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Diversity Functions and the Value of Biodiversity

Author

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  • Hans-Peter Weikard

Abstract

Biodiversity loss has been recognized as one of the most important global environmental problems, but the choice of conservation policies is hampered by the lack of an operational concept of biodiversity. Weitzman (1992, 1998) develops a framework for the measurement of diversity and the identification of cost-effective policies for the preservation of biodiversity. Weitzman’s framework has been criticized as being unsuitable for the global problem of biodiversity loss. This paper responds to this critique. It is shown that Weitzman’s framework of diversity measurement can be made practical and applicable by shifting the level analysis from species to ecosystems.

Suggested Citation

  • Hans-Peter Weikard, 2002. "Diversity Functions and the Value of Biodiversity," Land Economics, University of Wisconsin Press, vol. 78(1), pages 20-27.
  • Handle: RePEc:uwp:landec:v:78:y:2002:i:1:p:20-27
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    Citations

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    Cited by:

    1. Stéphanie Aulong & K. Erdlenbruch & C. Figuières, 2005. "Un tour d'horizon des critères d'évaluation de la diversité biologique," Post-Print hal-00452144, HAL.
    2. Gregory M. Parkhurst & Jason F. Shogren & Thomas Crocker, 2016. "Tradable Set-Aside Requirements (TSARs): Conserving Spatially Dependent Environmental Amenities," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(4), pages 719-744, April.
    3. Juutinen, Artti, 2008. "Old-growth boreal forests: Worth protecting for biodiversity?," Journal of Forest Economics, Elsevier, vol. 14(4), pages 242-267, November.
    4. Jean-Michel Salles, 2011. "Valuing biodiversity and ecosystem services: why linking economic values with Nature?," Working Papers 11-24, LAMETA, Universtiy of Montpellier, revised Dec 2011.
    5. Maarten Punt & Hans-Peter Weikard & Ekko Ierland & Jan Stel, 2012. "Large Scale Marine Protected Areas for Biodiversity Conservation Along a Linear Gradient: Cooperation, Strategic Behavior or Conservation Autarky?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(2), pages 203-228, October.
    6. Ambrey, Christopher L. & Fleming, Christopher M., 2011. "Valuing Ecosystem Diversity in South East Queensland: A Life Satisfaction Approach," 2011 Conference, August 25-26, 2011, Nelson, New Zealand 115347, New Zealand Agricultural and Resource Economics Society.
    7. Catherine M. Chambers & Paul E. Chambers & John R. Crooker & John C. Whitehead, 2008. "Stochastic Dominance, Entropy and Biodiversity Management," Working Papers 08-08, Department of Economics, Appalachian State University.
    8. Eppink, Florian V. & van den Bergh, Jeroen C.J.M., 2007. "Ecological theories and indicators in economic models of biodiversity loss and conservation: A critical review," Ecological Economics, Elsevier, vol. 61(2-3), pages 284-293, March.
    9. Martinet, Vincent & Blanchard, Fabian, 2009. "Fishery externalities and biodiversity: Trade-offs between the viability of shrimp trawling and the conservation of Frigatebirds in French Guiana," Ecological Economics, Elsevier, vol. 68(12), pages 2960-2968, October.
    10. repec:spr:ieaple:v:17:y:2017:i:5:d:10.1007_s10784-017-9368-7 is not listed on IDEAS
    11. Holm-Muller, Karin, 2003. "Bewertung nicht-marktfähiger Leistungen der Landwirtschaft – eine Herausforderung für die Forschung," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 52(8).
    12. Nehring, Klaus & Puppe, Clemens, 2004. "Modelling phylogenetic diversity," Resource and Energy Economics, Elsevier, vol. 26(2), pages 205-235, June.

    More about this item

    JEL classification:

    • Q38 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Government Policy (includes OPEC Policy)
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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