Income and Non-Income Inequality in Post-Apartheid South Africa: What are the Drivers and Possible Policy Interventions?

Bhorat, Haroon; Westhuizen, Carlene van der; Jacobs, Toughedah

doi:10.2139/ssrn.1474271

Cited by 27 publications

(29 citation statements)

References 15 publications

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“…There is also a marked difference in poverty estimates between money and nonmoney metric approaches that show an increase in welfare (Schiel 2000). For example, Bhorat et al (2009) showed that in South Africa, people's access to public assets such as formal housing, piped water, electricity for lighting and cooking and certain private assets such as radios and televisions, increased remarkably after 1994, particularly among the previously disadvantaged groups. Using a range of socio-economic and demographic indicators in 21 geographical nodes across South Africa that are known for their high levels of poverty, Everatt (2009) also showed that after 1994, poverty levels improved significantly in the 21 nodes although challenges still exist.…”

Section: Poverty Analysis In South Africamentioning

confidence: 99%

A Multidimensional Poverty Index for Gauteng Province, South Africa: Evidence from Quality of Life Survey Data

Mushongera¹,

Zikhali

Ngwenya

2015

Soc Indic Res

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This paper estimates a Multidimensional Poverty Index for Gauteng province of South Africa. The Alkire-Forster method is applied on Quality of Life survey data for 2011 and 2013 which offer an excellent opportunity for estimating poverty at smaller geographical areas. The results suggest that the Multidimensional Poverty Index for Gauteng is low but varies markedly by municipality and by ward, as well as across income groups. Not only are low income households more likely to be multidimensionally poor, they also suffer from higher intensities of poverty. Multidimensional poverty is highest in areas of low economic activity located on the edges of the province. However, pockets of multidimensional poverty do prevail even in better performing municipalities. Government, at all spheres, needs to devise policies that channel investments into lagging areas and avoid approaches that are indifferent to the heterogeneities that exist across localised geographical extents.

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Section: Poverty Analysis In South Africamentioning

confidence: 99%

A Multidimensional Poverty Index for Gauteng Province, South Africa: Evidence from Quality of Life Survey Data

Mushongera¹,

Zikhali

Ngwenya

2015

Soc Indic Res

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“…In South Africa, Bhorat et al (2009), using the Income and Expenditure Surveys (IESs) of 1995, 2000 and 2005, found wage inequality to be the main contributor to the increasing income inequality in South Africa. They maintain that it is primarily income differences between race groups, rather than those within a particular race group, that drives South Africa's growing inequality levels.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They argue that migration is the ultimate reason why there has been an increase in income inequality in urban areas in the form of 'both rural-urban migration and cross-border migration ' Bhorat et al (2009), that is from weak economies to relatively stronger economies. Migrants are forced to move to the urban areas due to the lack of employment and income generating opportunities in rural areas.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This article is based on the results of the IESs conducted in 2005/2006and 2010/2011. In between the IES 2005/2006and IES 2010/2011, Stats SA conducted the LCS in 2008/2009, which also collected detailed household consumption expenditure data. The sample size for all these surveys was approximately 30,000 households based on a stratified systematic sampling.…”

Section: Lehohla and Shabalala: Inequality In South Africamentioning

confidence: 99%

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Inequality in South Africa

Lehohla¹,

Shabalala²

2014

Development

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“…Its level of inequality is among the worst in the world (Bhorat, van der Westhuizen, & Jacobs, 2009). At least 80% of South Africa's wealth is owned by 5% of the population.…”

Section: Contextmentioning

confidence: 99%

A career advice helpline: a case study from South Africa

Flederman¹

2011

Int J Educ Vocat Guidance

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This case study presents the new career guidance helpline managed by the South African Qualifications Authority in South Africa, a middle-income country. The National Qualifications Framework and Career Advice Helpline represent a national equity-driven initiative using technology to expand access. The model has drawn on contemporary international research and models of innovative systems, while modifying the design for local relevance. It illustrates the need for broadening the parameters in the career guidance profession.

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Income and Non-Income Inequality in Post-Apartheid South Africa: What are the Drivers and Possible Policy Interventions?

Cited by 27 publications

References 15 publications

A Multidimensional Poverty Index for Gauteng Province, South Africa: Evidence from Quality of Life Survey Data

A Multidimensional Poverty Index for Gauteng Province, South Africa: Evidence from Quality of Life Survey Data

Inequality in South Africa

A career advice helpline: a case study from South Africa

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