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.
13 pages., Via online journal., Access to food is a basic pillar of human development. It is therefore unsurprising that it features so centrally on global development agendas and that a robust, interdisciplinary literature seeks to examine its determinants. This study focuses on the relationship between mobile technology and food access. Specifically, we ask whether mobile technology can strengthen the relationship between food access and certain social and political factors such as remittance flows and political participation. We use Afrobarometer surveys and highly disaggregated data on 2G network coverage to estimate a multilevel model testing how increased connectivity measured by mobile technology influences food access. We show that mobile phone use and higher frequency of use are significantly and positively correlated with food access, but we do not find evidence that remittances and political participation levels can explain the mechanisms linking mobile technology and food access. The study highlights that connectivity can play a powerful role in shaping food outcomes even when controlling for commonly identified impediments such as income constraints or physical isolation. These findings suggest that policies aimed at improving food access should devote attention to strengthening both communication and physical infrastructure.
