Neighbours and Extension Agents in Ethiopia: Who Matters More for Technology Diffusion?

Working Paper: CEPR ID: DP9539

Authors: Pramila Krishnan; Manasa Patnam

Abstract: The increased adoption of fertiliser and improved seeds are key to raising land productivity in Ethiopian agriculture. However, as in much of sub-Saharan Africa, the adoption and diffusion of such technologies has been slow. We use data from the Ethiopia between 1999-2009 to examine the role of learning from extension agents versus neighbours for both improved seeds and fertiliser. We use the structure of spatial networks of farmers and panel data to identify these influences and find that while the initial impact of extension agents was high, the effect wore off, in contrast to learning from neighbours.

Keywords: Diffusion; Social Learning; Social Networks

JEL Codes: C31; Q16


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
Learning from neighbours (Y80)Adoption of improved seeds (Q16)
Learning from neighbours (Y80)Adoption of fertiliser (Q16)
Extension visits in 1999 (Q16)Adoption of improved seeds (Q16)
Extension visits in 2009 (Q16)Adoption of improved seeds (Q16)
Extension visits (Y60)Adoption of improved seeds (Q16)

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