A DEA analysis of electricity distribution in Spain: An industrial policy recommendation

In Spain, electricity distribution represents a quarter of the total electricity cost, and consists of 347 companies classified in two different groups: five larger utilities, which feed from the transmission and have, on average, five million points of supply (P.o.S.); and 342 smaller companies, which feed from lower voltage levels and have, on average, less than 5.000 P.o.S. The unitary remuneration is four times higher in the case of the smaller companies, which are operating at lower voltage levels and with a worse quality of service.

[1]  Michael G. Pollitt,et al.  Efficiency analysis of energy networks: An international survey of regulators , 2009 .

[2]  M. Pollitt,et al.  Benchmarking and regulation: international electricity experience , 2000 .

[3]  R. Bartels,et al.  The Effect of Sample Size on the Mean Efficiency in DEA with an Application to Electricity Distribution in Australia, Sweden and New Zealand , 1998 .

[4]  Tooraj Jamasb,et al.  Benchmarking and incentive regulation of quality of service: an application to the UK electricity distribution networks , 2005 .

[5]  Sérgio P. Santos,et al.  Using Data Envelopment Analysis to support the design of process improvement interventions in electricity distribution , 2013, Eur. J. Oper. Res..

[6]  M. A. Costa,et al.  Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision , 2015 .

[7]  Massimo Filippini,et al.  Efficiency and Regulation of the Slovenian Electricity Distribution Companies , 2004 .

[8]  Sergio Perelman,et al.  Estimating the cost of improving quality in electricity distribution: A parametric distance function approach , 2013 .

[9]  Timo Kuosmanen,et al.  Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model , 2012 .

[10]  Rajiv D. Banker,et al.  Efficiency Analysis for Exogenously Fixed Inputs and Outputs , 1986, Oper. Res..

[11]  Biswajit Basu,et al.  A framework for establishing the technical efficiency of Electricity Distribution Counties (EDCs) using Data Envelopment Analysis , 2015 .

[12]  篠原 正明,et al.  William W.Cooper,Lawrence M.Seiford,Kaoru Tone 著, DATA ENVELOPMENT ANALYSIS : A Comprehensive Text with Models, Applications, References and DEA-Solver Software, Kluwer Academic Publishers, 2000年, 318頁 , 2002 .

[13]  Massimo Filippini,et al.  Are Municipal Electricity Distribution Utilities Natural Monopolies , 1998 .

[14]  C.A.K. Lovell,et al.  Multilateral Productivity Comparisons When Some Outputs are Undesirable: A Nonparametric Approach , 1989 .

[15]  Tooraj Jamasb,et al.  Quality of service, efficiency and scale in network industries: an analysis of European electricity distribution , 2009 .

[16]  Tooraj Jamasb,et al.  International benchmarking and regulation: an application to European electricity distribution utilities , 2003 .

[17]  W. B. Liu,et al.  DEA models with undesirable inputs and outputs , 2010, Ann. Oper. Res..

[18]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[19]  W. Cooper,et al.  Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software , 1999 .

[20]  Emili Grifell-Tatjé,et al.  Evaluating the regulator: Winners and losers in the regulation of Spanish electricity distribution , 2011 .

[21]  Andreas Kappeler,et al.  Efficiency analysis of German electricity distribution utilities – non-parametric and parametric tests , 2006 .

[22]  Timo Kuosmanen,et al.  Best-practice benchmarking using clustering methods: Application to energy regulation , 2014, Omega.

[23]  M.A. Azadeh,et al.  An Integrated DEA-COLS-PCA Model for Performance Assessment and Optimization of Electricity Distribution Units , 2006, 2006 4th IEEE International Conference on Industrial Informatics.

[24]  Tooraj Jamasb,et al.  Reference models and incentive regulation of electricity distribution networks : An evaluation of Sweden's Network Performance Assessment Model (NPAM) , 2008 .

[25]  Christian von Hirschhausen,et al.  From Transition to Competition Dynamic Efficiency Analysis of Polish Electricity Distribution Companies , 2008 .

[26]  Seyed Jafar Sadjadi,et al.  Data envelopment analysis with uncertain data: An application for Iranian electricity distribution companies , 2008 .

[27]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .