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Accounting for Negative, Zero and Positive Willingness to Pay for Landscape Change in a National Park

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  • Colombo, Sergio
  • Hanley, Nicholas
  • Kristrom, Bengt
  • Watson, Fiona

Abstract

In contingent valuation, despite the fact that many externalities manifest themselves as costs to some and benefits to others, most studies restrict willingness to pay to being non-negative. In this paper, we investigate the impact of allowing for negative, zero and positive preferences for prospective changes in woodland cover in two UK national parks, the Lake District and the Trossachs. An extended spike model is used to accomplish this. The policy implications of not allowing for negative values in terms of aggregate benefits are also investigated, by comparing the extended spike model with a simple spike making use of only zero and positive bids, and a model which considers positive bids only. We find that ignoring negative values over-states the aggregate benefits of a woodland planting project by up to 44%.

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Bibliographic Info

Paper provided by University of Stirling, Division of Economics in its series Stirling Economics Discussion Papers with number 2008-10.

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Date of creation: Jun 2008
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Handle: RePEc:stl:stledp:2008-10

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Postal: Division of Economics, University of Stirling, Stirling, Scotland FK9 4LA
Phone: +44 (0)1786 467473
Fax: +44 (0)1786 467469
Web page: http://www.econ.stir.ac.uk/
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Keywords: spike models; negative WTP; national parks; contingent valuation;

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  1. List, John A. & Shogren, Jason F., 2002. "Calibration of Willingness-to-Accept," Journal of Environmental Economics and Management, Elsevier, vol. 43(2), pages 219-233, March.
  2. Kahneman, Daniel & Knetsch, Jack L., 1992. "Valuing public goods: The purchase of moral satisfaction," Journal of Environmental Economics and Management, Elsevier, vol. 22(1), pages 57-70, January.
  3. Richard C. Ready & Ståle Navrud & RW. Richard Dubourg, 2001. "How Do Respondents with Uncertain Willingness to Pay Answer Contingent Valuation Questions?," Land Economics, University of Wisconsin Press, vol. 77(3), pages 315-326.
  4. Werner, Megan, 1999. "Allowing for Zeros in Dichotomous-Choice Contingent-Valuation Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 479-86, October.
  5. Mark Yuying An & Roberto Ayala, 1996. "A Mixture Model of Willingness to Pay Distributions," Econometrics 9611002, EconWPA.
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Cited by:
  1. Ojea, Elena & Loureiro, Maria L., 2011. "Identifying the scope effect on a meta-analysis of biodiversity valuation studies," Resource and Energy Economics, Elsevier, vol. 33(3), pages 706-724, September.
  2. repec:hhs:slucer:2014_007 is not listed on IDEAS
  3. Liao, Shu-Yi & Tseng, Wei-Chun & Chen, Chi-Chung, 2010. "Eliciting public preference for nuclear energy against the backdrop of global warming," Energy Policy, Elsevier, vol. 38(11), pages 7054-7069, November.
  4. Kiran Krishnamurthy, Chandra & Kriström, Bengt, 2013. "Determinants of the price-premium for Green Energy: Evidence from an OECD cross-section," CERE Working Papers 2013:7, CERE - the Center for Environmental and Resource Economics, revised 30 Jun 2014.
  5. Johannes Reichl & Sylvia Frühwirth-Schnatter, 2012. "A censored random coefficients model for the detection of zero willingness to pay," Quantitative Marketing and Economics, Springer, vol. 10(2), pages 259-281, June.
  6. Dikgang, Johane & Muchapondwa, Edwin, 2012. "The valuation of biodiversity conservation by the South African Khomani San “bushmen” community," Ecological Economics, Elsevier, vol. 84(C), pages 7-14.
  7. 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.

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