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La valeur récréative de la forêt en France: une approche par les coûts de déplacement

Author

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  • Serge Garcia

    (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

  • Julien Jacob

    (BETA, Université Nancy 2)

Abstract

The forest is an important element in most countries and its multifunctional character explains its great value. This study aims at giving a monetary value to one of these functions that occupies a special place in our urban societies: the recreative use. We use the individual approach of the travel-cost method (TCM) from a survey made up of more than 4500 households surveyed by phone on the whole of the French territory in 2001. This type of survey and the zero-inflated count data models used in the econometric analysis make it possible to take into account the non-forest visitors. To reflect the heterogeneity of forests in France, the sample is segmented into nine inter-regions forming coherent forest sets. Individual surplus per visit are calculated for each region, showing variations in the recreational value of forests in France (from 0 to 47 €).

Suggested Citation

  • Serge Garcia & Julien Jacob, 2009. "La valeur récréative de la forêt en France: une approche par les coûts de déplacement," Working Papers - Cahiers du LEF 2009-05, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
  • Handle: RePEc:lef:wpaper:2009-05
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    File URL: http://www.nancy.inra.fr/lef/content/download/3164/32119/version/2/file/doc_LEF_n2009-05.pdf
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    Cited by:

    1. 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.
    2. Pierre-Alexandre Mahieu & Romain Craste & Bengt Kriström & Pere Riera, 2014. "Non-market valuation in France: An overview of the research activity," Working Papers hal-01087365, HAL.
    3. Léa Tardieu & Laetitia Tufféry, 2019. "From supply to demand factors : what are the determinants of attractiveness for outdoor recreation?," Post-Print hal-02883545, HAL.
    4. Tardieu, Léa & Tuffery, Laëtitia, 2019. "From supply to demand factors: What are the determinants of attractiveness for outdoor recreation?," Ecological Economics, Elsevier, vol. 161(C), pages 163-175.
    5. Lea Tardieu & Sébastien Roussel & Jean-Michel Salles, 2012. "Recreation demand analysis of natural areas: a revealed-preference approach," Post-Print hal-02746734, HAL.
    6. Nicolas Borzykowski & Andrea Baranzini & David Maradan, 2017. "A travel cost assessment of the demand for recreation in Swiss forests," Review of Agricultural, Food and Environmental Studies, Springer, vol. 98(3), pages 149-171, December.

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    More about this item

    Keywords

    forest; national survey; recreative value; travel-cost method; zero-inflated count data models.;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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