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An Efficiency Evaluation of Korea's Electric Power Generation Industries using DEA model  

Koh, Seung-Churl (전남대학교 경영대학원)
Sim, Gwang-Sic (전남대학교 대학원 경영학과)
Kim, Jae-Yun (전남대학교 경영학과)
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Abstract
Data Envelopment Analysis(DEA) is a promising methodology to evaluate the relative efficiency of the decision-making units. We have compared the efficiency of six electric power generation companies in Korea using DEA. The analysis results by input-oriented CCR and BCC models are summarized as follows: first, different results were acquired between using input factors as total capacity of generators and as sub-totals of generator capacity based on primary energy sources. It is the result influenced by input factors which are characterized by the proportion of fixed costs(generating facilities) and variable costs(generation costs for primary energy), Second, the efficiency will be increased if the input factors selected, according to primary energy sources discussed in this research, are used during long-term expansion of electric power capacity plans. It is expected that this approach can give a feedback for management of electric power generation companies.
Keywords
Data Envelopment Analysis; Electric Power Generation Industry; Input factor;
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