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

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Listed:
  • Marianne Zandersen
  • Mette Termansen
  • Frank Søndergaard Jensen

Abstract

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%.

Suggested Citation

  • Marianne Zandersen & Mette Termansen & Frank Søndergaard Jensen, 2007. "Testing Benefits Transfer of Forest Recreation Values over a Twenty-Year Time Horizon," Land Economics, University of Wisconsin Press, vol. 83(3), pages 412-440.
  • Handle: RePEc:uwp:landec:v:83:y:2007:i:3:p:412-440
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    References listed on IDEAS

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    1. Yoshiaki Kaoru & V. Kerry Smith & Jin Long Liu, 1995. "Using Random Utility Models to Estimate the Recreational Value of Estuarine Resources," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 141-151.
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    5. 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).
    6. 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.
    7. 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.
    8. 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.
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    Citations

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    Cited by:

    1. Mattias Boman & Leif Mattsson & Göran Ericsson & Bengt Kriström, 2011. "Moose Hunting Values in Sweden Now and Two Decades Ago: The Swedish Hunters Revisited," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(4), pages 515-530, December.
    2. Balcombe, Kelvin & Chalak, Ali & Fraser, Iain, 2009. "Model selection for the mixed logit with Bayesian estimation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 226-237, March.
    3. Nielsen, Anne Sofie Elberg & Lundhede, Thomas Hedemark & Jacobsen, Jette Bredahl, 2016. "Local consequences of national policies - A spatial analysis of preferences for forest access reduction," Forest Policy and Economics, Elsevier, vol. 73(C), pages 68-77.
    4. Bartczak, Anna & Lindhjem, Henrik & Navrud, Ståle & Zandersen, Marianne & Zylicz, Tomasz, 2008. "Valuing forest recreation on the national level in a transition economy: The case of Poland," Forest Policy and Economics, Elsevier, vol. 10(7-8), pages 467-472, October.
    5. Broch, Stine Wamberg & Strange, Niels & Jacobsen, Jette B. & Wilson, Kerrie A., 2013. "Farmers' willingness to provide ecosystem services and effects of their spatial distribution," Ecological Economics, Elsevier, vol. 92(C), pages 78-86.
    6. I. Bateman & R. Brouwer & S. Ferrini & M. Schaafsma & D. Barton & A. Dubgaard & B. Hasler & S. Hime & I. Liekens & S. Navrud & L. De Nocker & R. Ščeponavičiūtė & D. Semėnienė, 2011. "Making Benefit Transfers Work: Deriving and Testing Principles for Value Transfers for Similar and Dissimilar Sites Using a Case Study of the Non-Market Benefits of Water Quality Improvements Across E," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(3), pages 365-387, November.
    7. Elsasser, Peter & Meyerhoff, Jürgen & Weller, Priska, 2016. "An updated bibliography and database on forest ecosystem service valuation studies in Austria, Germany and Switzerland," Thünen Working Papers 65, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries.
    8. Gebeyehu Fetene & Søren Olsen & Ole Bonnichsen, 2014. "Disentangling the Pure Time Effect From Site and Preference Heterogeneity Effects in Benefit Transfer: An Empirical Investigation of Transferability," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 583-611, December.
    9. Jacobsen, Jette Bredahl & Thorsen, Bo Jellesmark, 2010. "Preferences for site and environmental functions when selecting forthcoming national parks," Ecological Economics, Elsevier, vol. 69(7), pages 1532-1544, May.
    10. Termansen, Mette & McClean, Colin J. & Jensen, Frank Søndergaard, 2013. "Modelling and mapping spatial heterogeneity in forest recreation services," Ecological Economics, Elsevier, vol. 92(C), pages 48-57.

    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
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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