IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-02139114.html
   My bibliography  Save this paper

Preferences for forest recreational services using the random bidding model

Author

Listed:
  • Laetitia Tuffery

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - FRE2010 - INRA - Institut National de la Recherche Agronomique - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

Abstract

In this article, we estimate how the willingness to pay (WTP) for forest recreational services affects housing choice location based on the random bidding model. We obtain four major original findings: (i) The WTP for urban park proximity is globally non-significant, in contrast to forest area. (ii) When forests are recreational green spaces (defined by surface area), they positively influence the WTP, which is higher for the wealthiest households and those over the age of 45. (iii) When forests are natural protected areas, their influence on the WTP is negative for the least affluent classes but positive for managers and professionals belonging to the 30-45 age group. (iv) Finally, forest facilities such as hiking and biking paths have a positive impact on the WTP for most socio-professional categories (with the exception of managers and professionals) and especially for households under the age of 30.

Suggested Citation

  • Laetitia Tuffery, 2019. "Preferences for forest recreational services using the random bidding model," Post-Print halshs-02139114, HAL.
    • Handle: RePEc:hal:journl:halshs-02139114
    DOI: 10.1016/j.landurbplan.2019.04.022
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02139114
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-02139114/document
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.landurbplan.2019.04.022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Forest proximity; recreational amenity; random bidding model; heterogeneous preference JEL codes: D44;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions

    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:hal:journl:halshs-02139114. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.