Skip to main content

A Stochastic Efficiency Approach for Determining the Economic Rotation of a Forest Stand

The full text article is temporarily unavailable.

We apologise for the inconvenience. Please try again later.

Existing risk-rotation models for forest stands assume risk-neutrality on the part of decision makers. The criterion by which the optimal economic rotation is chosen in such models is based on the maximum expected discounted value of the site. Economic theory suggests, however, that many individuals are risk-averse and do not make investment decisions based solely on the mean of the distribution of investment returns. Models assuming risk-neutrality do not necessarily identify the appropriate economic rotation for such investors. Stochastic dominance analysis is employed to incorporate risk-aversion into the rotation decision. An example demonstrates how to apply the technique in practice, and results are compared with alternative decision rules, these being the (1) deterministic land expectation value, (2) mean-variance rule, and (3) mean-coefficient of variation rule. Results are consistent with previous work in that the inclusion of risk identifies risk-efficient rotations that may be shorter than in the deterministic case. Unlike previous efforts, more than one risk-efficient rotation may be identified. The mean-variance rule cannot usefully be applied to the rotation decision, and the mean-coefficient of variation rule defines a much larger efficient set than does stochastic dominance analysis. A sensitivity test shows that the degree of stochastic efficiency attained for a given rotation age changes with the annual probability of fire. For. Sci. 34(2):441-457.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Risk; first-degree stochastic dominance; second-degree stochastic dominance; stochastic dominance

Document Type: Journal Article

Affiliations: Assistant Professor, School of Forestry and Alabama Agricultural Experiment Station, Auburn University, Auburn, AL 36849

Publication date: 01 June 1988

  • 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
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