IDEAS home Printed from https://ideas.repec.org/p/ags/saea10/56510.html
   My bibliography  Save this paper

Incentives for Residential Water Conservation: Water Price, Revenue, and Consumer Equity in Florida

Author

Listed:
  • Rawls, Colin
  • Borisova, Tatiana
  • Berg, Sanford
  • Burkhardt, Jeffrey

Abstract

Economic theory suggests that price incentives can be used to encourage water conservation in residential consumers. Conservation water rates are designed to send price signals that encourage households to reduce discretionary water use in the long term. However, it is not always clear that conservation rates effectively provide meaningful incentives. Utilities themselves may also not have strong incentives to implement conservation rates. If conservation rates have a negative impact on revenue, or if they lead to increased revenue variability, utilities may have a disincentive to use them. In addition, block pricing structures (where unit water rate increases with water usage) may be inequitable, in the sense that the “revenue burden” is borne disproportionately by some customer groups. This may make some rate structures unpopular with consumers and politically unfeasible. Because there is no consensus about what defines conservation rates, they take many forms. In Florida, the two most common are: uniform rates- where customers pay a set fee for each unit of water used, and inclining block rates- where the price per unit becomes progressively higher. Empirical evidence about the incentives provided by various structures is limited. This research has three main objectives. The first is to analyze whether or not the number of price blocks affects the conservation incentives faced by residential consumers. The second is to test for statistical evidence that rate structure effects revenue variability. And, the third is to analyze the impact of different rate structures on consumer equity. Secondary data from sixteen Florida utilities are used to meet the objectives of the study. The sample was originally chosen by Dr. John Whitcomb as a part of his study Florida Water Rates Evaluation of Single-Family Homes (2005). Whitcomb (2005) includes rate information, customer survey results, and empirical data on actual water use for 7,200 households from 1998 to 2003. For the first objective, a descriptive analysis of rate structures is used. Household reductions in water use are compared to corresponding reductions in water bills for all rate structure periods. Larger reductions in corresponding bills indicate stronger conservation price signals. Distribution of utility revenues between volumetric and fixed water and wastewater charges is also examined, and larger share of volumetric charges is linked to a stronger conservation price signal. The second part of the study uses graphical analysis and a simple OLS model to examine rate structure and revenue variability. For the third objective, Gini coefficients and Lorenz curves were used, following Morgan (1987). Households are divided into income groups and usage groups. Gini Coefficients are calculated based on these groups. Lower coefficients indicate a more equitable rate structure. The results indicate that the conservation price signals are strongest for inclining block structures with more than three price blocks. Block structures with three or less price blocks do not send stronger price signals than uniform rate structures. In some cases, the price incentive to reduce water consumption by 40% was stronger for uniform structures than for inclining block structures with three blocks. Within the sample, the price incentive is strongest for inclining block structures with more than three price blocks. Alternatively, the utility revenue distribution results suggest that the number of price blocks is not necessarily a good indicator of how conservation oriented a rate structure is. In several cases, the percentage of revenue from volumetric sources was higher for uniform structures than for block structures. Analysis for objectives two and three will be completed in October 2009. Preliminary results for objective two provide evidence that revenue variability could be a significant disincentive for utilities to adopt conservation rates. While there was no statistical evidence that overall revenue is affected by changes in rate structure, there is some evidence that utility revenue streams are more variable for block structures than for uniform structures. Preliminary objective three results suggest that customer equity is not adversely affected by conservation rates. When divided into income groups, the estimated Gini coefficients for uniform and inclining block rate structures were similar and close to zero, indicating equitable pricing.

Suggested Citation

  • Rawls, Colin & Borisova, Tatiana & Berg, Sanford & Burkhardt, Jeffrey, 2010. "Incentives for Residential Water Conservation: Water Price, Revenue, and Consumer Equity in Florida," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 56510, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea10:56510
    DOI: 10.22004/ag.econ.56510
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/56510/files/Incetives%20for%20Residential%20Water%20Conservation%20a.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.56510?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. Céline Nauges & Alban Thomas, 2000. "Privately Operated Water Utilities, Municipal Price Negotiation, and Estimation of Residential Water Demand: The Case of France," Land Economics, University of Wisconsin Press, vol. 76(1), pages 68-85.
    2. Donald E. Agthe & R. Bruce Billings, 1987. "Equity, Price Elasticity, and Household Income Under Increasing Block Rates for Water," American Journal of Economics and Sociology, Wiley Blackwell, vol. 46(3), pages 273-286, July.
    Full references (including those not matched with items on IDEAS)

