English, Article, Journal or magazine article edition: Applications of Distributed Optimal Control in Economics-The Case of Forest Management Renan Goetz; Angels Xabadia

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Bookmark: http://trove.nla.gov.au/version/160325
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Applications of Distributed Optimal Control in Economics-The Case of Forest Management
Author
  • Renan Goetz
  • Angels Xabadia
Physical Description
  • preprint
Notes
  • 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.
  • Distributed optimal control, diameter-distributed forest, Escalator Boxcar Train.
  • RePEc:cea:doctra:e2003_37
Language
  • English
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