Hosting the Olympic Games—Revisiting the Connection between Hosting the Games and Olympic Success

Jaana T. Kari, Esa Mangeloja, Timo Tohmo

Abstract: The Olympic Games are considered the world’s foremost sports competition attracting more than 200 participating nations. This paper analyzes the country-specific successes in the Summer Olympic Games held from 1960–2016. Several studies have documented that macroeconomic factors affect Olympic success. In addition, the host effect has been found to impact the success; however, it is unknown for how many years before and after the home Games the host effect can be detected. We found that the experience as a Games organizer, GDP, population, the country’s share of agricultural land, military expenses, and life expectancy are positively related to Olympic success. Specifically, we found an inverted U-shaped connection between the host effect and Olympic success: being a host country is found to be a positive factor in explaining the number of medals won, not just during the home Games but also eight years before and after organizing the Games. This finding suggests that hosting the Olympic Games should be seen as a long-term fixed investment, which produces success for the organizing countries several years before and after the Games.

Keywords: Sports economics, Olympic Games, hosting Games, macroeconomic factors, success

Citation: Kari, J. T., Mangeloja, E., & Tohmo, T. (2022). Hosting the Olympic Games—Revisiting the connection between hosting the Games and Olympic success. International Journal of Sport Management, 23(3), 201-229.

