Success at the Summer Olympics: How Much Do Economic Factors Explain?

The less obvious effect of hosting the Olympics on sporting performance

Hosting the Olympics has long been claimed to bring a financial return on investment. When this cannot clearly demonstrated, the medal surplus associated with host status is usually highlighted. We investigate the magnitude of having a home advantage at the recent Summer Olympic Games (1996-2021) separately for each organising country and by gender. Beside the host effect, the ex-ante and post impact on the medal surplus is also investigated in the same way. We analyse this effect using three models at the level of total medals, and medals won by men, and by women. Because of the number of zero observation in the response variable, we employ a zero-inflated negative binomial estimator. Our results cast some doubt on the claim of a host effect of the Olympics: when we control for socioeconomic variables in the models, the host effect fades away. Any host effect is clearer for medals won by men. Ex-ante and post effects on host countries are detectable in some cases but also fade with the inclusion of control variables. Based on our results, the medal surplus associated with the hosting of the Olympics is less evident than reported in literature or public discourse.

Women in International Elite Athletics: Gender (in)equality and National Participation

Gender discrimination has been strongly related to the suppression of women's participation in sport. Accordingly, gender (in)equality has proven to be an important determinant for the participation and the success of countries in international women's elite sport. Hence, differences in gender (in)equalitity, such as women's participation in the labor force, fertility rates, tradition of women suffrage or socio-economic status of women, could be linked to success in international women's elite sports. While major international sport governing bodies have created programs to subsidize the development of women's sports in member countries, gender equality has figured rather low within the International Amateur Athletics Federation (IAAF) (now World Athletics). Therefore, the paper examines the impact of gender (in)equality on country participation in international athletics on the base of a unique dataset on season's bests. The results provide further support that gender inequality matters and is associated with participation in women's elite sports. Whereas, women's participation in athletics has made considerable progress in the past two decades as a side-effect of the IAAF's decentralization strategy, the analyses illustrate the need for better targeted and better resourced development programs for increasing participation of less gender equal countries. Moreover, the analyses indicate the limitations of a pure macro-social approach as there are some rather unexpected dynamic developments, such as, the substantial progress of women's athletics in the Islamic Republic of Iran as a country with strong Muslim religious affiliation. The results from this analysis were used to provide practical implications.

Running Performance Variability among Runners from Different Brazilian States: A Multilevel Approach

The ecological model theory highlights that human development (or a given behavior) is the result of the interaction of variables derived from different levels, comprising those directly related to the subjects and those related to the environment. Given that, the purpose of this study is to establish whether runners' performance may vary among different Brazilian states, as the factors associated with this difference. The sample comprised 1151 Brazilian runners (61.8% men) that completed an online questionnaire, providing information about biological (sex, age, height, and weight), training (running pace, frequency and volume/week, and motivation), sociodemographic (place of residence and wage) aspects, and perceptions about the environmental influences on the practice. Information about state variables was obtained from official institutes, and comprised the human development index (HDI), athletics events, and violence index. Multilevel analysis was conducted in HLM software. State-level characteristics explained ≈3% of the total variance in running performance. Of the total variance explained for the individual level, 56.4% was associated with male sex (β = -54.98; p < 0.001), age (β = 1.09; p < 0.001), body mass index (β = 6.86; p < 0.001), economic status (β = 6.23; p = 0.003), the perception of the natural environment (β = 7.58; p = 0.02), training frequency (β = -16.64; p < 0.001), and weekly volume (β = -0.30; p < 0.001). At the state level, only athletics events presented a positive and significant influence on performance. There is a significant role of the environment on the explanation of running performance variability, and given the diversity across states, environmental variables should not be neglected, as they are relevant to the exploration of other variables possibly related to running performance.