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Autonomy and Specificity in Agricultural Technology Adoption : Evidence from Mexico

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  • Corral,Carolina
  • Gine,Xavier
  • Mahajan,Aprajit
  • Seira,Enrique

Abstract

This paper explores heterogeneity in soil quality, lack of knowledge, and autonomy as explanations for the low adoption of improved agricultural practices. The paper uses data from a randomized field experiment that combined localized soil analyses, tailored input recommendations, extension services, and an in-kind grant. The analysis finds that while neither the degree of recommendation specificity (plot versus cluster level) nor the extent of autonomy (defined as the freedom of choice in spending the in-kind grant) had any effect on adoption during the intervention, farmers with autonomy had substantially higher adoption of improved practices two years after the intervention ended.

Suggested Citation

  • Corral,Carolina & Gine,Xavier & Mahajan,Aprajit & Seira,Enrique, 2020. "Autonomy and Specificity in Agricultural Technology Adoption : Evidence from Mexico," Policy Research Working Paper Series 9367, The World Bank.
    • Handle: RePEc:wbk:wbrwps:9367
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    References listed on IDEAS

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    1. Dean Karlan & Robert Osei & Isaac Osei-Akoto & Christopher Udry, 2014. "Agricultural Decisions after Relaxing Credit and Risk Constraints," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 597-652.
    2. Kondylis, Florence & Mueller, Valerie & Zhu, Jessica, 2017. "Seeing is believing? Evidence from an extension network experiment," Journal of Development Economics, Elsevier, vol. 125(C), pages 1-20.
    3. Karen Macours, 2019. "Farmers’ Demand and the Traits and Diffusion of Agricultural Innovations in Developing Countries," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 483-499, October.
    4. Aparajita Goyal & John Nash, 2017. "Reaping Richer Returns [Obtenir de meilleurs résultats]," World Bank Publications - Books, The World Bank Group, number 25996, December.
    5. Rachid Laaja & Karen Macours, 2021. "Measuring Skills in Developing Countries," Journal of Human Resources, University of Wisconsin Press, vol. 56(4), pages 1254-1295.
    6. T.S. Jayne & Shahidur Rashid, 2013. "Input subsidy programs in sub-Saharan Africa: a synthesis of recent evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 44(6), pages 547-562, November.
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    Cited by:

    1. Harou, Aurélie P. & Madajewicz, Malgosia & Michelson, Hope & Palm, Cheryl A. & Amuri, Nyambilila & Magomba, Christopher & Semoka, Johnson M. & Tschirhart, Kevin & Weil, Ray, 2022. "The joint effects of information and financing constraints on technology adoption: Evidence from a field experiment in rural Tanzania," Journal of Development Economics, Elsevier, vol. 155(C).
    2. Prahlad Lamichhane & Michalis Hadjikakou & Kelly K. Miller & Brett A. Bryan, 2022. "Climate change adaptation in smallholder agriculture: adoption, barriers, determinants, and policy implications," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(6), pages 1-24, August.
    3. Mohamed Abouaziza, 2022. "Farmer constraints and relational contracts: evidence from agricultural value chains in East Africa," Economics PhD Theses 0122, Department of Economics, University of Sussex Business School.
    4. Berazneva, Julia & Maertens, Annemie & Mhango, Wezi & Michelson, Hope, 2023. "Paying for agricultural information in Malawi: The role of soil heterogeneity," Journal of Development Economics, Elsevier, vol. 165(C).
    5. Prahlad Lamichhane & Michalis Hadjikakou & Kelly K. Miller & Brett A. Bryan, 2022. "Climate change adaptation in smallholder agriculture: adoption, barriers, determinants, and policy implications," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(5), pages 1-24, June.

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