TY - JOUR
T1 - Can network theory-based targeting increase technology adoption?
AU - Beaman, Lori
AU - BenYishay, Ariel
AU - Magruder, Jeremy
AU - Mobarak, Ahmed Mushfiq
N1 - Funding Information:
* Beaman: Department of Economics and Institute for Policy Research, Northwestern University (email: l-beaman@northwestern.edu); BenYishay: Department of Economics, College of William and Mary (email: abenyishay@wm.edu); Magruder: Agricultural and Resource Economics, University of California-Berkeley (email: jmagruder@berkeley.edu); Mobarak: Yale University (ahmed.mobarak@yale.edu). Esther Duflo was the coeditor for this article. We thank the CEGA/JPAL Agricultural Technology Adoption Initiative (ATAI) and 3ie for financial support. Beaman acknowledges support by the National Science Foundation under grant 1254380. We gratefully acknowledge the support and cooperation of Paul Fatch, Readwell Musopole, and many other staff members of the Malawi Ministry of Agriculture. Thomas Coen, Niall Kelleher, Maria Jones, Ofer Cohen, Allen Baumgardner-Zuzik, and the IPA-Malawi country office provided invaluable support for data collection. Hossein Alidaee provided excellent research assistance. We thank, without implicating, the anonymous referees, Arun Chandrasekhar, Matt Jackson, Kaivan Munshi, Chris Udry and numerous seminar audiences for very helpful comments. The study is registered with the AEA registry under AEARCTR-0002017 (see Beaman et al. 2018). IRB approval was provided by Northwestern University (STU00030251) and MIT (COUHES 1005003884). The data repository is openicpsr-130605 (see Beaman et al. 2021). All errors are our own.
Publisher Copyright:
© 2021 American Economic Association. All rights reserved.
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
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U2 - 10.1257/AER.20200295
DO - 10.1257/AER.20200295
M3 - Review article
AN - SCOPUS:85107718911
SN - 0002-8282
VL - 111
SP - 1918
EP - 1943
JO - American Economic Review
JF - American Economic Review
IS - 6
ER -