IDEAS home Printed from https://ideas.repec.org/p/hhs/gunefd/2017_021.html
   My bibliography  Save this paper

Assessing the Performance of Alternative Water and Sanitation Tariffs: The Case of Nairobi, Kenya

Author

Listed:
  • Fuente, David
  • Kabubo-Mariara, Jane
  • Kimuyu, Peter
  • Mwaura, Mbutu
  • Whittington, Dale

Abstract

Policy makers and utility managers can use a variety of tariff structures to calculate customers’ bills for water and sanitation services, ranging from a simple flat monthly fee to complicated multipart tariffs with seasonal pricing based on metered water use. This paper examines the performance of alternative tariff structures for water and wastewater services in Nairobi, Kenya. In particular, we evaluate the performance of alternative tariffs relative to several criteria: the overall quantity of water sold (i.e., conservation), the magnitude of the total subsidy delivered through the tariff, subsidy incidence, change in customer welfare, and change in social welfare. To accomplish this, we develop a dynamic tariff simulation model and use a complete set of billing records from Nairobi City Water and Sewer Company to model the performance of alternative tariff structures. Contrary to conventional wisdom, we find that tariff alternatives with a uniform volumetric price perform as well as or better than increasing block tariff alternatives across nearly all policy-relevant metrics of tariff performance. These findings hold at the three levels of cost recovery that we consider and are robust to a wide range of assumptions about consumer behavior. This finding stands in stark contrast to the widespread use of increasing block tariffs (IBTs) in low and middle-income countries and to current perceptions of best practice in tariff design. Additionally, we find that neither the size of the lifeline block nor the number of blocks affects the relative performance of the IBT tariff alternatives in a policy-relevant manner. Finally, our simulations underscore the benefits of getting utilities on a path to improved cost recovery. This will be essential to ensuring governments have the resources to invest in climate resilient infrastructure and to meet the Sustainable Development Goals’ aspiration of ensuring universal access to safe water and sanitation services.

Suggested Citation

  • Fuente, David & Kabubo-Mariara, Jane & Kimuyu, Peter & Mwaura, Mbutu & Whittington, Dale, 2017. "Assessing the Performance of Alternative Water and Sanitation Tariffs: The Case of Nairobi, Kenya," EfD Discussion Paper 17-21, Environment for Development, University of Gothenburg.
  • Handle: RePEc:hhs:gunefd:2017_021
    as

