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Can Network Theory-Based Targeting Increase Technology Adoption?
DOI:10.1257/aer.20200295.png)
摘要
En 中文
Can targeting information to network-central farmers induce more adoption of a new agricultural technology? By combining social network data and a field experiment in 200 villages in Malawi, we find that targeting central farmers is important to spur the diffusion process. We also provide evidence of one explanation for why centrality matters: a diffusion process governed by complex contagion. Our results are consistent with a model in which many farmers need to learn from multiple people before they adopt themselves. This means that without proper targeting of information, the diffusion process can stall and technology adoption remains perpetually low.
Keyword:
SOCIAL NETWORKS
DIFFUSION
INFORMATION
POPULATION
CORN
期刊
IF:
11.6
论文数:
5.0K
被引数:
7.5W
机构
引用论文
Social Networks and the Dynamics of Labour Market Outcomes: Evidence from Refugees Resettled in the U.S.社会网络和劳动力市场结果的动态: 来自在美国重新安置的难民的证据

