Abstract via online journal. 2 pages., Technological innovation is vital to economic growth and food security in sub-Saharan Africa where agricultural productivity has been stagnant for a long time. Extension services and learning from peer farmers are two common approaches to facilitate the diffusion of new technologies, but little is known about their relative effectiveness. Selection bias, whereby well-motivated training participants would perform better even without extension services, as well as knowledge spillovers, where non-participants can indirectly benefit from extension services, are among the major threats to causal inference. Using a unique sequential randomized experiment on agricultural training, this study attempts to meet the dual objectives of executing rigorous impact evaluation of extension services and subsequent spillovers on rice production in Cote d’Ivoire. Specifically, to reduce selection bias, we randomly assigned eligibility for training participation; and to satisfy the stable unit treatment value assumption, control-group farmers were initially restricted from exchanging information with treated-group farmers who had received rice management training. Once some positive impacts were confirmed, information exchange between the treated and control farmers was encouraged. We found that the initial performance gaps created by the randomized assignment disappeared over time, due presumably to social learning from peer farmers. A detailed analysis concerning the information network and peer effects provided suggestive evidence that there were information and technology spillovers from treated to control farmers after removing the information exchange restriction. Overall, our study demonstrates that information dissemination by farmers can be as effective in improving practices as the initial training provided by extension services.
10 pages., Article # 2FEA3, Via online journal., There are many potential advantages to collaborations between Extension and nonprofit organizations; however, it is unclear what factors contribute to a successful collaboration. We used an exploratory cross-comparative case study design to analyze four cases of highly successful Extension/nonprofit collaborations in one area in Florida. Using both deductive and inductive analysis processes, we identified several factors that contributed to the success of these partnerships: alignment of goals, longevity, informal adaptable partnering, relevant Extension agent background, delegation of tasks, marketability and fun, and relationship building. Exploration of these factors can inform future studies and has immediate, practical implications for Extension agents.
