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Insurance and forest rotation decisions under storm risk

Author

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  • Patrice Loisel

    (MISTEA - Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier)

  • Marielle Brunette

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

  • Stéphane Couture

    (MIAT INRAE - Unité de Mathématiques et Informatique Appliquées de Toulouse - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract
Forests are often threatened by storms; and such a threat is likely to rise due to climate change. Using private forest insurance as a vehicle to fund resilience and adaptation emerge as a policy recommendation. Hence the forest owners would have the possibility to consider insurance when defining their forest management practices. In this context, we analyze the impact of the forest owner’s insurance decision on forest management under storm risk. We extend the Faustmann optimal rotation model under risk, first, considering the forest owner’s risk preferences, and second, integrating the decision of insurance. With this analytical model, we show that as the insurance coverage increases, the rotation length increases independently of the forest owner’s risk aversion. In addition, we identify some cases where it may be optimal for the forest owner to not adopt insurance contract. Finally, we prove that a public transfer, reducing the insurance premium, may encourage the forest owner to insure.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Patrice Loisel & Marielle Brunette & Stéphane Couture, 2019. "Insurance and forest rotation decisions under storm risk," Post-Print hal-03794748, HAL.
  • Handle: RePEc:hal:journl:hal-03794748
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    Cited by:

    1. Bastit, Félix & Brunette, Marielle & Montagné-Huck, Claire, 2023. "Pests, wind and fire: A multi-hazard risk review for natural disturbances in forests," Ecological Economics, Elsevier, vol. 205(C).
    2. Salimova, Guzel & Ableeva, Alisa & Lubova, Tatiana & Sharafutdinov, Aidar & Araslanbaev, Irek, 2022. "Multidimensional modeling of the economy of forest management and reforestation," Ecological Modelling, Elsevier, vol. 472(C).

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    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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