15pgs, Research has suggested to not solely include cognitive processes but also affective processes in economic choice modeling. Studying Medjool dates, we conducted a laboratory experiment combining choice experiments and eye-tracking to account for cognitive processes. In addition, participants indicated their level of worry related to production practices to account for affective processes. Our results show that consumers worry more about pesticide residues than genetic modification in foods. They also pay more attention to labels related to these production practices compared to other labels; and the production practice labels received the highest willingness to pay (WTP). Results from linear regressions show that both cognitive and affective processes are associated with WTP. Especially in the full model for WTP for pesticide-free labeling an increase of attention by 1 s increases WTP on average by $0.10 and an increase of the level of worry from one category to the next increases WTP on average by $0.17. Overall, results show that including both cognitive and affective processes as explanatory variables is important when determining factors associated with WTP.
32 pages., via online journal., The phrase in the title is not mine. I am borrowing it here from syndicated
columnist and cowboy poet Baxter Black, who borrowed the title of one
of his own columns “Growth of Agricultural Ignorance” from the editor of
the Delmarva Farmer (a weekly agricultural publication serving the Delaware,
Maryland, and Virginia region). In many ways I agree with the term, and
believe it is accurate in part to describe American society in the late twentieth
century and into the twenty-first. Thus, I would like to take this opportunity
to discuss some trends in American agriculture, and for that matter, agricultural history, and some concerns that I have about them. Not all the trends are bad, of course, and perhaps in some ways, at least, American society is less agriculturally ignorant than Black and others suggest.
10 pages, In this paper, we evaluate the impact of COVID-19 on farmers market (FM) sales across the United
States during the 2020 operating season using survey responses from 420 market managers. Using
a multinomial logit model, we evaluate how certain market characteristics are associated with increased probabilities of market organizations gaining or losing revenue in 2020. We find that
SNAP sales changes, market location, and COVID-19 intensity impacted revenue outcomes. State COVID-19 policies for FM and the existence of FM assistance organizations had less of an impact.