Quantifying Adoption Intensity for Weed-Resistance Management Practices and Its Determinants among U.S. Soybean, Corn, and Cotton Farmers
2016
Fengxia Dong | Paul D. Mitchell | Terrance M. Hurley | George B. Frisvold
Using data envelopment analysis with principal components, we calculate an adoption-intensity index for herbicide-resistance best management practices (BMPs). Empirical results for over 1,100 farmers in twenty-two U.S. states suggest that many farmers could improve their herbicide resistance BMP adoption. Two-limit truncated regression results show that higher yields and a greater proportion of acres planted with Roundup Ready R seeds motivate weed BMP adoption. While soybean and corn farmers have lower adoption intensity than cotton farmers, farmer educational attainment and greater concern for herbicide effectiveness and for human and environmental safety are found to help increase the adoption of weed BMPs.
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