Poverty and inequality in the Gauteng City-Region

Poverty and inequality are legacies of apartheid that are proving intractable to deal with, in spite of a high level of policy concern with the two challenges, and many attempts by the post-apartheid government to eradicate poverty and reduce inequality. Why do poverty and inequality continue to be major developmental challenges in South Africa? To what extent have government efforts since 1994 contributed towards reducing poverty and inequality? With a view to knowing what provincial and local government could do to better address the issues, how do we understand the local spatial variation in those factors that constitute poverty and inequality? This major Research Report attempts to answer these questions with a focus on Gauteng, highlighting patterns, drivers and changes over time. The Report consists of three parts.

Part 1 gives an analysis of poverty and inequality from an income and expenditure perspective. The paper has two main objectives. First, it aims to provide an overview of changes in poverty and income inequality in Gauteng for the 15-year period between 1995 and 2010 as well as a critical analysis of the relationship between economic growth, poverty and inequality over this period. Second, it seeks to assess the impact of government provided social grants on income inequality and poverty in the province. The analysis utilises data on income and expenditure from Statistics South Africa (Stats SA) Income and Expenditure Surveys for 1995, 2000, 2005 and 2010. In order to ensure comparability between the respective surveys, adjusted cross-entropy weights were applied.

Part 2 focuses on inequalities in the labour market over the period 1995-2012 using data from Stats SA's Labour Force Survey and the Quarterly Labour Force Survey. Important variables considered include race, gender and education. Particular attention is given to how these characteristics result in segmentation and discrimination in the labour market, ultimately generating income inequalities.

Part 3 uses the GCRO's Quality of Life Survey (QoL) data for 2011 and 2013 to generate a Multidimensional Poverty Index for Gauteng (GMPI). The index was developed along the same lines as the South African Multidimensional Poverty Index (SAMPI) by Stats SA and follows the Alkire-Foster method of multidimensional poverty analysis. Since 2013 QoL data can be disaggregated down to ward level, the authors were able to map results by ward and thereby show spatial variations in multidimensional poverty across the province. Small area analyses such as this provide invaluable insights that should help provincial and local government to target areas with the most need


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