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Carafe ou bouteille ?. Le rôle de la qualité de l'environnement dans la décision du consommateur

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  • Christophe Bontemps
  • Céline Nauges

Abstract

The authors use an econometric study to measure the impact of environmental, socio-economic, and cultural factors onconsumers? decisions to drink tap water or not. Our approach features two novel aspects : (1) the use ofhousehold-consumption data combined with information on environmental quality ? particularly the quality of raw water? in the households? localities of residence ; (2) the use of water-potabilization costs as an indicator of the ?poor quality? ofraw water. Estimating a Probit model on a sample of 4,623 households, we show that the ?poor quality? of raw water is asubstantial determinant of the decision to drink or avoid tap water. Our study also confirms the significant role ofhousehold characteristics and regional effects. Lastly, our results suggest no decisive impact of the form of water-servicemanagement (public/private) on consumer choice.

Suggested Citation

  • Christophe Bontemps & Céline Nauges, 2009. "Carafe ou bouteille ?. Le rôle de la qualité de l'environnement dans la décision du consommateur," Economie & Prévision, La Documentation Française, vol. 0(2), pages 61-79.
    • Handle: RePEc:cai:ecoldc:ecop_188_0061
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    References listed on IDEAS

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    1. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    2. Alain Carpentier & Céline Nauges & Arnaud Reynaud & Alban Thomas, 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»," Économie et Prévision, Programme National Persée, vol. 174(3), pages 1-19.
    3. Christine Boizot, 1999. "La demande de boissons des ménages : une estimation de la consommation à domicile," Économie et Statistique, Programme National Persée, vol. 324(1), pages 143-156.
    4. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-465, May.
    5. Bryan J. Hubbell & Jeffrey L. Jordan, 2000. "Joint Production and Averting Expenditure Measures of Willingness to Pay: Do Water Expenditures Really Measure Avoidance Costs?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 427-437.
    6. Dickie, Mark & Gerking, Shelby, 1991. "Willingness to Pay for ozone control: Inferences from the demand for medical care," Journal of Environmental Economics and Management, Elsevier, vol. 21(1), pages 1-16, July.
    7. Courant, Paul N. & Porter, Richard C., 1981. "Averting expenditure and the cost of pollution," Journal of Environmental Economics and Management, Elsevier, vol. 8(4), pages 321-329, December.
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    1. Lanz, Bruno & Provins, Allan, 2017. "Using averting expenditures to estimate the demand for public goods: Combining objective and perceived quality," Resource and Energy Economics, Elsevier, vol. 47(C), pages 20-35.
    2. Bontemps, Christophe & Racine, Jeffrey S. & Simioni, Michel, 2009. "Nonparametric vs parametric binary choice models: An empirical investigation," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49286, Agricultural and Applied Economics Association.
    3. Céline Nauges, 2014. "Greening Household Behaviour and Water," OECD Environment Working Papers 73, OECD Publishing.
    4. Miguel A. García-Rubio & Cecilia Tortajada & Francisco González-Gómez, 2016. "Privatising Water Utilities and User Perception of Tap Water Quality: Evidence from Spanish Urban Water Services," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 315-329, January.
    5. repec:gii:ciesrp:cies_rp_36rev is not listed on IDEAS

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