DOI QR코드

DOI QR Code

Analysis of Operation Efficiency in Private University Using the DEA

DEA를 활용한 국내 사립대학 운영 효율성 분석

  • Received : 2020.10.26
  • Accepted : 2021.02.05
  • Published : 2021.02.28

Abstract

The structure of universities needs to be adjusted and reformed to cope with the decrease in admission resources and the quality of education due to the low birth rate and aging population. Such a policy is receiving much attention. To analyze the relative efficiency of private universities in Korea from the perspective of resource and performance, this study evaluated the efficiency of private university operation by applying a DEA(Data Envelopment Analysis) technique. The DEA measurements were compared with the diagnosis results of the department of education (Government) in 2018. The input and output variables used in the research analysis were utilized by the university's notification materials (public disclosure information). An analysis of the operational efficiency showed that 48% (12 universities) of the 25 DMUs (Decision Making Unit) were efficient for DEA-BCC models and that some of the capacity-building universities were operating efficiently. In addition, the DEA analysis found ways to improve inefficient groups through DEA-Additive results. This paper can be meaningful because it confirmed the relative efficiency of private universities and suggested improvement directions through the DEA method, which is characterized by the simultaneous consideration of various input and output factors. This will help apply the limited resources related to the input and output elements of each university.

저출산 고령화로 인한 입학자원의 감소와 교육의 질에 대처하기 위한 대학구조개혁 및 조정은 필요한 것으로 인식되고 있으며 이에 따른 국내 고등교육 시장에서 관심을 많이 받고있는 정책은 대학구조개혁이라고 할 수 있다. 국내 사립대학의 자원입력과 성과 관점에서 상대적 효율성을 분석하기 위하여 DEA 기법을 적용하여 사립대학 운영 효율성을 측정하고 평가결과를 2018년 대학기본 역량진단 실제 결과와 비교 분석함으로써 실용적 사용 가능성에 대해 확인한다. 연구분석에 사용되는 입력 및 산출변수는 대학알리미 공지자료를 이용하였다. 운영 효율성 분석결과, 25개 DMU 중에서 BCC 모델의 경우 48% (12개 대학)가 효율적인 것으로 나타났으며 자율개선대학이 아닌 역량강화 대학들 중(中) 일부가 효율적으로 운영되고 있는 것으로 나타났고 DEA 분석결과를 통하여 비효율적인 집단에 대한 개선방안을 찾아볼 수 있었다. 본 연구는 여러 입·출력요소를 동시에 고려하여 잉여, 부족값을 확인 할 수 있는 DEA-Additive 모델을 통해 사립대학의 상대적 효율성을 확인하고 개선방향을 제시하였다는 점에서 의의가 있다. 이를 통하여 각 대학 입·출력요소에 관한 제한된 자원을 효율적 활용을 적용하기 위한 노력에 도움이 될 것으로 기대한다.

Keywords

References

  1. R. D. Banker, A. Charness, W. W. Cooper, "Some Models for estimating Technical and Scale Inefficiencies in Data Envelopment Analysis", Management Science, Vol.30, No.9, pp.1078-1092, 1984. DOI: http://dx.doi.org/10.1287/mnsc.30.9.107
  2. J. Y. Um, An efficiency analysis of the graduate schools using data envelopment analysis, Ph.D dissertation, Korea university, 2010. http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=DIKO001195040
  3. D. B. Jung, A Study on the efficiency of junior colleges in Korea ; the relative efficiency using Delphi / AHP / DEA hybrid model, Ph.D dissertation, Yonsei university, Seoul, Korea, 2011. http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=DIKO0012401657
  4. S. Y. Park, A Study on the improvement measures and the evaluation on the operational efficiency for universities, Master's thesis, Kyunghee university, Seoul, Korea, 2012. http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=DIKO0012701236
  5. S. H. Park, D. H. Lee, "An analysis on the efficiency of National university by DEA", Journal of accounting and finance, pp.161-182, 2013.
  6. Y. J. Han, A Study on the performance evaluation of universities using DEA and AHP model, Master's thesis, Hanyang university, Seoul, Korea, 2014. http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=DIKO0013525157
  7. M. H. Noh, "A comparative analysis on associate college's relative efficiency : focusing on university accreditation project", The Korean Research Association for the Business Education, Vol.30, No.6, pp.49-74, 2016. www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART00218202
  8. T. H. Mun, "Financial contribution and DEA analysis on each department using education cost information", Journal of accounting and finance, Vol.36, No.4, pp.231-253, 2018. DOI: http://dx.doi.org/10.29189/KAIAIR.36.4.1
  9. B. H. Lee, A study on the development and validation of DEA models for the performance evaluation of private colleges, Ph.D dissertation, Kyungpook university, Seoul, Korea, 2019. http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=DIKO0015364070
  10. D. J. Kim, Y. G. Lee, "Analysis on the relative efficiency based on data envelopment analysis for colleges in south Korea - focuses on evaluation of basic competency in college", International journal of Contents, Vol.19, No.2, pp.491-507, 2019. https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002443117
  11. D. H. Kim, S. Y. Jung, M. Y. Lee, "Analysis on the efficiency of private universities according to the university structural reform policy : focused on the university basic competency diagnosis", The Korean Society of Management Consulting, Vol.20, No.3, pp.191-200, 2020. http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=ART002622590
  12. M. Khodabkhshi, Y. Gholami, H. Kheirollahi, "An additive model approach for estimating returns to scale in imprecise data envelopment analysis", Applied Mathematical Modeling, Vol.34, No.5, pp.1247-1257, 2010. https://www.sciencedirect.com/science/article/pii/S0307904X0900242X https://doi.org/10.1016/j.apm.2009.08.011
  13. C. J. Lee, C. S. Park, J. S. Kim, J. G. Baek, "A study on improving classification performance for manufacturing process data with multicollienearity and imbalanced distribution", Journal of the Korean Institute of Industrial Engineers, Vol.41, No.1, pp.25-33, 2015. http://www.ndsl.kr/ndsl/commons/util/ndslOriginalView.do?dbt=JAKO&cn=JAKO201506960267947&oCn=JAKO201506960267947&pageCode=PG04&journal=NJOU00290657 https://doi.org/10.7232/JKIIE.2015.41.1.025