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.
Ngoma, Hambulo (author), Mason-Wardell, Nichole M. (author), Samboko, Paul C. (author), and Hangoma, Peter (author)
Format:
Research summary
Publication Date:
2019
Published:
Zambia: Department of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 166 Document Number: D11674
Notes:
4 pages., Feed the Future Innovation Lab for Food Security Policy, Research Paper 164., Using games, researchers tested the hypothesis that innate behavioral traits such as risk and time preferences play a role in Zambia farmers' decisions about adoption of Climate-smart agriculture (CSA) practices. "Given our findings that more risk-averse individuals are less likely to adopt CSA, a practice that is intended to be risk-reducing, a key policy implication is the need for a retooling of both public and private extension services to better demonstrate and educate farmers on the risk-reducing effect of CSA practices such as conservation agriculture. Moreover, if insurance and subsidies are to be used successfully to nudge adoption, extension will need to educate farmers on the structure of and mechanisms of payouts. This is important to build trust in the incentive systems.
