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The network at work: Diffusion of banana cultivation in Tanzania

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  • Anna Folke Larsen

    (Department of Economics, University of Copenhagen)

Abstract

This paper investigates the role of networks for diffusion of improved banana cultivation introduced by an agricultural project in Tanzania. In the existing literature on networks and technology adoption, network effects are interpreted as learning. I show that a farmer's network can affect the adoption of a new crop not only through social learning, but also by providing necessary inputs for adoption. I set up a simple model for adoption and derive similar model implications for the provision of either inputs or information through the network. Empirically, I find that a farmer is 37 percentage points more likely to adopt banana cultivation if there is at least one project participant growing bananas in the farmer's network. I use three falsication tests to support causal interpretation of the network effect on adoption. Provision of inputs (banana seedlings) through networks is found to play an important role for the network effects found.

Suggested Citation

  • Anna Folke Larsen, 2015. "The network at work: Diffusion of banana cultivation in Tanzania," CAM Working Papers camwp2015_01, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
  • Handle: RePEc:kud:kuieca:camwp2015_01
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    References listed on IDEAS

    as
    1. Davis, K. & Nkonya, E. & Kato, E. & Mekonnen, D.A. & Odendo, M. & Miiro, R. & Nkuba, J., 2012. "Impact of Farmer Field Schools on Agricultural Productivity and Poverty in East Africa," World Development, Elsevier, vol. 40(2), pages 402-413.
    2. Michael R. Carter & Rachid Laajaj & Dean Yang, 2014. "Subsidies and the Persistence of Technology Adoption: Field Experimental Evidence from Mozambique," NBER Working Papers 20465, National Bureau of Economic Research, Inc.
    3. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    4. Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, January.
    5. Michael Kremer & Edward Miguel, 2007. "The Illusion of Sustainability," The Quarterly Journal of Economics, Oxford University Press, vol. 122(3), pages 1007-1065.
    6. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    7. 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.
    8. Bekele A. Shiferaw & Tewodros A. Kebede & Liang You, 2008. "Technology adoption under seed access constraints and the economic impacts of improved pigeonpea varieties in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 39(3), pages 309-323, November.
    9. 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.
    10. Magnan, Nicholas & Spielman, David J. & Gulati, Kajal & Lybbert, Travis, 2015. "Information Networks among Women and Men and the Demand for an Agricultural Technology in India," 2015 Conference, August 9-14, 2015, Milan, Italy 212209, International Association of Agricultural Economists.
    11. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    12. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
    13. Brock, William A. & Durlauf, Steven N., 2007. "Identification of binary choice models with social interactions," Journal of Econometrics, Elsevier, vol. 140(1), pages 52-75, September.
    14. Abhijit Banerjee & Arun G. Chandrasekhar & Esther Duflo & Matthew O. Jackson, 2014. "Gossip: Identifying Central Individuals in a Social Network," NBER Working Papers 20422, National Bureau of Economic Research, Inc.
    15. Saha Atanu & H. Alan Love & Robert Schwart, 1994. "Adoption of Emerging Technologies Under Output Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 836-846.
    16. Pramila Krishnan & Manasa Patnam, 2014. "Neighbors and Extension Agents in Ethiopia: Who Matters More for Technology Adoption?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 308-327.
    17. Jing Cai & Alain De Janvry & Elisabeth Sadoulet, 2015. "Social Networks and the Decision to Insure," American Economic Journal: Applied Economics, American Economic Association, vol. 7(2), pages 81-108, April.
    18. Dunstan Spencer, 1996. "Infrastructure and Technology Constraints to Agricultural Development in the Humid and Subhumid Tropics of Africa," African Development Review, African Development Bank, vol. 8(2), pages 68-93.
    19. 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.
    20. Besley, Timothy & Case, Anne, 1993. "Modeling Technology Adoption in Developing Countries," American Economic Review, American Economic Association, vol. 83(2), pages 396-402, May.
    21. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, Oxford University Press, vol. 107(3), pages 797-817.
    22. Lybbert, Travis J. & Sumner, Daniel A., 2012. "Agricultural technologies for climate change in developing countries: Policy options for innovation and technology diffusion," Food Policy, Elsevier, vol. 37(1), pages 114-123.
    23. Katleen Van den Broeck & Stefan Dercon, 2011. "Information Flows and Social Externalities in a Tanzanian Banana Growing Village," Journal of Development Studies, Taylor & Francis Journals, vol. 47(2), pages 231-252.
    24. 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.
    25. Diao, Xinshen & Hazell, Peter & Thurlow, James, 2010. "The Role of Agriculture in African Development," World Development, Elsevier, vol. 38(10), pages 1375-1383, October.
    26. 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.
    27. Annemie Maertens & Christopher B. Barrett, 2013. "Measuring Social Networks' Effects on Agricultural Technology Adoption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 353-359.
    28. Larsen, Anna Folke & Lilleør, Helene Bie, 2014. "Beyond the Field: The Impact of Farmer Field Schools on Food Security and Poverty Alleviation," World Development, Elsevier, vol. 64(C), pages 843-859.
    29. Christiaensen, Luc & Demery, Lionel & Kuhl, Jesper, 2011. "The (evolving) role of agriculture in poverty reduction--An empirical perspective," Journal of Development Economics, Elsevier, vol. 96(2), pages 239-254, November.
    30. Bardhan, Pranab & Udry, Christopher, 1999. "Development Microeconomics," OUP Catalogue, Oxford University Press, number 9780198773719.
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    More about this item

    Keywords

    Technology adoption; networks; agriculture; Tanzania; Africa;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • 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
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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