Can Network Theory-Based Targeting Increase Technology Adoption?

S-Tier
Journal: American Economic Review
Year: 2021
Volume: 111
Issue: 6
Pages: 1918-43

Authors (4)

Score contribution per author:

2.011 = (α=2.01 / 4 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

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.

Technical Details

RePEc Handle
repec:aea:aecrev:v:111:y:2021:i:6:p:1918-43
Journal Field
General
Author Count
4
Added to Database
2026-01-25