Quantifying Adoption Intensity for Weed-Resistance Management Practices and Its Determinants among U.S. Soybean, Corn, and Cotton Farmers

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 herbicideresistance 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.


Issue Date:
2016-01
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/230770
Published in:
Journal of Agricultural and Resource Economics, Volume 41, Number 1
Page range:
42-61
Total Pages:
20




 Record created 2017-04-01, last modified 2017-08-29

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