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.
Hibbs, Amber Campbell (author), Kahl, Daniel (author), PytlikZillig, Lisa (author), Champion, Ben (author), Abdel-Monem, Tarik (author), Steffensmeier, Timothy (author), Rice, Charles W. (author), and Hubbard, Kenneth (author)
Format:
Journal article
Publication Date:
2014-06
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 140 Document Number: D06056
9 pages., Article # 1RIB4, Via online journal., Food hubs represent a business model through which farmers can collectively market product to access new supply chains and buyers can efficiently access locally sourced foods. Many farmer marketing cooperatives fit within the food hub definition and have existed for decades. Accordingly, much can be learned from them to support food hub business planning efforts. We developed and synthesized case studies of three successful cooperatives in order to match key food hub operational challenges with recommended best management practices. Such information is useful for Extension education efforts supporting the development of economically viable food hub businesses.
9 pages., Article # 1RIB10, Via online journal., Millennials have different investing knowledge and behaviors than generations in the past. Moreover, as compared to baby boomers, millennials have more debt and less wealth to invest. We used current literature and information collected from Extension educators to explore the values, investing behaviors, learning styles, and loyalty attitudes of millennials. We also examined and evaluated investment resources that had been created or adapted by four Extension faculty members across the nation. A proposed framework with suggestions for future research is provided.
