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Does weather explain cost and quality performance? An analysis of UK electricity distribution companies

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  • Yu, William
  • Jamasb, Tooraj
  • Pollitt, Michael

Abstract

In recent years, a number of empirical studies and energy regulators have applied benchmarking techniques to measuring the efficiency and performance of network utilities. An important issue has been the extent to which the results are influenced by contextual factors. Among these, weather factors are frequently discussed as being important. We use factor analysis and two-stage data envelopment analysis techniques to examine the effect of a set of important weather factors (gale, hail, temperatures, rainfall and thunder) on the performance of electricity distribution networks in the UK. The results indicate that such factors often do not have a significant economic and statistical effect on the overall performance of the utilities. The weather parameters in some models are significant in terms of economic efficiency. The results echo our previous findings of the importance of extending the basic model to include other inputs such as total expenditure (Totex), customer minutes lost (CML) and network energy losses in regulatory benchmarking.

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Bibliographic Info

Article provided by Elsevier in its journal Energy Policy.

Volume (Year): 37 (2009)
Issue (Month): 11 (November)
Pages: 4177-4188

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Handle: RePEc:eee:enepol:v:37:y:2009:i:11:p:4177-4188

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Web page: http://www.elsevier.com/locate/enpol

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Keywords: Electricity Weather Quality of service;

References

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  1. Nillesen, P. & Pollitt, M.G., 2008. "Using regulatory benchmarking techniques to set company performance targets: the case of US electricity," Cambridge Working Papers in Economics 0834, Faculty of Economics, University of Cambridge.
  2. Jamasb, Tooraj & Nillesen, Paul & Pollitt, Michael, 2004. "Strategic behaviour under regulatory benchmarking," Energy Economics, Elsevier, vol. 26(5), pages 825-843, September.
  3. Sailor, David J. & Muñoz, J.Ricardo, 1997. "Sensitivity of electricity and natural gas consumption to climate in the U.S.A.—Methodology and results for eight states," Energy, Elsevier, vol. 22(10), pages 987-998.
  4. Giannakis, Dimitrios & Jamasb, Tooraj & Pollitt, Michael, 2005. "Benchmarking and incentive regulation of quality of service: an application to the UK electricity distribution networks," Energy Policy, Elsevier, vol. 33(17), pages 2256-2271, November.
  5. Yang, Hongliang & Pollitt, Michael, 2009. "Incorporating both undesirable outputs and uncontrollable variables into DEA: The performance of Chinese coal-fired power plants," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1095-1105, September.
  6. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
  7. Yu, W. & Jamasb, T. & Pollitt, M., 2007. "Incorporating the Price of Quality in Efficiency Analysis: the Case of Electricity Distribution Regulation in the UK," Cambridge Working Papers in Economics 0736, Faculty of Economics, University of Cambridge.
  8. Jamasb, T. & Pollitt, M., 2007. "Incentive Regulation of Electricity Distribution Networks: Lessons of Experience from Britain," Cambridge Working Papers in Economics 0709, Faculty of Economics, University of Cambridge.
  9. Pardo, Angel & Meneu, Vicente & Valor, Enric, 2002. "Temperature and seasonality influences on Spanish electricity load," Energy Economics, Elsevier, vol. 24(1), pages 55-70, January.
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Citations

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Cited by:
  1. Llorca, Manuel & Orea, Luis & Pollitt, Michael, 2013. "Efficiency and Environmental Factors in the US Electricity Transmission Industry," Cambridge Working Papers in Economics 1318, Faculty of Economics, University of Cambridge.
  2. Brophy Haney, A. & Pollitt, M.G., 2009. "Efficiency Analysis of Energy Networks : An International Survey of Regulators," Cambridge Working Papers in Economics 0926, Faculty of Economics, University of Cambridge.
  3. Wang, Yi-Shu & Xie, Bai-Chen & Shang, Li-Feng & Li, Wen-Hua, 2013. "Measures to improve the performance of China’s thermal power industry in view of cost efficiency," Applied Energy, Elsevier, vol. 112(C), pages 1078-1086.
  4. Tooraj Jamasb & Magnus Söderberg, 2010. "The Effects of Average Norm Model Regulation: The Case of Electricity Distribution in Sweden," Review of Industrial Organization, Springer, vol. 36(3), pages 249-269, May.
  5. J-M- Glachant & H. Khalfallah & Y. Perez & V. Rious & M. Saguan, 2013. "Implementing Incentive Regulation and Regulatory Alignment with Resource Bounded Regulators," Competition and Regulation in Network Industries, Intersentia, vol. 14(3), pages 265-291, September.
  6. repec:cam:camdae:1324 is not listed on IDEAS
  7. Growitsch, Christian & Jamasb, Tooraj & Wetzel, Heike, 2012. "Efficiency effects of observed and unobserved heterogeneity: Evidence from Norwegian electricity distribution networks," Energy Economics, Elsevier, vol. 34(2), pages 542-548.
  8. Orea, Luis & Growitsch, Christian & Jamasb, Tooraj, 2012. "Using Supervised Environmental Composites in Production and Efficiency Analyses: An Application to Norwegian Electricity Networks," EWI Working Papers 2012-18, Energiewirtschaftliches Institut an der Universitaet zu Koeln.
  9. Torriti, Jacopo, 2013. "The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model," Utilities Policy, Elsevier, vol. 27(C), pages 49-56.
  10. Jamasb, Tooraj & Orea, Luis & Pollitt, Michael, 2012. "Estimating the marginal cost of quality improvements: The case of the UK electricity distribution companies," Energy Economics, Elsevier, vol. 34(5), pages 1498-1506.

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