한국 대학의 운영 효율성 평가에 관한 연구 -Bootstrap DEA와 Tobit Regression을 중심으로-A Study on Evaluation of Operational Efficiency of the Korean University - Based on Bootstrap DEA and Tobit Regression -
- Other Titles
- A Study on Evaluation of Operational Efficiency of the Korean University - Based on Bootstrap DEA and Tobit Regression -
- Authors
- 김용희; 박영주; 최정일; 이원철
- Issue Date
- Mar-2014
- Publisher
- 한국경영공학회
- Keywords
- Bootstrap; DEA; Operational Efficiency of University; Tobit Regression; Wilcoxon Test
- Citation
- 한국경영공학회지, v.19, no.1, pp.57 - 75
- Journal Title
- 한국경영공학회지
- Volume
- 19
- Number
- 1
- Start Page
- 57
- End Page
- 75
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/10242
- ISSN
- 2005-7776
- Abstract
- A rapid quantitative expansion of education in South Korea has emerged to reach a world-class university enrollment rate. Previous studies related to university management have been presented with unclear concept of the efficiency and arbitrary interpretation of assessment. In addition, there were many cases that were limited to the analysis in a few ways. Therefore, this study attempts to measure the more accurate efficiency through the Bootstrap method proposed by Simar and Wilson (2007), in order to complement the lack of previous research on university management.
This paper attempts to provide the better accurate results by removing the bias of the estimates through bootstrap DEA proposed by Simar and Wilson(2007) and analyze the operational efficiency through CCR(Charnes, Cooper, Rhode) and BCC(Banker, Charnes, Cooper) models. It also analyzed the causes of efficiency by Tobit Regression after setting the dependent variable as a proposed efficiency score. Moreover, this study attempts to identify whether there is a difference in the efficiency sector by geographic, establishment type or size through the Wilcoxon test.
This study provides the grounds estimating the efficiency more accurate compared to the previous studies. Moreover, this study analyzes the cause of efficiency to understand which determinant influences the efficiency of the University. Finally, it also helps find the causes of efficiency in various aspects by analyzing the differences in efficiency between the groups.
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