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

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Author Info

  • Serge Garcia

    ()
    (INRA, UMR356 Laboratoire d’économie forestière et Agroparistech et ENGREF, LEF, 14, rue Girardet, CS 14216, 54042 Nancy, France)

  • Julien Jacob

    (BETA, UMR 7522 CNRS/Université de Strasbourg/Nancy-Université, France)

Abstract

[paper in French] Open-access is probably the main cause of crowding on recreational sites, especially when they are attractive and close to urban areas. In this case, theory predicts equilibrium and optimum differ due to externality of congestion. Whereas Fisher and Krutilla (1972) caracterized optimum and equilibrium in monosite models, recent works on congestion in multiple sites models (Random Utility Models) only study equilibrium and the repartition of visits between sites in an empirical way. Our theoretical framework allows us to go further and derive visitation equilibrium and visitation optimum in a two sites Random Utility Model with participation. Sites differ by quality. We use a recent measure of welfare (Erlander, 2005), essential to calculate optimum. At equilibrium, we show that participation is too high and that the high quality site is too much visited. We introduce optimal taxes to resolve this issue. Because this solution does not appear very realistic in the French case, we also examine impacts of improvements of quality on welfare. An illustration is finally proposed with a multinomial logit model estimated with data on recreational fishing

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Bibliographic Info

Article provided by INRA Department of Economics in its journal Review of Agricultural and Environmental Studies.

Volume (Year): 91 (2010)
Issue (Month): 1 ()
Pages: 43-71

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Handle: RePEc:rae:jourae:v:91:y:2010:i:1:p:43-71

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Keywords: endogenous congestion; optimum; equilibrium; Random Utility Model; recreation demand;

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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. 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.
  3. 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.
  4. 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.
  5. Nick Hanley & Robin Ruffell, 1992. "The Valuation of Forest characteristics," Working Papers 849, Queen's University, Department of Economics.
  6. 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.
  7. Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
  8. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
  9. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
  10. 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.
  11. Alan Randall, 1994. "Difficulty with the Travel Cost Method," Land Economics, University of Wisconsin Press, vol. 70(1), pages 88-96.
  12. 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.
  13. 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.
  14. 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.
  15. Marianne Zandersen & Richard S.J. Tol, 2005. "A Meta-analysis of Forest Recreation Values in Europe," Working Papers FNU-86, Research unit Sustainability and Global Change, Hamburg University, revised Aug 2005.
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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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