References

  • Amore, M.D., & Murtinu, S. (2021). Tobit models in strategy research: Critical issues and applications. Global Strategy Journal, 11(3), 331-355.
  • Barro R.J., & Sala-I-Martin X.I. (1995). Economic growth. McGraw-Hill, New York
  • Bernard, A.B., & Busse, M.R. (2004). Who wins the Olympic Games: Economic resources and medal totals. Review of economics and statistics, 86(1), 413–417.
  • Bernard, A.B., & Busse, M.R. (2000). Who wins the Olympic Games: Economic development and medal totals (NBER working paper No. 7998). Retrieved June 2, 2022 from National Bureau of Economic Research website: http://papers.ssrn.com
  • Bredtmann, J., Crede, C.J., & Otten, S. (2016). Olympic medals: Does the past predict future? Significance, 13(3), 22-25. doi: 10.1111/j.1740-9713.2016.00915.x.
  • Cashman, R. (2006). The bitter-sweet awakening: The legacy of the Sydney 2000 Olympic Games, 2006 Walla Walla Press Sydney. NSW.
  • De Bosscher, V. (2007). Sports policy factors leading to international sporting success. Doctoral thesis, Vrije Universiteit Brussel, Brussel, VUBPRESS.
  • De Bosscher, V., Heyndels, B., De Knop, P., van Bottenburg, M., & Shibli, S. (2008a). The paradox of measuring success of nations in elite sport. Belgeo. Revue Belge de Géographie, 2, 217–234.
  • De Bosscher, V., Bingham, J., Shibli, S., van Bottenburg, M., & De Knop, P. (2008b). The global sporting arms race: An international comparative study on sports policy factors leading to international sporting success. Meyer & Meyer Verlag.
  • De Bosscher, V., De Knop, P., Van Bottenburg, M., & Shibli, S. (2006). A conceptual framework for analysing sports policy factors leading to international sporting success. European Sport Management Quarterly, 6, 185–215.
  • Den Butter, F.A.G., & Van Der Tak, C.M. (1995). Olympic medals as an indicator of social welfare. Social Indicators Research, 35(1), 27–37.
  • Celik, O.B., & Gius, M. (2014). Estimating the determinants of summer Olympic Game performance. International Journal of Applied Economics, 11(1), 39–47. 
  •  Condon, E.M., Golden, B.L., & Wasil, E.A. (1999). Predicting the success of nations at the Summer Olympics using neural networks. Computers & Operations Research, 26(13), 1243–1265.
  • Flegl, M., & Andrade, L.A. (2018). Measuring countries’ performance at the Summer Olympic Games in Rio 2016. Opsearch, 55(3), 823-846. doi: 10.1007/s12597-018-0347-8.
  • Forrest, D., Sanz, I., & Tena, J.D. (2010). Forecasting national team medal totals at the Summer Olympic Games. International Journal of Forecasting. 26( 3), 576–588.
  •  Gillis, J.H. (1980). Olympic success and national religious orientation. Review of Sport and Leisure Park Forest, Ill, 5(2), 1–20.
  • Green, M., & Houlihan, B. (2005). Elite Sport Development: Policy Learning and Political Priorities (1. edition). Routledge.
  • Groot, L. (2012). The contest for Olympic success as a public good. The Journal of Income Distribution, 21(1), 102–117.
  • Gärtner, M. (1989). Socialist countries’ sporting success before Perestroika-and after?. International Review for the Sociology of Sport, 24(4), 283–297.
  • Haddad, L., Alderman, H., Appleton, S., Song, L., & Yohannes, Y. (2003). Reducing child malnutrition: How far does income growth take us? The World Bank Economic Review, 17(1), 107–131. 
  • Henry, I., Dowling, M., Ko, L.M., & Brown, P. (2020). Challenging the new orthodoxy: a critique of SPLISS and variable-oriented approaches to comparing sporting nations. European Sport Management Quarterly, 20(4), 520-536.
  • Hoffmann, R., Ging, L.C., & Ramasamy, B. (2002.) The socio-economic determinants of international soccer performance. Journal of Applied Economics, 5(2), 253–272. 
  • Hoffmann, R., Ging, L C., & Ramasamy, B. (2004). Olympic success and ASEAN countries. Journal of Sports Economics, 5(3), 262–276. 
  • Hogan, K., & Norton, K. (2000). The ‘price’ of Olympic gold. Journal of Science and Medicine in Sport, 3(2), 203–218. 
  • Houlihan, B. (2005). Public sector sport policy: Developing a framework for analysis. International Review for the Sociology of Sport, 40(2), 163-185.
  • Houlihan, B. (2009). Mechanisms of international influence on domestic elite sport policy. International Journal of Sport Policy and Politics, 1(1), 51-69.
  • Houlihan, B. (2012). Sport policy convergence: a framework for analysis. European Sport Management Quarterly, 12(2), 111-135.
  • Houlihan, B., & Zheng, J. (2013). The Olympics and elite sport policy: Where will it all end?. The International Journal of the History of Sport, 30(4), 338-355.
  • International Olympic Committee, (2016). Medals by countries. Available at: https://web.archive.org/web/20160826112710/https:/www.rio 2016.com/en/medal-count-country?rank=total 
  • Johnson, D.K., & Ali, A. (2000). Coming to play or coming to win: Participation and success at the Olympic Games. Wellesley College Dept. of Economics Working Paper, no.2000–10.
  • Johnson, D.K., & Ali, A. (2004). A tale of two seasons: Participation and medal counts at the Summer and Winter Olympic Games. Social Science Quarterly, 85(4), 974–993.
  • Jokl, E. (1964). Health, wealth and athletics. In E.S. Thomas (Eds.), International Research in Sport and Physical Education (pp. 218–222) Springfield, IL: Thomas.
  • Krishna, A., & Haglund, E. (2008). Why do some countries win more Olympic medals? Lessons for social mobility and poverty reduction. Economic and Political Weekly, pp. 143–151.
