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Asian Participation and Performance at the Olympic Games

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  • Marcus Noland
  • Kevin Stahler

Abstract

This paper examines Asian exceptionalism at the Olympics. Northeast Asian countries conform to the statistical norm, whereas the rest of Asia lags, but this result obscures underlying distinctions. Asian women do better than men. Non‐Northeast Asia's relative underperformance is due to the men. Asian performance is uneven across events, finding more success in culturally connected and weight‐stratified contests. The models imply that China, Japan, and South Korea will place among the top 10 medaling countries at the 2016 Games, whereas China will continue to close the medal gap with the United States.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:asiapr:v:11:y:2016:i:1:p:70-90
    DOI: 10.1111/aepr.12118
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    1. 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.
    2. Robert Hoffmann & Lee Chew Ging & Bala Ramasamy, 2004. "Olympic Success and ASEAN Countries," Journal of Sports Economics, , vol. 5(3), pages 262-276, August.
    3. Marcus Noland & Kevin Stahler, 2016. "What Goes into a Medal: Women's Inclusion and Success at the Olympic Games," Social Science Quarterly, Southwestern Social Science Association, vol. 97(2), pages 177-196, June.
    4. Javier Otamendi & Luis M. Doncel, 2014. "Medal Shares in Winter Olympic Games by Sport: Socioeconomic Analysis After Vancouver 2010," Social Science Quarterly, Southwestern Social Science Association, vol. 95(2), pages 598-614, June.
    5. 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.
    6. Marcus Noland & Kevin Stahler, 2015. "An Old Boys' Club No More: Pluralism in Participation and Performance at the Olympic Games," Working Paper Series WP15-9, Peterson Institute for International Economics.
    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. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    9. Michael W. Klein, 2004. "Work and Play," Journal of Sports Economics, , vol. 5(3), pages 227-242, August.
    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. Aaron Lowen & Robert O. Deaner & Erika Schmitt, 2016. "Guys and Gals Going for Gold," Journal of Sports Economics, , vol. 17(3), pages 260-285, April.
    12. Pfau, Wade Donald, 2006. "Predicting the Medal Wins by Country at the 2006 Winter Olympic Games: An Econometrics Approach," MPRA Paper 18829, University Library of Munich, Germany.
    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. 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.
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    Cited by:

    1. David Forrest & J. D. Tena & Carlos Varela-Quintana, 2023. "The influence of schooling on performance in chess and at the Olympics," Empirical Economics, Springer, vol. 64(2), pages 959-982, February.
    2. 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).
    3. 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.
    4. Globan, Tomislav & Jägers, Ed, 2016. "Do some teams consistently underperform against same opponents? - The curious case of the Croatian football league," MPRA Paper 75082, University Library of Munich, Germany.
    5. Yukinobu Kitamura, 2016. "Comment on “Asian Participation and Performance at the Olympic Games”," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 91-92, January.
    6. Takatoshi Ito & Kazumasa Iwata & Colin McKenzie & Marcus Noland & Shujiro Urata, 2016. "The Economics of Sport in Asia: Editors' Overview," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 1-15, January.
    7. Eiji Yamamura & Yoshiro Tsutsui, 2020. "The Impact of Postponing 2020 Tokyo Olympics on the Happiness of O-MO-TE-NA-SHI Workers in Tourism: A Consequence of COVID-19," Sustainability, MDPI, vol. 12(19), pages 1-16, October.
    8. 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.
    9. Yosuke Yasuda, 2016. "Comment on “Asian Participation and Performance at the Olympic Games”," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 93-94, January.

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    More about this item

    JEL classification:

    • F69 - International Economics - - Economic Impacts of Globalization - - - Other
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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