IDEAS home Printed from https://ideas.repec.org/p/lam/wpaper/12-30.html
   My bibliography  Save this paper

Recreation Demand Analysis of the "Sensitive Natural Areas" (Hérault District, France) : A Travel Cost Appraisal using Count Data Models

Author

Listed:
  • Sébastien Roussel
  • Jean-Michel Salles
  • Léa Tardieu

Abstract

Natural areas are essentially multifunctional, contributing in multiple ways to human well-being. Ecosystem goods and services are provided through ecosystem func- tions (regulation, habitat, production and information). Among the multiple services provided by natural areas, recreational services are increasingly valuable. The main objective of our paper is to evaluate the recreation demand of the Sensitive Natural Areas(SNA) public policy in the Hérault District (Languedoc-Roussillon Region, France). These natural areas are acquired as land ownership by the Hérault District to ensure their protection from urban pressure and making them free to access. We highlight the recreation bene ts in a Cost-Bene t Analysis (CBA) whilst measuring [...].

Suggested Citation

  • Sébastien Roussel & Jean-Michel Salles & Léa Tardieu, 2012. "Recreation Demand Analysis of the "Sensitive Natural Areas" (Hérault District, France) : A Travel Cost Appraisal using Count Data Models," Working Papers 12-30, LAMETA, Universtiy of Montpellier, revised Sep 2012.
  • Handle: RePEc:lam:wpaper:12-30
    as

    Download full text from publisher

    File URL: http://www.lameta.univ-montp1.fr/Documents/DR2012-30.pdf
    File Function: First version, 2012
    Download Restriction: no

    References listed on IDEAS

    as
    1. de Groot, Rudolf S. & Wilson, Matthew A. & Boumans, Roelof M. J., 2002. "A typology for the classification, description and valuation of ecosystem functions, goods and services," Ecological Economics, Elsevier, vol. 41(3), pages 393-408, June.
    2. Joseph Hilbe & Roberto Martinez-Espineira, 2005. "NBSTRAT: Stata module to estimate Negative Binomial with Endogenous Stratification," Statistical Software Components S456414, Boston College Department of Economics.
    3. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-112, February.
    4. Willig, Robert D, 1976. "Consumer's Surplus without Apology," American Economic Review, American Economic Association, vol. 66(4), pages 589-597, September.
    5. Serge Garcia & Julien Jacob, 2010. "La valeur récréative de la forêt en France : une approche par les coûts de déplacement," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 91(1), pages 43-71.
    6. Feather, Peter & Shaw, W. Douglass, 1999. "Estimating the Cost of Leisure Time for Recreation Demand Models," Journal of Environmental Economics and Management, Elsevier, vol. 38(1), pages 49-65, July.
    7. Egan, Kevin & Herriges, Joseph, 2006. "Multivariate count data regression models with individual panel data from an on-site sample," Journal of Environmental Economics and Management, Elsevier, vol. 52(2), pages 567-581, September.
    8. Bujosa Bestard, Angel & Font, Antoni Riera, 2009. "Environmental diversity in recreational choice modelling," Ecological Economics, Elsevier, vol. 68(11), pages 2743-2750, September.
    9. Grogger, J T & Carson, Richard T, 1991. "Models for Truncated Counts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 225-238, July-Sept.
    10. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
    11. Nancy E. Bockstael & Ivar E. Strand & W. Michael Hanemann, 1987. "Time and the Recreational Demand Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(2), pages 293-302.
    12. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    13. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics,in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761 Elsevier.
    14. Shrestha, Ram K. & Seidl, Andrew F. & Moraes, Andre S., 2002. "Value of recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models," Ecological Economics, Elsevier, vol. 42(1-2), pages 289-299, August.
    Full references (including those not matched with items on IDEAS)

    More about this item

    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:lam:wpaper:12-30. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Patricia Modat). General contact details of provider: http://edirc.repec.org/data/lamplfr.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.