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Dynamic efficiency in the English and Welsh water and sewerage industry

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  • Pointon, Charlotte
  • Matthews, Kent

Abstract

The English and Welsh water and sewerage industry is characterised by indivisible capital which has a long service life. Previous studies of efficiency for the English and Welsh water and sewerage industry take a static framework, assuming all inputs can be adjusted instantaneously. This paper measures dynamic efficiency by incorporating intertemporal links of capital within the production function for the English and Welsh water and sewerage industry for the period 1997–2011. Dynamic Data Envelopment Analysis (DEA) considers capital as a quasi-fixed input and is modelled as a contemporaneous output into current production and an input from past production. The results show that the inadequate intertemporal allocation of quasi-fixed inputs is the largest contributor of inefficiency.

Suggested Citation

  • Pointon, Charlotte & Matthews, Kent, 2016. "Dynamic efficiency in the English and Welsh water and sewerage industry," Omega, Elsevier, vol. 58(C), pages 86-96.
  • Handle: RePEc:eee:jomega:v:58:y:2016:i:c:p:86-96
    DOI: 10.1016/j.omega.2015.04.001
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    1. Rolf Färe & Shawna Grosskopf & Gerald Whittaker, 2014. "Network DEA II," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 307-327, Springer.
    2. Stefanou, Spiro E. & Silva, Elvira, 2007. "AJAE Appendix: Dynamic Efficiency Measurement: Theory and Application," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 89(2), pages 1-19, May.
    3. Matthews, Kent, 2013. "Risk management and managerial efficiency in Chinese banks: A network DEA framework," Omega, Elsevier, vol. 41(2), pages 207-215.
    4. Elvira Silva & Spiro E. Stefanou, 2007. "Dynamic Efficiency Measurement: Theory and Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 398-419.
    5. Bottasso, Anna & Conti, Maurizio, 2003. "Cost Inefficiency in the English and Welsh Water Industry: An Heteroskedastic Stochastic Cost Frontier Approach," Economics Discussion Papers 8872, University of Essex, Department of Economics.
    6. Bottasso, Anna & Conti, Maurizio, 2009. "Scale economies, technology and technical change in the water industry: Evidence from the English water only sector," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 138-147, March.
    7. Philipp Geymueller, 2009. "Static versus dynamic DEA in electricity regulation: the case of US transmission system operators," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 17(4), pages 397-413, December.
    8. Caves, Douglas W & Christensen, Laurits R & Swanson, Joseph A, 1981. "Productivity Growth, Scale Economies, and Capacity Utilization in U.S. Railroads, 1955-74," American Economic Review, American Economic Association, vol. 71(5), pages 994-1002, December.
    9. Thanassoulis, Emmanuel, 2000. "The use of data envelopment analysis in the regulation of UK water utilities: Water distribution," European Journal of Operational Research, Elsevier, vol. 126(2), pages 436-453, October.
    10. Cubbin, John & Tzanidakis, George, 1998. "Regression versus data envelopment analysis for efficiency measurement: an application to the England and Wales regulated water industry," Utilities Policy, Elsevier, vol. 7(2), pages 75-85, June.
    11. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    12. John Ashton, 2000. "Cost efficiency in the UK water and sewerage industry," Applied Economics Letters, Taylor & Francis Journals, vol. 7(7), pages 455-458.
    13. Pierre Ouellette & Li Yan, 2008. "Investment and dynamic DEA," Journal of Productivity Analysis, Springer, vol. 29(3), pages 235-247, June.
    14. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    15. Harold Fried & Shelton Schmidt & Suthathip Yaisawarng, 1999. "Incorporating the Operating Environment Into a Nonparametric Measure of Technical Efficiency," Journal of Productivity Analysis, Springer, vol. 12(3), pages 249-267, November.
    16. Thanassoulis, Emmanuel, 2000. "DEA and its use in the regulation of water companies," European Journal of Operational Research, Elsevier, vol. 127(1), pages 1-13, November.
    17. Bottasso, Anna & Conti, Maurizio & Piacenz, Massimiliano & Vannoni, Davide, 2011. "The appropriateness of the poolability assumption for multiproduct technologies: Evidence from the English water and sewerage utilities," International Journal of Production Economics, Elsevier, vol. 130(1), pages 112-117, March.
    18. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    19. David Saal & David Parker & Tom Weyman-Jones, 2007. "Determining the contribution of technical change, efficiency change and scale change to productivity growth in the privatized English and Welsh water and sewerage industry: 1985–2000," Journal of Productivity Analysis, Springer, vol. 28(1), pages 127-139, October.
    20. Jiro Nemoto & Mika Goto, 2003. "Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities," Journal of Productivity Analysis, Springer, vol. 19(2), pages 191-210, April.
    21. Elvira Silva & Spiro Stefanou, 2003. "Nonparametric Dynamic Production Analysis and the Theory of Cost," Journal of Productivity Analysis, Springer, vol. 19(1), pages 5-32, January.
    22. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    23. Nemoto, Jiro & Goto, Mika, 1999. "Dynamic data envelopment analysis: modeling intertemporal behavior of a firm in the presence of productive inefficiencies," Economics Letters, Elsevier, vol. 64(1), pages 51-56, July.
    24. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    25. Saal, David S & Parker, David, 2001. "Productivity and Price Performance in the Privatized Water and Sewerage Companies of England and Wales," Journal of Regulatory Economics, Springer, vol. 20(1), pages 61-90, July.
    26. Jos Blank & Vivian Valdmanis, 2005. "A modified three-stage data envelopment analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(1), pages 65-72, March.
    27. Erbetta Fabrizio & Cave Martin, 2007. "Regulation and Efficiency Incentives: Evidence from the England and Wales Water and Sewerage Industry," Review of Network Economics, De Gruyter, vol. 6(4), pages 1-28, December.
    28. Laurens Cherchye & Thomas Demuynck & Bram Rock & Kristof Witte, 2014. "Non‐parametric Analysis of Multi‐output Production with Joint Inputs," Economic Journal, Royal Economic Society, vol. 124(577), pages 735-775, June.
    29. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, September.
    30. David S Saal & David Parker, 2000. "The impact of privatization and regulation on the water and sewerage industry in England and Wales: a translog cost function model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 253-268.
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    6. Reza, Rajibur & Tularam, Gurudeo Anand & Li, Bin, 2021. "A review of global research on private investment in the water sector," Utilities Policy, Elsevier, vol. 72(C).

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    More about this item

    Keywords

    Dynamic efficiency; Water and sewage industry; DEA; Intertemporal allocation;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs; Social Entrepreneurship

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