12 pages, 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.
Yu Jin (author), Huffman, Wallace E. (author), and Department of Economics, Shanghai University of Finance and Economics
Department of Economics, Iowa State University
Format:
Journal article
Publication Date:
2016
Published:
Wiley Periodicals, Inc.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 16 Document Number: D10455
17 pages., Via online journal., This article provides new estimates of the marginal product of public agricultural research and extension on state agricultural productivity for the U.S., using updated data and definitions, and forecasts of future agricultural productivity growth by state. The underlying rationale for a number of important decisions that underlie the data used in cost‐return estimates for public agricultural research and extension are presented. The parameters of the state productivity model are estimated from a panel of contiguous U.S. 48 states from 1970 to 2004. Public research and extension are shown to be substitutes rather than complements. The econometric model of state agricultural TFP predicts growth rates of TFP for two‐thirds of states that is less than the past trend rate. The results and data indicate a real social rate of return to public investments in agricultural research of 67% and to agricultural extension of 100+%. The article concludes with guidance for TFP analyses in other countries.
24 pages, National planning and health organizations agree that to achieve healthy and sustainable food systems, planners must balance goals across a spectrum of sustainability issues that include economic vitality, public health, ecological sustainability, social equity, and cultural diversity. This research is an assessment of government-adopted food system plans in the U.S. that examines which topics, across the three dimensions of sustainability (social, environmental, and economic), are included in local food system plans and conducts an exploratory analysis that asks whether the community capitals (built, cultural, social, financial, human, and natural) available in a community are associated with the content of food system plans. The research team first developed a Sustainable Food System Policy Index made up of 26 policy areas across the three dimensions that, in aggregate, define and operationalize sustainable food systems. With this index we evaluated a sample of 28 food system plans for inclusion of these policy impact areas. We then performed an exploratory regression analysis to examine whether the availability of community capitals was associated with the content of food system plans. Findings indicated that jurisdictions integrated a broad range of issues into their food system plans; however, there are certain issues across every dimension of sustainability that are much less frequently included in plans, such as strategies related to participation in decision-making, financial infrastructure, and the stewardship of natural resources. Regression analysis identified statistically significant linear relationships between particular capitals and the proportion of policy areas included in plans. In particular, higher metrics associated with poverty were associated with the inclusion of fewer policy areas and with a potentially narrower policy agenda. This study adds to the plan evaluation literature as one of the first attempts to document the content of a sample of U.S. food system plans through a sustainability lens, contributing to the knowledge of what types of issues are advanced by local food system plans and the policy implications of current gaps in planning agendas.
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