IDEAS home Printed from https://ideas.repec.org/a/cup/jbcoan/v2y2011i03p1-37_00.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S2194588800000221/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    More about this item

    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:cup:jbcoan:v:2:y:2011:i:03:p:1-37_00. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/bca .

    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.