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Valuing New Forest Sites over Time: the Case of Afforestation and Recreation in Denmark

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  • Marianne Zandersen
  • Mette Termansen
  • Frank S. Jensen
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    Abstract

    We estimate changes in the total recreative value over a 20 year time period of a large newly established forest, using mixed specification of a random utility models and geographic information system. The models are estimated using data from two identical surveys in 1977 and 1997. We conduct three different spatial value transfers and test these on the new forest. Results suggest that the new forest increased the recreative value nearly 70 times over the 20 years, primarily due the maturing of the forest and changed patterns of behaviour. The value transfer to the new forest range between an underestimate of 57% and an overestimate of 349%, depending on the sampling of the choice set used as study sites in the transfer.

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    File URL: http://www.fnu.zmaw.de/fileadmin/fnu-files/publication/working-papers/Workingpaper80.pdf
    File Function: First version, 2005
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    Bibliographic Info

    Paper provided by Research unit Sustainability and Global Change, Hamburg University in its series Working Papers with number FNU-80.

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    Length: 35 pages
    Date of creation: Aug 2005
    Date of revision: Aug 2005
    Publication status: Forthcoming, Climatic Change
    Handle: RePEc:sgc:wpaper:80

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    Keywords: recreation; random utility model; GIS;

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    1. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    2. Mark Morrison & Jeff Bennett & Russell Blamey & Jordan Louviere, 2002. "Choice Modeling and Tests of Benefit Transfer," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 161-170.
    3. Roy Brouwer & Frank Spaninks, 1999. "The Validity of Environmental Benefits Transfer: Further Empirical Testing," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 14(1), pages 95-117, July.
    4. Timothy C. Haab & Kenneth E. McConnell, 1996. "Count Data Models and the Problem of Zeros in Recreation Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 89-102.
    5. Kirchhoff, Stefanie & Colby, Bonnie G. & LaFrance, Jeffrey T., 1997. "Evaluating the Performance of Benefit Transfer: An Empirical Inquiry," Journal of Environmental Economics and Management, Elsevier, vol. 33(1), pages 75-93, May.
    6. Dadi Kristofersson & Ståle Navrud, 2005. "Validity Tests of Benefit Transfer – Are We Performing the Wrong Tests?," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 30(3), pages 279-286, 03.
    7. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, Spring.
    8. Downing, Mark & Ozuna, Teofilo Jr., 1996. "Testing the Reliability of the Benefit Function Transfer Approach," Journal of Environmental Economics and Management, Elsevier, vol. 30(3), pages 316-322, May.
    9. Kling, Catherine L. & Bockstael, Nancy & Hanemann, W. Michael, 1987. "Estimating the Value of Water Quality Improvements in a Recreational Demand Framework," Staff General Research Papers 1594, Iowa State University, Department of Economics.
    10. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    11. Brouwer, Roy, 2000. "Environmental value transfer: state of the art and future prospects," Ecological Economics, Elsevier, vol. 32(1), pages 137-152, January.
    12. 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.
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