     This is because of a combination of slow within-firm
                                                                in MENA’s manufacturing sector. Similar results
     productivity growth and misallocation of labor and
                                                                are found in Egypt, where foreign-owned firms are
     capital across firms. Third, various policies across
                                                                more likely to employ women than their domestic
     MENA countries limit competition and undermine firm
                                                                counterparts. In addition, large firms are much more
     turnover, productivity growth, and job creation. Using
                                                                likely than small- and medium-sized firms to employ
     Morocco as one case, the report shows that several
                                                                women, and the textile sector is the most likely of all
     dimensions of the business environment such as tax
                                                                sectors to employ women.44
     administration, corruption, and the cost of finance
     impact employment growth and disproportionately
                                                                Figures 27 and 28 show profiles of current active
     affect young firms. Finally, the report provides direct
                                                                workers in urban areas in Morocco by industry and by
     evidence that policies in MENA countries have often
                                                                professional category. As these figures focus on urban
     been captured by a few politically connected firms.
                                                                areas, workers are mainly engaged in either “industry,
     This has led to a policy environment that creates privi-
                                                                building and public work” or “services.” In the “industry,
     leges rather than a level playing field, and undermines
                                                                building and public work” sector, more than 60 percent
     private sector growth and job creation.39 These factors
                                                                of the workers are classified as artisans and skilled
     lie behind the high unemployment rate among youth in
                                                                craft workers for both men and women. The services
     MENA countries.

24   GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
Figure 27: Sector and Profession, Urban Males                           Figure 28: Sector and Profession, Urban Females
3,000,000                                                                800,000

                                                                         700,000
2,500,000

                                                                         600,000

2,000,000
                                                                         500,000

1,500,000                                                                 400,000

                                                                          300,000
1,000,000

                                                                          200,000

 500,000
                                                                         100,000

           0                                                                      0
                Agriculture,        Industry,            Services                        Agriculture,          Industry,            Services
                forestry and       building and                                          forestry and         building and
                   fishery         public work                                              fishery           public work

    0
     –2                                   4                            6                                      8–9
    3
                                          5                            7

 0: legislative members, locally elected personnels, directors and   5: operators in agriculture, fishery or forestry
 managements of companies
                                                                     6: artisans and skilled craft workers
 1: senior managers and members of liberal professions
                                                                     7: laborers in agriculture and fishery including skilled laborers
 2: middle managers
                                                                     8: plant and machine operators and assembly workers
 3: employees
                                                                     9: non-agricultural laborers, workers in small businesses
 4: merchants, commercial and financial intermediaries
                                                                     10: out of classification

 Source: Haut Commissariat au Plan, 2012. Activity, Employment and Unemployment.

 The Opportunities and Challenges for Female Labor Force Participation in Morocco 		                                                           25
professional category varies more, covering almost          wide, equivalent to nearly one in 10 jobs in the global
     all professional categories. Among females, services        workforce.46 The high intensity of labor within the in-
     sector workers are mainly managers, employees, and          dustry makes it a significant source of employment and
     small business workers. We see that the services sec-       places it among the world‘s top creators of jobs that
     tor is providing a significant number of salaried posi-     require varying degrees of skills and allow for quick
     tions for women. It is especially remarkable that 35        entry into the workforce by youth, women and migrant
     percent of female workers in services correspond to         workers.47 Tourism’s ability to generate employment,
     the professional categories 0-2, while only 14 percent      not only in the formal sector but also in informal sec-
     of male positions do. This implies that there is a higher   tor activities, has been cited as one of its key advan-
     percentage of senior management-level jobs among            tages for developing countries.48 Sinclair49 also points
     urban working women in the services industry.               out that empirical studies have revealed the relatively
                                                                 skill-intensive nature of tourism employment. This re-
     We know that the low FLFP represents a large op-            quires more detailed study, as a more recent analysis
     portunity cost for MENA societies, while even young         indicates a high proportion of low-skilled domestic-type
     males are having difficulties getting decent private        jobs, which are open to female workers in the sector.50
     sector work. Also, industrial policies in these coun-       Another important point is that the tourism industry has
     tries sometimes hinder healthy competition among            a significant multiplier effect on employment in other
     firms and therefore result in fewer jobs than might be      sectors. With regard to the sectoral supply chain, one
     expected. What industrial policies are being pursued        job in the core tourism industry indirectly generates
     in Morocco in order to spur job creation and promote        roughly 1.5 additional jobs in the related economy.51
     higher FLFP? In the following sections, the paper
     takes a closer look at the tourism sector in the services   With regard to gender in tourism-related employment,
     industry and manufacturing industry as an example.          a United Nations Environment and Development UK
     It examines strategies set by the Government of             (UNED–UK) study estimated that, on average, 46 per-
     Morocco for tourism—Vision 2020—and for the manu-           cent of the tourism workforce was female in 2002.52 At
     facturing industry—Emergence Plan—and their impact          the same time, many companies in the tourism sector
     on job creation. It is noteworthy that neither strategy     are small and often family enterprises, the mixture of
     makes explicit reference to issues affecting, or policies   paid work and domestic work among women is un-
     promoting, FLFP.                                            clear, which makes it difficult to distinguish between
                                                                 formal and informal employment.53 In terms of income
                                                                 disparities, there is a significant income gap between
     Tourism as a job-creating industry:                         male and female workers in the sector, with females
     from “Vision 2010” to “Vision 2020”                         earning less than males, which might be due to more
     Labor dynamics in the tourism industry                      managerial posts being occupied by men.54 The ILO

     According to the ILO, the tourism industry is one of        notes education and vocational training are key requi-

     the fastest-growing sectors of the global economy, ac-      sites for the operational effectiveness of the sector.55

     counting for more than one-third of the total global ser-   Whether the required training is to be provided by the

     vices trade.45 By 2022, it is estimated that employment     government or by employers, the sector needs quali-

     in tourism would account for 328 million jobs world-        fied employees to improve its quality.

26   GLOBAL ECONOMY AND DEVELOPMENT PROGRAM
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