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Ambiguity, value of information and forest rotation decision under storm risk

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  • Patrice Loisel
  • Marielle Brunette
  • Stéphane Couture

Abstract

Storm is a major risk in forestry. However, due to the more or less pessimistic scenarios of future climate change, storm frequency is now ambiguous and only partially known (i.e., scenario ambiguity). Furthermore, within each scenario, the quantification of storm frequency is also ambiguous due to the differences in risk quantification by experts, creating a second level of ambiguity (i.e., frequency ambiguity). In such an ambiguous context, knowledge of the future climate through accurate information about this risk is fundamental and can be of significant value. In this paper, we question how ambiguity and ambiguity aversion affect forest management, in particular, optimal cutting age. Using a classical Faustmann framework of forest rotation decisions, we compare three different situations: risk, scenario ambiguity and frequency ambiguity. We show that risk and risk aversion significantly reduce the optimal cutting age. We also show that both scenario and frequency ambiguities reinforce the effect of risk. Inversely, ambiguity aversion has no effect. The value of information that resolves scenario ambiguity is high, whereas it is null for frequency ambiguity.

Suggested Citation

  • Patrice Loisel & Marielle Brunette & Stéphane Couture, 2022. "Ambiguity, value of information and forest rotation decision under storm risk," Working Papers of BETA 2022-26, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Handle: RePEc:ulp:sbbeta:2022-26
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    1. Morag F. Macpherson & Adam Kleczkowski & John R. Healey & Nick Hanley, 2018. "The Effects of Disease on Optimal Forest Rotation: A Generalisable Analytical Framework," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(3), pages 565-588, July.
    2. Arthur Snow, 2010. "Ambiguity and the value of information," Journal of Risk and Uncertainty, Springer, vol. 40(2), pages 133-145, April.
    3. Loisel, Patrice, 2014. "Impact of storm risk on Faustmann rotation," Forest Policy and Economics, Elsevier, vol. 38(C), pages 191-198.
    4. Eric Nazindigouba KERE & Jérôme FONCEL & Marielle BRUNETTE, 2014. "Attitude towards Risk and Production Decision: An Empirical analysis on French private forest owners," Working Papers 201410, CERDI.
    5. Rupert Seidl & Mart-Jan Schelhaas & Werner Rammer & Pieter Johannes Verkerk, 2014. "Increasing forest disturbances in Europe and their impact on carbon storage," Nature Climate Change, Nature, vol. 4(9), pages 806-810, September.
    6. Camerer, Colin & Weber, Martin, 1992. "Recent Developments in Modeling Preferences: Uncertainty and Ambiguity," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 325-370, October.
    7. Philippe Bontems & Alban Thomas, 2000. "Information Value and Risk Premium in Agricultural Production: The Case of Split Nitrogen Application for Corn," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(1), pages 59-70.
    8. Michael Hoy & Richard Peter & Andreas Richter, 2014. "Take-up for genetic tests and ambiguity," Journal of Risk and Uncertainty, Springer, vol. 48(2), pages 111-133, April.
    9. Diego C. Nocetti, 2018. "Ambiguity and the value of information revisited," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 43(1), pages 25-38, May.
    10. Couture, Stéphane & Cros, Marie-Josée & Sabbadin, Régis, 2016. "Risk aversion and optimal management of an uneven-aged forest under risk of windthrow: A Markov decision process approach," Journal of Forest Economics, Elsevier, vol. 25(C), pages 94-114.
    11. Reed, William J., 1984. "The effects of the risk of fire on the optimal rotation of a forest," Journal of Environmental Economics and Management, Elsevier, vol. 11(2), pages 180-190, June.
    12. 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.
    13. Marielle Brunette & Stéphane Couture & Jacques Laye, 2015. "Optimising forest management under storm risk with a Markov decision process model," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 4(2), pages 141-163, July.
    14. Rupert Seidl & Mart-Jan Schelhaas & Werner Rammer & Pieter Johannes Verkerk, 2014. "Correction: Corrigendum: Increasing forest disturbances in Europe and their impact on carbon storage," Nature Climate Change, Nature, vol. 4(10), pages 930-930, October.
    15. Ning Du & David V. Budescu, 2005. "The Effects of Imprecise Probabilities and Outcomes in Evaluating Investment Options," Management Science, INFORMS, vol. 51(12), pages 1791-1803, December.
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    More about this item

    Keywords

    Rotation decision; Risk; Ambiguity; Ambiguity Aversion; Risk Aversion; Value of Information; Forests; Faustmann criterion.;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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