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Abstract
In the paper, a dynamic model of diffusion of genetically modified crop technology is developed and simulated using the U.S. soybean market data. The model accounts for factors specific to agricultural markets, such as oligopsony power and strategic interaction among crop processors, growers' characteristics such as adoption behavior, and identity preservation requirements. Simulation results show how these factors affect the magnitude and distribution of the potential gains from genetically modified crops.