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1 June 2008 Dynamically Optimal Strategies for Managing Resistance to Genetically Modified Crops
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Abstract

This paper develops a dynamic model of the evolution of pest a population and pest resistance to characterize the socially optimal refuge strategy for managing a pest’s resistance to genetically modified crops. Previous theoretical economic analyses of this problem focus on steady states; we also address refuge policies along the optimal path to the final equilibrium. To elaborate on our theoretical analysis of the resistance problem, we develop a simulation model calibrated to cotton (Gossypium spp.) production in China. Our results show the importance of fitness cost as a determinant of the qualitative nature of optimal refuge policies.

Fangbin Qiao, James Wilen, and Scott Rozelle "Dynamically Optimal Strategies for Managing Resistance to Genetically Modified Crops," Journal of Economic Entomology 101(3), (1 June 2008). https://doi.org/10.1603/0022-0493(2008)101[915:DOSFMR]2.0.CO;2
Received: 4 January 2007; Accepted: 15 January 2008; Published: 1 June 2008
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