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Risk management activities of a non-industrial private forest owner with a bivariate utility function

Author

Listed:
  • Marielle Brunette

    (Laboratoire d'Economie Forestière, INRA - AgroParisTech)

  • Stéphane Couture

    (INRA, UR 875 Applied Mathematics and Computer Science laboratory)

Abstract

In this paper, we propose to analyse the choice of risk management activity made by a non-industrial private forest owner who derives utility from consumption and from the sentimental value of the forest that bears a risk of disaster. We consider a bivariate utility function depending on consumption and sentimental value of forest. In this context, we analyse insurance and/or self-insurance decisions. We show that, under fair premium, full insurance is optimal only if the cross derivative of the utility function equals zero. Under-insurance and over-insurance may also be optimal depending on the sign of this cross derivative. We also show that, under a positive loading factor, optimal partial insurance is validated only if the cross derivative is positive; otherwise full insurance may be optimal even with a loading insurance. We also observe that risk aversion increases the level of insurance demand and selfinsurance activity, extending this standard result obtained with an univariate utility function to a bivariate utility function. Moreover, when the forest owner can simultaneously insure and invest in self-insurance activity, full insurance is never optimal if the cross derivative is positive. Finally, we prove that insurance and selfinsurance may be substitutes, and if preferences are separable and exhibit decreasing absolute risk aversion, then insurance and self-insurance are always considered as substitutes.

Suggested Citation

  • Marielle Brunette & Stéphane Couture, 2014. "Risk management activities of a non-industrial private forest owner with a bivariate utility function," Working Papers - Cahiers du LEF 2014-01, Laboratoire d'Economie Forestiere, AgroParisTech-INRA, revised Jan 2014.
  • Handle: RePEc:lef:wpaper:2014-01
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    File URL: http://www6.nancy.inra.fr/lef/Cahiers-du-LEF/2014/2014-01
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    Cited by:

    1. is not listed on IDEAS
    2. Patrice Loisel & Marielle Brunette & Stéphane Couture, 2020. "Insurance and Forest Rotation Decisions Under Storm Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 347-367, July.
    3. Sandrine Brèteau-Amores & Marielle Brunette & Christophe François & Antoine Leblois & Nicolas Martin-StPaul, 2021. "Index insurance for coping with drought-induced risk of production losses in French forests," Working Papers hal-03401881, HAL.

    More about this item

    Keywords

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    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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