IDEAS home Printed from https://ideas.repec.org/a/sae/jospec/v14y2013i2p133-147.html
   My bibliography  Save this article

Socioeconomic Determinants of Success at the Summer Paralympics

Author

Listed:
  • Caroline Buts
  • Cind Du Bois
  • Bruno Heyndels
  • Marc Jegers

Abstract

For the first time, the determinants of a country’s success at the Paralympic Games are studied, using data from four editions, starting in 1996. By means of a tobit panel, the authors find that gross domestic product (GDP) per capita, population, having many participants per million inhabitants, being a former communist country, hosting the Paralympics, being a former host, and surface are positively related to success as measured by the (weighted) number of medals won. Deviations from the ideal temperature to practice sports negatively affect Paralympic success.

Suggested Citation

  • Caroline Buts & Cind Du Bois & Bruno Heyndels & Marc Jegers, 2013. "Socioeconomic Determinants of Success at the Summer Paralympics," Journal of Sports Economics, , vol. 14(2), pages 133-147, April.
    • Handle: RePEc:sae:jospec:v:14:y:2013:i:2:p:133-147
    DOI: 10.1177/1527002511416511
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1527002511416511
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1527002511416511?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Wladimir Andreff & Stefan Szymanski (ed.), 2006. "Handbook on the Economics of Sport," Books, Edward Elgar Publishing, number 3274.
    2. Kuper, Gerard & Sterken, Elmer, 2001. "Olympic participation and performance since 1896," CCSO Working Papers 200104, University of Groningen, CCSO Centre for Economic Research.
    3. Robert Hoffmann & Lee Chew Ging & Bala Ramasamy, 2004. "Olympic Success and ASEAN Countries," Journal of Sports Economics, , vol. 5(3), pages 262-276, August.
    4. Wladimir Andreff, 2001. "The Correlation between Economic Underdevelopment and Sport," Post-Print halshs-00274657, HAL.
    5. Imad A. Moosa & Lee Smith, 2004. "Economic Development Indicators as Determinants of Medal Winning at the Sydney Olympics: An Extreme Bounds Analysis," Australian Economic Papers, Wiley Blackwell, vol. 43(3), pages 288-301, September.
    6. Wladimir Andreff & Stefan Szymanski, 2006. "Handbook on the Economics of Sport," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00270122, HAL.
    7. Hon‐Kwong Lui & Wing Suen, 2008. "Men, Money, And Medals: An Econometric Analysis Of The Olympic Games," Pacific Economic Review, Wiley Blackwell, vol. 13(1), pages 1-16, February.
    8. Alexander Rathke & Ulrich Woitek, 2008. "Economics and the Summer Olympics," Journal of Sports Economics, , vol. 9(5), pages 520-537, October.
    9. Moonjoong Tcha, 2004. "The Color of Medals," Journal of Sports Economics, , vol. 5(4), pages 311-328, November.
    10. Moonjoong Tcha & Vitaly Pershin, 2003. "Reconsidering Performance at the Summer Olympics and Revealed Comparative Advantage," Journal of Sports Economics, , vol. 4(3), pages 216-239, August.
    11. Robert Hoffmann & Lee Chew Ging & Bala Ramasamy, 2002. "Public policy and olympic success," Applied Economics Letters, Taylor & Francis Journals, vol. 9(8), pages 545-548.
    12. Sandrine Poupaux, 2006. "Soviet and Post-Soviet Sport," Chapters, in: Wladimir Andreff & Stefan Szymanski (ed.), Handbook on the Economics of Sport, chapter 31, Edward Elgar Publishing.
    13. Daniel K. N. Johnson & Ayfer Ali, 2004. "A Tale of Two Seasons: Participation and Medal Counts at the Summer and Winter Olympic Games," Social Science Quarterly, Southwestern Social Science Association, vol. 85(4), pages 974-993, December.
    14. Madeleine Andreff & Wladimir Andreff & Sandrine Poupaux, 2008. "Les Determinants Economiques de la Performance Olympique," Working Papers 0819, International Association of Sports Economists;North American Association of Sports Economists.
    15. Andrew B. Bernard & Meghan R. Busse, 2004. "Who Wins the Olympic Games: Economic Resources and Medal Totals," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 413-417, February.
