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Risk and ambiguity preferences and the adoption of new agricultural technologies: Evidence from field experiments in rural India:

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  • Ward, Patrick S.
  • Singh, Vartika
Abstract
Advances in agricultural development have largely been a direct result of increased usage of new technologies. Among other important factors, farmers’ perceptions of risks associated with the new technology as well as their ability or willingness to take risks greatly influences their adoption decisions. In this paper we conduct a series of field experiments in rural India in order to measure preferences related to risk, potential loss, and ambiguity. Disaggregating by gender, we find that on average women are significantly more risk averse and loss averse than men, though the higher average risk aversion arises due to a greater share of women who are extremely risk averse.

Suggested Citation

  • Ward, Patrick S. & Singh, Vartika, 2014. "Risk and ambiguity preferences and the adoption of new agricultural technologies: Evidence from field experiments in rural India:," IFPRI discussion papers 1324, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1324
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    1. Esther Duflo & Michael Kremer & Jonathan Robinson, 2008. "How High Are Rates of Return to Fertilizer? Evidence from Field Experiments in Kenya," American Economic Review, American Economic Association, vol. 98(2), pages 482-488, May.
    2. Stefan Dercon & Pramila Krishnan, 1996. "Income portfolios in rural Ethiopia and Tanzania: Choices and constraints," Journal of Development Studies, Taylor & Francis Journals, vol. 32(6), pages 850-875.
    3. Pranab K. Bardhan, 1979. "Agricultural Development and Land Tenancy in a Peasant Economy: A Theoretical and Empirical Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(1), pages 48-57.
    4. Hans P. Binswanger, 1980. "Attitudes Toward Risk: Experimental Measurement in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 395-407.
    5. de Brauw, Alan & Eozenou, Patrick, 2014. "Measuring risk attitudes among Mozambican farmers," Journal of Development Economics, Elsevier, vol. 111(C), pages 61-74.
    6. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    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. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    9. Jean-Paul Chavas & Matthew T. Holt, 1990. "Acreage Decisions Under Risk: The Case of Corn and Soybeans," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 529-538.
    10. Holt, Matthew T. & Moschini, GianCarlo, 1992. "Alternative Measures Of Risk In Commodity Supply Models: An Analysis Of Sow Farrowing Decisions In The United States," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(1), pages 1-12, July.
    11. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    12. GlennW. Harrison & StevenJ. Humphrey & Arjan Verschoor, 2010. "Choice under Uncertainty: Evidence from Ethiopia, India and Uganda," Economic Journal, Royal Economic Society, vol. 120(543), pages 80-104, March.
    13. Rigotti, Luca & Ryan, Matthew & Vaithianathan, Rema, 2001. "Entrepreneurial Innovation," Department of Economics, Working Paper Series qt508109h4, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    14. Charness, Gary & Viceisza, Angelino, 2011. "Comprehension and risk elicitation in the field: Evidence from rural Senegal," IFPRI discussion papers 1135, International Food Policy Research Institute (IFPRI).
    15. Chavas, Jean-Paul & Holt, Matthew T, 1996. "Economic Behavior under Uncertainty: A Joint Analysis of Risk Preferences and Technology," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 329-335, May.
    16. Ruth Vargas Hill, 2009. "Using Stated Preferences and Beliefs to Identify the Impact of Risk on Poor Households," Journal of Development Studies, Taylor & Francis Journals, vol. 45(2), pages 151-171.
    17. Foster, Andrew D & Rosenzweig, Mark R, 1996. "Technical Change and Human-Capital Returns and Investments: Evidence from the Green Revolution," American Economic Review, American Economic Association, vol. 86(4), pages 931-953, September.
    18. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    19. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    20. Feder, Gershon, 1980. "Farm Size, Risk Aversion and the Adoption of New Technology under Uncertainty," Oxford Economic Papers, Oxford University Press, vol. 32(2), pages 263-283, July.
    21. Yoram Halevy, 2007. "Ellsberg Revisited: An Experimental Study," Econometrica, Econometric Society, vol. 75(2), pages 503-536, March.
    22. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
    23. Sachiko Miyata, 2003. "Household's risk attitudes in Indonesian villages," Applied Economics, Taylor & Francis Journals, vol. 35(5), pages 573-583.
