IDEAS home Printed from https://ideas.repec.org/p/rff/dpaper/dp-04-15.html
   My bibliography  Save this paper

Economies of Scale and Technical Efficiency in Community Water Systems

Author

Listed:
  • Pizer, William

    (Resources for the Future)

  • Harrington, Winston

    (Resources for the Future)

  • Shih, Jhih-Shyang

    (Resources for the Future)

  • Gillingham, Kenneth

Abstract

In this study we use datasets from the 1995 and 2000 Community Water Supply surveys to examine the production costs of water supply systems. We first estimate the economies of scale in water supply by estimating the total unit cost as well as individual component cost elasticities. For total unit cost elasticity, we find that a 1% increase in production reduces unit costs by a statistically significant 0.16%. For individual component cost elasticities, we find that higher economies of scale exist in capital costs, outside costs, other costs, and materials costs; labor costs and energy costs exhibit lower but still positive economies of scale. These economies of scale may reflect production economies or suggest that larger systems are better than smaller systems at bargaining and can obtain inputs at a lower unit cost. Importantly, bargaining gains and some production economies do not necessarily depend on water systems’ becoming physically interconnected.

Suggested Citation

  • Pizer, William & Harrington, Winston & Shih, Jhih-Shyang & Gillingham, Kenneth, 2004. "Economies of Scale and Technical Efficiency in Community Water Systems," RFF Working Paper Series dp-04-15, Resources for the Future.
  • Handle: RePEc:rff:dpaper:dp-04-15
    as

