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What are the distributional implications of halving poverty in South Africa when growth alone is not enough?

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  • Fiona Tregenna

Abstract

The United Nations Millennium Declaration commits to halving extreme poverty between 2000 and 2015. The South African government has set a goal of halving poverty by 2014, although the meaning of this goal has not yet been defined. This article frames government's stated target of halving poverty by 2014 in terms of specific measures of the poverty gap and poverty headcount ratio, using income and expenditure survey microdata. With the poverty line as defined here, approximately half the South African population falls below the poverty line. Despite this, the aggregate poverty gap is surprisingly small at about 3% of gross domestic product. Projections of poverty in 2014 under various growth scenarios indicate that growth alone will be insufficient to halve poverty by then, and that any worsening of distribution will put the target of halving poverty by 2014 far beyond reach. However, projections of the effects of a range of growth and distributional scenarios on poverty, using a new method for simulating pro-poor distributional change, indicate that halving poverty appears feasible with moderate growth rates and fairly mild pro-poor distributional change. The results are indicative as to the scale of distributional changes necessary to halve poverty under various growth scenarios.

Suggested Citation

  • Fiona Tregenna, 2012. "What are the distributional implications of halving poverty in South Africa when growth alone is not enough?," Applied Economics, Taylor & Francis Journals, vol. 44(20), pages 2577-2596, July.
  • Handle: RePEc:taf:applec:v:44:y:2012:i:20:p:2577-2596
    DOI: 10.1080/00036846.2011.566186
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    Cited by:

    1. José Gabriel Palma & Joseph E. Stiglitz, 2016. "Do Nations Just Get the Inequality They Deserve? The “Palma Ratio” Re-examined," International Economic Association Series, in: Kaushik Basu & Joseph E. Stiglitz (ed.), Inequality and Growth: Patterns and Policy, chapter 2, pages 35-97, Palgrave Macmillan.
    2. Biyase, Mduduzi, 2018. "Assessing the impact of social grants on household welfare using morning after simulation and PSM approach," MPRA Paper 84477, University Library of Munich, Germany.
    3. Mohamed Ali Khemiri, 2022. "Testing the Non-Linear Relationship between Liquidity Risk and Bank Stability in the MENA Region," International Journal of Economics and Financial Issues, Econjournals, vol. 13(4), pages 125-133, July.
    4. Darlington Mushongera & Precious Zikhali & Phindile Ngwenya, 2017. "A Multidimensional Poverty Index for Gauteng Province, South Africa: Evidence from Quality of Life Survey Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 277-303, January.
    5. Andreoni, Antonio & Tregenna, Fiona, 2020. "Escaping the middle-income technology trap: A comparative analysis of industrial policies in China, Brazil and South Africa," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 324-340.
    6. Palma, J. G., 2019. "Why is inequality so unequal across the world? Part 2 The diversity of inequality in market income - and the increasing asymmetry between the distribution of income before and after taxes and transfer," Cambridge Working Papers in Economics 19100, Faculty of Economics, University of Cambridge.

    More about this item

    JEL classification:

    • D30 - Microeconomics - - Distribution - - - General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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