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Water 2018, 10(6), 706; https://doi.org/10.3390/w10060706

Factors Affecting the Choice, Intensity, and Allocation of Irrigation Technologies by U.S. Cotton Farmers

1
Texas Institute for Applied Environmental Research (TIAER), Tarleton State University, Tarleton, TX 76401, USA
2
Department of Agricultural Economics and Agribusiness, Louisiana State University (LSU) and LSU Agricultural Center, Baton Rouge, LA 70803, USA
3
Department of Agricultural Economics, Texas Tech University, Lubbock, TX 79409, USA
*
Author to whom correspondence should be addressed.
Received: 23 April 2018 / Revised: 25 May 2018 / Accepted: 27 May 2018 / Published: 30 May 2018
(This article belongs to the Section Water Resources Management and Governance)
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Abstract

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. View Full-Text
Keywords: irrigation technology; irrigation area allocation; intensity; multivariate fractional regression; water-efficient irrigation technologies irrigation technology; irrigation area allocation; intensity; multivariate fractional regression; water-efficient irrigation technologies
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Pokhrel, B.K.; Paudel, K.P.; Segarra, E. Factors Affecting the Choice, Intensity, and Allocation of Irrigation Technologies by U.S. Cotton Farmers. Water 2018, 10, 706.

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