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The Economic Impacts of Government Financing of the 2010 FIFA World Cup


  • Ramos Mabugu

    () (Financial and Fiscal Commission)

  • Ahmed Mohamed

    () (IDASA)


This paper presents estimates of the economic impacts of financing the hosting of the 2010 FIFA World Cup by the government of South Africa. Ex ante analysis using a fiscal social accounting matrix model indicates that hosting of the event impacts positively on gross domestic product and imports. The positive impact on imports will, inter alia, lead to deterioration in the current account deficit for a given amount of exports. Owners of capital benefit more than owners of labour as a result of 2010 FIFA World Cup expenditures by the government. Middle-income Black households are the largest winners, followed by high-income Whites. Asians experience the least gain. These outcomes are explained by the initial factor endowments and their sectoral allocation in the social accounting matrix. Government revenue goes up in response to the demand injection, and a large proportion of it accrues to central government and local government respectively.

Suggested Citation

  • Ramos Mabugu & Ahmed Mohamed, 2008. "The Economic Impacts of Government Financing of the 2010 FIFA World Cup," Working Papers 08/2008, Stellenbosch University, Department of Economics.
  • Handle: RePEc:sza:wpaper:wpapers56

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    References listed on IDEAS

    1. T. Paul Schultz & Germano Mwabu, 1998. "Labor Unions and the Distribution of Wages and Employment in South Africa," ILR Review, Cornell University, ILR School, vol. 51(4), pages 680-703, July.
    2. Barry T. Hirsch, 2004. "Reconsidering Union Wage Effects: Surveying New Evidence on an Old Topic," Journal of Labor Research, Transaction Publishers, vol. 25(2), pages 233-266, April.
    3. Dieter von Fintel, 2006. "Earnings bracket obstacles in household surveys – How sharp are the tools in the shed?," Working Papers 08/2006, Stellenbosch University, Department of Economics.
    4. David Card & Thomas Lemieux & W. Craig Riddell, 2004. "Unions and Wage Inequality," Journal of Labor Research, Transaction Publishers, vol. 25(4), pages 519-562, October.
    5. David G. Blanchflower, 1997. "Changes Over Time in Union Relative Wage Effects in Great Britain and the United States," NBER Working Papers 6100, National Bureau of Economic Research, Inc.
    6. Julian F. Hofmeyr & Robert E. B. Lucas, 1998. "The Rise in Union Wage Premia in South Africa," Boston University - Institute for Economic Development 83, Boston University, Institute for Economic Development.
    7. Rulof Burger & Derek Yu, 2006. "Wage trends in post-apartheid South Africa: Constructing an earnings series from household survey data," Working Papers 10/2006, Stellenbosch University, Department of Economics.
    8. David G. Blanchflower & Alex Bryson, 2004. "What Effect Do Unions Have on Wages Now and Would Freeman and Medoff Be Surprised?," Journal of Labor Research, Transaction Publishers, vol. 25(3), pages 383-414, July.
    9. Arbache, Jorge Saba & Carneiro, Francisco Galrao, 1999. "Unions and Interindustry Wage Differentials," World Development, Elsevier, vol. 27(10), pages 1875-1883, October.
    10. P. G. Moll, 1993. "Black South African Unions: Relative Wage Effects in International Perspective," ILR Review, Cornell University, ILR School, vol. 46(2), pages 245-261, January.
    11. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
    12. Lee, Lung-Fei, 1978. "Unionism and Wage Rates: A Simultaneous Equations Model with Qualitative and Limited Dependent Variables," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 415-433, June.
    13. John Pencavel, 2005. "Unionism Viewed Internationally," Journal of Labor Research, Transaction Publishers, vol. 26(1), pages 65-97, January.
    14. Blackburn, McKinley L., 2007. "Estimating wage differentials without logarithms," Labour Economics, Elsevier, vol. 14(1), pages 73-98, January.
    15. Puhani, Patrick A, 2000. " The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    16. Gregory M. Duncan & Duane E. Leigh, 1980. "Wage Determination in the Union and Nonunion Sectors: A Sample Selectivity Approach," ILR Review, Cornell University, ILR School, vol. 34(1), pages 24-34, October.
    17. Barry T. Hirsch, 2004. "What Do Unions Do for Economic Performance?," Journal of Labor Research, Transaction Publishers, vol. 25(3), pages 415-456, July.
    18. Booth, Alison, 1986. "Estimating the Probability of Trade Union Membership: A Study of Men and Women in Britain," Economica, London School of Economics and Political Science, vol. 53(29), pages 41-61, February.
    19. David Blanchflower & Alex Bryson, 2002. "Changes over time in union relative wage effects in the UK and the US revisited," NBER Working Papers 9395, National Bureau of Economic Research, Inc.
    20. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    21. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
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    More about this item


    2010 FIFA World Cup; Economic Impact; SAM Modelling; Legacy; South Africa;

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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