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Distributional Implications of Halving Poverty in South Africa


  • Tregenna, F.


The South African government has set as a policy objective the halving of 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 newly released income and expenditure survey data. 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 only about 3% of GDP. Projections of poverty in 2014 under various growth scenarios indicate that growth alone will be insufficient to halve poverty by that time, and that any worsening of distribution will put the target of halving poverty by 2014 beyond reach. However, projecting the effects of a range of growth and distributional scenarios 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

  • Tregenna, F., 2009. "Distributional Implications of Halving Poverty in South Africa," Cambridge Working Papers in Economics 0923, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:0923

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    References listed on IDEAS

    1. Kapetanios, George & Marcellino, Massimiliano, 2010. "Factor-GMM estimation with large sets of possibly weak instruments," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2655-2675, November.
    2. Ross, Stephen A., 1976. "The arbitrage theory of capital asset pricing," Journal of Economic Theory, Elsevier, vol. 13(3), pages 341-360, December.
    3. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(06), pages 1113-1141, December.
    4. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    5. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    6. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    7. Chudik, Alexander & Pesaran, M. Hashem, 2011. "Infinite-dimensional VARs and factor models," Journal of Econometrics, Elsevier, vol. 163(1), pages 4-22, July.
    8. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    9. Chamberlain, Gary, 1983. "Funds, Factors, and Diversification in Arbitrage Pricing Models," Econometrica, Econometric Society, vol. 51(5), pages 1305-1323, September.
    10. Ingersoll, Jonathan E, Jr, 1984. " Some Results in the Theory of Arbitrage Pricing," Journal of Finance, American Finance Association, vol. 39(4), pages 1021-1039, September.
    11. Gregory, Allan W. & Head, Allen C., 1999. "Common and country-specific fluctuations in productivity, investment, and the current account," Journal of Monetary Economics, Elsevier, vol. 44(3), pages 423-451, December.
    12. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2002. "A Principal Components Approach to Cross-Section Dependence in Panels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-3, International Conferences on Panel Data.
    13. Mario Forni & Lucrezia Reichlin, 1998. "Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics," Review of Economic Studies, Oxford University Press, vol. 65(3), pages 453-473.
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    Cited by:

    1. José Gabriel Palma, 2011. "Forum 2011," Development and Change, International Institute of Social Studies, vol. 42(1), pages 87-153, January.

    More about this item


    income distribution; poverty; inequality; South Africa;

    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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