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The market for bushmeat: Colobus Satanas on Bioko Island

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  • Morra, Wayne
  • Hearn, Gail
  • Buck, Andrew J.

Abstract

Species conservation is an important issue worldwide. The market for monkeys consumed as food on Bioko Island, Equatorial Guinea, is modeled as a bargaining game. The bargaining set-up leads to the conclusion that black colobus are being over-hunted. Using daily data an empirical density is fit to the price-quantity pairs resulting from exchange between buyers and retailers. The density provides support for the bargaining model. Quantile regressions are also fit to the data. The median quantile indicates buyers have greater bargaining power than retailers. Knowing who has bargaining power aids in the design of policy to reduce bushmeat hunting. Strategic elasticities are constructed from the quantiles. Given the harvest rate of monkeys and the elasticity estimates, the monkeys of Bioko Island are under considerable pressure.

Suggested Citation

  • Morra, Wayne & Hearn, Gail & Buck, Andrew J., 2009. "The market for bushmeat: Colobus Satanas on Bioko Island," Ecological Economics, Elsevier, vol. 68(10), pages 2619-2626, August.
  • Handle: RePEc:eee:ecolec:v:68:y:2009:i:10:p:2619-2626
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    1. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    2. Kathryn Graddy, 2006. "Markets: The Fulton Fish Market," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 207-220, Spring.
    3. Roger W. Koenker & Vasco D'Orey, 1987. "Computing Regression Quantiles," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(3), pages 383-393, November.
    4. Hardle, Wolfgang & Kirman, Alan, 1995. "Nonclassical demand : A model-free examination of price-quantity relations in the Marseille fish market," Journal of Econometrics, Elsevier, vol. 67(1), pages 227-257, May.
    5. Chatterjee, Kalyan & Lee, Ching Chyi, 1998. "Bargaining and Search with Incomplete Information about Outside Options," Games and Economic Behavior, Elsevier, vol. 22(2), pages 203-237, February.
    6. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    7. Lee, Sokbae, 2007. "Endogeneity in quantile regression models: A control function approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1131-1158, December.
    8. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2007. "Inference approaches for instrumental variable quantile regression," Economics Letters, Elsevier, vol. 95(2), pages 272-277, May.
    9. Ausubel, Lawrence M. & Cramton, Peter & Deneckere, Raymond J., 2002. "Bargaining with incomplete information," Handbook of Game Theory with Economic Applications, in: R.J. Aumann & S. Hart (ed.), Handbook of Game Theory with Economic Applications, edition 1, volume 3, chapter 50, pages 1897-1945, Elsevier.
    10. Gustavsen, Geir Waehler & Rickertsen, Kyrre, 2004. "For Whom Reduced Prices Count: A Censored Quantile Regression Analysis Of Vegetable Demand," 2004 Annual meeting, August 1-4, Denver, CO 20172, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Sokbae (Simon) Lee, 2004. "Endogeneity in quantile regression models: a control function approach," CeMMAP working papers 08/04, Institute for Fiscal Studies.
    12. Honore, Bo E & Hu, Luojia, 2004. "On the Performance of Some Robust Instrumental Variables Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 30-39, January.
    13. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    14. Kennan, John & Wilson, Robert, 1993. "Bargaining with Private Information," Journal of Economic Literature, American Economic Association, vol. 31(1), pages 45-104, March.
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    Cited by:

    1. Andrew J. Buck & Tavor Tchai & Uriel Spiegel & Wayne A. Morra, 2017. "Refrigeration and the Reduction of the Takeoff Rate of Bushmeat," SAGE Open, , vol. 7(1), pages 21582440166, January.
    2. Gregory N. Price, 2019. "Does Productivity in the Formal Food Sector Drive Human Ebola Virus Infections in Sub‐Saharan Africa?," African Development Review, African Development Bank, vol. 31(2), pages 167-178, June.

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