  • Kuper, G.H., & Sterken, E. (2001). Olympic Participation and Performance Since 1896. Available at SSRN: http://dx.doi.org/10.2139/ssrn.274295
  • Kuper, G.H., & Sterken, E. (2011). Determinants of participation and success at the earlier modern Olympic Games. Journal of Olympic History, 19(3), 20–29. 
  • Levine, N. (1974). Why do countries win Olympic medals–some structural correlates of Olympic Games success–1972. Sociology and Social Research, 58(4), 353–360.
  • Lozano, S., Villa, G., Guerrero, F., & Cortes, P. (2002). Measuring the performance of nations at summer Olympics Using data envelopment analysis. The Journal of the Operational Research Society, 53(5), 501-511.
  • Lui, H., & Suen, W. (2008). Men, money, and medals: An econometric analysis of the Olympic Games. Pacific Economic Review, 13(1), 1–16.
  • Masterman, G. (2014). Strategic sports event management. 3rd Edition Routledge. Pp. 436
  • McCartney, G., Thomas, S., Thomson, H., Scott, J., Hamilton, V., Hanlon, P., … & Bond, L. (2010). The health and socioeconomic impacts of major multi-sport events: systematic review (1978-2008). British Medical Journal, BMj, 340.
  • Mitchell, H., Spong, H., & Stewart, M. (2012.) Gambling with public money: An economic analysis of national sports team funding. The Economic and Labour Relations Review, 23(2), 7–22.
  • Mitchell, H., & Stewar,t M. F. (2007). A competitive index for international sport. Applied Economics, 39(5), 587–603.
  • Moosa, I.A., & Smith, L. (2004.) Economic development indicators as determinants of medal winning at the Sydney Olympics: An extreme bounds analysis. Australian Economic Papers, 43(3), 288–301. 
  • Morton, R.H. (2002). Who Won the Sydney 2000 Olympics? An Allometric Approach. Journal of the Royal Statistical Society. Series D (The Statistician), 51(2), 147-155
  • Otamendi, F.J., Doncel, L.M., & Martın-Gutierrez, C. (2020). Meeting expectations at the 2016 Rio Olympic Games: Country potential and competitiveness. Social Science Quarterly, 101(2), 656-677. doi: 10.1111/ssqu.12764
  • Preuss, H. (2006). The Olympics. In W. Andreff & S. Szymanski (Eds.), Handbook on the Economics of Sport, (pp. 183–196) Edward Elgar, Cheltenham, UK.
  • Rewilak, J. (2021). The (non) determinants of Olympic success. Journal of Sports Economics, 22(5), 546-570.
  • Rhamey, J.P., & Jr. Early, B.R. (2013). Going for the gold: Status-seeking behavior and Olympic performance. International Area Studies Review, 16(3), 244–261.
  • Riordan, J. (1993). Rewriting soviet sports history. Journal of Sport History, 20(3), 247-258.
  • Riordan, J. (2002). The impact of communism on sport. In The international politics of sport in the twentieth century (pp. 58-76). Routledge.
  • Roberts, G. (2006). Accounting for achievement in Athens: A count data analysis of national Olympic performance. University of Victoria Econometrics Working Paper EWP0602, unter: am, 2, 2007.
  • Scelles N., Andreff W., Bonnal L., Andreff M., & Favard P. (2020.) Forecasting national medal totals at the summer Olympic Games reconsidered. Social Science Quarterly, 101(2), 697-711. doi: 10.1111/ssqu.12782
  • Shibli, S., Gratton, C., & Bingham, J. (2012). A forecast of the performance of Great Britain and Northern Ireland in the London 2012 Olympic Games. Managing Leisure, 17(2-3), 274-290.
  • Shibli, S., & Bingham, J. (2008). A forecast of the performance of China in the Beijing Olympic Games 2008 and the underlying performance management issues. Managing Leisure, 13(3-4), 272-292.
  • Stamm, H., & Lamprecht, M. (2001, July). Sydney 2000, the best games ever? World Sport and Relationships of Structural Dependency. In Proceedings, 1st World Congress of Sociology of Sport (pp. 129-136), Seoul, Korea.
  • Sterken, E. (2006). Growth impact of major sporting events. European Sport Management Quarterly, 6(4), 375–389.
  • Szymanski, S. (2000). The Market for Olympic Gold Medals. World Economics, 1(4), 207-214.
  • Truno, E. (1995). Barcelona: City of sport. In: de Moragas Spà, M., & Botella, M. (1995). The Keys to Success. The social, sporting, economic and communications impact of Barcelona’92.
  • Vagenas, G., & Vlachokyriakou, E. (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, 15(2), 211–217.
  • Van Bottenburg, M. (2000.) Het topsportklimaat in Nederland [The elite sports climate in the Netherlands]. Hertogenbosch: Diopter-Janssens en van Bottenburg bv. Topsport. Rapportage Sport 2008.
  • Van Tuyckom, C., & Jöreskog, K.G C. (2012). Going for gold! Welfare characteristics and Olympic success: An application of the structural equation approach. Quality & Quantity, 46, 189–205. https://doi.org/10.1007/s11135-010-9351-7.
  • Weed, M., Coren, E., Fiore, J., Mansfield, L., Wellard, I., Chatziefstathiou, D., & Dowse, S. (2009). A systematic review of the evidence base for developing a physical activity and health legacy from the London 2012 Olympic and Paralympic Games. Department of health.
  • Wooldridge, J.M. (2010). Econometric analysis of cross section and panel data. MIT press.
  • World Bank Group, (2018). World Bank open data. Derived from: https://data.worldbank.org/
  • Wu, J., Liang, L., & Yang, F. (2009). Achievement and benchmarking of countries at the Summer Olympics using cross efficiency evaluation method. European Journal of Operational Research, 197(2), 722-730. https://doi.org/10.1016/j.ejor.2008.06.030

Discover more from International Journal of Sport Management

Subscribe now to keep reading and get access to the full archive.

Continue reading