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Social Learning and Farm Technology in Ethiopia: Impacts by Technology, Network Type, and Poverty Status

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

Abstract

Improved farm technologies in Ethiopia display high levels of promise and low rates of adoption. This article studies the impact of social networks on technology adoption focusing on social learning through networks based on physical proximity and those based on intentional relationships. Impacts by network type, technology, and asset poverty status are explored. Social learning is more evident for households not in persistent poverty, for more complex technologies, and within networks based on intentional relationships rather than proximity. Results indicate that technology diffusion in Ethiopia is likely to be enhanced if extension can target intentional networks, rather than spatial clusters.

Suggested Citation

  • Lenis Saweda O. Liverpool-Tasie & Alex Winter-Nelson, 2012. "Social Learning and Farm Technology in Ethiopia: Impacts by Technology, Network Type, and Poverty Status," Journal of Development Studies, Taylor & Francis Journals, vol. 48(10), pages 1505-1521, October.
  • Handle: RePEc:taf:jdevst:v:48:y:2012:i:10:p:1505-1521
    DOI: 10.1080/00220388.2012.693167
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    Cited by:

    1. Mekonnen, Daniel Ayalew & Gerber, Nicolas & Matz, Julia Anna, 2018. "Gendered Social Networks, Agricultural Innovations, and Farm Productivity in Ethiopia," World Development, Elsevier, vol. 105(C), pages 321-335.
    2. Xie, Hua & You, Liangzhi & Dile, Yihun T. & Worqlul, Abeyou W. & Bizimana, Jean-Claude & Srinivasan, Raghavan & Richardson, James W. & Gerik, Thomas & Clark, Neville, 2021. "Mapping development potential of dry-season small-scale irrigation in Sub-Saharan African countries under joint biophysical and economic constraints - An agent-based modeling approach with an applicat," Agricultural Systems, Elsevier, vol. 186(C).
    3. Steinhübel, Linda & Wegmann, Johannes & Jose, Monish, 2022. "Neighborhood effects, urbanization, and agricultural commercialization in South India," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322143, Agricultural and Applied Economics Association.
    4. Fisher, Monica & Holden, Stein T. & Katengeza, Samson P., 2017. "Adoption of CA technologies among Followers of Lead Farmers: How Strong is the Influence from Lead Farmers?," CLTS Working Papers 7/17, Norwegian University of Life Sciences, Centre for Land Tenure Studies, revised 21 Oct 2019.
    5. Garbero, Alessandra & Songsermsawas, Tisorn, 2016. "Impact of modern irrigation on household production and welfare outcomes: Evidence from the PASIDP project in Ethiopia," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235949, Agricultural and Applied Economics Association.
    6. Neubauer, Florian & Songsermsawas, Tisorn & Kámiche-Zegarra, Joanna & Bravo-Ureta, Boris E., 2022. "Technical efficiency and technological gaps correcting for selectivity bias: Insights from a value chain project in Nepal," Food Policy, Elsevier, vol. 112(C).
    7. Mekonnen, Dawit K. & Dorfman, Jeffrey H., 2017. "Synergy and Learning Effects of Informal Labor-Sharing Arrangements," World Development, Elsevier, vol. 99(C), pages 1-14.
    8. Songsermsawas, Tisorn & Baylis, Kathy & Chhatre, Ashwini & Michelson, Hope & Prasanna, Satya, 2015. "Friends or traders? Do social networks explain the use of market mechanisms by farmers in India," 2015 Conference, August 9-14, 2015, Milan, Italy 211206, International Association of Agricultural Economists.
    9. Conrad Murendo & Meike Wollni & Alan De Brauw & Nicholas Mugabi, 2018. "Social Network Effects on Mobile Money Adoption in Uganda," Journal of Development Studies, Taylor & Francis Journals, vol. 54(2), pages 327-342, February.
    10. Adjognon, Serge & Liverpool-Tasie, Lenis, 2015. "Spatial Neighborhood Effects in Agricultural Technology Adoption: Evidence from Nigeria," 2015 Conference, August 9-14, 2015, Milan, Italy 210934, International Association of Agricultural Economists.
    11. Liverpool-Tasie, Lenis Saweda & Salau, Sheu, 2013. "Spillover effects of targeted subsidies: An assessment of fertilizer and improved seed use in Nigeria," IFPRI discussion papers 1260, International Food Policy Research Institute (IFPRI).
    12. Mekonnen, Dawit K. & Yimam, Seid & Arega, Tiruwork & Matheswaran, Karthikeyan & Schmitter, Petra M.V., 2022. "Relatives, neighbors, or friends: Information exchanges among irrigators on new on-farm water management tools," Agricultural Systems, Elsevier, vol. 203(C).
    13. Le, Thi Quynh Anh & Shimamura, Yasuharu & Yamada, Hiroyuki, 2020. "Information acquisition and the adoption of a new rice variety towards the development of sustainable agriculture in rural villages in Central Vietnam," World Development Perspectives, Elsevier, vol. 20(C).
    14. Lee, Guenwoo & Suzuki, Aya & Nam, Vu Hoang, 2019. "Effect of network-based targeting on the diffusion of good aquaculture practices among shrimp producers in Vietnam," World Development, Elsevier, vol. 124(C), pages 1-1.
    15. Ramirez, Matias & Bernal, Paloma & Clarke, Ian & Hernandez, Ivan, 2018. "The role of social networks in the inclusion of small-scale producers in agri-food developing clusters," Food Policy, Elsevier, vol. 77(C), pages 59-70.
    16. He, Pan & Lovo, Stefania & Veronesi, Marcella, 2022. "Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China," Energy Economics, Elsevier, vol. 106(C).
    17. Tisorn Songsermsawas & Kathy Baylis & Ashwini Chhatre & Hope Michelson, 2014. "Can Peers Improve Agricultural Productivity?," CESifo Working Paper Series 4958, CESifo.
    18. Maertens, Annemie & Wollni, Meike & Wei, Jaizhu & Li, Lingzhi & Zhou, Li, 2023. "Reducing antibiotics: Evidence from an Experiment among Poultry Farmers in China," 2023 Annual Meeting, July 23-25, Washington D.C. 335494, Agricultural and Applied Economics Association.
    19. Songsermsawas, Tisorn & Baylis, Kathy & Chhatre, Ashwini & Michelson, Hope, 2016. "Can Peers Improve Agricultural Revenue?," World Development, Elsevier, vol. 83(C), pages 163-178.
    20. Garbero, A. & Songsermsawas, T., 2018. "IFAD RESEARCH SERIES 31 - Impact of modern irrigation on household production and welfare outcomes: evidence from the participatory small-scale irrigation development programme (PASIDP) project in Eth," IFAD Research Series 280080, International Fund for Agricultural Development (IFAD).
    21. Adjognon, Serge & Liverpool-Tasie, Lenis Saweda O., 2014. "Spatial Dependence in the Adoption of the Urea Deep Placement for Rice Production in Niger State, Nigeria: A Bayesian Spatial Autoregressive Probit Estimation Approach," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170515, Agricultural and Applied Economics Association.
    22. Lee, Guenwoo & Suzuki, Aya & Vu, Hoang Nam, 2018. "Comparison of Targeting Methods for the Diffusion of Farming Practices: Evidence from Shrimp Producers in Viet Nam," 2018 Annual Meeting, August 5-7, Washington, D.C. 274043, Agricultural and Applied Economics Association.

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