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.
8 pages., This study ascertained factors influencing adoption of improved maize seed varieties in three local government areas of Kaduna State, North-central Nigeria. It collected cross-sectional data for a sample of 180 randomly selected farming households across three local government areas of the State in 2015/16. Both descriptive and inferential analyses were performed on the data. The descriptive statistics differentiated adopters from non-adopters, while the inferential analysis involved estimation of a logit model to determine factors driving adoption of improved maize seed varieties in the study areas. The results of the descriptive analysis show significant mean differences between adopters and non-adopters regarding several farm households’ characteristics. The model results reveal that adoption of improved maize seed varieties among the households was positively influenced by age, household size, level of education, farming experience, labour availability, contacts with extension agents, farm size, off-farm income and membership of associations. Thus, the study concluded that improving farmers’ education, expanding coverage and depth of extension services and strengthening farmer associations are useful policy actions for promoting adoption of improved maize varieties. It is also important to address availability, accessibility and affordability issues constraining adoption, enhance credit access and mitigate risk perceptions. The link between researchers and innovators and the farmers who are the off-takers of their outputs should be reinforced to increase maize productivity in order to satisfy national demand and promote food security.
21 Pages, Agricultural advisory services generally rely on interpersonal knowledge transfers by agricultural extension agents who visit farmers to provide information. This approach is not always effective and has proved hard to scale sustainably, particularly in highly dispersed smallholder farming systems. Information and communication technologies (ICTs) have been advanced as a promising way to overcome many of the problems associated with conventional agricultural extension. We evaluate the effectiveness of an ICT‐mediated approach to deliver agricultural information in a field experiment conducted among small‐scale maize farmers in eastern Uganda. Three complementary technologies designed to address both informational and behavioral constraints to technical change are considered. First, we investigate the effectiveness of audiovisual messages (video) as a means of delivering information on input use and improved maize management practices to farmers. Second, we quantify the additional impact of complementing video with an interactive voice response (IVR) service. Third, we estimate the incremental effect of time‐sensitive short message services (SMS) messages designed to remind farmers about applying key practices at specific points during the season. We find that households that were shown a short video on how to become better maize farmers were performing significantly better on a knowledge test, more likely to apply recommended practices, and more likely to use fertilizer than households that did not view the video. These same households also reported maize yields about 10.5% higher than those that did not view the video. We find little evidence of an incremental effect of the IVR service or SMS reminders.
12 pages., via online journal., Development of extension and outreach that effectively engage farmers in climate
change adaptation and/or mitigation activities can be informed by an improved understanding of farmers’ perspectives on climate change and related impacts. This research employed
latent class analysis (LCA) to analyze data from a survey of 4,778 farmers from 11 US Corn
Belt states. The research focused on two related research questions: (1) to what degree do
farmers differ on key measures of beliefs about climate change, experience with extreme
weather, perceived risks to agriculture, efficacy, and level of support for public and private adaptive and mitigative action; and (2) are there potential areas of common ground
among farmers? Results indicate that farmers have highly heterogeneous perspectives, and
six distinct classes of farmers are identified. We label these as the following: the concerned
(14%), the uneasy (25%), the uncertain (25%), the unconcerned (13%), the confident (18%),
and the detached (5%). These groups of farmers differ primarily in terms of beliefs about
climate change, the degree to which they had experienced extreme weather, and risk perceptions. Despite substantial differences on these variables, areas of similarity were discerned
on variables measuring farmers’ (1) confidence that they will be able to deal with increases
in weather variability and (2) support for public and private efforts to help farmers adapt to
increased weather variability. These results can inform segmented approaches to outreach that
target subpopulations of farmers as well as broader engagement strategies that would reach
wider populations. Further, findings suggest that strategies with specific reference to climate
change might be most effective in engaging the subpopulations of farmers who believe that
climate change is occurring and a threat, but that use of less charged terms such as weather
variability would likely be more effective with a broader range of farmers. Outreach efforts
that (1) appeal to farmers’ problem solving capacity and (2) employ terms such as “weather
variability” instead of more charged terms such as “climate change” are more likely to be
effective with a wider farmer audience.
