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An Economic Analysis of a Storage Policy After a Storm Occurrence in Forestry

Author

Listed:
  • Julien Jacob

    (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Antoine Leblois

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)

  • Marielle Brunette

    (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Storm is among the main threats for European forestry generating huge economic damage. The decrease of the timber price due to the storm occurrence largely contributes to these economic impacts. Timber storage appears as the standard policy to implement in order to limit these negative impacts. Consequently, in this article, we propose a global economic assessment of a storage policy taking into account the impacts on producers, consumers, and the cost of public funds. For that purpose, we develop a tractable theoretical model which assesses welfare losses and gains incurred/earned from the storage by all agents of the society: forester (supply), consumers (downstream agents), and the public agent. The model is then simulated. Our results show that globally, the storage policy is always desirable except for the consumers in the case of storms associated with a low magnitude.

Suggested Citation

  • Julien Jacob & Antoine Leblois & Marielle Brunette, 2025. "An Economic Analysis of a Storage Policy After a Storm Occurrence in Forestry," Post-Print hal-04839756, HAL.
  • Handle: RePEc:hal:journl:hal-04839756
    DOI: 10.1007/s10666-024-10011-z
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-04839756v1
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    References listed on IDEAS

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    1. Caurla, Sylvain & Garcia, Serge & Niedzwiedz, Alexandra, 2015. "Store or export? An economic evaluation of financial compensation to forest sector after windstorm. The case of Hurricane Klaus," Forest Policy and Economics, Elsevier, vol. 61(C), pages 30-38.
    2. Sandrine Brèteau-Amores & Rasoul Yousefpour & Marc Hanewinkel & Mathieu Fortin, 2020. "Composition diversification vs. structure diversification: How to conciliate timber production and carbon sequestration objectives under drought and windstorm risks in forest ecosystems," Working Papers of BETA 2020-31, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Brunette, Marielle & Couture, Stéphane, 2008. "Public compensation for windstorm damage reduces incentives for risk management investments," Forest Policy and Economics, Elsevier, vol. 10(7-8), pages 491-499, October.
    4. Arnaud Reynaud & Stéphane Couture, 2012. "Stability of risk preference measures: results from a field experiment on French farmers," Theory and Decision, Springer, vol. 73(2), pages 203-221, August.
    5. M. Brunette & M. Hanewinkel & R. Yousefpour, 2020. "Risk aversion hinders forestry professionals to adapt to climate change," Climatic Change, Springer, vol. 162(4), pages 2157-2180, October.
    6. Holecy, Jan & Hanewinkel, Marc, 2006. "A forest management risk insurance model and its application to coniferous stands in southwest Germany," Forest Policy and Economics, Elsevier, vol. 8(2), pages 161-174, March.
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    JEL classification:

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

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