Programs on Invasive Species Management under Growth Uncertainty and Measurement Error

Koji Kotani, Makoto Kakinaka and Hiroyuki Matsuda ()
Additional contact information
Hiroyuki Matsuda: Yokohama National University, http://www.ynu.ac.jp/

No EMS_2007_01, Working Papers from Research Institute, International University of Japan

Abstract: The management programs for invasive species have been proposed in many regions. The resulting outcome on success or failure seems to be significantly affected by the degrees of multiple uncertainties, such as growth uncertainty and measurement error, associated with management practices. This study first examines the optimal policy on invasive species management under growth uncertainty, and then incorporates measurement error into the model. We find various novel results and discuss related policy implications that emanate from the interplays between two sources of the uncertainty. The corresponding values of the optimal programs are also examined.

Keywords: bioeconomic model; invasive species management; growth uncertainty; measurement error; stochastic dynamic programming; value of optimal program (search for similar items in EconPapers)
JEL-codes: Q57 Q58 (search for similar items in EconPapers)
Pages: 37 pages
Date: 2007-02
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.iuj.ac.jp/workingpapers/index.cfm?File=EMS_2007_01.pdf First version, 2007 (application/pdf)

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:iuj:wpaper:ems_2007_01

Access Statistics for this paper

More papers in Working Papers from Research Institute, International University of Japan 777 Kokusai-cho, Minami Uonuma0-shi, Niigata 949-7277 JAPAN. Contact information at EDIRC.
Bibliographic data for series maintained by Kazumi Imai, Office of Academic Affairs ().