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Benefit-Cost Analysis with Local Residents’ Stated Preference Information: A Study of Non-Motorized Transport Investments in Pune, India

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  • Wang, Hua
  • Fang, Ke
  • Shi, Yuyan

Abstract

One of the major difficulties in doing benefit-cost analyses of a development project is to estimate a total economic value of the project benefits, which are usually multi-dimensional and include goods and services that are not traded in the market, and challenges also arise in aggregating the values of different benefits, which may not be mutually exclusive. This paper presents an analysis of a non-motorized transport project in Pune, India, which uses the contingent valuation method to estimate the total value of the project benefits across beneficiaries. A sample of the project beneficiaries are presented with a detailed description of the project and then are asked to vote on whether such a project should be undertaken given different specifications of costs to their households. A function of willingness-to-pay for the project is then derived from the survey answers and the key determinants are found to include household income, distance to the project streets, current use of the transportation modes, future use of the project streets, predicted impacts of the project, and level of trust in the government. The total willingness-to-pay of the local residents is found to be smaller than the total cost of an initial design of the project. Heteroskedasticity is also found to present in the willingness-to-pay models.

Suggested Citation

  • Wang, Hua & Fang, Ke & Shi, Yuyan, 2011. "Benefit-Cost Analysis with Local Residents’ Stated Preference Information: A Study of Non-Motorized Transport Investments in Pune, India," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 2(3), pages 1-37, August.
    • Handle: RePEc:cup:jbcoan:v:2:y:2011:i:03:p:1-37_00
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    1. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
    2. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    3. Kathleen M. Painter & Robert Douglas Scott II & Philip R. Wandschneider & Kenneth L. Casavant, 2002. "Using Contingent Valuation to Measure User and Nonuser Benefits: An Application to Public Transit," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(2), pages 394-409.
    4. Fredrik Carlsson & Olof Johansson-Stenman, 2000. "Willingness to pay for improved air quality in Sweden," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 661-669.
    5. Alberini, Anna & Boyle, Kevin & Welsh, Michael, 2003. "Analysis of contingent valuation data with multiple bids and response options allowing respondents to express uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 40-62, January.
    6. Walton, D. & Thomas, J. A. & Cenek, P. D., 2004. "Self and others' willingness to pay for improvements to the paved road surface," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(7), pages 483-494, August.
    7. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    8. Wang, Hua & Whittington, Dale, 2005. "Measuring individuals' valuation distributions using a stochastic payment card approach," Ecological Economics, Elsevier, vol. 55(2), pages 143-154, November.
    9. Welsh, Michael P. & Poe, Gregory L., 1998. "Elicitation Effects in Contingent Valuation: Comparisons to a Multiple Bounded Discrete Choice Approach," Journal of Environmental Economics and Management, Elsevier, vol. 36(2), pages 170-185, September.
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    Cited by:

    1. Hua Wang & Jie He & Desheng Huang, 2018. "Valuation Biases Caused by Public Distrust: Identification and Calibration with Contingent Valuation Studies of Two Air Quality Improvement Programs in China," Cahiers de recherche 18-05, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.

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