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Learning about Farming: Innovation and Social Networks in a Resettled Community in Brazil

Author

Listed:
  • Comola, Margherita

    (Paris School of Economics)

  • Inguaggiato, Carla

    (University of Bern)

  • Mendola, Mariapia

    (University of Milan Bicocca)

Abstract

We study the role of social learning in the diffusion of cash crops in a resettled village economy in northeastern Brazil. We combine detailed geo-coded data on farming plots with dyadic data on social ties among settlers, and we leverage natural exogenous variation in network formation induced by the land occupation movement and the agrarian reform. By using longitudinal data on farming decisions over 15 years we find consistent evidence of significant peer effects in the decision to farm new cash fruits (pineapple and passion fruit). Our results suggest that social diffusion is heterogeneous along observed plot and crop characteristics, i.e. farmers growing water-sensitive crop are more likely to respond to the actions of peers with similar water access conditions.

Suggested Citation

  • Comola, Margherita & Inguaggiato, Carla & Mendola, Mariapia, 2021. "Learning about Farming: Innovation and Social Networks in a Resettled Community in Brazil," IZA Discussion Papers 14092, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp14092
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    References listed on IDEAS

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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. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    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. Marcel Fafchamps & Simon Quinn, 2018. "Networks and Manufacturing Firms in Africa: Results from a Randomized Field Experiment," The World Bank Economic Review, World Bank, vol. 32(3), pages 656-675.
    5. Marcel Fafchamps & Måns Söderbom, 2014. "Network Proximity and Business Practices in African Manufacturing," World Bank Economic Review, World Bank Group, vol. 28(1), pages 99-129.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Jose Funes & Laixiang Sun & Fernando Sedano & Giovanni Baiocchi & Todd Benson, 2022. "Social interaction and geographic diffusion of iron‐biofortified beans in Rwanda," Agricultural Economics, International Association of Agricultural Economists, vol. 53(4), pages 503-528, July.

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    More about this item

    Keywords

    peer effects; social networks; agrarian reform; technology adoption; Brazil;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

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