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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10625/34365
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| 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: | 2000-2009 / Années 2000-2009 IDRC Research Results / Résultats de recherches du CRDI Journal Articles / Articles de revue
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