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The influence of ethnicity and culture on the valuation of environmental improvements: Results from a CVM study in Southwest China

Author

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  • Ahlheim, Michael
  • Börger, Tobias
  • Frör, Oliver

Abstract

The provision of environmental goods by government creates social benefits which might vary between citizen groups with different cultural and ethnic backgrounds. These differences as well as the overall extent of benefits should be analysed before the implementation of public projects in order to consider not only the efficiency aspects of such a project but also its distributional effects. In Southwest China we are facing a rapid deforestation for the development of rubber cultivation and at the same time find an ethnically highly diverse population. This Contingent Valuation study tries to assess the short-term and long-term benefits accruing from a public reforestation programme in Xishuangbanna and their distribution among different ethnic groups living in that region. The results show that different ethnic groups value short-term and future benefits of reforestation differently and that these differences can be explained by the different cultural and historical backgrounds of these ethnic groups.

Suggested Citation

  • Ahlheim, Michael & Börger, Tobias & Frör, Oliver, 2013. "The influence of ethnicity and culture on the valuation of environmental improvements: Results from a CVM study in Southwest China," FZID Discussion Papers 81-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
  • Handle: RePEc:zbw:fziddp:812013
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    References listed on IDEAS

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    1. Bennett, Michael T., 2008. "China's sloping land conversion program: Institutional innovation or business as usual?," Ecological Economics, Elsevier, vol. 65(4), pages 699-711, May.
    2. Ahlheim, Michael & Börger, Tobias & Frör, Oliver, 2012. "The ecological price of getting rich in a green desert: A contingent valuation study in rural Southwest China," FZID Discussion Papers 55-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    3. Ahlheim, Michael & Börger, Tobias & Frör, Oliver, 2011. "Respondent incentives in contingent valuation: The role of reciprocity," FZID Discussion Papers 39-2011, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    4. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    5. Cameron, Trudy Ann & Huppert, Daniel D., 1989. "OLS versus ML estimation of non-market resource values with payment card interval data," Journal of Environmental Economics and Management, Elsevier, vol. 17(3), pages 230-246, November.
    6. Richard T. Carson, 2012. "Contingent Valuation: A Practical Alternative When Prices Aren't Available," Journal of Economic Perspectives, American Economic Association, vol. 26(4), pages 27-42, Fall.
    7. Edward C. Norton & Hua Wang & Chunrong Ai, 2004. "Computing interaction effects and standard errors in logit and probit models," Stata Journal, StataCorp LP, vol. 4(2), pages 154-167, June.
    8. John Crooker & Joseph Herriges, 2004. "Parametric and Semi-Nonparametric Estimation of Willingness-to-Pay in the Dichotomous Choice Contingent Valuation Framework," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(4), pages 451-480, April.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Rubber cultivation; contingent valuation method; environmental costs; ethnicities; equity; cultural ecosystem services; China;

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution

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