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Please use this identifier to cite or link to this item: http://hdl.handle.net/10625/34365

Title: Dynamically optimal strategy to manage resistance to genetically modified (GM) crops
Authors: Qiao, Fangbin
Wilen, James
Rozelle, Scott
Keywords: GENETICALLY MODIFIED CROPS
COTTON
GENETIC ENGINEERING
BIOTECHNOLOGY
PEST CONTROL
CHINA
BT COTTON
RESISTANCE
NATURAL REFUGE CROPS
ASIA
Issue Date: 2007
Publisher: Department of Agricultural and Resource Economics, University of California, Davis, Davis, CA, US
Abstract: This paper uses a simple model of evolution of pest population and pest resistance to characterize the socially optimal refuge strategy to manage pest’s resistance to genetically modified (GM) crops. The technical part of this paper extends previous theoretical economic analyses of treatment by addressing the optimal path to the equilibrium. In this study, we not only show, using detailed theoretical analyses of the characteristics of the steady state, but also analytically and numerically results characterizing the optimal control paths that lead to the final equilibria. We also study the initial circumstances under which a synthesized interventionist control is optimal and the initial circumstances under which an ecological control (zero control) is optimal.
URI: http://hdl.handle.net/10625/34365
Project Number: 003591
Project Title: EEPSEA (Economy and Environment Program for South East Asia) - Phase III
Appears in Collections:Journal Articles / Articles de revue
IDRC Research Results / Résultats de recherches du CRDI
2000-2009 / Années 2000-2009

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