Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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An Empirical Study on the Analysis Model for Self Powered University Selection using University Information DB

대학 정보공시 데이터베이스(DB)를 활용한 자율개선대학선정 예측에 관한 실증연구

  • Chae, Dong Woo (Department of Economics, Graduate School of Hoseo University) ;
  • Jeon, Byung Hoon (Graduate School of Hoseo University, Department of Business) ;
  • Jung, Kun Oh (Department of Global Commerce Hoseo University Cheonan Campus)
  • Received : 2021.08.31
  • Accepted : 2021.12.27
  • Published : 2021.12.31
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Abstract

Due to the decrease in the school-age population and government regulations, universities have made great efforts to secure their own competitiveness. In particular, the selection of universities with financial support based on the recent evaluation of the Ministry of Education has become a major concern enough to affect the existence of the university itself. This paper extracts three-year data from 124 major private universities nationwide, and quantitatively analyzes the variables of major universities selected as self-improvement universities, competency reinforcement universities, and universities with limited financial support. As a result of estimating the selection of self-powered universities using the ordered logit model by hierarchically inputting 12 variables, student competitiveness in the metropolitan area (1.318**), Educational Restitution Rate (4.078***), University operation expenditure index rate (1.088***) values were found. Significant positive coefficient values were found in the admission enrollment rate (45.98***) and the enrollment rate (13.25***). As a result of analyzing the marginal effects, the increase in the rate of reduction of education costs has always been positive in the selection of self-powered universities, but it was observed that the rate of increase decreases in areas of increase of 150% or more. On the contrary, the probability of becoming a Em-powered university was negative in all sectors, but on the contrary, it was analyzed that marginal effects increased at the same time point. On the other hand, the employment rate of graduates was not able to find direct significance with the result of the selection of Self powered universities. Through this paper, it is expected that each university will analyze the possibility and shortcomings of the selection of Self powered universities in policy making, and in particular, the risk of dropout of selection for the vulnerable field can be predicted using marginal effects. It can be used as major research data for both university evaluators, university officials and students.

Keywords

Acknowledgement

This research was supported by the Academic Research Fund of Hoseo University in 2020(Research No : 2020-0838). We would like to express our sincere thanks once again to three anonymous reviewers who provided constructive and developmental opinions to publish this manuscript.

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