Cited by 328Agricultural Innovations and PracticesAgricultural Development and ManagementExperimental Behavioral Economics Studies

Social Learning and Incentives for Experimentation and Communication

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BenYishay, Ariel, Mobarak, A Mushfiq·2019·The Review of Economic Studies

Abstract

Low adoption of agricultural technologies holds large productivity consequences for developing countries. Many countries hire agricultural extension agents to communicate with farmers about new technologies, even though a large academic literature has established that information from social networks is a key determinant of product adoption. We incorporate social learning in extension policy using a large-scale field experiment in which we communicate to farmers using different members of social networks. We show that communicator own adoption and effort are susceptible to small performance incentives, and the social identity of the communicator influences others’ learning and adoption. Farmers appear most convinced by communicators who share a group identity with them, or who face comparable agricultural conditions. Exploring the incentives for injection points in social networks to experiment with and communicate about new technologies can take the influential social learning literature in a more policy-relevant direction.

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Crossref · 10.1093/restud/rdy039

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67 of 67 references verified0 citation errors · 0 not checkable

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Authors
BenYishay, A., & Mobarak, A. M.
Affiliations
  • William & Mary (US)
  • Yale University (US)
Corresponding author
Mobarak, A Mushfiq
Venue
The Review of Economic Studies
Published
2018-07-30
Volume
86
Issue
3
Pages
976-1009
ISSN
  • 0034-6527 (ISSN-L)
  • 1467-937X
OpenAlex
W2885501844
Cited by
328
References
67
Citations by year
2026: 34 · 2025: 39 · 2024: 38 · 2023: 47 · 2022: 49 · 2021: 44 · 2020: 30 · 2019: 30 · 2018: 9 · 2017: 4 · 2016: 3 · 2015: 1
FWCI
72.47
Type
journal article
Language
en
Open access
Locations
  • The Review of Economic Studies (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Topics
  • Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
  • Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Development and Management
  • Social Sciences › Safety Research › Experimental Behavioral Economics Studies
Keywords
social learning, agricultural technology adoption, agricultural extension, agricultural extension workers, social networks, performance-based incentives, social identity, group identity, injection point, developing countries

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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