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Climate change typologies and audience segmentation among corn belt farmers

Agricultural Communications Documentation Center (ACDC)
Arbuckle, J.G. (main author), Tyndall, J.C. (author), Morton, L.W. (author), Hobbs, J. (author)
Online journal article
Publication Date:
USA: Soil and Water Conservation Society
Agricultural Communications Documentation Center, Funk Library, University of Illinois
Subject Term:
corn, educational strategies, environmental communication, extension, extension education, farmer opinions, farmer perceptions, land management, natural resource management, sustainability, beliefs, social networks, farmer communication, communication strategies, survey research, climate change, adaptation, audience segmentation
10 pages., Via online journal., Development of natural resource user typologies has been viewed as a potentially effective means of improving the effectiveness of natural resource management engagement strategies. Prior research on Corn Belt farmers’ perspectives on climate change employed a latent class analysis (LCA) that created a six-class typology—the Concerned, Uneasy, Uncertain, Unconcerned, Confident, and Detached—to develop a better understanding of farmer perspectives on climate change and inform more effective climate adaptation and mitigation outreach strategies. The LCA employed 34 variables that are generally unobservable—beliefs about climate change, experience with extreme weather, perceived risks of climate change, and attitudes toward climate action—to identify types. The research reported in this paper builds on this typology of Corn Belt farmers by exploring 33 measures of observable farm enterprise characteristics, land management practices, and farmer demographics to assess whether variations in these observable characteristics between the six farmer classes display systematic patterns that might be sufficiently distinctive to guide audience segmentation strategies. While analyses detected some statistically significant differences, there were few systematic, meaningful observable patterns of difference between groups of farmers with differing perspectives on climate change. In other words, farmers who believe that anthropogenic climate change is occurring, that it poses risks to agriculture, and that adaptive action should be taken, may look very much like farmers who deny the existence of climate change and do not support action. The overall implication of this finding is that climate change engagement efforts by Extension and other agricultural advisors should use caution when looking to observable characteristics to facilitate audience segmentation. Additional analyses indicated that the farmer types that tended to be more concerned about climate change and supportive of adaptive action (e.g., Concerned and Uneasy) reported that they were more influenced by key private and public sector actors in agricultural social networks. On the other hand, farmers who were not concerned about climate change or supportive of adaptation (e.g., the Unconcerned, Confident, and Detached groups, comprising between one-third and one-half of respondents) were less integrated into agricultural networks. This suggests that Extension and other agricultural advisors should expand outreach efforts to farmers who are not already within their spheres of influence.