Can Network Theory-Based Targeting Increase Technology Adoption?
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 o...
| Publicado en: | American Economic Review Vol. 111; no. 6; pp. 1918 - 1944 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
American Economic Association
Jun2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=150539682&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 150539682 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00028282 AER jtl: American Economic Review issn: 00028282 maglogo: N pubinfo: dt: Jun2021 vid: 111 iid: 6 pid: 22 pub: American Economic Association artinfo: ui: 150539682 10.1257/aer.20200295 ppf: 1918 ppct: 26 formats: tig: atl: Can Network Theory-Based Targeting Increase Technology Adoption? aug: au: Beaman, Lori BenYishay, Ariel Magruder, Jeremy Mobarak, Ahmed Mushfiq affil: Department of Economics and Institute for Policy Research, Northwestern University Department of Economics, College of William and Mary Agricultural and Resource Economics, University of California-Berkeley Yale University su: Malawi Innovation adoption Diffusion processes Agricultural technology sug: subj: Innovation adoption Malawi Diffusion processes Agricultural technology 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. (JEL O13, O18, O33, Q12, Q16) pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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