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A Study on Eco-Efficiency in Public Sector Using Decision Tree and DEA Analysis

의사결정나무와 자료포락 분석을 이용한 공공기관 유형별 환경효율성에 대한 연구

  • 임미선 (서강대학교 경영대학 글로벌서비스경영학과) ;
  • 김진화 (서강대학교 경영대학 경영학부) ;
  • 최순재 (서강대학교 경영대학 경영학부)
  • Received : 2014.12.30
  • Accepted : 2015.02.17
  • Published : 2015.02.28

Abstract

This study aims to provide public sectors with eco-efficiency information. To implement the purposes of the study, environmental and economic variables of Eco-Efficiency were identified through decision tree model, then the relative Eco-Efficiencies of 243 public sectors were evaluated through input-oriented DEA (Data Envelopment Analysis) model. Specifically, the amount of public purchasing per a staff and the amount of energy use per a staff were considered as input factors. Sales per a staff was considered as output factor. The result shows that most of the public sectors (94.2%) were evaluated as "inefficient" taking into consideration of average value, 0.501 from market-based public corporations, 0.288 from local public corporations, 0.28 from quasi-market-based public corporations, 0.269 from fund-management-based quasi-governmental institutions, 0.09 from non-classified public institutions, and 0.078 from commissioned-service-based quasi-governmental institutions. Furthermore, it is possible to establish a plan for internal Eco-Efficiency improvement based on information of the reference set. In order to improve the Eco-Efficiency in the public sectors in the long term, environmental impacts of the overall public sectors' operations (e.g., energy saving, water saving, waste reduction, and purchasing of green products) needs to be properly proposed in consideration of BSC (Balanced Scorecard) indicators of public sectors.

Keywords

References

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