OPTIMAL HARVESTING OF FOREST AGE CLASSES: A SURVEY OF SOME RECENT RESULTS
Olli Tahvonen
Mathematical Population Studies, 2004, vol. 11, issue 3-4, 205-232
Abstract:
Dynamic optimization problems with vintage or age class structures involve complexities that are not encountered in economic models with fewer state variables. These problems have been faced for centuries in forest harvesting decisions, and the earliest ideas for tackling them date from the early 15th century. However, only recently has the harvesting problem with multiple age classes been specified in a form that is fruitful for economic analysis. This survey discusses some of the main properties of the nonlinear discrete time forestry model, which has proven to be tractable in analytical studies and has been used in empirical policy-oriented research. It is shown that the model's stationary state is represented by a set of cyclic solutions and that the maximum radius of the cycle depends on the period length applied in the model specification. The result suggests that it is essential to note that implications of using continuous or discrete variables in specifying time and age structure in age class models with economic optimization.
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (25)
Downloads: (external link)
http://hdl.handle.net/10.1080/08898480490513616 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:mpopst:v:11:y:2004:i:3-4:p:205-232
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GMPS20
DOI: 10.1080/08898480490513616
Access Statistics for this article
Mathematical Population Studies is currently edited by Prof. Noel Bonneuil, Annick Lesne, Tomasz Zadlo, Malay Ghosh and Ezio Venturino
More articles in Mathematical Population Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().