13 pages., Article #: 3FEA2, via online journal., A multiple indicators, multiple causes, or MIMIC, modeling framework can be used for analyzing a variety of farmer decision-making situations where multiple outcomes are possible. Example applications include analyses of farmer use of multiple information sources, management practices, or technologies. We applied the framework to analyze use of multiple information sources by beef cattle farmers. We provide measures of how farmer demographics, farm characteristics, and risk attitudes influenced farmer use of information from Extension, producer groups, popular press, the U.S. Department of Agriculture, the Internet, and other farmers. Education and greater willingness to take risk positively influenced information use among the farmers we studied. Our process has implications for broader use within Extension.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 143 Document Number: D06433
Notes:
Website of the International Federation of Agricultural Journalists. 2 pages., Agricultural journalist describes paralysis of agriculture news in Burundi. Reports having been interrogated by police.
Bahn, Henry M. (author / U. S. Department of Agriculture) and Association for International Agricultural and Extension Education
Format:
conference papers
Publication Date:
1997-03-04
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 133 Document Number: C20293
Notes:
Burton Swanson Collection, Section H; from "1997 conference papers : Association for International Agricultural and Extension Education", 13th Annual Conference, 3, 4, 5 April 1997, Arlington, Virginia
16 pages., via online journal., raceability system has received wide attention in solving food safety issues, via which food information could be tracked back to producer/farmers. Consumers need to obtain this information from producers or social networks, trust in the information, and consequently assess perceived risks, especially when food scandals are exposed to the media. In this study, we introduce the social embeddedness theory to understand how consumers' social activities affect their risk perceptions on traceable food. Specifically, we investigate how risk perceptions are predicted by the interpersonal relationships, organizational level and social-level relationships. Results show that the interpersonal relationships were associated with lower levels of risk perceptions, while organizational and social relationships impacted consumer's risk perceptions at middle and higher levels, respectively. Results also show that the “ripple effect” extended to effect of risk events with negative information, however, did not exist for the group exposed to positive information. Potential food safety implications have been proposed to identify for effective risk mitigation under media coverages.
