Measuring the efficiency of the turkish electric distribution sector using stochastic frontier analysis

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2011
Çelen, Aydın
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This study analyzes the technical efficiencies of Turkish electricity distribution companies (21 in total) throughout 2002 and 2009. For this aim, we used six different model specifications, all of which are generated from two different Stochastic Frontier Analysis (SFA) models (Battese ve Coelli (1992&1995)). At the end of the estimations of the models, it has been seen that the signs and significance levels of the coefficient estimations are very consistent and satisfactory in all models. We also observed consistency between the coefficient estimations of the different models despite the differences in the magnitudes of the coefficient estimations. For example, all model specifications confirm the presence of increasing returns to scale and of a mild technological progress over time in the market. In addition, among the inputs, all inputs except the quality of the electricity delivered are important in enhancing technical efficiency of the electricity distribution companies, according to the all alternative specifications. Again, all models showed that inefficiency effects rather than random error effects are of crucial importance in Turkish electricity distribution market. As for the efficiency estimations of the alternative models, the main conclusion revealed by our study is that efficiency estimations of the Battese ve Coelli (1995) models are remarkably higher than those of the Battese ve Coelli (1992) models. The efficiency estimation differences between Battese and Coelli (1992&1995) models can be attributed to the environmental variables included into the Battese ve Coelli (1995) models, which are not generally controlled by electricity distribution companies.
Electric utilities, Electric power
http://etd.lib.metu.edu.tr/upload/12613004/index.pdf
https://hdl.handle.net/11511/20382
Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats
A. Çelen, “Measuring the efficiency of the turkish electric distribution sector using stochastic frontier analysis,” M.S. - Master of Science, Middle East Technical University, 2011.
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