Statistical data analysis for investigating Japanese government subsidy policy for private universities

This paper aims at investigating Japanese government’s subsidy policy for private universities by applying statistical approaches to various types of quantitative data. Firstly, we briefly describe the history of the government subsidy policy to identify the dominant factors behind it and also explain the structure and mechanism of this subsidy. Secondly, by using 2005 data, we try to find influential factors in allocating both general subsidies and special subsidies for private universities. Thirdly, using the data in two periods given as 1975–1979 and 2000–2004, we try to elucidate the structural properties of the subsidy policy by applying correlative rank analyses approaches in order to measure the “dominance power” of the top-ranking subsidy-recipient schools. The results show that the number of faculty members is the most influential for general subsidies, while the number of students is the most dominant variable for special subsidies.