    16. repec:dgr:rugccs:200104 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Franklin G. Mixon Jr. & Richard J. Cebula, 2022. "Property Rights Freedom and Innovation: Eponymous Skills in Women's Gymnastics," Journal of Sports Economics, , vol. 23(4), pages 407-430, May.
    2. Vagenas, George & Vlachokyriakou, Eleni, 2012. "Olympic medals and demo-economic factors: Novel predictors, the ex-host effect, the exact role of team size, and the “population-GDP” model revisited," Sport Management Review, Elsevier, vol. 15(2), pages 211-217.
    3. Kavetsos, Georgios & Szymanski, Stefan, 2010. "National well-being and international sports events," Journal of Economic Psychology, Elsevier, vol. 31(2), pages 158-171, April.
    4. Pedro Garcia‐del‐Barrio & Carlos Gomez‐Gonzalez & José Manuel Sánchez‐Santos, 2020. "Popularity and Visibility Appraisals for Computing Olympic Medal Rankings," Social Science Quarterly, Southwestern Social Science Association, vol. 101(5), pages 2137-2157, September.
    5. Martin Grancay & Tomas Dudas, 2018. "Olympic Medals, Economy, Geography and Politics from Sydney to Rio," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(2), pages 409-441, Spring.
    6. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. T. Potts, 2014. "Governance, corruption and Olympic success," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3882-3891, November.
    8. David Forrest & Adams Ceballos & Ramón Flores & Ian G. McHale & Ismael Sanz & J.D. Tena, 2012. "Explaining and Forecasting National Team Medals Totals at the Summer Olympic Games," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 13, Edward Elgar Publishing.
    9. Todd B. Potts, 2022. "Does it pay to Play by the Rules? Respect for Rule of law, Control of Corruption, and National Success at the Summer Olympics," Journal of Sports Economics, , vol. 23(2), pages 222-245, February.
    10. Pravin K. Trivedi & David M. Zimmer, 2014. "Success at the Summer Olympics: How Much Do Economic Factors Explain?," Econometrics, MDPI, vol. 2(4), pages 1-34, December.
    11. Loek Groot, 2012. "The Contest for Olympic Success as a Public Good," Journal of Income Distribution, Ad libros publications inc., vol. 21(1), pages 102-117, March.
    12. John Manuel Luiz & Riyas Fadal, 2011. "An economic analysis of sports performance in Africa," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 38(10), pages 869-883, August.
    13. Carl Singleton & J. James Reade & Johan Rewilak & Dominik Schreyer, 2021. "How big is home advantage at the Olympic Games?," Economics Discussion Papers em-dp2021-13, Department of Economics, University of Reading.
    14. Leeds Eva Marikova & Leeds Michael A., 2012. "Gold, Silver, and Bronze: Determining National Success in Men’s and Women’s Summer Olympic Events," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 279-292, June.
    15. Marcus Noland, 2016. "Russian Doping in Sports," Working Paper Series WP16-4, Peterson Institute for International Economics.
    16. Marcus Noland & Kevin Stahler, 2017. "An Old Boys Club No More," Journal of Sports Economics, , vol. 18(5), pages 506-536, June.
    17. Marcus Noland & Kevin Stahler, 2016. "Asian Participation and Performance at the Olympic Games," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 70-90, January.
    18. Jie Wu & Zhixiang Zhou & Liang Liang, 2010. "Measuring the Performance of Nations at Beijing Summer Olympics Using Integer-Valued DEA Model," Journal of Sports Economics, , vol. 11(5), pages 549-566, October.
    19. Alvarez, J. & Forrest, D. & Sanz, I. & Tena, J.D., 2011. "Impact of importing foreign talent on performance levels of local co-workers," Labour Economics, Elsevier, vol. 18(3), pages 287-296, June.
    20. Glen Roberts, 2006. "Accounting for Achievement in Athens: A Count Data Analysis of National Olympic Performance," Econometrics Working Papers 0602, Department of Economics, University of Victoria.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jospec:v:14:y:2013:i:2:p:133-147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.