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Knowledge about a Species' Conservation Status and Funding for its Preservation: Analysis

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  • Tisdell, Clement A.

Abstract

Using a species’ population to measure its conservation status, this note explores how an increase in knowledge about this status would change the public’s willingness to donate funds for its conservation. This is done on the basis that the relationship between the level of donations and a species’ conservation status satisfies stated general mathematical properties. This level of donation increases, on average, with greater knowledge of a species’ conservation status if it is endangered, but falls if it is secure. Game theory and other theory is used to show how exaggerating the degree of endangerment of a species can be counterproductive for conservation.

Suggested Citation

  • Tisdell, Clement A., 2005. "Knowledge about a Species' Conservation Status and Funding for its Preservation: Analysis," Economics, Ecology and Environment Working Papers 55088, University of Queensland, School of Economics.
  • Handle: RePEc:ags:uqseee:55088
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    References listed on IDEAS

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    1. Bandara, Ranjith & Tisdell, Clement A., 2004. "Changing Abundance of Elephants and Willingness to Pay for their Conservation," Economic Theory, Applications and Issues Working Papers 90538, University of Queensland, School of Economics.
    2. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
    3. Jennifer Tkac, 1998. "The Effects of Information on Willingness-to-Pay Values of Endangered Species," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1214-1220.
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    Cited by:

    1. Tisdell, Clement A., 2008. "BEHAVIOURS OF CONSERVATION ORGANIZATIONS AND THEIR ENVIRONMENTAL IMPLICATIONS. Analysis based on New (and not so new) Institutional Economics," Institutional Change in Agriculture and Natural Resources Discussion Papers 6185, Humboldt University Berlin, Department of Agricultural Economics.

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