Abstract
In this paper a dynamic DEA-model (data envelopment analysis) is developed that takes up Nemoto and Goto’s (Econ Lett 64(1):51–56, 1999) concept of quasi-fixed inputs but can dispense with price-information as it solely deals with technical efficiencies that are derived in an additive-model type of setting. This model is applied to the data of 50 of the largest US electric transmission system operators in the period 2000–2006 in order to show that the static DEA-models that are usually employed by electricity regulators can lead to wrong conclusions about the enterprises’ efficiency since they ignore the short-run fixity of essential inputs like transmission lines.
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References
Amirteimoori A (2006) Data envelopment analysis in dynamic framework. Appl Math Comput 181(1): 21–28
Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2(6): 429–444
Cooper W, Seiford L, Tone K (2000) Data envelopment analysis: a comprehensive text with models, applications, references, and DEA-Solver software. Kluwer Academic Publishers, Boston
Emrouznejad A, Thanassoulis E (2005) A mathematical model for dynamic efficiency using data envelopment analysis. Appl Math Comput 160(2): 363–378
Fare R, Grosskopf S, Tyteca D (1996) An activity analysis model of the environmental performance of firms–application to fossil-fuel-fired electric utilities. Ecol Econ 18(2): 161–175
Farrell MJ (1957) The measurement of productive efficiency. J R Stat Soc Ser A (General) 120(3): 253–290
Forsund FR, Kittelsen SAC (1998) Productivity development of norwegian electricity distribution utilities. Resour Energy Econ 20: 207–224
Giannakis D, Jamasb T, Pollitt M (2005) Benchmarking and incentive regulation of quality of service: an application to the uk electricity distribution networks. Energy Policy 33(17): 2256–2271
Hjalmarsson L, Veiderpass A (1992) Efficiency and ownership in swedish electricity retail distribution. J Product Anal 3(1): 7–23
Jamasb T, Pollitt M (2000) Benchmarking and regulation: international electricity experience. Util Policy 9(3): 107–130
Kwoka J, Ozturk S, Pollitt M (2007) Divestiture, vertical integration, and efficiency: an exploratory analysis of electric power distribution. In: Conference proceedings of the 34th conference in Valencia. European Association for Research in Industrial Economics (EARIE)
Mateo F, Coelli T, O’Donnell C (2006) Optimal paths and costs of adjustment in dynamic DEA models: with application to chilean department stores. Ann Oper Res 145(1): 211–227
Nemoto J, Goto M (1999) Dynamic data envelopment analysis: modeling intertemporal behavior of a firm in the presence of productive inefficiencies. Econ Lett 64(1): 51–56
Nemoto J, Goto M (2003) Measurement of dynamic efficiency in production: an application of data envelopment analysis to Japanese electric utilities. J Product Anal 19: 191–210
Ouellette P, Vierstraete V (2004) Technological change and efficiency in the presence of quasi-fixed inputs: a DEA application to the hospital sector. Eur J Oper Res 154(3): 755–763
Pollitt M (1995) Ownership and performance in electric utilities. Oxford University Press, Oxford
Sengupta K (1995) Dynamics of data envelopment analysis. Kluwer Academic Publishers, Dordrecht
Sueyoshi T, Sekitani K (2005) Returns to scale in dynamic DEA. Eur J Oper Res 161(2): 536–544
von Hischhausen C, Cullmann A, Kappeler A (2006) Efficiency analysis of german electricity distribution utilities. Appl Econ 38: 2553–2566
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von Geymueller, P. Static versus dynamic DEA in electricity regulation: the case of US transmission system operators. Cent Eur J Oper Res 17, 397–413 (2009). https://doi.org/10.1007/s10100-009-0099-x
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DOI: https://doi.org/10.1007/s10100-009-0099-x