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The impact of tap connection on water use: the case of household water consumption in Dakar, Senegal

Published online by Cambridge University Press:  22 September 2009

ANNE BRIAND
Affiliation:
CARE, University of Rouen, 3 avenue Pasteur, F-76186 Rouen Cedex 1, France. Email: [email protected]
CÉLINE NAUGES
Affiliation:
Toulouse School of Economics (LERNA-INRA), 21 Allée de Brienne, F-31000 Toulouse, France. Email: [email protected]
JON STRAND
Affiliation:
World Bank, 1818 H Street NW, Washington, DC 20433, USA. Email: [email protected]
MURIEL TRAVERS
Affiliation:
GRANEM, University of Angers, 13, Allée François Mitterrand, F-49036 Angers Cedex 01, France. Email: [email protected]

Abstract

Predicting residential water demand for non-connected households that obtain connections is a crucial issue for water planners in developing countries. We propose a technique derived from Heckman (1976) to accurately measure the expected increase in water use due to access to tap water while controlling for differences in characteristics between connected and non-connected households. Illustration is made on a cross section of 246 households from Dakar, Senegal. We show that getting a tap connection induces an expected increase in water use of 26 L per capita per day.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2009

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References

Briand, A. (2006), ‘Politiques tarifaires de l'eau, sécurité alimentaire et vulnérabilité climatique au Sénégal: un modèle d'équilibre général calculable éclairé par une enquête ménages’, Thèse de doctorat, University of Rouen, Rouen, France (in French).Google Scholar
Briand, A., Nauges, C., and Travers, M. forthcoming, ‘Choix d'approvisionnement en eau des ménages de Dakar: une étude économétrique à partir de données d'enquête’, Revue d'Economie du Développement (in French).Google Scholar
Carpentier, A., Nauges, C., Reynaud, A., and Thomas, A. (2006), ‘Effets de la délégation sur le prix de l'eau potable en France: une analyse à partir de la littérature sur les effets de traitement’, Economie et Prévision 174: 120 (in French).CrossRefGoogle Scholar
Daniere, A. (1994), ‘Estimating willingness to pay for housing attributes: an application to Cairo and Manila’, Regional Science and Urban Economics 24: 577599.CrossRefGoogle Scholar
Filmer, D. and Pritchett, L.H. (2001), ‘Estimating wealth effects without expenditure data or tears: an application to educational enrolments in states of India’, Demography 38: 115132.Google ScholarPubMed
Greene, W. (2003), Econometric Analysis, 5th ed., Upper Saddle River, NJ: Prentice Hall.Google Scholar
Heckman, J.J. (1976), ‘The common structure of statistical models of truncation, sample selection, and limited dependent variables and a simple estimator for such models’, Annals of Economic and Social Measurement 5: 475492.Google Scholar
Heckman, J.J., Tobias, J.L., and Vytlacil, E. (2001a), ‘Simple estimators for treatment parameters in a latent variable framework’, Working Paper, University of Chicago.CrossRefGoogle Scholar
Heckman, J.J., Tobias, J.L., and Vytlacil, E. (2001b), ‘Four parameters of interest in the evaluation of social programs’, Southern Economic Journal 68: 210223.Google Scholar
Heckman, J.J., Tobias, J.L. and Vytlacil, E. (2003), ‘Simple estimators for treatment parameters in a latent variable framework’, The Review of Economics and Statistics 85 (3): 748755.CrossRefGoogle Scholar
Komives, K. (2003), ‘Infrastructure, property values, and housing choice: An application of property value models in the developing country context’, Ph.D. Dissertation, Department of City and Regional Planning, University of North Carolina, Chapel Hill, NC.Google Scholar
Larson, B., Minten, B., and Razafindralambo, R. (2006), ‘Unravelling the linkages between the millennium development goals for poverty, education, access to water and household water use in developing countries: evidence from Madagascar’, Journal of Development Studies 42: 2240.CrossRefGoogle Scholar
Lauria, D.T., Alfredo, H.D., and Anthony, A.K. (1997), ‘Final report on willingness to pay for improved water and sanitation in Dakar, Senegal: report to the Senegal National Water Society, Government of Senegal and the World Bank, Unpublished Manuscript, University of North Carolina at Chapel Hill.Google Scholar
Lauria, D.T., Hopkins, O.S., and Debomy, S. (2005), ‘Pro-poor subsidies for water connections in West Africa: A preliminary study, Water and Sanitation Working Notes’, Unpublished Manuscript, The World Bank, Washington, DC.Google Scholar
Nauges, C. and Strand, J. (2007), ‘Estimation of non-tap water demand in Central American cities’, Resource and Energy Economics 29: 165182.CrossRefGoogle Scholar
Nauges, C., Strand, J., and Walker, I. (2009), ‘The value of water connections in Central American cities: a revealed preference study’, Environment and Development Economics 14 (3): 349370.CrossRefGoogle Scholar
Nauges, C., and Whittington, D. forthcoming, ‘Estimation of water demand in developing countries – an overview’, The World Bank Research Observer.Google Scholar
North, J.H., and Griffin, C.C. (1993), ‘Water source as a housing characteristic: hedonic property valuation and willingness to pay for water’, Water Resources Research 29: 19231929.CrossRefGoogle Scholar
Société Nationale des Eaux du Sénégal (SONES) (2004), ‘Rapport d'avancement du projet sectoriel eau au 31 décembre 2003’, Direction de la planification et de l'équipement, janvier, Dakar, Senegal (in French).Google Scholar
Whittington, D., Briscoe, J., Mu, X., and Barron, W. (1990a), ‘Estimating the willingness to pay for water services in developing countries: a case study of the use of contingent valuation surveys in Southern Haiti’, Economic Development and Cultural change 38: 293311.CrossRefGoogle Scholar
Whittington, D., W.M. Hanemann, Sadoff, C., and Jeuland, M. forthcoming, ‘Water and Sanitation Challenge Paper’, in Lomborg, B. (ed.) Global Crises, Global Solutions, 2nd ed., Cambridge University Press.Google Scholar
Whittington, D. and Lauria, D.T. (1991), ‘A study of water vending and willingness to pay for water in Onitsha, Nigeria’, World Development 19: 179198.CrossRefGoogle Scholar
Whittington, D., Mu, X., and Roche, R. (1990b), ‘Calculating the value of time spent collecting water: some estimates for Ukunda, Kenya’, World Development 18: 226280.CrossRefGoogle Scholar
Whittington, D., Pattanayak, S.K., Jui-Chen, Y., and Bal Kumar, K.C. (2002), ‘Household demand for improved piped water services: evidence from Kathmandu, Nepal’, Water Policy 4: 531556.CrossRefGoogle Scholar
Wooldridge, J.M. (2002), Econometric Analysis of Cross Section and Panel Data, Cambridge, MA: MIT Press.Google Scholar
World Health Organization (2000), ‘Global water supply and sanitation assessment 2000 report’. Available at http://www.who.int/water_sanitation_health/monitoring/globalassess/en/ Google Scholar