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

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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 €).

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Bibliographic Info

Paper provided by Laboratoire d'Economie Forestiere, AgroParisTech-INRA in its series Working Papers - Cahiers du LEF with number 2009-05.

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Length: 36 pages
Date of creation: Dec 2009
Date of revision:
Handle: RePEc:lef:wpaper:2009-05

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Keywords: forest; national survey; recreative value; travel-cost method; zero-inflated count data models.;

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References

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  1. 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.
  2. Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
  3. Garcia, Serge & Harou, Patrice & Montagné, Claire & Stenger, Anne, 2009. "Models for sample selection bias in contingent valuation: Application to forest biodiversity," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 59-78, January.
  4. K. G. Willis & G. D. Garrod, 1991. "An Individual Travel-Cost Method Of Evaluating Forest Recreation," Journal of Agricultural Economics, Wiley Blackwell, vol. 42(1), pages 33-42.
  5. Nick Hanley & Robin Ruffell, 1992. "The Valuation of Forest characteristics," Working Papers 849, Queen's University, Department of Economics.
  6. Grogger, J T & Carson, Richard T, 1991. "Models for Truncated Counts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 225-38, July-Sept.
  7. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
  8. 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 104-12, February.
  9. Alan Randall, 1994. "Difficulty with the Travel Cost Method," Land Economics, University of Wisconsin Press, vol. 70(1), pages 88-96.
  10. Zandersen, Marianne & Tol, Richard S.J., 2009. "A meta-analysis of forest recreation values in Europe," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 109-130, January.
  11. 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.
  12. William H. Greene, 1994. "Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models," Working Papers 94-10, New York University, Leonard N. Stern School of Business, Department of Economics.
  13. Timothy C. Haab & Kenneth E. McConnell, 1996. "Count Data Models and the Problem of Zeros in Recreation Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 89-102.
  14. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-44, September.
  15. Creel, Michael D & Loomis, John B, 1991. "Confidence Intervals for Welfare Measures with Application to a Problem of Truncated Counts," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 370-73, May.
  16. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
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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.

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