국가의 인구규모, 경제수준이 선수규모 및 동 · 하계 올림픽 성적에 미치는 영향 (The Effect of Economic Power and Population Size on the Athletic's Size and Olympic Achievements)

서지정보

· 발행기관 : 한국체육정책학회
· 수록지 정보 : 한국체육정책학회지 / 11권 / 2호 / 97 ~ 109페이지
· 저자명 : 이장영, 강효민

초록

This paper explores the relationship between nation's competitiveness and Olympic results of 2008 Beijing and 2010 Vancouver. We used economic level, population size, number of athletics, number of Olympic medals and path analysis to find out the relationships of these variables. We analyzed these data by correlation coefficient, regression analysis, and path analysis. We chose every nation which has at least one bronze medal as a unit of analysis. We found the following outcomes from the analysis of Beijing Olympic. First, the direct effect of population size on medals is positive but weak. Second, the indirect effect of population size on medals is positive and about twice larger than that of direct effect. Third, the direct effect of GDP on medals is negative and very weak. Fourth, the indirect effect of GDP on medals is positive and about ten times larger than that of direct effect. Fifth, the most effective path on medals is the number of athletics which come from population size and GDP. We also found the following outcomes from the analysis of Vancouver Olympic. First, the direct effect of population size on medals is statistically not important. Second, the indirect effect of population size on medals is positive and about 2.3 times larger than that of direct effect. Third, the direct effect of GDP on medals is positive and statistically significant. Fourth, the indirect effect of GDP on medals is positive and 2.4 times larger than that of direct effect. Fifth, the most effective path on medals is the number of athletics which come from GDP. We concluded that population is important variable in summer Beijing Olympic and that GDP is important variable in winter Vancouver Olympic.

영어초록

This paper explores the relationship between nation's competitiveness and Olympic results of 2008 Beijing and 2010 Vancouver. We used economic level, population size, number of athletics, number of Olympic medals and path analysis to find out the relationships of these variables. We analyzed these data by correlation coefficient, regression analysis, and path analysis. We chose every nation which has at least one bronze medal as a unit of analysis. We found the following outcomes from the analysis of Beijing Olympic. First, the direct effect of population size on medals is positive but weak. Second, the indirect effect of population size on medals is positive and about twice larger than that of direct effect. Third, the direct effect of GDP on medals is negative and very weak. Fourth, the indirect effect of GDP on medals is positive and about ten times larger than that of direct effect. Fifth, the most effective path on medals is the number of athletics which come from population size and GDP. We also found the following outcomes from the analysis of Vancouver Olympic. First, the direct effect of population size on medals is statistically not important. Second, the indirect effect of population size on medals is positive and about 2.3 times larger than that of direct effect. Third, the direct effect of GDP on medals is positive and statistically significant. Fourth, the indirect effect of GDP on medals is positive and 2.4 times larger than that of direct effect. Fifth, the most effective path on medals is the number of athletics which come from GDP. We concluded that population is important variable in summer Beijing Olympic and that GDP is important variable in winter Vancouver Olympic.

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