期刊
JOURNAL OF DEVELOPMENT ECONOMICS
卷 125, 期 -, 页码 1-20出版社
ELSEVIER
DOI: 10.1016/j.jdeveco.2016.10.004
关键词
Information failure; Technology diffusion; Agriculture; Africa
类别
资金
- International Initiative for Impact Evaluation, Inc through the Global Development Network (GDN)
- Mozambique office of the United States Agency for International Development
- Trust Fund for Environmentally and Socially Sustainable Development
- Belgian Poverty Reduction Partnership and the Gender Action Plan
- CGIAR Research Program on Policies, Institutions, and Markets (PIM) led by the International Food Policy Research Institute (IFPRI)
- CGIAR Fund donors
Extension is designed to enable lab-to-farm technology diffusion. Decentralized models assume that information flows from researchers to extension workers, and from extension agents to contact farmers(CFs). CFs should then train other farmers in their communities. Such a modality may fail to address informational inefficiencies and accountability issues. We run a field experiment to measure the impact of augmenting the CF model with a direct CF training on the diffusion of a new technology. All villages have CFs and access the same extension network. In treatment villages, CFs additionally receive a three-day, central training on the new technology. We track information transmission through two nodes of the extension network: from extension agents to CFs, and from CFs to other farmers. Directly training CFs leads to a large, statistically significant increase in adoption among CFs. However, higher levels of CF adoption have limited impact on the behavior of other farmers.
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