A Study on the Measurement of Regional Sports Productivity Changes and their Reasons in Korea
Department of Trade
Korea Maritime and Ocean University
This study tries to measure the sport productivity of Korean regions using the numbers of medals that adult and young people obtain in the annual national sport events. In this study, we use the statistical out data and input data of 4 years. Also we try to find out some reasons for the productivity change and the differences among regions. From this study, we can make some conclusions as follows.
Firstly, densely-populated areas show the lower productivity in both adult sport and young people's sport. This means that large cities can use more sport budget and have more population than small countries, but the efficiencies in more densely-populated areas are lower than those in less-densely populated areas. Therefore we should consider the sport resources allocation between urban areas and rural areas.
Probably, rural people are expected to have more combative minds and more active attitudes in comparison with urban people.
In terms of the regional allocation of sport budget, rural areas have less privileges than urban areas. So we should think fair allocations between rural and urban areas considering the results of sport performance.
Secondly, under both the assumptions of constant returns of scale and variable returns of scale, the measurement results between adult and young people are very similar, which means that our results show the consistent results with our empirical experiences. We have some formulae such as rural-high productivity and urban-low productivity. Policy implication is that government officials should make efforts to allocate equitably the national sport budgets among regions and try to reduce the regional inequality in terms of sports.
Thirdly, Economic factors such as unemployment rates and death rates have some influences on the sport productivity consistent with economic thinking. The high employment and high death rate areas show lower sport productivity compared with the other areas.
Fourthly, in terms of total medals among regions, influential factors are regional per capita GRP and sport facilities. This means that economic factors have more influences on the sport performances even if some other non-economic factors such as sport minds and spirits have some influences.
This study finds out many significant results , but have some limitations.
In future study, more time series data should be used and we should trace out periodical trends. The more comprehensive data will give more confidence on this study results and strengthen our implications obtained from our study. Also we should think other methods to measure the productivity such as stochastic frontier methods(SFA) or other econometric methods.