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Prioritizing Invasive Species Threats Under Uncertainty

Published online by Cambridge University Press:  15 September 2016

L. Joe Moffitt  and
Craig D. Osteen
L. Joe Moffitt
Affiliation:
Department of Resource Economics at the University of Massachusetts in Amherst
Craig D. Osteen
Affiliation:
Department of Resource Economics at the University of Massachusetts in Amherst
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Abstract

Prioritizing exotic or invasive pest threats in terms of agricultural, environmental, or human health damages is an important resource allocation issue for programs charged with preventing or responding to the entry of such organisms. Under extreme uncertainty, program managers may decide to research the severity of threats, develop prevention or control actions, and estimate cost-effectiveness in order to provide better information and more options when making decisions to choose strategies for specific pests. We examine decision rules based on the minimax and relative cost criteria in order to express a cautious approach for decisions regarding severe, irreversible consequences, discuss the strengths and weaknesses of these rules, examine the roles of simple rules and sophisticated analyses in decision making, and apply a simple rule to develop a list of priority plant pests.

Keywords

invasive speciesdecision criteriauncertainty
Type
Contributed Papers
Information
Agricultural and Resource Economics Review , Volume 35 , Issue 1 , April 2006 , pp. 41 - 51
Copyright
Copyright © 2006 Northeastern Agricultural and Resource Economics Association 

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References

Ben-Haim, Y. 2006. Information-Gap Decision Theory. San Diego, CA: Academic Press.Google Scholar
Camerer, C. and Weber, M. 1992. “Recent Developments in Modeling Preferences: Uncertainty and Ambiguity.” Journal of Risk and Uncertainty 5(4): 325–370.Google Scholar
Cauley, J. and Im, E.I. 1988. “Intervention Policy Analysis of Skyjackings and Other Terrorist Incidents.” American Economic Review 78(2): 27–31.Google Scholar
Chertoff, M. 2005. “Statement Before the U.S. Senate Committee on Commerce, Science, and Transportation.” Michael Chertoff, Secretary, U.S. Department of Homeland Security, Washington, D.C. (July 19, 2005).Google Scholar
Eiswerth, M.E. and van Kooten, G.C. 2002. “Uncertainty, Economics and the Spread of an Invasive Plant Species.” American Journal of Agricultural Economics 84(5): 1317–1322.Google Scholar
Ellsberg, D. 1961. “Risk, Ambiguity, and the Savage Axioms.” Quarterly Journal of Economics 75(4): 643–669.Google Scholar
Enders, W. and Sandler, T. 1993. “Terrorism: Theory and Applications.” In Hartley, K. and Sandler, T. eds., Handbook of Defense Economics (Vol. I). Amsterdam: Elsevier Science.Google Scholar
Enders, W. and Sandler, T. 1996. “Terrorism and Foreign Direct Investment in Spain and Greece.” Kyklos 49(3): 331–352.Google Scholar
Endress, L.H. 2002. “Terrorism and the Economics of Biological Invasions.” Paper presented at the 77th Annual Western Agricultural Economic Association International Conference, Seattle, WA (June 29-July 3).Google Scholar
Horan, R.D. Perrings, C. Lupi, F. and Bulte, E.H. 2002. “Biological Pollution Prevention Strategies Under Ignorance: The Case of Invasive Species.” American Journal of Agricultural Economics 84(5): 1303–1310.Google Scholar
Hsu, M. Bhatt, M. Adolphs, R. Tranel, D. and Camerer, C.F. 2005. “Neural Systems Responding to Degrees of Uncertainty in Human Decision-Making.” Science 310(5754): 1680–1683.Google ScholarPubMed
Katzner, D.W. 1998. Time, Ignorance, and Uncertainty in Economic Models. Ann Arbor, MI: University of Michigan Press.CrossRefGoogle Scholar
Kendrick, D.A. 2005. “Stochastic Control for Economic Models: Past, Present and the Paths Ahead.” Journal of Economic Dynamics and Control 29(1): 3–30.Google Scholar
Kolar, C.S. and Lodge, D.M. 2002. “Ecological Predictions and Risk Assessment for Alien Fishes in North America.” Science 298(5596): 1233–1236.Google ScholarPubMed
Lapan, H. and Sandler, T. 1993. “Terrorism and Signaling.” European Journal of Political Economy 9(3): 383–397.Google Scholar
Lee, D.R. 1988. “Free Riding and Paid Riding in the Fight Against Terrorism.” American Economic Review 78(2): 22–26.Google Scholar
Madrick, J. 2002. “Economic Scene/Effective Victory in the War Against Terror Hinges on Cutting Off Resources.” The New York Times, March 21, 2002, pp. C2–C3.Google Scholar
Moffitt, L.J. and Osteen, C.D. 2004. “Cost Criteria in Crop Protection.” Unpublished report (available from authors), Department of Resource Economics, University of Massachusetts, Amherst.Google Scholar
National Invasive Species Council. 2003. “General Guidelines for Establishment and Evaluation of Invasive Species Early Detection and Rapid Response Systems.” U.S. Department of Interior, Washington, D.C. Google Scholar
Ouchi, F. 2004. “A Literature Review on the Use of Expert Opinion in Probabilistic Risk Analysis.” World Bank Policy Research Working Paper No. 3201, World Bank, Washington, D.C.CrossRefGoogle Scholar
Reichard, S.H. and Hamilton, C.W. 1997. “Predicting Invasions of Woody Plants Introduced into North America.” Conservation Biology 11(1): 193–205.Google Scholar
Render, B. Stair, R.M. Jr., and Hanna, M.E. 2006. Quantitative Analysis for Management (9th edition). Englewood Cliffs, NJ: Prentice Hall. Google Scholar
Rustichini, A. Dickhaut, J. Ghirardato, P. Smith, K. and Pardo, J.V. 2005. “A Brain Imaging Study of the Choice Procedure.” Games and Economic Behavior 52(2): 257–282.Google Scholar
Savage, L.J. 1954. Foundations of Statistics. New York: Wiley.Google Scholar
Schwartz, D.M. 1998. “Environmental Terrorism: Analyzing the Concept.” Journal of Peace Research 35(4): 483–496.Google Scholar
Shackle, G.L.S. 1969. Decision, Order, and Time in Human Affairs. Cambridge: Cambridge University Press.Google Scholar
Shogren, J.F. 2000. “Risk Reduction Strategies Against the ‘Explosive Invader.’” In Perrings, M. Williamson, M. and Dalmazzone, S. eds., The Economics of Biological Invasions. Cheltenham, UK: Edward Elgar.CrossRefGoogle Scholar
Slone, M. 2000. “Responses to Media Coverage of Terrorism.” Journal of Conflict Resolution 44(4): 508–522.Google Scholar
United Nations. 2002. Production Yearbook 2002. Food and Agricultural Organization, United Nations, Rome.Google Scholar
U.S. Department of Agriculture. 2003. Agricultural Statistics 2003. Washington, D.C.: U.S. Government Printing Office.Google Scholar
Vickers, D. 1987. Money Capital in the Theory of the Firm. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
World Trade Organization (WTO). 1994. Agreement on the Application of Sanitary and Phytosanitary Measures, General Agreement on Tariffs and Trade. WTO, Geneva, Switzerland. Available at: http://www.wto.org/english/docs_e/legal_e/15sps_01_e.htm (accessed June 21, 2005).Google Scholar