Blue Spoons: Sparking Communication about Appropriate Technology Use

Working Paper: NBER ID: w30423

Authors: Arun G. Chandrasekhar; Esther Duflo; Michael Kremer; Joo F. Pugliese; Jonathan Robinson; Frank Schilbach

Abstract: An enduring puzzle regarding technology adoption in developing countries is that new technologies often diffuse slowly through the social network. Two of the key predictions of the canonical epidemiological model of technology diffusion are that forums to share information and higher returns to technology should both spur social transmission. We design a large-scale experiment to test these predictions among farmers in Western Kenya, and we fail to find support for either. However, in the same context, we introduce a technology that diffuses very fast: a simple kitchen spoon (painted in blue) to measure out how much fertilizer to use. We develop a model that explains both the failure of the standard approaches and the surprising success of this new technology. The core idea of the model is that not all information is reliable, and farmers are reluctant to develop a reputation of passing along false information. The model and data suggest that there is value in developing simple, transparent technologies to facilitate communication.

Keywords: Technology Adoption; Communication; Agricultural Practices; Social Networks; Randomized Controlled Trial

JEL Codes: D83; D90; Q10


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
Lowering communication costs through cooperative meetings (D70)Increase in discussions about agricultural practices (Q18)
Lowering communication costs through cooperative meetings (D70)No significant enhancement in knowledge of fertilizer application (Q16)
Introduction of the blue spoon (Y60)Increase in knowledge of fertilizer usage among farmers (Q16)
Introduction of the blue spoon (Y60)Increase in knowledge of fertilizer usage among social contacts (Q16)
Cooperative treatment (C71)Negative feedback on information quality due to increased public scrutiny (L15)
Coupon treatment (H43)No significant effect on knowledge diffusion (D85)

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