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Efficiency Assessment of Water and Sewerage Companies: a Disaggregated Approach Accounting for Service Quality

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  • María Molinos-Senante

    (Pontificia Universidad Católica de Chile
    Pontificia Universidad Católica de Chile
    Centro de Desarrollo Urbano Sustentable CONICYT/FONDAP/15110020)

  • Manuel Mocholi-Arce

    (Universidad de Valencia)

  • Ramón Sala-Garrido

    (Universidad de Valencia)

Abstract

This paper evaluates the efficiency of water and sewerage companies (WaSCs) by applying the weighted Russell directional distance model. This is a non-radial data envelopment analysis (DEA) model that allowed us to obtain an individual efficiency score for each input and output considered in the assessment. This study provides a pioneering approach to evaluating the efficiency of WaSCs, since previous studies on this topic were based on radial DEA models that only provide a global efficiency score. Moreover, three variables representing the lack of service quality were introduced into the model as undesirable outputs. An empirical application was carried out for the 25 largest Chilean WaSCs for 2013. The results illustrated that around one-third of the WaSCs in Chile are totally efficient. The inefficiency scores for each variable evidenced that one of the main challenges of the water industry in Chile is to reduce the percentage of unbilled water and that this issue is especially marked for medium WaSCs. As part of the second-stage analysis, some differences in performance between private and concessionary WaSCs were found, although the results were inconclusive. Several policy implications to help water companies’ managers and water regulators make informed decisions were drawn from our empirical analysis.

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  • María Molinos-Senante & Manuel Mocholi-Arce & Ramón Sala-Garrido, 2016. "Efficiency Assessment of Water and Sewerage Companies: a Disaggregated Approach Accounting for Service Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4311-4328, September.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:12:d:10.1007_s11269-016-1422-7
    DOI: 10.1007/s11269-016-1422-7
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    1. Francisco Silva Pinto & Rui Cunha Marques, 2016. "Tariff Suitability Framework for Water Supply Services," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 2037-2053, April.
    2. Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.
    3. Wei, Chu & Löschel, Andreas & Liu, Bing, 2015. "Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: A non-parametric analysis," Energy Economics, Elsevier, vol. 49(C), pages 33-43.
    4. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    5. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Managi, Shunsuke, 2014. "Non-Radial Directional Performance Measurement with Undesirable Outputs," MPRA Paper 57189, University Library of Munich, Germany.
    6. Konstantinos Tsagarakis, 2013. "Does Size Matter? Operating Cost Coverage for Water Utilities," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1551-1562, March.
    7. Andrea Guerrini & Giulia Romano & Bettina Campedelli, 2013. "Economies of Scale, Scope, and Density in the Italian Water Sector: A Two-Stage Data Envelopment Analysis Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4559-4578, October.
    8. Kristof Witte & Rui Marques, 2010. "Influential observations in frontier models, a robust non-oriented approach to the water sector," Annals of Operations Research, Springer, vol. 181(1), pages 377-392, December.
    9. Giulia Romano & Andrea Guerrini & Silvia Vernizzi, 2013. "Ownership, Investment Policies and Funding Choices of Italian Water Utilities: An Empirical Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3409-3419, July.
    10. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    11. Skevas, Theodoros & Lansink, Alfons Oude & Stefanou, Spiro E., 2012. "Measuring technical efficiency in the presence of pesticide spillovers and production uncertainty: The case of Dutch arable farms," European Journal of Operational Research, Elsevier, vol. 223(2), pages 550-559.
    12. Picazo-Tadeo, Andres J. & Saez-Fernandez, Francisco J. & Gonzalez-Gomez, Francisco, 2008. "Does service quality matter in measuring the performance of water utilities," Utilities Policy, Elsevier, vol. 16(1), pages 30-38, March.
    13. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    14. Sanford Berg & Chen Lin, 2008. "Consistency in performance rankings: the Peru water sector," Applied Economics, Taylor & Francis Journals, vol. 40(6), pages 793-805.
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    8. Alexandr Akimov & Paul Simshauser, 2018. "Performance measurement in Australian water utilities: Current state and future directions," Discussion Papers in Finance finance:201802, Griffith University, Department of Accounting, Finance and Economics.
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