International benchmarking and regulation: an application to European electricity distribution utilities

Jamasb, Tooraj; Pollitt, Michael G.

doi:10.1016/s0301-4215(02)00226-4

Cited by 243 publications

(122 citation statements)

References 7 publications

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“…Regarding the outputs, the number of units of energy delivered was considered as the main cost driver by the experts participating in our study, an opinion which corroborates the findings of Jamasb and Pollitt (2003). Finally it was decided to include as an output an indicator of service quality, measuring the continuity of the supply to the customers.…”

Section: Inputssupporting

confidence: 58%

“…As pointed out by Jamasb and Pollitt (2003) an input-oriented specification is commonly regarded as the most appropriate form for electricity distribution utilities, as demand for distribution services is a derived demand that is beyond the control of utilities and has to be met. It is important to emphasise, however, that the degree of control of the distribution utilities over some of these inputs is limited.…”

Section: The Efficiency Results and Testing For The Existence Of Scalmentioning

confidence: 99%

“…Other studies also offering insightful discussions on the use of DEA to inter-country benchmarking of electricity distribution utilities include Pardina et al (1998), Edvardsen and Førsund (2003), Jamasb and Pollitt (2003), and Estache et al (2004).…”

Section: Inter-country Studiesmentioning

confidence: 99%

“…Based on a review of 20 benchmarking studies of electricity distribution utilities Jamasb and Pollitt (2003) outlined the most widely used input and output variables in this context. It is important to mention, however, that there is no consensus on which variables best describe the operation of distribution utilities.…”

Section: Empirical Analysismentioning

confidence: 99%

“…Jamasb and Pollitt (2003) 63 electricity distribution and regional transmission utilities in Italy, Norway, UK, Portugal, Spain and The Netherlands.…”

Section: Modelmentioning

confidence: 99%

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Formative evaluation of electricity distribution utilities using data envelopment analysis

Santos

Amado

Rosado

2011

Journal of the Operational Research Society

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-The use of Data Envelopment Analysis (DEA) in the electricity distribution sector has been prolific in the number of papers published in research journals. However, while numerous studies have been documented, they have mostly been summative. Their aim has been predominantly descriptive and classificatory. This paper argues that evaluations of a formative nature are more effective than summative studies in promoting a better understanding of the structures and processes of electricity distribution utilities and, consequently, are more appropriate to contribute to performance improvement. To illustrate the use of DEA for formative evaluation, and highlight some of the difficulties of using DEA in practice, this paper compares the cost-efficiency of the Portuguese electricity distribution companies from 2002 to 2006. A dynamic analysis using Malmquist Indices is also conducted in order to evaluate the changes in productivity over this period. Our analysis shows that the application of DEA for formative purposes meets some difficulties. In particular it shows that whilst the modelling of productivity/efficiency scores using DEA is relatively straightforward, it is comparatively more difficult to develop models that are economically valid and that produce results with face validity. Based on the insights derived from this analysis the paper provides some recommendations regarding the successful application of DEA for performance improvement.

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Section: Inputssupporting

confidence: 58%

Section: The Efficiency Results and Testing For The Existence Of Scalmentioning

confidence: 99%

Section: Inter-country Studiesmentioning

confidence: 99%

Section: Empirical Analysismentioning

confidence: 99%

“…Jamasb and Pollitt (2003) 63 electricity distribution and regional transmission utilities in Italy, Norway, UK, Portugal, Spain and The Netherlands.…”

Section: Modelmentioning

confidence: 99%

See 3 more Smart Citations