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Risk, ambiguity and the adoption of new technologies: experimental evidence from a developing economy

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  • Ross, Nicholas
  • Santos, Paulo
  • Capon, Timothy

Abstract

The slow adoption of innovations in less developed countries has long been a puzzle, given the high expected returns. This paper investigates the role of ambiguity-aversion as a fundamental behavioral determinant of technology adoption, motivated by the fact that, almost by definition, farmers have less certain information about the outcomes of new technologies compared with traditional technologies. Using primary data from field experiments used to measure behavioral parameters such as risk and ambiguity aversion, we find that farmers' aversion to ambiguity (but not risk aversion) limits the adoption of new technologies, even when expected profits are quite high. Interventions that reduce uncertainty (in place of interventions that reduce risk) seem a promising way of speeding up the adoption of innovations.

Suggested Citation

  • Ross, Nicholas & Santos, Paulo & Capon, Timothy, 2012. "Risk, ambiguity and the adoption of new technologies: experimental evidence from a developing economy," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126492, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae12:126492
    DOI: 10.22004/ag.econ.126492
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    Cited by:

    1. Aurélien Baillon & Yoram Halevy & Chen Li, 2022. "Experimental elicitation of ambiguity attitude using the random incentive system," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 1002-1023, June.
    2. Kibet, N. & Obare, G.A. & Lagat, J.K, 2018. "Risk attitude effects on Global-GAP certification decisions by smallholder French bean farmers in Kenya," Journal of Behavioral and Experimental Finance, Elsevier, vol. 18(C), pages 18-29.
    3. Bradford L. Barham & Jean-Paul Chavas & Dylan Fitz & Vanessa Ríos-Salas & Laura Schechter, 2015. "Risk, learning, and technology adoption," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 11-24, January.
    4. Fairley, Kim & Weitzel, Utz, 2017. "Ambiguity and risk measures in the lab and students’ real-life borrowing behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 67(C), pages 85-98.
    5. Nagisa Shiiba & Hide-Fumi Yokoo & Voravee Saengavut & Siraprapa Bumrungkit, 2023. "Ambiguity Aversion And Individual Adaptation To Climate Change: Evidence From A Farmer Survey In Northeastern Thailand," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-29, February.
    6. Annemie Maertens & A. V. Chari & David R. Just, 2014. "Why Farmers Sometimes Love Risks: Evidence from India," Economic Development and Cultural Change, University of Chicago Press, vol. 62(2), pages 239-274.
    7. Erich Renz & Marvin M. Müller & Kim Leonardo Böhm, 2023. "When nudges promote neutral behavior: an experimental study of managerial decisions under risk and uncertainty," Journal of Business Economics, Springer, vol. 93(8), pages 1309-1354, October.
    8. Norton, Benjamin P. & Hoel, Jessica B. & Michelson, Hope, 2020. "The demand for (fake?) fertilizer: Using an experimental auction to examine the role of beliefs on agricultural input demand in Tanzania," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304444, Agricultural and Applied Economics Association.
    9. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    10. Milos Borozan & Loreta Cannito & Barbara Luppi, 2022. "A tale of two ambiguities: A conceptual overview of findings from economics and psychology," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(S1), pages 11-21, July.
    11. Belissa, Temesgen Keno & Lensink, Robert & van Asseldonk, Marcel, 2020. "Risk and ambiguity aversion behavior in index-based insurance uptake decisions: Experimental evidence from Ethiopia," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 718-730.
    12. Crentsil, Christian & Gschwandtner, Adelina & Wahhaj, Zaki, 2020. "The effects of risk and ambiguity aversion on technology adoption: Evidence from aquaculture in Ghana," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 46-68.
    13. Freudenreich, Hanna & Musshoff, Oliver, 2022. "Experience of losses and aversion to uncertainty - experimental evidence from farmers in Mexico," Ecological Economics, Elsevier, vol. 195(C).
    14. Chen Li, 2017. "Are the poor worse at dealing with ambiguity?," Journal of Risk and Uncertainty, Springer, vol. 54(3), pages 239-268, June.
    15. Francesco Cavazza & Francesco Galioto & Meri Raggi & Davide Viaggi, 2020. "Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under Uncertainty," Future Internet, MDPI, vol. 12(11), pages 1-16, October.
    16. Wieliczko, Barbara, 2017. "It is all about the risk – how can an enabling environment for agricultural innovation be created within the Common Agricultural Policy?," Rural Areas and Development, European Rural Development Network (ERDN), vol. 14.
    17. Kaywana Raeburn & Jim Engle-Warnick & Sonia Laszlo & Jian Li, 2016. "Learning in a Bandit Game and Technology Choice," CIRANO Working Papers 2016s-47, CIRANO.
    18. Oechssler, Jörg & Roomets, Alex, 2015. "A test of mechanical ambiguity," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 153-162.
    19. Christoph Bühren & Fabian Meier & Marco Pleßner, 2023. "Ambiguity aversion: bibliometric analysis and literature review of the last 60 years," Management Review Quarterly, Springer, vol. 73(2), pages 495-525, June.
    20. Kaywana Raeburn & Sonia Laszlo & Jim Warnick, 2023. "Resolving ambiguity as a public good: experimental evidence from Guyana," Theory and Decision, Springer, vol. 95(1), pages 79-107, July.

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    Keywords

    International Development; Research and Development/Tech Change/Emerging Technologies; Risk and Uncertainty;
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