TY - JOUR
T1 - Factors affecting the choice, intensity, and allocation of irrigation technologies by U.S. cotton farmers
AU - Pokhrel, Bijay K.
AU - Paudel, Krishna P.
AU - Segarra, Eduardo
N1 - Funding Information:
Funding: This research was partially funded by Cotton Incorporated, Grant number 09-623. Paudel’s time in this paper was supported by United States Department of Agriculture, Hatch project #94358 “Management and Policy Challenges in a Water Scarce World.” Conflicts of Interest: Cotton Incorporated partially supported this research but it had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.
Publisher Copyright:
© 2018 by the authors.
PY - 2018/5/30
Y1 - 2018/5/30
N2 - We use the 2013 cotton precision farming survey data to study the adoption of irrigation technologies by cotton farmers in 14 states of the United States. We find that farmers with a higher irrigated yield, and who are from the Southern Plains (Texas and Oklahoma), adopt water-efficient irrigation technologies, such as sub-surface drip and trickle irrigation technologies. There are 10 irrigation technologies that farmers can adopt for cotton production in these 14 cotton-growing states. The intensity of the irrigation technologies, as measured by the number of irrigation technologies adopted in cotton production, is affected by the irrigated cotton yield realized, land holding (total land owned), education, computer use, and the origin of the cotton farmer being from the Southern Plains. We use a multivariate fractional regression model to identify land allocation by the different irrigation technologies used. Our results indicate that significant variables affecting land allocation with different irrigation technologies are the age of the operator, the cover crop, the information sources used, the per acre irrigated yield, the education, and the cotton farmer being from the Southern Plains.
AB - We use the 2013 cotton precision farming survey data to study the adoption of irrigation technologies by cotton farmers in 14 states of the United States. We find that farmers with a higher irrigated yield, and who are from the Southern Plains (Texas and Oklahoma), adopt water-efficient irrigation technologies, such as sub-surface drip and trickle irrigation technologies. There are 10 irrigation technologies that farmers can adopt for cotton production in these 14 cotton-growing states. The intensity of the irrigation technologies, as measured by the number of irrigation technologies adopted in cotton production, is affected by the irrigated cotton yield realized, land holding (total land owned), education, computer use, and the origin of the cotton farmer being from the Southern Plains. We use a multivariate fractional regression model to identify land allocation by the different irrigation technologies used. Our results indicate that significant variables affecting land allocation with different irrigation technologies are the age of the operator, the cover crop, the information sources used, the per acre irrigated yield, the education, and the cotton farmer being from the Southern Plains.
KW - Intensity
KW - Irrigation area allocation
KW - Irrigation technology
KW - Multivariate fractional regression
KW - Water-efficient irrigation technologies
UR - http://www.scopus.com/inward/record.url?scp=85047829562&partnerID=8YFLogxK
U2 - 10.3390/w10060706
DO - 10.3390/w10060706
M3 - Article
AN - SCOPUS:85047829562
VL - 10
JO - Water (Switzerland)
JF - Water (Switzerland)
SN - 2073-4441
IS - 6
M1 - 706
ER -