HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
HLEG thematic workshop on Measurement of Well Being and Development in Africa, Imraan Valodia
1.
Conference On Measurement Of
Well Being and Development in
Africa
Imraan Valodia
University of Witwatersrand
2.
From a gender perspective, 2 concerns
that I want to highlight
• Unpaid Work
• Intra HH issues
3.
Unpaid work
• Fairly well established that we spend as much,
if not more, time on reproduction than we do
on production
• There is a gendered pattern to unpaid work
• GDP calculations continue to ignore unpaid
work
5.
It matters
• Under-investment in social services
– If Treasury is only seeing the market economy, we
are under-investing in social services
• Might we be making massive policy errors?
– Trade Liberalisation?
6.
Intra HH Issues
• Our GDP calculations do not pay significant
attention to intra HH gender issues
• Take, for example, VAT which is assumed to be
a “good” tax for conditions in Africa
• Might VAT place a heavy burden on women?
– VAT a tax on comsumption
• Women have higher propensity to consume
• Women disproportionately in low income groups with
higher propensity to consume
7.
• Grown and Valodia studied gender and tax
issues in 8 countries
8.
One policy experiment : Drop zero
rating of food in SA
9.
Figure 7. Simulation: VAT rating basic food
0
1
2
3
4
5
6
7
8
1 2 3 4 5
Quintile
Tax/Expshare(%)
Male-headed: food Male-headed: food without 0-rating
Female-headed: food Female-headed: food without 0-rating
Simulation: Vat rating 19 basic food items that are currently zero-rated.
Result: Zero-rating reduces incidence and regressivity substantially and
eliminates the gender bias.
10.
Summary
• From a gender perspective, GDP and well-
being measures remain inadequate
• Much innovation in Africa in the research
community over the last 20 years
– Many countries have time use surveys
• Very little traction in policymaking world