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.
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.
16 pages., via online journal., Fraudulent activities in the international honey market affect 10% of food, and cost the global food market $50 billion per annum. Although many developed countries have created regulations to combat food fraud, illegally imported honey, especially originating from China, still enters through transshipments and relabelling to mask its true origin. This honey laundering poses a health risk to consumers, as Chinese honey potentially contains illegal and unsafe antibiotics and high levels of herbicides and pesticides. We analyse whether information about the negative health impacts of laundered honey increases the proportion of consumers willing to pay a premium for local fraud‐free honey. Using a laboratory experiment, we find when consumers are given honey laundering information, their willingness to pay a premium for local fraud‐free honey increases by as much as 27 percentage points. Our findings suggest that by conveying honey laundering information and guaranteeing their honey is fraud‐free, producers can potentially increase revenues and reduce the prevalence of food fraud. Our results further show that consumers' preference for various honey characteristics and age also influence the probability of paying a premium for local honey.
