20 pages., via online journal., During the last 10 years, different initiatives have been implemented to provide mobile-based extension services for the agricultural sector in Egypt. The current study compared the quality of agricultural extension messages between public and private providers. A simple random sample of 120 farmers was selected representing 7% of the total farmers registered in the databases of Ministry of Agriculture (public services) and Shoura company (private services). Farmers assessed a sample of 10 messages delivered by both providers in terms of six indicators namely (1) access, (2) utilization, (3) timeliness, (4) trust, (5) satisfaction, and (6) sharing information with other farmers. The findings revealed the lack of access to messages by the farmers in the two services. However, more than 50% had utilized the majority of messages (in case of access). The study also showed significant differences between perception of farmers to quality attributes in public and private services (Access 6.77, 0.01; Utilization 8.44, 0.004; Timeliness 8.55, 0.002; Satisfaction 8.88, 0.001; information sharing 7.62, 0.009) except for trust (1.11, 0.4). Findings provide practical implications to support mobile-based extension services to enable sharing information and link farmers with other actors in the agricultural value chain.
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.
