%O This work was implemented as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) which is carried out with support from CGIAR fund donors and through bilateral funding agreements. For details please visit https://ccafs.cgiar.org/donors. The study was supported by the International Center for Tropical Agriculture (CIAT). The contents and opinions expressed herein are those of the authors and cannot be
taken to reflect the official opinions of associated or supporting organisations. The usual disclaimer applies. We are thankful to Erwin Bulte and Janneke Pieters for their useful comments. Thanks also to the editor, Salvatore Di Falco, and the two anonymous referees for the insightful comments.
%K Social networks, Incentives, Adoption, Risk-mitigating technologies, Uganda
%A K M Shikuku
%A M B Melesse
%I Oxford University Press
%V 47
%L icrisat11705
%J European Review of Agricultural Economics (TSI)
%N 5
%P 1740-1775
%R doi:10.1093/erae/jbaa009
%D 2020
%X We use data from a randomised experiment in Uganda to examine effects of incentives
on the decision to adopt drought-tolerant maize varieties (DTMVs) and mechanisms
through which effects occur. We find that social recognition (SR) incentives to a
random subset of trained farmers – disseminating farmers (DFs) – increase knowledge
transmission from DFs to their co-villagers and change information networks of both
DFs and their neighbours. SR also increases DFs’ likelihood of adopting DTMVs.
However, the corresponding results for private material rewards are not conclusively
strong. We find no evidence that incentives for knowledge diffusion increase the
likelihood of co-villagers adopting DTMVs.
%T Networks, incentives and technology adoption: evidence from a randomised experiment in Uganda