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The Faustmann model under storm risk and price uncertainty: A case study of European beech in Northwestern France

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  • Rakotoarison, Hanitra
  • Loisel, Patrice

Abstract

International, economic and environmental contexts in this century are strongly affected by risks and uncertainties. Due to the long-term nature of forest investment, forest managers must integrate risks and uncertainties into their decisions. Our objective is to build a decision support tool to optimize forest management under multiple risks: extreme events and price variations. Our method integrates, into an economic model, different types of models on forest growth, price functions, predicted storm intensity and intervals, and damage functions. A numerical simulation applied to European beech (Fagus sylvatica) in Northwestern France shows that price variation as between 1974 and 2016 produces higher economic loss than does storm damage. We conclude on the need to concentrate forest policy on the development of new technologies and wood industry practices to increase the value of this natural resource. However, future climate change may well influence storm frequency and intensity, and this places limits on our conclusions.

Suggested Citation

  • Rakotoarison, Hanitra & Loisel, Patrice, 2016. "The Faustmann model under storm risk and price uncertainty: A case study of European beech in Northwestern France," MPRA Paper 85114, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:85114
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    References listed on IDEAS

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    1. Loisel, Patrice, 2014. "Impact of storm risk on Faustmann rotation," Forest Policy and Economics, Elsevier, vol. 38(C), pages 191-198.
    2. Price, Colin, 2011. "When and to what extent do risk premia work? Cases of threat and optimal rotation," Journal of Forest Economics, Elsevier, vol. 17(1), pages 53-66, January.
    3. Lu, Fadian & Gong, Peichen, 2005. "Adaptive thinning strategies for mixed-species stand management with stochastic prices," Journal of Forest Economics, Elsevier, vol. 11(1), pages 53-71, June.
    4. Lecocq, Franck & Caurla, Sylvain & Delacote, Philippe & Barkaoui, Ahmed & Sauquet, Alexandre, 2011. "Paying for forest carbon or stimulating fuelwood demand? Insights from the French Forest Sector Model," Journal of Forest Economics, Elsevier, vol. 17(2), pages 157-168, April.
    5. Patrice, Loisel, 2011. "Faustmann rotation and population dynamics in the presence of a risk of destructive events," Journal of Forest Economics, Elsevier, vol. 17(3), pages 235-247, August.
    6. Navarrete, Eduardo, 2012. "Modeling optimal pine stands harvest under stochastic wood stock and price in Chile," Forest Policy and Economics, Elsevier, vol. 15(C), pages 54-59.
    7. Alexandre Sauquet & Ahmed Barkaoui & Sylvain Caurla & Philippe Delacote & Franck Lecocq, 2011. "Paying for forest carbon or stimulating fuel wood demand? Insights from the French Forest Sector Model," Post-Print halshs-00602112, HAL.
    8. Guo, Christopher & Costello, Christopher, 2013. "The value of adaption: Climate change and timberland management," Journal of Environmental Economics and Management, Elsevier, vol. 65(3), pages 452-468.
    9. Peter Lohmander, 2007. "Adaptive Optimization of Forest Management in A Stochastic World," International Series in Operations Research & Management Science, in: Andres Weintraub & Carlos Romero & Trond Bjørndal & Rafael Epstein & Jaime Miranda (ed.), Handbook Of Operations Research In Natural Resources, chapter 0, pages 525-543, Springer.
    10. Sylvain Caurla & Franck Lecocq & Philippe Delacote & Ahmed Barkaoui, 2010. "The French Forest Sector Model: version 1.0. Presentation and theorical foundations," Working Papers - Cahiers du LEF 2010-04, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
    11. Laurence Reeves & Robert Haight, 2000. "Timber harvest scheduling with price uncertainty using Markowitz portfolio optimization," Annals of Operations Research, Springer, vol. 95(1), pages 229-250, January.
    12. Susaeta, Andres & Carter, Douglas R. & Chang, Sun Joseph & Adams, Damian C., 2016. "A generalized Reed model with application to wildfire risk in even-aged Southern United States pine plantations," Forest Policy and Economics, Elsevier, vol. 67(C), pages 60-69.
    13. David H. Newman & Charles B. Gilbert & William F. Hyde, 1985. "The Optimal Forest Rotation with Evolving Prices," Land Economics, University of Wisconsin Press, vol. 64(4), pages 347-353.
    14. 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.
    15. Gong, Peichen & Löfgren, Karl Gustaf, 2007. "Market and welfare implications of the reservation price strategy for forest harvest decisions," Journal of Forest Economics, Elsevier, vol. 13(4), pages 217-243, November.
    16. Margaret Insley & Kimberly Rollins, 2005. "On Solving the Multirotational Timber Harvesting Problem with Stochastic Prices: A Linear Complementarity Formulation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 735-755.
    17. Thomas A. Thomson, 1992. "Optimal Forest Rotation When Stumpage Prices Follow a Diffusion Process," Land Economics, University of Wisconsin Press, vol. 68(3), pages 329-342.
    18. Knoke, Thomas & Moog, Martin & Plusczyk, Niels, 2001. "On the effect of volatile stumpage prices on the economic attractiveness of a silvicultural transformation strategy," Forest Policy and Economics, Elsevier, vol. 2(3-4), pages 229-240, July.
    19. Yoshimoto, Atsushi & Shoji, Isao, 1998. "Searching for an optimal rotation age for forest stand management under stochastic log prices," European Journal of Operational Research, Elsevier, vol. 105(1), pages 100-112, February.
    20. Gurmit S. Sandhu & William E. Phillips, 1991. "Optimum Forest Rotation in an Imperfect Stumpage Market with a Changing Demand Function," Land Economics, University of Wisconsin Press, vol. 67(2), pages 240-254.
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    Cited by:

    1. 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.

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    More about this item

    Keywords

    Price uncertainty; Storm damage; Risks; Wood industry; Forest policy;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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