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Programs on Invasive Species Management under Growth Uncertainty and Measurement Error

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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.

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File URL: http://www.iuj.ac.jp/workingpapers/index.cfm?File=EMS_2007_01.pdf
File Function: First version, 2007
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Bibliographic Info

Paper provided by Research Institute, International University of Japan in its series Working Papers with number EMS_2007_01.

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Length: 37 pages
Date of creation: Feb 2007
Date of revision:
Handle: RePEc:iuj:wpaper:ems_2007_01

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Related research

Keywords: bioeconomic model; invasive species management; growth uncertainty; measurement error; stochastic dynamic programming; value of optimal program;

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References

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  1. Pimentel, David & Zuniga, Rodolfo & Morrison, Doug, 2005. "Update on the environmental and economic costs associated with alien-invasive species in the United States," Ecological Economics, Elsevier, vol. 52(3), pages 273-288, February.
  2. Lars J. Olson & Santanu Roy, 2002. "The Economics of Controlling a Stochastic Biological Invasion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(5), pages 1311-1316.
  3. Sethi, Gautam & Costello, Christopher & Fisher, Anthony C. & Hanemann, W. Michael & Karp, Larry S, 2002. "Fishery management under multiple uncertainty," CUDARE Working Paper Series 929, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
  4. Clark, Colin W. & Kirkwood, Geoffrey P., 1986. "On uncertain renewable resource stocks: Optimal harvest policies and the value of stock surveys," Journal of Environmental Economics and Management, Elsevier, vol. 13(3), pages 235-244, September.
  5. Koji Kotani & Makoto Kakinaka & Hiroyuki Matsuda, 2006. "Dynamic Economic Analysis on Invasive Species Management: Some Policy Implications of Catchability," Working Papers EMS_2006_16, Research Institute, International University of Japan.
  6. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
  7. Mark Eiswerth & Wayne Johnson, 2002. "Managing Nonindigenous Invasive Species: Insights from Dynamic Analysis," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 23(3), pages 319-342, November.
  8. Reed, William J., 1979. "Optimal escapement levels in stochastic and deterministic harvesting models," Journal of Environmental Economics and Management, Elsevier, vol. 6(4), pages 350-363, December.
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Cited by:
  1. Koji Kotani & Makoto Kakinaka & Hiroyuki Matsuda, 2008. "Optimal Escapement Levels on Renewable Resource Management under Process Uncertainty: Some Implications of Convex Unit Harvest Cost," Working Papers EMS_2008_05, Research Institute, International University of Japan.

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