    24. Antle, John M, 1983. "Testing the Stochastic Structure of Production: A Flexible Moment-based Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(3), pages 192-201, July.
    25. 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.
    26. John M. Antle, 1989. "Nonstructural Risk Attitude Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 774-784.
    27. Lipton, Michael, 1976. "Agricultural finance and rural credit in poor countries," World Development, Elsevier, vol. 4(7), pages 543-553, July.
    28. Pandey, S. & Bhandari, H. & Hardy, B., 2007. "Economic Costs of Drought and Rice Farmers’ Coping Mechanisms: A Cross-Country Comparative Analysis," IRRI Books, International Rice Research Institute (IRRI), number 281814.
    29. Jim Engle-Warnick & Javier Escobal & Sonia Laszlo, 2007. "Ambiguity Aversion as a Predictor of Technology Choice: Experimental Evidence from Peru," CIRANO Working Papers 2007s-01, CIRANO.
    30. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    31. Sandmo, Agnar, 1971. "On the Theory of the Competitive Firm under Price Uncertainty," American Economic Review, American Economic Association, vol. 61(1), pages 65-73, March.
    32. Richard E. Just & Rulon D. Pope, 1979. "Production Function Estimation and Related Risk Considerations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 276-284.
    33. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    34. Mette Wik & Tewodros Aragie Kebede & Olvar Bergland & Stein Holden, 2004. "On the measurement of risk aversion from experimental data," Applied Economics, Taylor & Francis Journals, vol. 36(21), pages 2443-2451.
    35. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
    36. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    37. Glenn Harrison & E. Rutström, 2009. "Expected utility theory and prospect theory: one wedding and a decent funeral," Experimental Economics, Springer;Economic Science Association, vol. 12(2), pages 133-158, June.
    38. Elaine Meichen Liu, 2008. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," Working Papers 1064, Princeton University, Department of Economics, Industrial Relations Section..
    39. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
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    2. Alvarado, E. & Ibanez, M. & Brummer, B., 2018. "Understanding how risk preferences and social capital affect farmers’ behavior to anticipatory and reactive adaptation options to climate change: the case of vineyard farmers in central Chile," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275978, International Association of Agricultural Economists.
    3. Kanchan Joshi & Thiagu Ranganathan & Ram Ranjan, 2021. "Exploring Higher Order Risk Preferences of Farmers in a Water-Scarce Region: Evidence from a Field Experiment in West Bengal, India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 317-344, June.
    4. Toritseju Begho, 2021. "Using Farmers’ Risk Tolerance to Explain Variations in Adoption of Improved Rice Varieties in Nepal," Journal of South Asian Development, , vol. 16(2), pages 171-193, August.
    5. Kebede, Bereket & Zizzo, Daniel John, 2015. "Social Preferences and Agricultural Innovation: An Experimental Case Study from Ethiopia," World Development, Elsevier, vol. 67(C), pages 267-280.
    6. Jumare, Hafsah & Visser, Martine & Brick, Kerri, 2017. "Risk Preferences and the Poverty Trap: A Look at Farm Technology Uptake amongst Smallholder Farmers in the Matzikama Municipality," EfD Discussion Paper 17-14, Environment for Development, University of Gothenburg.
    7. Omotuyole Isiaka Ambali & Francisco Jose Areal & Nikolaos Georgantzis, 2021. "On Spatially Dependent Risk Preferences: The Case of Nigerian Farmers," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    8. Suzuki, Aya, 2014. "Risk on Dynamic Behavior of Farmers in the Export Market: A Case from the Pineapple Industry in Ghana," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170665, Agricultural and Applied Economics Association.
    9. Visser, Martine & Jumare, Hafsah & Brick, Kerri, 2020. "Risk preferences and poverty traps in the uptake of credit and insurance amongst small-scale farmers in South Africa," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 826-836.
    10. Ward, Patrick S. & Ortega, David L. & Spielman, David J. & Singh, Vartika & Magnan, Nicholas, 2013. "Farmer Preferences for Abiotic Stress Tolerance in Hybrid versus Inbred Rice: Evidence from Bihar, India," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150786, Agricultural and Applied Economics Association.

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    More about this item

    Keywords

    Technology adoption; rural population; Agricultural technology; uncertainty; propect theory;
    All these keywords.

    JEL classification:

    • 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
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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