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Testing Benefits Transfer of Forest Recreation Values over a Twenty-Year Time Horizon

  • Marianne Zandersen
  • Mette Termansen
  • Frank Søndergaard Jensen
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    We conduct a functional benefit transfer over 20 years of total willingness to pay based on carborne forest recreation in 52 forests, using a mixed logit specification of a random utility model and geographic information systems to allow heterogeneous preferences across the population and for heterogeneity over space. Results show that preferences for some forest attributes, such as species diversity and age, as well as transport mode have changed significantly over the period. Updating the transfer model with present total demand for recreation improves the error margins by an average of 282%. Average errors of the best transfer model remain 25%.

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    File URL: http://le.uwpress.org/cgi/reprint/83/3/412
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    Article provided by University of Wisconsin Press in its journal Land Economics.

    Volume (Year): 83 (2007)
    Issue (Month): 3 ()
    Pages: 412-440

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    Handle: RePEc:uwp:landec:v:83:y:2007:i:3:p:412-440
    Contact details of provider: Web page: http://le.uwpress.org/

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    1. Peter Feather & Daniel Hellerstein, 1997. "Calibrating Benefit Function Transfer to Assess the Conservation Reserve Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 151-162.
    2. Feather Peter & Hellerstein Daniel & Tomasi Theodore, 1995. "A Discrete-Count Model of Recreational Demand," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 214-227, September.
    3. M. K. Haener & P. C. Boxall & W. L. Adamowicz & D. H. Kuhnke, 2004. "Aggregation Bias in Recreation Site Choice Models: Resolving the Resolution Problem," Land Economics, University of Wisconsin Press, vol. 80(4).
    4. Parsons George R. & Kealy Mary Jo, 1995. "A Demand Theory for Number of Trips in a Random Utility Model of Recreation," Journal of Environmental Economics and Management, Elsevier, vol. 29(3), pages 357-367, November.
    5. Sébastien Dessus & David O’Connor, 1999. "Climate Policy Without Tears: CGE-Based Ancillary Benefits Estimates for Chile," OECD Development Centre Working Papers 156, OECD Publishing.
    6. Hausman, Jerry A. & Leonard, Gregory K. & McFadden, Daniel, 1995. "A utility-consistent, combined discrete choice and count data model Assessing recreational use losses due to natural resource damage," Journal of Public Economics, Elsevier, vol. 56(1), pages 1-30, January.
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