Endogenous Information Sharing and the Gains from Using Network Information to Maximize Technology Adoption

Working Paper: CEPR ID: DP13507

Authors: Kyle Emerick; Erin Kelley; Alain de Janvry; Elisabeth Sadoulet

Abstract: Can agents in a social network be induced to obtain information from outside their peer groups? Using a field experiment in rural Bangladesh, we show that demonstration plots in agriculture - a technique where the first users of a new variety cultivate it in a side-by-side comparison with an existing variety - facilitate social learning by inducing conversations and information sharing outside of existing social networks. We compare these improvements in learning with those from seeding new technology with more central farmers in village social networks. The demonstration plots - when cultivated by randomly selected farmers - improve knowledge by just as much as seeding with more central farmers. Moreover, the demonstration plots only induce conversations and facilitate learning for farmers that were unconnected to entry points at baseline. Finally, we combine this diffusion experiment with an impact experiment to show that both demonstration plots and improved seeding transmit information to farmers that are less likely to benefit from the new innovation.

Keywords: technology adoption; agriculture; social learning

JEL Codes: No JEL codes provided


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Demonstration plots (C93)Knowledge about new rice variety (bd56) (Q16)
Demonstration plots (C93)Conversations about bd56 (Y70)
Demonstration plots (C93)Knowledge diffusion among less connected farmers (Q16)
Central farmers (Q12)Information dissemination effectiveness (L96)
Demonstration plots (C93)Elimination of peer effects in knowledge transfer (C92)
Demonstration plots (C93)Likelihood of seeking information from entry points (D83)

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