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https://doi.org/10.1080/1331677X.2022.2080735

Assessment of Olympic performance in relation to economic, demographic, geographic, and social factors: quantile and Tobit approaches

Wang Shasha
Babar Nawaz Abbasi
Ali Sohail


Puni tekst: engleski pdf 2.875 Kb

preuzimanja: 237

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Sažetak

The sports industry’s global gain is worth drawing attention to in
the face of economics. Scholars argued that a country’s success in
sports is directly related to its economic, demographic, geographic,
and social factors. Therefore, investigating the relationship between
these factors and sports prizes could be a garment in formulating
policies for promoting sports success. Thus, this study used crosssectional
data analysis to investigate such claims based on the
recent Olympic Games of Rio 2016 from 207 countries with more
than 11,000 athletes on 306 events in 28 different sports by
employing Quantile Regression and Tobit Regression models. The
findings revealed that inflation rate in moderate performed countries;
economically active population in low, moderate, high, and
very high performed countries; and countries’ income classification
in low, moderate, high, and very high performed countries are influencing
the countries medal ranking performance in the Olympic
Games. Furthermore, countries with high temperatures are not likely
to do well in the games. However, the size of a country’s GDP level,
corruption ranking level, the number of athletes, and the topographical
nature of a country have no impact on the countries
medal ranking performance in the Olympic Games.

Ključne riječi

Olympic Games; sports performance; economic factors; demographic factors; social factors

Hrčak ID:

304281

URI

https://hrcak.srce.hr/304281

Datum izdavanja:

31.3.2023.

Posjeta: 352 *