3 pages., Online from publisher website., Following a training course in technology stewardship, actors in the Caribbean's agri-food sector are implementing ICT approaches to provide agricultural advice and support to their local communities
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D08606
Notes:
Located in Review of Extension Studies, volumes for 1946-1956, U.S. Department of Agriculture, Washington, D.C., Summary of a report of research gathered by the U.S. Extension Service, Washington, D.C. 8 pages.
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.
INTERPAKS, Examines the nature and extent of different extension services available to farmers in Punjab state (1974-5) as well as the impact of extension inputs on productivity in agriculture. The design of the study was multi-stage stratified random sampling with weights assigned to different items of extension input (mass media, visits by extension officers, visits to extension agencies, training). On the average, each farmer visited the extension agencies 5.8 times a year, was visited 9.42 times, only 22% of farmers received training, 28% purchased daily newspapers, 86% listened to radio programs for the rural population, and 68% visited the university. Production function analysis was conducted both with and without extension inputs. The regression coefficient of the extension input was found to be 0.18 which was significant at the 5% level.
