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Poverty status and the impact of social networks on smallholder technology adoption in rural Ethiopia

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  • Liverpool, Lenis Saweda O.
  • Winter-Nelson, Alex

Abstract

Despite the promise of many new farm technologies, technology adoption rates in Ethiopia remain low. This paper studies the impact of social networks on technology adoption through social learning. In addition to geographic networks, intentional relationships are considered. The differential impacts by network type, technology, and asset poverty status are explored. We find evidence that although social learning occurs, it is more consistent for households not in poverty traps than for those that are persistently asset poor. Social learning among rural households is stronger for more complex technologies and is associated with intentional relationships rather than with geographic networks.

Suggested Citation

  • Liverpool, Lenis Saweda O. & Winter-Nelson, Alex, 2010. "Poverty status and the impact of social networks on smallholder technology adoption in rural Ethiopia," IFPRI discussion papers 970, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:970
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    1. Brock, William A. & Durlauf, Steven N., 2001. "Interactions-based models," Handbook of Econometrics,in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 54, pages 3297-3380 Elsevier.
    2. Marenya, Paswel P. & Barrett, Christopher B., 2007. "Household-level determinants of adoption of improved natural resources management practices among smallholder farmers in western Kenya," Food Policy, Elsevier, vol. 32(4), pages 515-536, August.
    3. Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
    4. Durlauf, Steven N. & Fafchamps, Marcel, 2005. "Social Capital," Handbook of Economic Growth,in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 26, pages 1639-1699 Elsevier.
    5. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    6. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    7. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
    8. Besley, T. & Case, A., 1994. "Diffusion as a Learning Process: Evidence from HYV Cotton," Papers 174, Princeton, Woodrow Wilson School - Development Studies.
    9. Michelle Adato & Michael Carter & Julian May, 2006. "Exploring poverty traps and social exclusion in South Africa using qualitative and quantitative data," Journal of Development Studies, Taylor & Francis Journals, vol. 42(2), pages 226-247.
    10. Besley, Timothy & Case, Anne, 1993. "Modeling Technology Adoption in Developing Countries," American Economic Review, American Economic Association, vol. 83(2), pages 396-402, May.
    11. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 531-542.
    12. Liverpool, Lenis Saweda O. & Winter-Nelson, Alex, 2010. "Poverty Status and the Impact of Formal Credit on Technology Use and Wellbeing among Ethiopian Smallholders," World Development, Elsevier, vol. 38(4), pages 541-554, April.
    13. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    14. Prescott, Edward C, 1972. "The Multi-Period Control Problem Under Uncertainty," Econometrica, Econometric Society, vol. 40(6), pages 1043-1058, November.
    15. Christine M. Moser & Christopher B. Barrett, 2006. "The complex dynamics of smallholder technology adoption: the case of SRI in Madagascar," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 373-388, November.
    16. Heidi Hogset & Christopher B. Barrett, 2010. "Social Learning, Social Influence, and Projection Bias: A Caution on Inferences Based on Proxy Reporting of Peer Behavior," Economic Development and Cultural Change, University of Chicago Press, vol. 58(3), pages 563-589, April.
    17. Jovanovic, Boyan & Nyarko, Yaw, 1994. "The Bayesian Foundations of Learning by Doing," Working Papers 94-15, C.V. Starr Center for Applied Economics, New York University.
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    Cited by:

    1. Liverpool-Tasie, Lenis Saweda & Kuku, Oluyemisi & Ajibola, Akeem, 2011. "Review of literature on agricultural productivity, social capital and food security in Nigeria:," NSSP working papers 21, International Food Policy Research Institute (IFPRI).

    More about this item

    Keywords

    asset poverty; geographic networks; households; Poverty traps; Social networks; Technology adoption;

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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