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Neighbours and Extension Agents in Ethiopia: Who matters more for technology diffusion?

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  • Krishnan, Pramila
  • Patnam, Manasa

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.

Suggested Citation

  • Krishnan, Pramila & Patnam, Manasa, 2013. "Neighbours and Extension Agents in Ethiopia: Who matters more for technology diffusion?," CEPR Discussion Papers 9539, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:9539
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    References listed on IDEAS

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    1. Stefan Dercon & Daniel O. Gilligan & John Hoddinott & Tassew Woldehanna, 2009. "The Impact of Agricultural Extension and Roads on Poverty and Consumption Growth in Fifteen Ethiopian Villages," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1007-1021.
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    More about this item

    Keywords

    diffusion; social learning; social networks;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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