    Download full text from publisher

    File URL: https://www.efdinitiative.org/sites/default/files/publications/efd_dp_17-21_rev_jan_9_2018.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Garcia, Serge & Reynaud, Arnaud, 2004. "Estimating the benefits of efficient water pricing in France," Resource and Energy Economics, Elsevier, vol. 26(1), pages 1-25, March.
    2. 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.
    3. Arnaud Reynaud, 2003. "An Econometric Estimation of Industrial Water Demand in France," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(2), pages 213-232, June.
    4. Roberto Martinez-Espineira & Celine Nauges, 2004. "Is all domestic water consumption sensitive to price control?," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1697-1703.
    5. Steven Renzetti, 1992. "Estimating the Structure of Industrial Water Demands: The Case of Canadian Manufacturing," Land Economics, University of Wisconsin Press, vol. 68(4), pages 396-404.
    6. Céline Nauges & Dale Whittington, 2010. "Estimation of Water Demand in Developing Countries: An Overview," The World Bank Research Observer, World Bank, vol. 25(2), pages 263-294, August.
    7. Emmanuel Saez, 2010. "Do Taxpayers Bunch at Kink Points?," American Economic Journal: Economic Policy, American Economic Association, vol. 2(3), pages 180-212, August.
    8. Martin S. Feldstein, 1972. "Equity and Efficiency in Public Sector Pricing: The Optimal Two-Part Tariff," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 86(2), pages 175-187.
    9. Saez, Emmanuel, 2003. "The effect of marginal tax rates on income: a panel study of 'bracket creep'," Journal of Public Economics, Elsevier, vol. 87(5-6), pages 1231-1258, May.
    10. 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.
    11. Diakité, Daouda & Semenov, Aggey & Thomas, Alban, 2009. "A proposal for social pricing of water supply in Côte d'Ivoire," Journal of Development Economics, Elsevier, vol. 88(2), pages 258-268, March.
    12. Raj Chetty & John N. Friedman & Tore Olsen & Luigi Pistaferri, 2011. "Adjustment Costs, Firm Responses, and Micro vs. Macro Labor Supply Elasticities: Evidence from Danish Tax Records," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 749-804.
    13. repec:cup:cbooks:9780521314008 is not listed on IDEAS
    14. Yeti Nisha Madhoo, 2009. "Policy and nonpolicy determinants of progressivity of block residential water rates - a case study of Mauritius," Applied Economics Letters, Taylor & Francis Journals, vol. 16(2), pages 211-215.
    15. Ruijs, A. & Zimmermann, A. & van den Berg, M., 2008. "Demand and distributional effects of water pricing policies," Ecological Economics, Elsevier, vol. 66(2-3), pages 506-516, June.
    16. Jean-Daniel Rinaudo & Noémie Neverre & Marielle Montginoul, 2012. "Simulating the Impact of Pricing Policies on Residential Water Demand: A Southern France Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 2057-2068, May.
    17. repec:ucp:ecdecc:v:41:y:1992:i:1:p:75-87 is not listed on IDEAS
    18. John A. Nordin, 1976. "A Proposed Modification of Taylor's Demand Analysis: Comment," Bell Journal of Economics, The RAND Corporation, vol. 7(2), pages 719-721, Autumn.
    19. Lester D. Taylor, 1975. "The Demand for Electricity: A Survey," Bell Journal of Economics, The RAND Corporation, vol. 6(1), pages 74-110, Spring.
    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. Mónica Maldonado-Devis & Vicent Almenar-Llongo, 2021. "A Panel Data Estimation of Domestic Water Demand with IRT Tariff Structure: The Case of the City of Valencia (Spain)," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    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. Worthington, Andrew C., 2010. "Commercial and Industrial Water Demand Estimation: Theoretical and Methodological Guidelines for Applied Economics Research/Estimación de la demanda de agua comercial e industrial: pautas teóricas y m," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 28, pages 237-258, Agosto.
    4. María Ángeles García-Valiñas & Sara Suárez-Fernández, 2022. "Are Economic Tools Useful to Manage Residential Water Demand? A Review of Old Issues and Emerging Topics," Post-Print hal-04067487, HAL.
    5. Ming-Feng Hung & Bin-Tzong Chie & Tai-Hsin Huang, 2017. "Residential water demand and water waste in Taiwan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 249-268, April.
    6. Fuente, David, 2019. "The design and evaluation of water tariffs: A systematic review," Utilities Policy, Elsevier, vol. 61(C).
    7. Barde, Julia Alexa & Lehmann, Paul, 2013. "Distributional effects of water tariff reforms: An empirical study for Lima, Peru," UFZ Discussion Papers 14/2013, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    8. Ming-Feng Hung & Bin-Tzong Chie, 2013. "Residential Water Use: Efficiency, Affordability, and Price Elasticity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 275-291, January.
    9. Antonio Musolesi & Mario Nosvelli, 2011. "Long-run water demand estimation: habits, adjustment dynamics and structural breaks," Applied Economics, Taylor & Francis Journals, vol. 43(17), pages 2111-2127.
    10. Teresa Torregrosa & Martín Sevilla & Borja Montaño & Victoria López-Vico, 2010. "The Integrated Management of Water Resources in Marina Baja (Alicante, Spain). A Simultaneous Equation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3799-3815, November.
    11. Darío F. Jiménez & Sergio A. Orrego & Felipe A. Vásquez & Roberto D. Ponce, 2017. "Estimating water demand for urban residential use using a discrete-continuous model and disaggregated data at the household level: the case of the city of Manizales, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 86, pages 153-178, Enero - J.
    12. Andrew C. Worthington & Mark Hoffman, 2008. "An Empirical Survey Of Residential Water Demand Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 842-871, December.
    13. Olmstead, Sheila M., 2014. "Climate change adaptation and water resource management: A review of the literature," Energy Economics, Elsevier, vol. 46(C), pages 500-509.
    14. Renzetti, Steven & Dupont, Diane P. & Chitsinde, Tina, 2015. "An empirical examination of the distributional impacts of water pricing reforms," Utilities Policy, Elsevier, vol. 34(C), pages 63-69.
    15. 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).
    16. David Hoyos & Alaitz Artabe, 2017. "Regional Differences in the Price Elasticity of Residential Water Demand in Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 847-865, February.
    17. Dinusha Dharmaratna & Edwyna Harris, 2012. "Estimating Residential Water Demand Using the Stone-Geary Functional Form: The Case of Sri Lanka," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2283-2299, June.
    18. Marie-Estelle Binet & Fabrizio Carlevaro & Michel Paul, 2014. "Estimation of Residential Water Demand with Imperfect Price Perception," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 561-581, December.
    19. Schleich, Joachim & Hillenbrand, Thomas, 2009. "Determinants of residential water demand in Germany," Ecological Economics, Elsevier, vol. 68(6), pages 1756-1769, April.
    20. 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.

    More about this item

    Keywords

    tariff simulation; water pricing; sanitation; increasing block tariff; Kenya; Africa;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

    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:hhs:gunefd:2017_021. 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: Franklin Amuakwa-Mensah (email available below). General contact details of provider: https://www.efdinitiative.org/ .

    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.