Social Learning and Farm Technology in Ethiopia: Impacts by Technology, Network Type, and Poverty Status
研究了埃塞俄比亚农户通过社会网络学习农业技术的影响，发现基于有意关系而非地理邻近的网络对非持续贫困家庭和复杂技术采纳更有效，为推广政策提供参考。
Abstract Improved farm technologies in Ethiopia display high levels of promise and low rates of adoption. This article studies the impact of social networks on technology adoption focusing on social learning through networks based on physical proximity and those based on intentional relationships. Impacts by network type, technology, and asset poverty status are explored. Social learning is more evident for households not in persistent poverty, for more complex technologies, and within networks based on intentional relationships rather than proximity. Results indicate that technology diffusion in Ethiopia is likely to be enhanced if extension can target intentional networks, rather than spatial clusters.