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Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China

Author

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  • Elaine M. Liu

    (Princeton University)

Abstract

The slow diffusion of new technology in the agricultural sector of developing countries has long puzzled development economists. While most of the current empirical research on technology adoption focuses on credit constraints and learning spillovers, this paper examines the role of individual risk attitudes in the decision to adopt a new form of agricultural biotechnology in China. I conducted a survey and a field experiment to elicit the risk preferences of 320 Chinese farmers, who faced the decision of whether to adopt genetically modified Bt cotton a decade ago. Bt cotton is more effective in pest prevention and thus requires less pesticides than traditional cotton. In my analysis, I expand the measurement of risk preferences beyond expected utility theory to incorporate prospect theory parameters such as loss aversion and nonlinear probability weighting. Using the parameters elicited from the experiment, I find that farmers who are more risk averse or more loss averse adopt Bt cotton later. Farmers who overweight small probabilities adopt Bt cotton earlier.

Suggested Citation

  • Elaine M. 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..
  • Handle: RePEc:pri:indrel:526
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    1. 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.
    2. 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.
    3. Just, Richard E & Zilberman, David, 1983. "Stochastic Structure, Farm Size and Technology Adoption in Developing Agriculture," Oxford Economic Papers, Oxford University Press, vol. 35(2), pages 307-328, July.
    4. 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.
    5. Knetsch, Jack L, 1989. "The Endowment Effect and Evidence of Nonreversible Indifference Curves," American Economic Review, American Economic Association, vol. 79(5), pages 1277-1284, December.
    6. Dean S. Karlan, 2005. "Using Experimental Economics to Measure Social Capital and Predict Financial Decisions," American Economic Review, American Economic Association, vol. 95(5), pages 1688-1699, December.
    7. Ernst Fehr & Lorenz Goette, 2007. "Do Workers Work More if Wages Are High? Evidence from a Randomized Field Experiment," American Economic Review, American Economic Association, vol. 97(1), pages 298-317, March.
    8. Qaim, Matin & Virchow, Detlef, 2000. "The Role of Biotechnology for Global Food Security," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 49(09-10).
    9. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Juergen Schupp & Gert Wagner, 2005. "Individual Risk Attitudes: New Evidence from a Large, Representative, Experimentally-Validated Survey," Working Papers 2096, The Field Experiments Website.
    10. 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.
    11. repec:pri:rpdevs:gamespaper.pdf is not listed on IDEAS
    12. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    13. Timothy H. Hannan & John M. McDowell, 1984. "The Determinants of Technology Adoption: The Case of the Banking Firm," RAND Journal of Economics, The RAND Corporation, vol. 15(3), pages 328-335, Autumn.
    14. Gin, Xavier & Yang, Dean, 2009. "Insurance, credit, and technology adoption: Field experimental evidencefrom Malawi," Journal of Development Economics, Elsevier, vol. 89(1), pages 1-11, May.
    15. Michael Lipton, 2001. "Reviving global poverty reduction: what role for genetically modified plants?," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(7), pages 823-846.
    16. Antle, John M. & Havenner, Arthur, 1983. "Formulating And Estimating Dynamic Stochastic Production Models," Working Papers 225711, University of California, Davis, Department of Agricultural and Resource Economics.
    17. Nava Ashraf & Dean Karlan & Wesley Yin, 2006. "Tying Odysseus to the Mast: Evidence From a Commitment Savings Product in the Philippines," The Quarterly Journal of Economics, Oxford University Press, vol. 121(2), pages 635-672.
    18. Camerer, Colin F & Ho, Teck-Hua, 1994. "Violations of the Betweenness Axiom and Nonlinearity in Probability," Journal of Risk and Uncertainty, Springer, vol. 8(2), pages 167-196, March.
    19. 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.
    20. Tomomi Tanaka & Colin F Camerer & Quang Nguyen, 2006. "Poverty, politics, and preferences: Field Experiments and survey data from Vietnam," Levine's Bibliography 122247000000001099, UCLA Department of Economics.
    21. George Wu & Richard Gonzalez, 1996. "Curvature of the Probability Weighting Function," Management Science, INFORMS, vol. 42(12), pages 1676-1690, December.
    22. 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.
    23. Kahneman, Daniel & Knetsch, Jack L & Thaler, Richard H, 1990. "Experimental Tests of the Endowment Effect and the Coase Theorem," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1325-1348, December.
    24. John M. Antle, 1987. "Econometric Estimation of Producers' Risk Attitudes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(3), pages 509-522.
    25. Douglas L. Young, 1979. "Risk Preferences of Agricultural Producers: Their Use in Extension and Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 1063-1070.
    26. Tavneet Suri, 2006. "Selection and Comparative Advantage in Technology Adoption," Working Papers 944, Economic Growth Center, Yale University.
    27. John K. Horowitz & Erik Lichtenberg, 1993. "Insurance, Moral Hazard, and Chemical Use in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 926-935.
    28. Daniel J. Benjamin & Sebastian A. Brown & Jesse M. Shapiro, 2013. "Who Is ‘Behavioral’? Cognitive Ability And Anomalous Preferences," Journal of the European Economic Association, European Economic Association, vol. 11(6), pages 1231-1255, December.
    29. Huang, Jikun & Hu, Ruifa & van Meijl, Hans & van Tongeren, Frank, 2004. "Biotechnology boosts to crop productivity in China: trade and welfare implications," Journal of Development Economics, Elsevier, vol. 75(1), pages 27-54, October.
    30. Andre Croppenstedt & Mulat Demeke & Meloria M. Meschi, 2003. "Technology Adoption in the Presence of Constraints: the Case of Fertilizer Demand in Ethiopia," Review of Development Economics, Wiley Blackwell, vol. 7(1), pages 58-70, February.
    31. Huang, Jikun & Hu, Ruifa & Rozelle, Scott & Qiao, Fangbin & Pray, Carl E., 2002. "Transgenic varieties and productivity of smallholder cotton farmers in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 46(3), pages 1-21.
    32. Camerer, Colin F, 1989. "An Experimental Test of Several Generalized Utility Theories," Journal of Risk and Uncertainty, Springer, vol. 2(1), pages 61-104, April.
    33. John Knight & Sharada Weir & Tassew Woldehanna, 2003. "The role of education in facilitating risk-taking and innovation in agriculture," Journal of Development Studies, Taylor & Francis Journals, vol. 39(6), pages 1-22.
    34. repec:pri:rpdevs:gamespaper is not listed on IDEAS
    35. Edgardo Moscardi & Alain de Janvry, 1977. "Attitudes Toward Risk Among Peasants: An Econometric Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(4), pages 710-716.
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    More about this item

    Keywords

    technology adoption; risk preferences; prospect theory;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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