From Jobs to Careers

Page 58

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FROM JOBS TO CAREERS

TABLE 1.1 Data Points on Female Labor in the Apparel Industry of Sample MiddleIncome Countries

Country

Year of peak apparel export share

Peak share of apparel in total exports (%)

Share of apparel in total exports, 2018 (%)

Female share Apparel share of all of all apparel female labor employment (%)a (%)a

FLFP rate, 1995–2015 (%)

Bangladesh

2018

88

88

8 (2016)

46 (2017)

26–32

Cambodia

2003

84

66

17 (2014)

79 (2017)

77–74

Egypt, Arab Rep.

1998

13

7

2 (2015)

31 (2017)

21–22

Pakistan

2017

39

37

9 (2015)

46 (2018)

13–24

Sri Lanka

2000

55

47

12 (2015)

72 (2017)

36–36

Turkey

1992

30

15

5 (2013)

50 (2017)

31–31

Vietnam

2003

19

11

6 (2015)

80 (2017)

72–73

Avg. all countries

2002

9

4

3 (2017)

57 (2017)

51–48

Sources: United Nations Comtrade database, representing Standard Industrial Trade Classification (SITC) 1-digit code 84 (articles of apparel and clothing accessories); International Labour Organization ILOSTAT data (1990–2030). Note: FLFP = female labor force participation. a. Data year is indicated within parentheses.

mining); manufacturing/industry; and services. This report uses “industry” to refer to a given 2-digit ISIC code. We also define jobs and careers by occupational code using the International Standard Classification of Occupations (ISCO), comprising 10 major groups. The ISCO system associates occupational groups with skill levels, which are associated with education levels (table 1.2). ISCO skill levels traditionally have been based on typical educational attainment, but they now also emphasize the nature of the work performed—for example, the tools and machinery used and the amount of in-job training or experience needed for competent performance. For our purposes, we focus on formal education at each skill level and occupation because of data availability. HSOs require more education, imply longer-term commitment to the labor market, and provide advancement opportunities; therefore, we often equate them with careers. However, we also recognize that career paths include longterm labor participation associated with in-job experience and permanence in the labor market. HSOs fall within ISCO codes 1–3, which include managerial, professional, and technician occupations. The occupations most likely to be associated with careers require workers to have upper-secondary and tertiary education.


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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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