    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. Arbues, Fernando & Garcia-Valinas, Maria Angeles & Martinez-Espineira, Roberto, 2003. "Estimation of residential water demand: a state-of-the-art review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(1), pages 81-102, March.
    2. Henrique Monteiro, 2010. "Residential Water Demand in Portugal: checking for efficiency-based justifications for increasing block tariffs," Working Papers Series 1 ercwp0110, ISCTE-IUL, Business Research Unit (BRU-IUL).
    3. Roberto Balado-Naves & Marian Garcia-Valiñas & David Roibas, 2023. "Efficiency, perceived prices, and household water demand: A stochastic frontier analysis for the Spanish city of Gijón," Working Papers hal-04147781, HAL.
    4. Tchigriaeva, Elena & Lott, Corey & Kimberly, Rollins, 2014. "Modeling effects of multiple conservation policy instruments and exogenous factors on urban residential water demand through household heterogeneity," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170605, Agricultural and Applied Economics Association.
    5. Tamkinat Rauf & M. Wasif Siddiqi, 2008. "Price-setting for Residential Water: Estimation of Water Demand in Lahore," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 893-906.
    6. Roberto Balado-Naves & Marian Garcia-Valiñas & David Roibas, 2023. "Efficiency, perceived prices, and household water demand: A stochastic frontier analysis for the Spanish city of Gijón," Efficiency Series Papers 2023/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    7. Fullerton, Thomas M., Jr. & Ceballos, Alejandro & Walke, Adam G., 2015. "Short-Term Forecasting Analysis for Municipal Water Demand," MPRA Paper 78259, University Library of Munich, Germany, revised 04 Aug 2015.
    8. Steven Andrew Fenrick & Lullit Getachew, 2012. "Estimation of the effects of price and billing frequency on household water demand using a panel of Wisconsin municipalities," Applied Economics Letters, Taylor & Francis Journals, vol. 19(14), pages 1373-1380, September.
    9. Acuña, Guillermo, 2017. "Elasticidades de la demanda de agua en Chile [Elasticities of water demand in Chile]," MPRA Paper 82916, University Library of Munich, Germany.
    10. Théophile Azomahou, 2008. "Minimum distance estimation of the spatial panel autoregressive model," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 2(1), pages 49-83, April.
    11. E. Strazzera, 2006. "Application of the ML Hausman approach to the demand of water for residential use: heterogeneity vs two-error specification," Working Paper CRENoS 200604, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    12. 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.
    13. Cooper, Bethany & Crase, Lin, 2006. "Equity and Efficiency Tradeoffs in Water: Prospects for Choice Modelling," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 174097, Australian Agricultural and Resource Economics Society.
    14. Djiby Racine Thiam & Ariel Dinar & Hebert Ntuli, 2021. "Promotion of residential water conservation measures in South Africa: the role of water-saving equipment," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(1), pages 173-210, January.
    15. Arbues, Fernando & Villanu´a, Inmaculada & Barberán Ortí, Ramón, 2010. "Household size and residential water demand: an empirical approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(1), pages 1-20.
    16. Yan Liu & Yan Wang & Han Zhao & Yibin Ao & Linchuan Yang, 2020. "Influences of Building Characteristics and Attitudes on Water Conservation Behavior of Rural Residents," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    17. Lott, Corey & Tchigriaeva, Elena & Rollins, Kimberly & Stoddard, Shawn, 2014. "Residential water demand, climate change and exogenous economic trends," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170660, Agricultural and Applied Economics Association.
    18. Mark Hoffmann & Andrew Worthington & Helen Higgs, 2006. "Urban water demand with fixed volumetric charging in a large municipality: the case of Brisbane, Australia ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(3), pages 347-359, September.
    19. Saeed Ghavidelfar & Asaad Y. Shamseldin & Bruce W. Melville, 2017. "Future implications of urban intensification on residential water demand," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(10), pages 1809-1824, October.
    20. María Angeles García Valiñas, 2005. "Promotion and remuneration of university professors: from the LRU to the COU," Hacienda Pública Española / Review of Public Economics, IEF, vol. 172(1), pages 119-143, June.

    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:saea10:56510. 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/saeaaea.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.