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Threshold price as an economic indicator for sustainable forest management under stochastic log price
Authors:Atsushi Yoshimoto
Institution:(1) Department of Mathematical Analysis and Statistical Inference, Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato Tokyo, 106-8569, Japan
Abstract:We seek the minimum harvest age and threshold price for sustaining forest management by constructing a stochastic dynamic programming model using a geometric mean-reverting process for log price dynamics. Three decisions—“Wait for harvest”, “Harvest & Plant”, and “Harvest & Abandon”—are assumed. The applied growth simulator is deterministic. Using the monthly time series data of sugi (Cryptomeria japonica) log price from 1975 to 2006, our analyses show that when the reverted mean is lower than the cost, the minimum harvest age increases as the current price approaches the threshold price, then declines. In other cases with a higher reverted mean, the minimum harvest age increases as the current or initial log price decreases. When the initial log price approaches the threshold price, the minimum harvest age tends to increase. These phenomena can be used to evaluate the possibility of management abandonment under a stochastic situation of log price dynamics.
Keywords:Geometric mean-reverting process  Log price  Stochastic differential equation  Stochastic dynamic programming  Sustainable forest management
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