DEA 기법을 활용한 공공부문 성과 측정: 에너지관리공단의 경우

초록

Using Data envelopment analysis, we Measured the Performance of the 12 Branch offices of Korea Energy Management Corporation (KEMCO) for the period of 2000-2003. Firstly, we applied principal component analysis to 18 output categories and obtained 4 aggregate outputs. Then, applying DEA to 4 aggregate outputs and 2 inputs, we obtained the efficiency index, input slacks, and output shortages for each branch office To neutralize the effect of disparate managerial environment on performance, we estimated a stochastic frontier model relating input slacks and output shortages to environmental variables but we found on empirical evidence to support the presence of such effect.Our DEA-PCA procedure and its empirical results assured us the our procedure cold complement KEMCO's performance evaluation scheme objectively.

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