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Protection Motivation Theory and Contingent Valuation: Perceived Realism, Threat and WTP Estimates for Biodiversity Protection

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Author Info

  • Riccardo Scarpa

    (University of York)

  • Susanne Menzel

    (University of Goettingen and University of York)

Abstract

We report on a discrete-choice CV study conducted in Germany to value the WTP for biodiversity protection in less developed countries. To systematically investigate survey realism and subjective threat assessment from the loss of biodiversity described in the scenario the study includes questions to uncover the constructs of Protection Motivation Theory, which is introduced to the CV literature. The patterns of responses to such questions are analysed using an Expectation-Maximization algorithm to derive class membership probabilities. These are found to match the predictions of Protection Motivation Theory and systematically improve the logistic analysis of the WTP responses.

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Bibliographic Info

Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2005.26.

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Date of creation: Feb 2005
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Handle: RePEc:fem:femwpa:2005.26

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Keywords: Biodiversity valuation; Protection motivation theory; Latent class analysis; Expectation-Maximization algorithm; Contingent valuation;

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References

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  1. Vivien Foster & Susana Mourato, 2003. "Elicitation Format and Sensitivity to Scope," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 24(2), pages 141-160, February.
  2. Guy D. Garrod & Riccardo Scarpa & Kenneth G. Willis, 2002. "Estimating the Benefits of Traffic Calming on Through Routes: A Choice Experiment Approach," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 36(2), pages 211-231, May.
  3. Donald Green & Karen Jacowitz & Daniel Kahneman & Daniel McFadden, 1995. "Referendum Contingent Valuation, Anchoring, and Willingness to Pay for Public Goods," Working Papers _010, University of California at Berkeley, Econometrics Laboratory Software Archive.
  4. Buzby, Jean C. & Ready, Richard C. & Skees, Jerry R., 1995. "Contingent Valuation In Food Policy Analysis: A Case Study Of A Pesticide-Residue Risk Reduction," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 27(02), December.
  5. Berrens, Robert P. & Bohara, Alok K. & Jenkins-Smith, Hank C. & Silva, Carol L. & Weimer, David L., 2004. "Information and effort in contingent valuation surveys: application to global climate change using national internet samples," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 331-363, March.
  6. Carson, Richard T., 1998. "Valuation of tropical rainforests: philosophical and practical issues in the use of contingent valuation," Ecological Economics, Elsevier, vol. 24(1), pages 15-29, January.
  7. Ronald G. Cummings & Laura Osborne Taylor, 1998. "Does Realism Matter in Contingent Valuation Surveys?," Land Economics, University of Wisconsin Press, vol. 74(2), pages 203-215.
  8. Blamey, Russell, 1998. "Contingent valuation and the activation of environmental norms," Ecological Economics, Elsevier, vol. 24(1), pages 47-72, January.
  9. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
  10. 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.
  11. Ajzen, Icek & Brown, Thomas C. & Rosenthal, Lori H., 1996. "Information Bias in Contingent Valuation: Effects of Personal Relevance, Quality of Information, and Motivational Orientation," Journal of Environmental Economics and Management, Elsevier, vol. 30(1), pages 43-57, January.
  12. Dubourg, W R & Jones-Lee, M W & Loomes, Graham, 1997. "Imprecise Preferences and Survey Design in Contingent Valuation," Economica, London School of Economics and Political Science, vol. 64(256), pages 681-702, November.
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Cited by:
  1. Morey, Edward & Thiene, Mara & De Salvo, Maria & Signorello, Giovanni, 2008. "Using attitudinal data to identify latent classes that vary in their preference for landscape preservation," Ecological Economics, Elsevier, vol. 68(1-2), pages 536-546, December.
  2. Choi, Andy S. & Fielding, Kelly S., 2013. "Environmental attitudes as WTP predictors: A case study involving endangered species," Ecological Economics, Elsevier, vol. 89(C), pages 24-32.
  3. Andy Choi & Franco Papandrea & Jeff Bennett, 2007. "Assessing cultural values: developing an attitudinal scale," Journal of Cultural Economics, Springer, vol. 31(4), pages 311-335, December.
  4. De Valck, Jeremy & Vlaeminck, Pieter & Liekens, Inge & Aertsens, Joris & Chen, Wendy & Vranken, Liesbet, 2012. "The sources of preference heterogeneity for nature restoration scenarios," Working Papers 146522, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.

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