Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 107 Document Number: C10135
Notes:
search from AgEcon., ERI Study Paper 95-13. September 1995 10 pages; Adobe Acrobat PDF 57K bytes, In a two-period model, economists such as K.J. Arrow, A.C. Fisher, and C. Henry, have shown that when development is both indivisible and irreversible, a developer who ignores the possibility of obtaining new information about the outcome of such development will invariably underestimate the benefits of preservation and hence favor development. In this note, I extend the AFH analysis in two directions. I model the land development problem in a dynamic framework, explicitly specifying an information production function. In such a setting, I then ask and answer the question concerning when development should take place. JEL Classification: D82, Q20 Key words: development, dynamic, information, uncertainty
Forthcoming in Journal of Environmental Management
James F. Evans Collection, cited reference, Although computer technologies have evolved rapidly, farmers have been slow to adopt these technologies. This research identifies factors influencing farmers' adoption of computers and the number and type of applications for which the computer is used. Ohio commercial farmers were randomly sampled and analyzed using multinomial logit techniques. Results suggest that older farmers are less likely to adopt computers, less likely to find them useful, and make fewer applications of the computer in their business. Education level is positively associated with computer adoption and with increased number of applications made of the computer. (author)
Online via cattlenetwork.com. "Best of Drovers - this month's top stories." 2 pages., Involves the defamation settlement Disney paid to Beef Products Inc. for faulty, damaging reporting by ABC-TV involving the BPI product, lean finely textured beef.
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.
