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Functional Forms, Sampling Considerations, and Estimation of Demand for Protected Natural Areas: The Cíes Islands Case Study in Galicia (Spain)

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Author Info

  • Manuel González Gómez

    (Departamento de Economía Aplicada. Universidade de Vigo.)

  • Philippe Polomé

    (Departamento de Economía Aplicada. Universidade de Vigo.)

  • Albino Prada Blanco

    (Departamento de Economía Aplicada. Universidade de Vigo.)

Abstract

In this paper, we present estimates of several models of demand for a natural area using data from surveys on visitors and non-visitors. The estimates take into account the problems of: demand specification, measurement of the cost and of the demand, choosing sampling scheme, and handling the sample. Considering these alternatives allows us to select a model of demand under improved conditions and frees us from initial restrictive hypothesis. The results in terms of prediction of demand and consumer surplus estimates are quite dissimilar, stressing the importance of comparing various models that encompass the range of possible options.

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Bibliographic Info

Paper provided by IDEGA - Instituto Universitario de Estudios e Desenvolvemento de Galicia in its series Documentos de trabajo - Analise Economica with number 0016.

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Length: 29 pages
Date of creation: 2001
Date of revision:
Handle: RePEc:edg:anecon:0016

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Keywords: Travel Cost Method; Endogeneous Stratification; Truncation; Demand specification; Hurdle models;

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  1. Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
  2. 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.
  3. Bell, Frederick W. & Leeworthy, Vernon R., 1990. "Recreational demand by tourists for saltwater beach days," Journal of Environmental Economics and Management, Elsevier, vol. 18(3), pages 189-205, May.
  4. Alan Randall, 1994. "Difficulty with the Travel Cost Method," Land Economics, University of Wisconsin Press, vol. 70(1), pages 88-96.
  5. 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.
  6. 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.
  7. Santos Silva, J. M. C., 1997. "Unobservables in count data models for on-site samples," Economics Letters, Elsevier, vol. 54(3), pages 217-220, July.
  8. Jeffrey Englin & David Lambert, 1995. "Measuring angling quality in count data models of recreational fishing," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 6(4), pages 389-399, December.
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