    Download full text from publisher

    File URL: http://www.rff.org/RFF/documents/RFF-DP-04-15.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Bhattacharyya, Arunava & Harris, Thomas R. & Narayanan, Rangesan & Raffiee, Kambiz, 1995. "Technical Efficiency Of Rural Water Utilities," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(2), pages 1-19, December.
    3. Kopp, Raymond J. & Mullahy, John, 1990. "Moment-based estimation and testing of stochastic frontier models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 165-183.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    5. Indranil Bardhan & William Cooper & Subal Kumbhakar, 1998. "A Simulation Study of Joint Uses of Data Envelopment Analysis and Statistical Regressions for Production Function Estimation and Efficiency Evaluation," Journal of Productivity Analysis, Springer, vol. 9(3), pages 249-278, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Steven Renzetti & Diane P. Dupont, 2009. "Measuring the Technical Efficiency of Municipal Water Suppliers: The Role of Environmental Factors," Land Economics, University of Wisconsin Press, vol. 85(4), pages 627-636.
    2. Saal David S. & Arocena Pablo & Maziotis Alexandros & Triebs Thomas, 2013. "Scale and Scope Economies and the Efficient Vertical and Horizontal Configuration of the Water Industry: A Survey of the Literature," Review of Network Economics, De Gruyter, vol. 12(1), pages 93-129, March.
    3. repec:rre:publsh:v:37:y:2007:i:2:p:207-50 is not listed on IDEAS
    4. Ferro, Gustavo & Lentini, Emilio & Mercadier, Augusto & Romero, Carlos A., 2010. "Retornos a escala en agua y saneamiento: estimaciones para América Latina [Returns to scale in water and sanitation: estimates for Latin Amercia]," MPRA Paper 20324, University Library of Munich, Germany, revised Jan 2010.
    5. Walter, Matthias & Cullmann, Astrid & von Hirschhausen, Christian & Wand, Robert & Zschille, Michael, 2009. "Quo vadis efficiency analysis of water distribution? A comparative literature review," Utilities Policy, Elsevier, vol. 17(3-4), pages 225-232, September.
    6. Michele Benvenuti & Elena Gennari, 2008. "Water services in Italy: implementation of the reform and efficiency of providers," Questioni di Economia e Finanza (Occasional Papers) 23, Bank of Italy, Economic Research and International Relations Area.
    7. Klien, Michael & Michaud, David, 2019. "Water utility consolidation: Are economies of scale realized?," Utilities Policy, Elsevier, vol. 61(C).
    8. Travis Warziniack & Chi Ho Sham & Robert Morgan & Yasha Feferholtz, 2017. "Effect of Forest Cover on Water Treatment Costs," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 1-19, October.
    9. Vidoli, Francesco, 2011. "Evaluating the water sector in Italy through a two stage method using the conditional robust nonparametric frontier and multivariate adaptive regression splines," European Journal of Operational Research, Elsevier, vol. 212(3), pages 583-595, August.
    10. Fabre, Anaïs & Straub, Stéphane, 2019. "The Impact of Public-Private Partnerships (PPPs) in Infrastructure, Health and Education: A Review," TSE Working Papers 19-986, Toulouse School of Economics (TSE), revised Sep 2021.
    11. Ferro, Gustavo & Lentini, Emilio J. & Mercadier, Augusto C. & Romero, Carlos A., 2013. "Eficiencia en la prestación de agua y saneamiento y su vinculación con regiones, propiedad e independencia de los prestadores en Brasil [Efficiency in water and sanitation providers and its links w," MPRA Paper 48247, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amar Oukil & Slim Zekri, 2021. "Investigating farming efficiency through a two stage analytical approach: Application to the agricultural sector in Northern Oman," Papers 2104.10943, arXiv.org.
    2. Glover, Fred & Sueyoshi, Toshiyuki, 2009. "Contributions of Professor William W. Cooper in Operations Research and Management Science," European Journal of Operational Research, Elsevier, vol. 197(1), pages 1-16, August.
    3. Matthews, N. & Grové, B. & Kundhlande, G., 2007. "PR - Estimating Input-specific Recommendations For Technically Inefficient Crop Farmers," 16th Congress, Cork, Ireland, July 15-20, 2007 345436, International Farm Management Association.
    4. Groot, Tom & Garcia-Valderrama, Teresa, 2006. "Research quality and efficiency: An analysis of assessments and management issues in Dutch economics and business research programs," Research Policy, Elsevier, vol. 35(9), pages 1362-1376, November.
    5. Shafer, Scott M. & Byrd, Terry A., 2000. "A framework for measuring the efficiency of organizational investments in information technology using data envelopment analysis," Omega, Elsevier, vol. 28(2), pages 125-141, April.
    6. Matthews, N. & Grové, B. & Kundhlande, G., 2007. "PR. Estimating Input-specific Recommendations For Technically Inefficient Crop Farmers," 16th Congress, Cork, Ireland, July 15-20, 2007 345485, International Farm Management Association.
    7. Krüger, Jens J., 2012. "A Monte Carlo study of old and new frontier methods for efficiency measurement," European Journal of Operational Research, Elsevier, vol. 222(1), pages 137-148.
    8. Adler, Nicole & Raveh, Adi, 2008. "Presenting DEA graphically," Omega, Elsevier, vol. 36(5), pages 715-729, October.
    9. Chien-Ming Chen & Magali A. Delmas, 2012. "Measuring Eco-Inefficiency: A New Frontier Approach," Operations Research, INFORMS, vol. 60(5), pages 1064-1079, October.
    10. 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.
    11. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    12. Phillip Fanchon, 2003. "Variable selection for dynamic measures of efficiency in the computer industry," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 9(3), pages 175-188, August.
    13. Perelman, Sergio & Santín, Daniel, 2009. "How to generate regularly behaved production data? A Monte Carlo experimentation on DEA scale efficiency measurement," European Journal of Operational Research, Elsevier, vol. 199(1), pages 303-310, November.
    14. Park, Soo-Uk & Lesourd, Jean-Baptiste, 2000. "The efficiency of conventional fuel power plants in South Korea: A comparison of parametric and non-parametric approaches," International Journal of Production Economics, Elsevier, vol. 63(1), pages 59-67, January.
    15. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    16. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    17. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    18. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    19. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    20. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.

    More about this item

    Keywords

    small water systems; water supply; capacity development; economies of scale; community water systems;
    All these keywords.

    JEL classification:

    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rff:dpaper:dp-04-15. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Resources for the Future (email available below). General contact details of provider: https://edirc.repec.org/data/rffffus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.