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When and to what extent do risk premia work? Cases of threat and optimal rotation

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  • Price, Colin

Abstract

As with financial risk in markets, physical risk (threat or hazard) has sometimes been treated by adding a premium to the discount rate for NPV calculations applied to forestry options. A discount premium reflecting the rate of threat gives the correct rotation for a perpetual succession of crops, and, by simple adjustment, the correct land expectation value, but only if the threat occurs at a constant rate throughout the rotation and if destruction - if it happens at all - is complete. This is true irrespective of the number of intermediate cash flows (e.g. from thinnings). If some value can be salvaged following the destructive event, neither optimal rotation nor NPV is correctly determined by using a threat premium. Partial salvage of value may make the rotation longer or shorter than the threat-free one. A threat-adjusted rate does not give a correct result when threat level changes during the rotation. These findings are illustrated with thinned, wind-susceptible crops in the UK, and crops subject to illicit felling in India.

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  • 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.
  • Handle: RePEc:eee:foreco:v:17:y:2011:i:1:p:53-66
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    References listed on IDEAS

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    1. Alvarez, Luis H.R. & Koskela, Erkki, 2006. "Does risk aversion accelerate optimal forest rotation under uncertainty?," Journal of Forest Economics, Elsevier, vol. 12(3), pages 171-184, December.
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    6. 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.
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    Cited by:

    1. 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.
    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. Morag F. Macpherson & Adam Kleczkowski & John Healey & Nick Hanley, 2015. "When to harvest? The effect of disease on optimal forest rotation," Discussion Papers in Environment and Development Economics 2015-19, University of St. Andrews, School of Geography and Sustainable Development.
    4. 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.
    5. Loisel, Patrice, 2014. "Impact of storm risk on Faustmann rotation," Forest Policy and Economics, Elsevier, vol. 38(C), pages 191-198.
    6. Loisel, Patrice, 2020. "Under the risk of destructive event, are there differences between timber income based and carbon sequestration based silviculture?," Forest Policy and Economics, Elsevier, vol. 120(C).
    7. Price, Colin, 2017. "Optimal rotation with negative discount rates: completing the picture," Journal of Forest Economics, Elsevier, vol. 29(PB), pages 87-93.

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