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Une application du Processus de Décision de Markov au secteur forestier : risque de production, de prix et perte de qualité

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  • Marielle Brunette

    (LEF - Laboratoire d'Economie Forestière - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

Abstract

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  • Marielle Brunette, 2011. "Une application du Processus de Décision de Markov au secteur forestier : risque de production, de prix et perte de qualité," Post-Print hal-01000606, HAL.
    • Handle: RePEc:hal:journl:hal-01000606
    Note: View the original document on HAL open archive server: https://hal.science/hal-01000606v1
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    References listed on IDEAS

    as
    1. Peter Lohmander, 2000. "Optimal sequential forestry decisions under risk," Annals of Operations Research, Springer, vol. 95(1), pages 217-228, January.
    2. Spring, Daniel A. & Kennedy, John O.S., 2005. "Existence value and optimal timber-wildlife management in a flammable multistand forest," Ecological Economics, Elsevier, vol. 55(3), pages 365-379, November.
    3. Sabbadin, Régis & Spring, Danny & Rabier, Charles-Elie, 2007. "Dynamic reserve site selection under contagion risk of deforestation," Ecological Modelling, Elsevier, vol. 201(1), pages 75-81.
    4. Marielle Brunette & Laure Cabantous & Stéphane Couture & Anne Stenger, 2008. "Insurance Demand for Disaster-type Risks and the Separation of Attitudes toward Risk and Ambiguity: an Experimental Study," Working Papers - Cahiers du LEF 2008-05, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
    5. Marielle Brunette & Laure Cabantous & Stéphane Couture & Anne Stenger, 2009. "Assurance, intervention publique et ambiguïté : une étude expérimentale auprès de propriétaires forestiers privés," Économie et Prévision, Programme National Persée, vol. 190(4), pages 123-134.
    6. Daniel Spring & John Kennedy & Ralph Mac Nally, 2005. "Optimal management of a flammable forest providing timber and carbon sequestration benefits: an Australian case study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(3), pages 303-320, September.
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