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Was COVID-19 a Game Changer for the Tokyo and Beijing Olympics?

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  • Xuepeng Liu
  • Emanuel Ornelas
  • Huimin Shi

Abstract

No, it was not. We do not find evidence that the COVID-19 pandemic affected the distribution of medals in a systematic way. Countries that suffered a higher share of deaths due to the pandemic, or that imposed stricter lockdowns, performed just as prior performances and standard economic and demographic variables alone would have predicted. Hence, while COVID-19 has surely affected the performance of some individual athletes, it did not have a perceptible effect on the distribution of medals across countries. The only impact of the pandemic on the outcome of the Games was to reduce the advantage that host countries traditionally have. This effect, probably caused by the lack of local spectators in most competitions, was particularly strong for teams’ events, where the “host effect†vanished.

Suggested Citation

  • Xuepeng Liu & Emanuel Ornelas & Huimin Shi, 2024. "Was COVID-19 a Game Changer for the Tokyo and Beijing Olympics?," Journal of Sports Economics, , vol. 25(7), pages 866-886, October.
    • Handle: RePEc:sae:jospec:v:25:y:2024:i:7:p:866-886
    DOI: 10.1177/15270025241269957
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    References listed on IDEAS

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    1. Marcus Noland & Kevin Stahler, 2017. "An Old Boys Club No More," Journal of Sports Economics, , vol. 18(5), pages 506-536, June.
    2. Fischer, Kai & Reade, J. James & Schmal, W. Benedikt, 2021. "The long shadow of an infection: COVID-19 and performance at work," DICE Discussion Papers 368, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    3. Xuepeng Liu & Emanuel Ornelas & Huimin Shi, 2022. "The trade impact of the COVID‐19 pandemic," The World Economy, Wiley Blackwell, vol. 45(12), pages 3751-3779, December.
    4. Bryson, Alex & Dolton, Peter & Reade, J. James & Schreyer, Dominik & Singleton, Carl, 2021. "Causal effects of an absent crowd on performances and refereeing decisions during Covid-19," Economics Letters, Elsevier, vol. 198(C).
    5. Johan Rewilak, 2021. "The (non) determinants of Olympic success," Journal of Sports Economics, , vol. 22(5), pages 546-570, June.
    6. 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.
    7. Stefan Szymanski, 2010. "The Economic Design of Sporting Contests," Palgrave Macmillan Books, in: The Comparative Economics of Sport, chapter 1, pages 1-78, Palgrave Macmillan.
    8. 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.
    9. Luca De Angelis & J. James Reade, 2023. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Annals of Operations Research, Springer, vol. 325(1), pages 391-418, June.
    10. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    11. Cueva, Carlos, 2020. "Animal Spirits in the Beautiful Game. Testing social pressure in professional football during the COVID-19 lockdown," OSF Preprints hczkj, Center for Open Science.
    12. 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.
    13. Carl Singleton & Alex Bryson & Peter Dolton & James Reade & Dominik Schreyer, 2022. "Economics lessons from sports during the COVID-19 pandemic," Chapters, in: Paul M. Pedersen (ed.), Research Handbook on Sport and COVID-19, chapter 2, pages 9-18, Edward Elgar Publishing.
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