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자료포락분석(DEA)을 이용한 효율성 측정 - 지방공사 의료원을 대상으로 -
Measuring production efficiency using Data Envelopment Analysis : The case of public Corporation Medical Centers

박창제    (경상대학교 경제학과  );
  • 초록

    In this research, the Data Envelopment Analysis(DEA) was applied to measure production efficiency of Public Corporation Medical Centers(PCMCs) operating in Korea. The focus of this research is triple. First, identifing convenience and usefulness of DEA to measure the relative efficiency among PCMCs. Second, assessing magnitudes of the relative efficiency for each PCMC. Third, adding insights into some factors resulting inefficiency in PCMCs. Then, in this paper technical efficiency and scale efficiency measured by DEA[introduced by Charnes, Cooper, and Rhoides(1978) and Banker, Charnes, and Cooper(1984)] were analyzed and a new separate variable was introduced which makes it possible to determine whether operations were conducted in regions of increasing, constant or decresing returns to scale(in multiple input and output situations). And a multi-factor Tobit analysis was conducted to see which variables are associated with PCMC's efficiency.


  • 주제어

    Data Envelopment Analysis .   multi-factor Tobit analysis .   Public Corporation Medical Centers .   relative efficiency.  

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  • 이 논문을 인용한 문헌 (4)

    1. 2000. "A Study of Human Resource Efficiency in Public Corporation Medical Centers" 보건행정학회지 = Korean journal of health policy and administration, 10(4): 75~98     
    2. 2001. "Organizational Determinants related with Relative Efficiency of the Community Mental Health Centers" 보건행정학회지 = Korean journal of health policy and administration, 11(2): 58~84     
    3. Yang, Dong-Hyun 2010. "Analysis of the Efficiency of the Regional Public Hospitals using DEA-AR/AHP Combined Model" 보건행정학회지 = Korean journal of health policy and administration, 20(4): 74~96     
    4. Yang, Dong Hyun 2013. "Analysis on Efficiency and Productivity Changes of Regional Public Hospitals in Korea with Data Envelopment Analysis/Window and Global Malmquist Indices Models" Health policy and management = 보건행정학회지, 23(1): 78~89     

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