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Some Simulation Results for a Green Insurance Mechanism

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  • Baerenklau, Kenneth A.
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    Abstract

    This analysis extends previous work on green insurance by proposing a mechanism that offers a stronger adoption incentive and is applicable to heterogeneous populations and non-binary adoption decisions. Endogenous learning about the new technology is incorporated, and empirically calibrated simulation results are presented for the case of reduced-phosphorus dairy diets. Results show that the mechanism has a significant impact on behavior and may incur no net cost for the regulator when an insurance premium is charged. Conditions under which a green payment mechanism may be preferable to green insurance also are discussed.

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    File URL: http://purl.umn.edu/30787
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    Bibliographic Info

    Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

    Volume (Year): 30 (2005)
    Issue (Month): 01 (April)
    Pages:

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    Handle: RePEc:ags:jlaare:30787

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    Web page: http://waeaonline.org/
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    Related research

    Keywords: conservation technology adoption; dairy farming; endogenous learning; green insurance; phosphorus; risk preferences; voluntary programs; Environmental Economics and Policy;

    References

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    1. Murat Isik & Madhu Khanna, 2003. "Stochastic Technology, Risk Preferences, and Adoption of Site-Specific Technologies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 305-317.
    2. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
    3. Subal C. Kumbhakar, 2002. "Specification and Estimation of Production Risk, Risk Preferences and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 8-22.
    4. Golan, Amos & Judge, George & Karp, Larry, 1996. "A maximum entropy approach to estimation and inference in dynamic models or Counting fish in the sea using maximum entropy," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 559-582, April.
    5. Olivier Mahul, 1999. "Optimum Area Yield Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 75-82.
    6. Kenneth A. Baerenklau, 2005. "Toward an Understanding of Technology Adoption: Risk, Learning, and Neighborhood Effects," Land Economics, University of Wisconsin Press, vol. 81(1).
    7. Jerry R. Skees & J. Roy Black & Barry J. Barnett, 1997. "Designing and Rating an Area Yield Crop Insurance Contract," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 430-438.
    8. Kaplan, Jonathan D. & Howitt, Richard E. & Farzin, Y. Hossein, 2003. "An information-theoretical analysis of budget-constrained nonpoint source pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 46(1), pages 106-130, July.
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