does trade liberalisation leave women behind in south africa presented by margaret chitiga-mabugu,...
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Does Trade Liberalisation Leave Women Behind in South Africa
Presented by Margaret Chitiga-Mabugu, HSRC, EPD unit
J. Cockburn, B. Decaluwé, M .Chitiga-Mabugu, I. Fofana and R. Mabugu
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Outline
Background and Motivation
Trade reform experiment and key findings
Policy implications
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Background and Motivation
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Background and motivation
Macroeconomic policy reforms (and their differentiated impacts on women and men) are of crucial importance to all countries
Macroeconomic policies and gender poverty and inequalities have become a growing concern in developing countries
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Background and motivation
Women are more vulnerable to chronic poverty, because of gender inequalities in the distribution of income, access to productive inputs, asset management, and the labor market (World development reports 2000 and 2001)
That is why it is important to integrate household production and gender in the analysis of macroeconomic policies effects
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Men Women Children
P0 P1 P2 P0 P1 P2 P0 P1 P2
South Africa 0.44 0.20 0.12 0.51 0.24 0.14 0.63 0.31 0.19
Urban area 0.35 0.15 0.08 0.42 0.18 0.10 0.52 0.23 0.13
Rural area 0.61 0.30 0.18 0.66 0.33 0.20 0.74 0.40 0.25
Male-headed 0.37 0.16 0.09 0.42 0.19 0.11 0.54 0.25 0.15
Female-headed 0.66 0.33 0.20 0.59 0.29 0.17 0.73 0.38 0.24
Black 0.52 0.24 0.14 0.60 0.29 0.17 0.69 0.35 0.21
Colored 0.31 0.12 0.06 0.35 0.14 0.08 0.43 0.18 0.09
Asian 0.06 0.02 0.01 0.03 0.01 0.00 0.12 0.04 0.02
White 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Unspecified 0.00 0.00 0.00 0.08 0.02 0.01 0.22 0.06 0.02
Poverty indexes by gender and age in 2000 IES
Background and motivation
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0%
20%
40%
60%
80%
100%
Market w ork Domestic w ork Leisure
Female
Male
Gender Time Allocation in Year 2000
Background and motivation
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Male-female Sectoral shares in wage income (%)
ratio Males Females
Health and social work 0.4 0.6 3.5
Textiles industry 0.9 0.8 2.5
Other activities and services 0.9 3.8 10.6
Hotels and restaurants 1.3 1.1 2.2
Financial intermediation 1.5 5.6 9.5
Real estate 1.6 1.7 2.9
Trade services 1.9 15.6 21.0
Business activities 2.0 3.7 4.7
Communications 2.5 3.4 3.6
Telecommunications 2.6 0.3 0.3
Other manufacturing 3.0 2.8 2.4
General government 3.2 24.3 19.9
Agriculture 3.2 2.8 2.3
Footwear 3.3 0.1 0.1
Distribution of male and female market work
Background and motivation
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Distribution of male and female market work (continue)
Male-female Sectoral shares in wage income (percent)
ratio Males Females
Food industry 3.4 2.8 2.2
Electrical machinery 4.2 0.5 0.3
Petroleum 4.3 3.3 2.0
Transport services 4.8 6.3 3.4
Non-metallic mineral goods 4.9 0.7 0.4
Electricity 6.2 1.8 0.7
Water 6.3 0.2 0.1
Basic iron and steel 6.7 5.0 2.0
Transport equipment 6.7 1.8 0.7
Construction 6.7 4.4 1.7
Other mining industry 11.4 2.1 0.5
Coal industry 14.2 1.1 0.2
Gold industry 27.7 3.3 0.3
All 2.6 100.0 100.0
Background and motivation
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Male Female
All population groups 24.8 28.0
Urban 24.1 28.6
Non urban 26.4 26.9
African 30.0 32.3
Urban 31.0 35.7
Non urban 28.6 27.9
Colored 21.1 22.8
Urban 23.9 23.7
Non urban 8.8 17.1
Asian 13.9 23.0
Urban 13.5 22.9
Non urban 31.4 30.1
White 5.6 7.8
Urban 5.7 8.0
Non urban 4.9 5.4
Unemployment rate (official definition) by race and gender (2001)
Background and motivation
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Mean monthly income by gender (1999)
0
2000
4000
6000
8000
10000
12000
14000
Formal White Formal Urban(African)
Informal urban(African)
Informal non-urban(African)
Domestic (urban)(African)
Domestic (non-urban)(African)
Agricultural (formal)(African)
Agricultural ( informal)(African)
Men women
Background and motivation
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Trade liberalization scenario and key findings
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South Africa is member of World Trade Organization since 1995 and since 1969 participates to the Southern Africa Custom Union
South Africa has also a number of bilateral trade ties, mainly in the form of free trade areas (FTA). The European Union – South Africa FTA (agreed in 2000)
There are other planned FTAs with India, Brazil etc.
Trade liberalization scenario and key findings
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Substantial reductions in the number of tariff lines and bands and maximum tariff rates
Tariff barrier constitute the principal protectionist measure in South Africa (Other policy measures against free trade are still in place)
Trade liberalization scenario and key findings
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Simulation involves the complete elimination of all import tariffs
Trade liberalization scenario and key findings
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Penalize the initially highly protected sectors
Favour the export-intensive and high input-used sectors
ResultsTrade and output effects
Trade liberalization scenario and key findings
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Employment and wage effects
Strong gender bias against women with a decrease in their labor market participation, while men supply more labor in the market
Trade liberalization scenario and key findings
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Employment and wage effects
Male workers derive substantially more labour income from the expanding sectors (export-oriented and high input used sectors)
Female workers are penalized by their greater participation in garments, as well as health and social work, the contracted sectors
Trade liberalization scenario and key findings
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Increase the labour market participation of male workers, while female workers market activities fall
The existing gender bias against women in labour market participation increases
Time re-allocation effects
Trade liberalization scenario and key findings
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Male workers increased their labour market participation and reduced their domestic work participation
The existing gender bias towards women performing domestic work accentuates
Trade liberalization scenario and key findings
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Men continue to contribute more to household income
Reducing the bargaining power of women in their households
Income distribution effects
Trade liberalization scenario and key findings
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Policy implications
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Non uniform compensatory taxes that favour female intensive sectors and poor households would help to reduce gender inequalities
Complementary fiscal and non fiscal policies to reduce time burden on women through measures that save time or improve the productivity of time use (access to education, land, credit, information, help centres, and technology)
Policy implications
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Thank you!