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

Description

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.

Links & Downloads

1. Dong, F., Mitchell, P. D., Hurley, T. M., & Frisvold, G. B. (2016). Quantifying adoption intensity for weed-resistance management practices and its determinants among U.S. Soybean, corn, and cotton farmers. Journal of Agricultural and Resource Economics, 41(1), 42-61.
2. 1068-5502
3. http://hdl.handle.net/10150/622431
4. http://arizona.openrepository.com/arizona/handle/10150/622431
5. JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS

Tags

adoption intensity

best management practices

common-weight data envelopment analysis

herbicide-resistance management

weed-resistance management

Additional Fields

Identifer	oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/622431
Date	01 1900
Creators	Dong, Fengxia, Mitchell, Paul D., Hurley, Terrance M., Frisvold, George B.
Contributors	Univ Arizona, Dept Agr & Resource Econ
Publisher	WESTERN AGRICULTURAL ECONOMICS ASSOC
Source Sets	University of Arizona
Language	English
Detected Language	English
Type	Article
Rights	Copyright 2016 Western Agricultural Economics Association
Relation	http://purl.umn.edu/230770