입지지수와 포아송 회귀모형을 활용한 사회적기업의 입지분포 특성 -충청남도를 사례로-

Abstract

This study analyzed the characteristics of locational distribution by applying location quotients and poisson regression models to social enterprises in Chungcheongnam-do. The analysing result showed that more than half of the social enterprises in Chungcheongnam-do are located in the northern region, and a relatively larger number of social enterprises are distributed in ‘city’ than in ‘county’ classifications. It was also found that ‘job-providing type’ is dominant among the various types of social purpose realization. The results of location quotient calculations, Asan-si is located for the convenience of local residents, whereas Gongju-si is arranged with the purpose of providing tourist services and supplying social services to vulnerable populations. Furthermore, Nonsan city is located for the purpose of providing jobs and social services based on both the primary industry and traditional culture industry. According to the results of the poisson regression analysis, the major factors which are affecting the distribution of social enterprises include the number of productive populations, the number of non-productive populations, the number of enterprises with similar types of industry, the number of financial institutions and the number of schools. With these, there is a statistically significant negative (-) correlation. Therefore, the number of productive and non-productive populations have a negative impact on the location of social enterprises depending on the population structures of each city and county as well as the purposes of the social enterprises. In addition, the number of enterprise with similar types of industry suggests that social enterprises are growing in the form of an independent enterprises without being influenced by the accumulation economic effects and the conditions for the construction of networks among social enterprises in Chungcheongnam-do are relatively insufficient. Finally, the region in which social enterprises are located based on the number of schools is likely to be a depressed area where the income level is low, and the comfort of the settlement environment is also somewhat lower.