Benavidez, Justin R. (author), Ribera, Luis A. (author), and Thayer, Anastasia (author)
Format:
Paper
Publication Date:
2020
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 201 Document Number: D11717
Notes:
Paper presented at the 2020 Agricultural and Applied Economics Association Annual Meeting, Kansas City, Missouri, July 26-28, 2020. 20 pages., Authors assessed the impact of tweets by U.S. President Donald Trump on agricultural commodity prices during the trade war with China. Results indicated tht days with high counts of tweets with keywords associated with the 2018-2019 trade war led to statistically significant structural breaks in the price series for hogs, corn, cotton, and soybeans.
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.
14 pages., via online journal., This study has investigated farm households' simultaneous use of social networks, field extension, traditional media, and modern information and communication technologies (ICTs) to access information on cotton crop production. The study was based on a field survey, conducted in Punjab, Pakistan. Data were collected from 399 cotton farm households using the multistage sampling technique. Important combinations of information sources were found in terms of their simultaneous use to access information. The study also examined the factors influencing the use of various available information sources. A multivariate probit model was used considering the correlation among the use of social networks, field extension, traditional media, and modern ICTs. The findings indicated the importance of different socioeconomic and institutional factors affecting farm households' use of available information sources on cotton production. Important policy conclusions are drawn based on findings.
Mirani, Zaheeruddin, Mirani (author), Leske, Gary W. (author), and Khooharo, Aijaz A. (author)
Format:
Proceedings
Publication Date:
1999-03-23
Published:
Pakistan: Association for International Agricultural and Extension Education
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 138 Document Number: C20982
Notes:
Burton Swanson Collection, 8 pages, Session I, from "1999 conference proceedings -- Association for International Agricultural and Extension Education", 15th Annual Conference, 21-24 March 1999, Port of Spain, Trinidad, 25-26, Tobago
