18 pages, This study examines the application of a self-reliance framework for practitioners and evaluators to better understand the capacities and intrinsic factors impacting smallholder coffee farmers’ commercialization behaviors. We surveyed 40 smallholder coffee producers in Peru using a quantitative instrument. Data were analyzed to determine if statistical relationships exist between farmers’ self-reliance (measured via knowledge and skills, attitudes, and aspirations) and their commercialization behaviors. Findings indicate the self-reliance framework effectively illustrates relationships between farmers’ aspirations, knowledge and skills and their commercialization behaviors, while future, additional studies are needed to better measure and understand the role of commercialization-related attitudes. Practitioners can leverage the study’s findings by using a self-reliance framework to infer farmers’ likeliness to pursue sustainable commercialization practices and align their trainings and design interventions based on evaluation findings. The conceptual self-reliance framework is the first of its kind applied for smallholder coffee commercialization. The findings demonstrate that self-reliance concepts employed recently in other contexts may potentially be used similarly by extension and development facilitators.
11 pages, During the early stages of the COVID-19 pandemic (March-April 2020), opinion leaders in agriculture and natural resources (ANR) were asked to participate in a survey about the impacts of the crisis on the ANR industry specifically about their concerns related to communication, economics, level of preparedness, and health during this crisis. Of the 225 ANR leaders who participated, the majority were concerned that members of the public were sharing inaccurate information about COVID-19; others they come into contact with were not taking appropriate measures to avoid contracting COVID-19; about the impact of COVID-19 on the U.S. economy, their state’s economy, and the global economy; and other countries’ level of preparedness to deal with COVID-19. ANR leaders were consistently the most concerned about items that were outside of their direct sphere of influence. Implications from this work are that ANR leadership programs should incorporate programing to help ANR leaders understand how to be influential during a crisis at a national and international level. For statewide ANR leadership programs, it is recommended to include programming sessions related to identifying and sharing credible information and enabling and inspiring those in their circle of influence to do the same.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 202 Document Number: D12076
Notes:
Online from publisher. 4 pages., Summarizes benefits of objectively-sourced data from sources like the USDA, public and private data firms, geospatial insights and analysis, and more. Cites weaknesses of farmer surveys, promotions, registration forms and other similar sources.
13 pages., While work on agricultural messaging is abundant, the way that audiences form perceptions of messages is not well understood and little research has examined the cognitive effects of image and word associations in an agricultural context. Previous knowledge gap research has shown that socioeconomic status and access to information could be one contributor of perception formation. We propose that these variables could also impact cognitive processing. Therefore, the purpose of this exploratory study was to examine how components of cognitive dissonance and knowledge gap theory apply in the context of a contentious agricultural issue. Data were collected from 1,049 United States’ residents through an online survey with an embedded experimental design. Respondents randomly received one of two image and word association pairings. After viewing the treatment, measures of cognitive conflict, demographics, and desire to learn more were collected. The results showed that the cognitive conflict instrument performed differently in the context of a complex agricultural issue than in prior research. Additionally, the message pairings had a stronger influence on cognitive conflict components than demographic characteristics. Finally, the desire to learn more was impacted by the message treatments. Future research on cognitive conflict and advanced modeling is recommended.
