자료포락분석을 통한 대학의 상대적 효율성 평가연구

A Study on the Performance Evaluation of Universities: An Application of Data Envelopment Analysis

&nbsp;&nbsp;대학은 전통적인 목적이 이윤극대화가 아니고, 공익을 위하여 서비스를 제공하는 것이어서 그 가치를 평가하기가 곤란하며, 최종서비스에 대한 성과치를 측정하기가 쉽지가 않다. 대학의 산출가격이 시장가격을 제대로 반영하지 못하는 현실에서 민간부문에서 활용되고 있는 평가방식을 대학에 적용하기는 어렵다. 따라서 본 연구의 38개 대상 기관(DMU)의 상대적 효율성 평가는 공공부문에서 적용되고 있는 자료포락분석(DEA)를 적용하였다.<BR>&nbsp;&nbsp;효율성분석결과 DMUs의 효율치가 “1”은 19개 대학이며, 대학설립, 규모별, 소재지역별 차이분석과 다중회귀분석 결과로 적정한 대학규모가 상대적 효율성이 높은 것으로 나타났다.

&nbsp;&nbsp;In recent years, the management environment of Korean universities has changed rapidly to gain more competitiveness. Leading universities, already having established a good reputation, will survive and grow continuously, whilst average universities may experience a serious crisis if not attending to the needs of the university. To promote a universitys efficiency or management, we will need more accurate methods such as the DEA (Data Envelopment Analysis) to identify the inefficient parts. This study has examined DEA and how it measures the efficiency of university units. This study has also suggested various approaches to promote efficiency. Data Envelopment Analysis is a useful nonparametric method to evaluate the relative efficiency of a set of decision-making units (DMUs) with multiple inputs and outputs. This study has evaluated 38 different Korean universities utilizing the National Citation Report (NCR) focusing on the years between 1995 and 2003. The outcome of this evaluation is as follows: Out of 38 universities, are the 19 efficient units i.e efficient universities (the value of efficiency is 100%). This study can provide substantial guidance for enhancing the competitiveness between universities, through identifying problematic areas within the input factors and, by doing so, improving the output factors. The overall results can contribute to the improvement of efficiency and competitiveness of Korean universities.