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A Fiscal View on Analyzing the Impact of Organizing Mega Sporting Events

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  • Sheng-Tung Chen

    (Department of Public Finance, Feng Chia University, Taiwan)

Abstract

This paper focuses on explaining the Post Olympic Effect on mega sporting events which include the Summer Olympic Games and the FIFA World Cup. By applying the neoclassical one-sector aggregate production function model and Hansen¡¦s threshold model (1996, 2000) to analyze the impact of organizing mega sporting events, the hypothesis of the Armey curve (1995) is investigated. Data for countries hosting the Summer Olympic Games and the FIFA World Cup over the period from 1980 to 2008 are collected. The empirical results show that 7 of 13 countries support the hypothesis of the Armey curve and the Post Olympic Effect is found to occur in France and Italy with an over-expansion in government size as far as FIFA is concerned. The effect is partially supported in Greece, Spain, and South Korea as the Summer Olympic Games are considered with an over-expansion in government size.

Suggested Citation

  • Sheng-Tung Chen, 2016. "A Fiscal View on Analyzing the Impact of Organizing Mega Sporting Events," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 12(2), pages 205-226, August.
    • Handle: RePEc:jec:journl:v:12:y:2016:i:2:p:205-226
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    References listed on IDEAS

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    1. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    2. Balassa, Bela, 1978. "Exports and economic growth : Further evidence," Journal of Development Economics, Elsevier, vol. 5(2), pages 181-189, June.
    3. Gerd Ahlert, 2001. "The Economic Effects of the Soccer World Cup 2006 in Germany with Regard to Different Financing," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 109-127.
    4. Jesús Crespo Cuaresma & Gerhard Reitschuler, 2004. "A non-linear defence-growth nexus? evidence from the US economy," Defence and Peace Economics, Taylor & Francis Journals, vol. 15(1), pages 71-82, February.
    5. Hansen Bruce E., 1997. "Inference in TAR Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(1), pages 1-16, April.
    6. Ram, Rati, 1986. "Government Size and Economic Growth: A New Framework and Some Evidencefrom Cross-Section and Time-Series Data," American Economic Review, American Economic Association, vol. 76(1), pages 191-203, March.
    7. Holger Preuss, 2004. "The Economics of Staging the Olympics," Books, Edward Elgar Publishing, number 3473, June.
    8. Chien-Chiang Lee & Sheng-Tung Chen, 2007. "Non-Linearity In The Defence Expenditure - Economic Growth Relationship In Taiwan," Defence and Peace Economics, Taylor & Francis Journals, vol. 18(6), pages 537-555.
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    Keywords

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    JEL classification:

    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • H61 - Public Economics - - National Budget, Deficit, and Debt - - - Budget; Budget Systems

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