IDEAS home Printed from https://ideas.repec.org/a/kap/enreec/v54y2013i4p495-523.html
   My bibliography  Save this article

A Socially Efficient Water Tariff Under the English Optional Metering Scheme

Author

Listed:
  • Tatsuki Ueda
  • Peter Moffatt

Abstract

We design a socially-efficient water tariff in the institutional context of England, where water metering is largely optional and non-metered households are levied proportional to the rateable value (RV) of their property. Within this context, it is theoretically demonstrated that: the larger the RV, the more likely the household to opt for metering; and the larger the RV, the smaller the Demand Effect of Metering (DEM; the fall in water consumption resulting from metering). These two hypotheses are confirmed with econometric analyses using datasets provided by a water company operating in East Anglia, England. The results signify an adverse-selection problem: wealthier households are more likely to opt for metering, yet they are expected to exhibit a smaller DEM once a meter is installed. In order to overcome this, we propose a two-part tariff for metered households consisting of: a variable charge levied proportional to water consumption at a uniform price; and a progressive standing charge to place a heavier burden on wealthier households. The latter component has a potentially major role in attaining social efficiency of metering, by encouraging poorer households to install meters whilst discouraging wealthier ones. The optimal two-part tariff is determined empirically. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Tatsuki Ueda & Peter Moffatt, 2013. "A Socially Efficient Water Tariff Under the English Optional Metering Scheme," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(4), pages 495-523, April.
  • Handle: RePEc:kap:enreec:v:54:y:2013:i:4:p:495-523
    DOI: 10.1007/s10640-012-9603-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10640-012-9603-1
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10640-012-9603-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jasper M. Dalhuisen & Raymond J. G. M. Florax & JHenri L. F. de Groot & Peter Nijkamp, 2003. "Price and Income Elasticities of Residential Water Demand: A Meta-Analysis," Land Economics, University of Wisconsin Press, vol. 79(2), pages 292-308.
    2. Simon Dresner & Paul Ekins, 2006. "Design of environmentally and socially conscious water metering tariffs for the UK," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 49(6), pages 909-928.
    3. Manski, Charles F & Lerman, Steven R, 1977. "The Estimation of Choice Probabilities from Choice Based Samples," Econometrica, Econometric Society, vol. 45(8), pages 1977-1988, November.
    4. Simon Cowan, 2010. "The Welfare Economics of Optional Water Metering," Economic Journal, Royal Economic Society, vol. 120(545), pages 800-815, June.
    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. Grillos, Tara & Zarychta, Alan & Nelson Nuñez, Jami, 2021. "Water scarcity & procedural justice in Honduras: Community-based management meets market-based policy," World Development, Elsevier, vol. 142(C).
    2. Manuel Meireles & Cida Sanches & Samuel Ferreira & José Osvaldo De Sordi & Givaldo Santos, 2016. "Social Efficiency of For-profit Organizations in Brazil: An Empirical Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 909-928, September.
    3. Cairns, Maryann R., 2018. "Metering water: Analyzing the concurrent pressures of conservation, sustainability, health impact, and equity in use," World Development, Elsevier, vol. 110(C), pages 411-421.

    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. Steimetz, Seiji S.C. & Brownstone, David, 2005. "Estimating commuters' "value of time" with noisy data: a multiple imputation approach," Transportation Research Part B: Methodological, Elsevier, vol. 39(10), pages 865-889, December.
    2. Lurkin, Virginie & Garrow, Laurie A. & Higgins, Matthew J. & Newman, Jeffrey P. & Schyns, Michael, 2017. "Accounting for price endogeneity in airline itinerary choice models: An application to Continental U.S. markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 228-246.
    3. Olmstead, Sheila M. & Michael Hanemann, W. & Stavins, Robert N., 2007. "Water demand under alternative price structures," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 181-198, September.
    4. Esmeralda Ramalho, 2004. "Covariate Measurement Error in Endogenous Stratified Samples," Economics Working Papers 2_2004, University of Évora, Department of Economics (Portugal).
    5. Nataraj, Shanthi & Hanemann, W. Michael, 2011. "Does marginal price matter? A regression discontinuity approach to estimating water demand," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 198-212, March.
    6. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.
    7. Keith Head & Yao Amber Li & Asier Minondo, 2019. "Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 713-727, October.
    8. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    9. Sarlin, Peter & von Schweinitz, Gregor, 2021. "Optimizing Policymakers’ Loss Functions In Crisis Prediction: Before, Within Or After?," Macroeconomic Dynamics, Cambridge University Press, vol. 25(1), pages 100-123, January.
    10. Stefano Usai & Emanuela Marrocu & Raffaele Paci, 2017. "Networks, Proximities, and Interfirm Knowledge Exchanges," International Regional Science Review, , vol. 40(4), pages 377-404, July.
    11. Nicolas Jacquemet & Stephane Luchini & Jason Shogren & Verity Watson, 2019. "Discrete Choice under Oaths," Post-Print halshs-02136103, HAL.
    12. Lancaster, Tony & Imbens, Guido, 1996. "Case-control studies with contaminated controls," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 145-160.
    13. repec:wly:econjl:v::y:2017:i:605:p:f236-f265 is not listed on IDEAS
    14. Jalan, Jyotsna & Ravallion, Martin, 1999. "Income gains to the poor from workfare - estimates for Argentina's TRABAJAR Program," Policy Research Working Paper Series 2149, The World Bank.
    15. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    16. Katrin Millock & Céline Nauges, 2010. "Household Adoption of Water-Efficient Equipment: The Role of Socio-Economic Factors, Environmental Attitudes and Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(4), pages 539-565, August.
    17. Rosenberger, Randall S. & Stanley, Tom D., 2006. "Measurement, generalization, and publication: Sources of error in benefit transfers and their management," Ecological Economics, Elsevier, vol. 60(2), pages 372-378, December.
    18. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    19. Clements, Kenneth W., 2008. "Price elasticities of demand are minus one-half," Economics Letters, Elsevier, vol. 99(3), pages 490-493, June.
    20. Lancaster, Tony & Imbens, Guido, 1995. "Optimal stock/flow panels," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 325-348.
    21. Soda, Giuseppe & Zaheer, Akbar & Sun, Xiaoming & Cui, Wentian, 2021. "Brokerage evolution in innovation contexts: Formal structure, network neighborhoods and knowledge," Research Policy, Elsevier, vol. 50(10).

    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:kap:enreec:v:54:y:2013:i:4:p:495-523. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.