IDEAS home Printed from https://ideas.repec.org/p/hhs/slucer/2014_014.html
   My bibliography  Save this paper

Determinants of willingness-to-pay for renewable energy: does the age of nuclear power plant reactors matter?

Author

Listed:
  • Mahieu, Pierre-Alexandre

    (LEMNA)

  • Donfouet, Hermann Pythagore Pierre

    (CREM)

  • Kriström, Bengt

    (CERE)

Abstract

Many countries are facing a dilemma over whether to extend the lives of their old reactors or make costly capital investments on Renewable Energy (RE). This paper explores the determinants of Willingness-To-Pay (WTP) for RE in France by means of a contingent valuation question that was included in a large web survey organized by the OECD. The main contribution of our paper is to test whether people living close to a reactor are sensitive to the age of the reactor. We find that the age of the reactor has a positive effect on WTP for RE.

Suggested Citation

  • Mahieu, Pierre-Alexandre & Donfouet, Hermann Pythagore Pierre & Kriström, Bengt, 2014. "Determinants of willingness-to-pay for renewable energy: does the age of nuclear power plant reactors matter?," CERE Working Papers 2014:14, CERE - the Center for Environmental and Resource Economics.
  • Handle: RePEc:hhs:slucer:2014_014
    as

    Download full text from publisher

    File URL: http://www.cere.se/se/forskning/publikationer/590-determinants-of-willingness-to-pay-for-renewable-energy-does-the-age-of-nuclear-power-plant-reactors-matter.html
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Gianluca Grilli, 2017. "Renewable energy and willingness to pay: Evidences from a meta-analysis," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(1-2), pages 253-271.
    2. Galzi, Pierre-Yves, 2023. "Do green electricity consumers contribute to the increase in electricity generation capacity from renewable energy sources? Evidence from France," Energy Policy, Elsevier, vol. 179(C).

    More about this item

    Keywords

    Contingent valuation; nuclear power plant; renewable energy;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • I10 - Health, Education, and Welfare - - Health - - - General
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:slucer:2014_014. 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: Mona Bonta Bergman (email available below). General contact details of provider: http://www.cere.se .

    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.