From Jobs to Careers

Page 105

What Are the Barriers to Career Development?

l

65

and 2 percent of all female employment in 2017, respectively.5 Middle- and highincome countries maintain similar shares of total employment in manufacturing with slightly under 25 percent of the workforce. The female share in manufacturing, however, drops from 17 percent in lower-middle-income countries to 11 percent in high-income countries.6 The drop in female manufacturing employment from middle- to high-income countries is driven by the apparel industry. In high-income countries, textiles, apparel, and leather account for only 1 percent of female employment, compared with 7 percent in lower-middle-income countries (table 3.1). This shows that employment in apparel manufacturing is not sustainable; female apparel workers will eventually need to find employment in other industries as country income rises. The pattern that this shift forms, as shown in figure 3.1, is similar to the U-shape found when female labor force participation (FLFP) and national income are compared, consistent with the “feminization U hypothesis” discussed in chapter 1. In low- and lower-middle-income countries, FLFP rates are high because of the large concentration of women working in labor-intensive agriculture and domestic service industries. In upper-middle and high-income countries, FLFP increases again as service sectors expand and generate higher-wage opportunities for women.

TABLE 3.1 Shares of Total Female Employment, by Country Income Group, Selected Industries, 2017 Percent

Low income

Lowermiddle income

Uppermiddle income

High income

All income levels

Crop production (01)

45

44

13

1

23

Textiles, apparel, leather (13–15)

4

7

5

1

5

3

5

3

1

3

6

7

8

7

7

Industry (ISIC4a code)

Apparel (14) Other manufacturing (10–12, 16–33) High-skill services (84–86)

8

11

19

31

19

Mid-skill services (47, 56)

23

16

25

16

18

Low-skill services (96–97)

5

6

12

4

6

Residential care, social work (87–88)

0

0

1

8

3

Financial services (64–69)

1

1

3

8

4

All other services not listed above

6

6

12

23

13

Countries (no.)

6

21

21

34

82

Source: International Labour Organization ILOSTAT data, “Employment by sex and economic activity (thousands), Annual” (1992–2020). Note: The data cover 82 countries globally across regions. Country income categories are according to World Bank classifications. Shares across the income groups may not total 100 percent because of rounding. a. ISIC4 = International Standard Industrial Classification of All Economic Activities (ISIC), Rev. 4 (UN DESA 2008).


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A.6 Average Monthly Wages for Females and Both Genders, Manufacturing and All Industries, by Case Country

1min
page 175

A.9 Details of Education Level Data Used for Standardized Analysis, by Case Country

2min
pages 177-178

A.4 Average Monthly Wages in Local Currency, by Industry, in Case Countries

1min
page 173

Education Analysis Issues and Methodology

2min
page 170

A.5 Average Monthly Wages in the Apparel Industry, by Gender, and the Gender Wage Gap in Case Countries

1min
page 174

5.2 North Carolina and Bangladesh: Programs That Spotlight Apparel Careers

2min
page 159

Seven Middle-Income Countries, 2020

6min
pages 161-163

Break Glass Ceilings

2min
page 160

Conclusion

2min
page 164

Increase Access to Education to Promote Female Participation in Careers

4min
pages 157-158

Introduction

4min
pages 150-151

Increase Participation of Female Production Workers in Export-Oriented Apparel Manufacturing and Related Industries

3min
pages 153-154

Key Messages

1min
page 149

Increase the Number of Female Supervisors and Upgrade Apparel Jobs to Manufacturing-Related Services

4min
pages 155-156

Economies, 1995–2015

1min
page 139

Conclusion

1min
page 145

Bangladesh, Cambodia, and Vietnam, 2013

1min
pages 140-141

Can Apparel Exports Increase Jobs and Female Labor Force Participation?

2min
page 136

The Multifiber Arrangement, Export Dependence, and Women

1min
page 132

Conclusion

2min
page 119

of Peak Apparel Exports

4min
pages 134-135

References

3min
pages 122-124

by Scale of Operation

1min
page 131

Notes

4min
pages 120-121

Key Messages

1min
page 125

Middle-Income Countries and the United States

1min
page 118

The Three Female Employment Groups

2min
page 106

The Three Barriers to Career Progression

2min
page 108

Sample Middle-Income Countries, Mid-2010s

4min
pages 116-117

Key Messages

1min
page 101

Selected Industries, 2017

1min
page 105

Global Patterns of Female Labor Intensity

2min
page 103

Introduction

2min
page 102

Annex 2A: Mincerian Equation Results

2min
page 90

Middle-Income Countries, 2000s–2010s

2min
page 78

Sample Middle-Income Countries, by Earliest and Latest Data Years

2min
page 76

Introduction

1min
page 68

Indicator One: Investment in Human Capital

4min
pages 70-71

Indicator Four: Earnings Gaps between Men and Women

4min
pages 79-80

Key Messages

1min
page 67

References

6min
pages 63-66

1.2 Job Classification by ISCO Code, Skill Level, and Education Level

2min
page 61

B1.3.1 Share of Total Female Employment, by Sector and Selected Industries, in Sample Middle-Income Countries, 2017

1min
page 60

Apparel Jobs to Careers

1min
page 55

Feminization U-Shaped Curve

2min
page 50

National Income, 2017

3min
pages 48-49

1.3 Apparel: The Most Important Manufacturing Industry for Female Jobs

1min
page 59

Contributions to Higher Family Income

4min
pages 53-54

Country Cases and Labor Market Classifications

4min
pages 56-57

Middle-Income Countries

1min
page 58

O.4 Returns to Education for Females in Selected Countries, 2007–15 xxvi O.5 Decomposition of Occupations in Women’s and Total Employment Worldwide, by Broad Category and Country Income Level, 2017 xxvii O.6 Relationships of GVC Activities and Country Roles to Occupational Skill and Country Income Levels xxix 1.1 The Path from Jobs to Careers for US Women in the Twentieth Century

4min
pages 46-47
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