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.
3 pages., via online journal., Farm Innovators are regularly exchanging information and their experiences using WhatsApp messenger on their mobile phones. Most of the content shared was knowledge intensive with a mix of personal farming experiences. As Social constructivist learning theory seeks to improve socialinteractions to construct and share knowledge and the social networking through WhatsApp has proved to be potential to construct knowledge. Learning being the outcome of interactions between cognitive and psychological and the WhatsApp being the potential source for socialization and internalization promoted the creation ofsocial wealth in the form of discussion forums of Innovative farmers for learning exchange. The extension mechanism for purposeful farmer to farmer learning exchange has been created which in turn
is a step towards innovative farmer led extension delivery mechanism. The potential of not only WhatsApp but other social media need to be exploited to bring location specific and commodity oriented transformative changes in the agriculture extension delivery system. The experimentation with innovative farmers is not only helping in scaling the farmers’ innovations but also institutional innovations at large. As all human resources (labour, management, innovation, creativity) are products of social relationships, no one can reach maturity without the help of personally caring people, including their families, friends, neighbors, and communities. Farms and agricultural enterprises also depend on the ability of people to work together toward the common goal of ecological, social, and economic sustainability through social networks.
