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Valuing Forest Biodiversity from a National Survey in France: A Dichotomous Choice Contingent Valuation

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Author Info

  • Serge Garcia

    ()
    (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

  • Patrice Harou

    ()
    (Pinchot Institute, Washington, USA)

  • Claire Montagne

    ()
    (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

  • Anne Stenger

    ()
    (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

Abstract

The study raises the issues of valuing biodiversity through a national survey to improve the national accounts. Biodiversity cum species protection was explained in a telephone survey. The willingness to pay (WTP) for forest biodiversity is estimated by a Dichotomous Choice Contingent Valuation (DC-CV) method. In the same survey, the households were asked whether they have recreational activities in forests or not. The recreation answer is not independent from the DC biodiversity question and can affect the estimated biodiversity WTP of households. The bivariate Probit technique is used to consider the correlation between the error terms in the two equations. Whereas the bivariate model is found to be better than the univariate one, there is no significant difference in the overall mean WTP estimates according to this model. However, regional mean WTPs highlight significant regional differences.

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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 2007-08.

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Length: 28 pages
Date of creation: Dec 2007
Date of revision:
Handle: RePEc:lef:wpaper:2007-08

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Related research

Keywords: Forest biodiversity; national survey; contingent valuation; dichotomous choice; bivariate Probit;

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Cited by:
  1. Lyssenko, Nikita & Martinez-Espineira, Roberto, 2009. "`Been there done that': Disentangling option value effects from user heterogeneity when valuing natural resources with a use component," MPRA Paper 21976, University Library of Munich, Germany, revised 08 Apr 2010.
  2. 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.

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