Informational constraints hinder successful adoption and scaling of potentially beneficial agricultural technologies. Social learning in the form of farmer-to-farmer technology transfer can help to address informational constraints. Without incentives, however, the first individuals in the target population to receive the technology may not “automatically” share the knowledge with their neighbours.
This thesis examined the effect of private material rewards and social recognition on the diffusion of agricultural technologies through social learning. Secondly, it assessed the role of social distance in influencing information exchange, and the subsequent impacts on knowledge exposure and technology adoption. Thirdly, the mechanisms through which social networks influence technology diffusion were examined. Fourthly, the thesis quantified the impacts of adopting climate smart agricultural (CSA) technologies on productivity, downside risk, food security, and resilience of livelihoods in the post-conflict northern Uganda.