DEA와 MPI를 활용한 한국자산관리공사 지역본부의 국유재산관리 성과에 대한 효율성 및 생산성 분석
Analysis of efficiency and productivity of regional headquarters of Korea Asset Management Corporation using DEA and MPI
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(Purpose) This study aims to analyze the relative efficiency and productivity of state-owned property management in order to provide information necessary for enhancing competitiveness and efficiency for the regional headquarters of Korea Asset Management Corporation. (Design/methodology/approach) This study analyzed changes in the efficiency and productivity by utilizing the three year long data of the KAMCO from 2017 to 2019, using non-parametric efficiency analysis models, DEA model and Malmquist Productivity Index analysis model (Findings) According to the result of DEA, Technical Efficiency average based on CCR model of the KAMCO was 0.695 in 2017, 0.720 in 2018 and 0.690 in 2019. Pure Technical Efficiency due to BCC model was 0.753 in 2017, 0.744 in 2018 and 0.772 in 2019. According to the result of Malmquist Productivity Index, when the time series average productivity index was examined, MPI had increased 3.1%. This demonstrates that this is derived not so much from the increase in the Technological Change and Pure Efficiency Change but from the decrease in the Technical Efficiency Change and Scale Efficiency Change. (Research implications or Originality) While there are many studies on the management efficiency analysis of public enterprises in the previous studies, this study differs from previous studies in that it understands the overall operation status of each regional headquarters and presents efficiency analysis and benchmarking information.
Abstract
(Purpose) This study aims to analyze the relative efficiency and productivity of state-owned property management in order to provide information necessary for enhancing competitiveness and efficiency for the regional headquarters of Korea Asset Management Corporation. (Design/methodology/approach) This study analyzed changes in the efficiency and productivity by utilizing the three year long data of the KAMCO from 2017 to 2019, using non-parametric efficiency analysis models, DEA model and Malmquist Productivity Index analysis model (Findings) According to the result of DEA, Technical Efficiency average based on CCR model of the KAMCO was 0.695 in 2017, 0.720 in 2018 and 0.690 in 2019. Pure Technical Efficiency due to BCC model was 0.753 in 2017, 0.744 in 2018 and 0.772 in 2019. According to the result of Malmquist Productivity Index, when the time series average productivity index was examined, MPI had increased 3.1%. This demonstrates that this is derived not so much from the increase in the Technological Change and Pure Efficiency Change but from the decrease in the Technical Efficiency Change and Scale Efficiency Change. (Research implications or Originality) While there are many studies on the management efficiency analysis of public enterprises in the previous studies, this study differs from previous studies in that it understands the overall operation status of each regional headquarters and presents efficiency analysis and benchmarking information.
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