Skip to main content

Risk Preferences and Adaptive Harvest Policies for Even-Aged Stand Management

Buy Article:

$21.50 plus tax (Refund Policy)

Uncertainty in future states of nature affects the set of feasible management alternatives as well as a forest owner's preferences among different alternatives. To incorporate uncertainty into forestry decisions, both effects should be recognized simultaneously. This study concerns the final harvest decision in even-aged stand management with stochastic stumpage prices. An expected utility maximization model is developed for determining the optimal adaptive harvest policy. Instead of assuming risk-neutrality on the side of forest owners, the model explicitly incorporates risk preferences into the determination of reservation prices. A method for estimating the set of efficient adaptive harvest policies for risk-averse forest owners is developed based on the mean-variance rule and stochastic dominance analysis. The set of efficient adaptive harvest policies is estimated and compared with the set of efficient rotation ages for two example stands. Numerical results show that any risk-averse forest owner prefers the optimal adaptive harvest policy to the optimal rotation age. By using the rule of "harvest only when the observed stumpage price is equal to or higher than the reservation price," the expected net present value can be increased, and, meanwhile, the standard deviation of the net present value can be reduced significantly. Incorporation of risk-aversion leads to reservation prices that may be lower than those that maximize the expected net present value. It indicates that risk-averse forest owners typically should harvest earlier than risk-neutral forest owners. For. Sci. 44(4):496-506.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: Forest management; rotation age; stochastic dominance analysis; uncertainty

Document Type: Journal Article

Affiliations: Assistent Professor, Department of Forest Economics, Swedish University of Agricultural Sciences, S-90183 UmeƄ, Sweden Phone (+46)-90-7866272;, Fax: (+46)-90-7866073

Publication date: 1998-11-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more