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Increasing the adoption of conservation agriculture: A framed field experiment in Northern Ghana

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  • Kate Ambler
  • Alan de Brauw
  • Mike Murphy

Abstract

Conservation agriculture techniques have the potential to increase agricultural production while decreasing CO2 emissions, yet adoption in the developing world remains low—in part because many years of continuous adoption may be required to realize gains in production. We conduct a framed field experiment in northern Ghana to study how incentives and peer information may affect adoption. Incentives increase adoption, both while they are available and after withdrawal. There is no overall effect of peer information, but we do find evidence that information about long‐term adoption increased adoption, particularly when that information shows that yield gains have been achieved.

Suggested Citation

  • Kate Ambler & Alan de Brauw & Mike Murphy, 2023. "Increasing the adoption of conservation agriculture: A framed field experiment in Northern Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 54(5), pages 742-756, September.
    • Handle: RePEc:bla:agecon:v:54:y:2023:i:5:p:742-756
    DOI: 10.1111/agec.12797
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    1. 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.
    2. Ambler, Kate & Godlonton, Susan & Recalde, María P., 2021. "Follow the leader? A field experiment on social influence," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1280-1297.
    3. Michael Carter & Rachid Laajaj & Dean Yang, 2021. "Subsidies and the African Green Revolution: Direct Effects and Social Network Spillovers of Randomized Input Subsidies in Mozambique," American Economic Journal: Applied Economics, American Economic Association, vol. 13(2), pages 206-229, April.
    4. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    5. 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.
    6. Paswel Marenya & Vincent H. Smith & Ephraim Nkonya, 2014. "Relative Preferences for Soil Conservation Incentives among Smallholder Farmers: Evidence from Malawi," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(3), pages 690-710.
    7. 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.
    8. Paulina Oliva & B. Kelsey Jack & Samuel Bell & Elizabeth Mettetal & Christopher Severen, 2020. "Technology Adoption under Uncertainty: Take-Up and Subsequent Investment in Zambia," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 617-632, July.
    9. Alvaro Carril, 2017. "Dealing with misfits in random treatment assignment," Stata Journal, StataCorp LP, vol. 17(3), pages 652-667, September.
    10. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, Decembrie.
    11. Ariel BenYishay & A Mushfiq Mobarak, 2019. "Social Learning and Incentives for Experimentation and Communication," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 976-1009.
    12. Knowler, Duncan & Bradshaw, Ben, 2007. "Farmers' adoption of conservation agriculture: A review and synthesis of recent research," Food Policy, Elsevier, vol. 32(1), pages 25-48, February.
    13. 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.
    14. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    15. Tjernström, Emilia & Lybbert, Travis J. & Hernández, Rachel Frattarola & Correa, Juan Sebastian, 2021. "Learning by (virtually) doing: Experimentation and belief updating in smallholder agriculture," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 28-50.
    16. Michler, Jeffrey D. & Baylis, Kathy & Arends-Kuenning, Mary & Mazvimavi, Kizito, 2019. "Conservation agriculture and climate resilience," Journal of Environmental Economics and Management, Elsevier, vol. 93(C), pages 148-169.
    17. Milkman, Katherine L. & Beshears, John, 2009. "Mental accounting and small windfalls: Evidence from an online grocer," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 384-394, August.
    18. Alpizar, Francisco & Carlsson, Fredrik & Naranjo, Maria A., 2011. "The effect of ambiguous risk, and coordination on farmers' adaptation to climate change — A framed field experiment," Ecological Economics, Elsevier, vol. 70(12), pages 2317-2326.
    19. Schaafsma, Marije & Ferrini, Silvia & Turner, R. Kerry, 2019. "Assessing smallholder preferences for incentivised climate-smart agriculture using a discrete choice experiment," Land Use Policy, Elsevier, vol. 88(C).
    20. Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 1998. "Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 151-170, Summer.
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