IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/30764.html
   My bibliography  Save this article

Technical Efficiency Of Rural Water Utilities

Author

Listed:
  • Bhattacharyya, Arunava
  • Harris, Thomas R.
  • Narayanan, Rangesan
  • Raffiee, Kambiz

Abstract

Technical efficiency of rural water utilities is determined using frontier production functions. An indirect production function is developed to model the two-step production process of a local government-controlled firm. Data from 26 rural Nevada water utilities are used to estimate inefficiency in terms of firm-specific variables. A multistep estimation procedure is used instead of single-step maximum likelihood estimation. Model selection tests are used to choose the best model. Privately owned utilities are most efficient; self-governing water districts are the least efficient. Municipal governments operate the most and least efficient utilities.

Suggested Citation

  • 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.
  • Handle: RePEc:ags:jlaare:30764
    DOI: 10.22004/ag.econ.30764
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/30764/files/20020373.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.30764?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Christian Ritter & Léopold Simar, 1997. "Pitfalls of Normal-Gamma Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 8(2), pages 167-182, May.
    2. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    3. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    4. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    5. Beckers, Dominique E. & Hammond, Christopher J., 1987. "A tractable likelihood function for the normal-gamma stochastic frontier model," Economics Letters, Elsevier, vol. 24(1), pages 33-38.
    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. Johannes Sauer & Klaus Frohberg, 2007. "Allocative efficiency of rural water supply – a globally flexible SGM cost frontier," Journal of Productivity Analysis, Springer, vol. 27(1), pages 31-40, February.
    2. Zhang, Fan & Fogarty, James, 2015. "Nonmarket Valuation of Water Sensitive Cities: Current Knowledge and Issues," Working Papers 207694, University of Western Australia, School of Agricultural and Resource Economics.
    3. 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.
    4. Obeng, K. & Sakano, R., 2020. "Effects of government regulations and input subsidies on cost efficiency: A decomposition approach," Transport Policy, Elsevier, vol. 91(C), pages 95-107.
    5. Tim Coelli & Shannon Walding, 2005. "Performance Measurement in the Australian Water Supply Industry," CEPA Working Papers Series WP012005, School of Economics, University of Queensland, Australia.
    6. Sauer, Johannes, 2004. "Rural Water Suppliers And Efficiency - Empirical Evidence From East And West Germany," IAMO Discussion Papers 14866, Institute of Agricultural Development in Transition Economies (IAMO).
    7. Obeng, K. & Sakano, R. & Naanwaab, C., 2016. "Understanding overall output efficiency in public transit systems: The roles of input regulations, perceived budget and input subsidies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 133-150.
    8. Shih, Jhih-Shyang & Harrington, Winston & Pizer, William A. & Gillingham, Kenneth, 2004. "Economies of Scale and Technical Efficiency in Community Water Systems," Discussion Papers 10788, Resources for the Future.
    9. 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.
    10. Sauer, Johannes, 2004. "Rural water suppliers and efficiency: Empirical evidence from East and West Germany," IAMO Discussion Papers 63, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    11. Sauer Johannes, 2005. "Die optimale Organisation der Wasserversorgung aus ökonomischer Perspektive / The Optimal Organisation of the Water Supplying Industry – An Economic Perspective," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(2), pages 225-244, April.
    12. Miguel A. García-Rubio & Francisco González-Gómez & Jorge Guardiola, 2009. "Performance and ownership in the governance of urban water," FEG Working Paper Series 09/03, Faculty of Economics and Business (University of Granada).
    13. Estache, Antonio & Kouassi, Eugene, 2002. "Sector organization, governance, and the inefficiency of African water utilities," Policy Research Working Paper Series 2890, The World Bank.
    14. Roberto Martínez-Espiñeira & Maria A. García-Valiñas & Francisco González-Gómez, 2007. "Does Private Management Of Water Supply Services Really Increase Prices? An Empirical Analysis," FEG Working Paper Series 07/05, Faculty of Economics and Business (University of Granada).

    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. Uwe Jensen & Hermann Gartner & Susanne Rässler, 2010. "Estimating German overqualification with stochastic earnings frontiers," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(1), pages 33-51, March.
    2. William Greene, 2003. "Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function," Journal of Productivity Analysis, Springer, vol. 19(2), pages 179-190, April.
    3. Bernardo B. Andrade & Geraldo S. Souza, 2018. "Likelihood computation in the normal-gamma stochastic frontier model," Computational Statistics, Springer, vol. 33(2), pages 967-982, June.
    4. Rossi, Martín, 2000. "Análisis de eficiencia aplicado a la regulación ¿Es importante la Distribución Elegida para el Término de Ineficiencia?," UADE Textos de Discusión 22_2000, Instituto de Economía, Universidad Argentina de la Empresa.
    5. Roy, Manish & Mazumder, Ritwik, 2016. "Technical Efficiency of Fish Catch in Traditional Fishing: A Study in Southern Assam," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 5(1), pages 55-68.
    6. Henderson, Benjamin B. & Kingwell, Ross S., 2001. "An Investigation of the Technical and Allocative Efficiency of Broadacre Farmers," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125109, Australian Agricultural and Resource Economics Society.
    7. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    8. Léopold Simar & Valentin Zelenyuk, 2011. "Stochastic FDH/DEA estimators for frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(1), pages 1-20, August.
    9. Dhawan, Rajeev & Jochumzen, Peter, 1999. "Stochastic Frontier Production Function With Errors-In-Variables," Working Papers 1999:007, Lund University, Department of Economics.
    10. Deng, Yaguo, 2024. "A Bayesian semi-parametric approach to stochastic frontier models with inefficiency heterogeneity," DES - Working Papers. Statistics and Econometrics. WS 43837, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. Jun Cai & William C. Horrace & Christopher F. Parmeter, 2021. "Density deconvolution with Laplace errors and unknown variance," Journal of Productivity Analysis, Springer, vol. 56(2), pages 103-113, December.
    12. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    13. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    14. Yongil Jeon & Ishak Haji Omar & K. Kuperan & Dale Squires & Indah Susilowati, 2006. "Developing country fisheries and technical efficiency: the Java Sea purse seine fishery," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1541-1552.
    15. Julio Peña & Julio Aguirre & René Cerca D'amico, 2004. "Pesca demersal en Chile: eficiencia técnica y escalas de operación," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 19(1), pages 119-160, June.
    16. Alecos Papadopoulos, 2021. "Stochastic frontier models using the Generalized Exponential distribution," Journal of Productivity Analysis, Springer, vol. 55(1), pages 15-29, February.
    17. Canay, Iván, 2002. "Eficiencia y Productividad en Distribuidoras Eléctricas: Repaso de la Metodología y Aplicación," UADE Textos de Discusión 35_2002, Instituto de Economía, Universidad Argentina de la Empresa.
    18. Gian Carlo Scarsi, 1999. "Local Electricity Distribution in Italy: Comparative Efficiency Analysis and Methodological Cross-Checking," Working Papers 1999.16, Fondazione Eni Enrico Mattei.
    19. Léopold Simar & Ingrid Keilegom & Valentin Zelenyuk, 2017. "Nonparametric least squares methods for stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 47(3), pages 189-204, June.
    20. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.

    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    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:ags:jlaare:30764. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/waeaaea.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.