Forest Management under Fire Risk when Forest Carbon Sequestration Has Value
AbstractIn this paper, we develop a multiple forest use model to determine the optimal harvest date for a forest stand producing both timber and carbon benefits under a risk of fire. The preferences of the representative non-industrial private forest (NIPF) owner are modeled though an expected utility specification. We introduce saving as a decision of the forest owner at any time. The problems of forest management and saving decisions are solved simultaneously using a stochastic dynamic programming method. A numerical programming method is used to characterize the optimal forest and saving policies. We apply this framework to model the behavior of a representative NIPF owner located in the Southwest of France. The empirical application indicates that a higher risk of fire will decrease the optimal rotation period, while higher carbon prices will increase the optimal harvesting age. We show that increasing the risk of fire leads to a reduction in rotation duration. On the contrary, a higher carbon price makes carbon sequestration more profitable, thereby leading to increasing the rotation duration. We then show how the carbon price/risk of fire frontier is affected by risk aversion.
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Bibliographic InfoPaper provided by Toulouse School of Economics (TSE) in its series TSE Working Papers with number 09-005.
Date of creation: Jan 2009
Date of revision:
Other versions of this item:
- Couture, Stéphane & Reynaud, Arnaud, 2011. "Forest management under fire risk when forest carbon sequestration has value," Ecological Economics, Elsevier, vol. 70(11), pages 2002-2011, September.
- StÃ©phane Couture & Arnaud Reynaud, 2009. "Forest Management Under Fire Risk When Forest Carbon Sequestration Has Value," LERNA Working Papers 09.09.285, LERNA, University of Toulouse.
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- 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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