Applications of Distributed Optimal Control in Economics-The Case of Forest Management
This paper presents a theoretical model to find the optimal selective-logging regime of a size-distributed forest. The law of motion of the economic model is governed by a partial differential equation that describes the evolution of the forest stock over time. To find the solution of the resulting distributed optimal control problem, we propose a numerical solution technique known as "Escalator Boxcar Train" used in Biology, for the study of dynamics of physiologically structured populations. The empirical part of the paper determines the optimal selective-logging regime of a size-distributed forest, that is, the selective logging that maximizes the discounted net benefits from timber production of a stand of pinus sylvestris, over an infinite time horizon, and compares the selective logging with the clear-cutting regime.
|Date of creation:||2003|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (34) 955 055 210
Fax: (34) 955 055 211
Web page: http://www.centrodeestudiosandaluces.es
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:cea:doctra:e2003_37. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Susana Mérida)
If references are entirely missing, you can add them using this form.