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Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences

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  • Riccardo Scarpa
  • Mara Thiene

Abstract

Rock climbers are likely to exhibit preference heterogeneity dictating the way with which such sport is practiced. This has a reflection on the population’s structure of recreational values of rock-climbing destinations, their attributes, and to land management policies. We test this hypothesis on a panel of destination choices by a sample of members of the Italian Alpine Club. Using a latent-class, random utility approach we find evidence in support of the hypothesis that there are at least four classes in the sample, thereby revealing a considerable richness in the structure of preference, which would otherwise be unobservable with more conventional approaches.

Suggested Citation

  • Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
  • Handle: RePEc:uwp:landec:v:81:y:2005:i:3:p426-444
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    1. Riccardo Scarpa & Mara Thiene, 2004. "Destination Choice Models for Rock Climbing in the Northeast Alps: A Latent-Class Approach Based on Intensity of Participation," Working Papers 2004.131, Fondazione Eni Enrico Mattei.
    2. Shaw, W. Douglass & Jakus, Paul M., 1996. "Travel Cost Models Of The Demand For Rock Climbing," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(2), pages 1-10, October.
    3. von Haefen, Roger H., 2003. "Incorporating observed choice into the construction of welfare measures from random utility models," Journal of Environmental Economics and Management, Elsevier, vol. 45(2), pages 145-165, March.
    4. 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.
    5. Kamakura, Wagner A & Mazzon, Jose Afonso, 1991. "Value Segmentation: A Model for the Measurement of Values and Value Systems," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 208-218, September.
    6. Nick Hanley & Gary Koop & Begoña Álvarez‐Farizo & Robert E. Wright & Ceara Nevin, 2001. "Go climb a mountain: an application of recreation demand modelling to rock climbing in Scotland," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(1), pages 36-52, January.
    7. Wuyang Hu, 2004. "Trading off health, environmental and genetic modification attributes in food," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(3), pages 389-408, September.
    8. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    9. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    10. Riccardo Scarpa & Susanne Menzel, 2005. "Protection Motivation Theory and Contingent Valuation: Perceived Realism, Threat and WTP Estimates for Biodiversity Protection," Working Papers 2005.26, Fondazione Eni Enrico Mattei.
    11. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    12. Provencher, Bill & Bishop, R.C.Richard C., 2004. "Does accounting for preference heterogeneity improve the forecasting of a random utility model? A case study," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 793-810, July.
    13. Therese C. Grijalva & Robert P. Berrens & Alok K. Bohara & Paul M. Jakus & W. Douglass Shaw, 2002. "Valuing the Loss of Rock Climbing Access in Wilderness Areas: A National-Level, Random-Utility Model," Land Economics, University of Wisconsin Press, vol. 78(1), pages 103-120.
    14. Kamakura, Wagner A & Wedel, Michel, 2004. "An Empirical Bayes Procedure for Improving Individual-Level Estimates and Predictions from Finite Mixtures of Multinomial Logit Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 121-125, January.
    15. Bill Provencher & Kenneth A. Baerenklau & Richard C. Bishop, 2002. "A Finite Mixture Logit Model of Recreational Angling with Serially Correlated Random Utility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1066-1075.
    16. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    17. Heng Z. Chen & Stephen R. Cosslett, 1998. "Environmental Quality Preference and Benefit Estimation in Multinomial Probit Models: A Simulation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 512-520.
    18. Nick Hanley & W. Douglass Shaw & Robert E. Wright (ed.), 2003. "The New Economics of Outdoor Recreation," Books, Edward Elgar Publishing, number 2712.
    19. W. Douglass Shaw, 1992. "Searching for the Opportunity Cost of an Individual's Time," Land Economics, University of Wisconsin Press, vol. 68(1), pages 107-115.
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    More about this item

    JEL classification:

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

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