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Farmer Preferences for Abiotic Stress Tolerance in Hybrid versus Inbred Rice: Evidence from Bihar, India

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  • Ward, Patrick S.
  • Ortega, David L.
  • Spielman, David J.
  • Singh, Vartika
  • Magnan, Nicholas

Abstract

Recent efforts to develop rice cultivars with drought-tolerance (DT) traits have resulted in the release of several varieties that demonstrate significant resiliency to drought stresses. In this paper, we use discrete choice experiments to examine farmers’ preferences for DT traits and explore heterogeneity in these preferences using primary data collected in rural Bihar, India. We evaluate farmers’ preference for yield performance under different weather scenarios, duration, seed reusability and seeding rate. Our results show that farmers value the reduction in yield variability offered by DT cultivars, but are willing to pay even more for cultivars that offer yield advantages even under normal conditions. Rice farmers were found to prefer short duration cultivars, which provide an alternative pathway by which farmers can manage drought risk. Finally, we find that farmers highly value seed-reusability, and would, other things equal, demand a discount on hybrid seeds that do not have this characteristic.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:aaea13:150786
    DOI: 10.22004/ag.econ.150786
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    as
    1. Pilar Useche & Bradford L. Barham & Jeremy D. Foltz, 2013. "Trait-based Adoption Models Using Ex-Ante and Ex-Post Approaches," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 332-338.
    2. David L. Ortega & H. Holly Wang & Nicole J. Olynk & Laping Wu & Junfei Bai, 2012. "Chinese Consumers' Demand for Food Safety Attributes: A Push for Government and Industry Regulations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(2), pages 489-495.
    3. 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.
    4. Li, Jiming & Xin, Yeyun & Yuan, Longping, 2009. "Hybrid rice technology development: Ensuring China's food security," IFPRI discussion papers 918, International Food Policy Research Institute (IFPRI).
    5. Lybbert, Travis J., 2006. "Indian farmers' valuation of yield distributions: Will poor farmers value `pro-poor' seeds?," Food Policy, Elsevier, vol. 31(5), pages 415-441, October.
    6. Lee L. Schulz & Glynn T. Tonsor, 2010. "Cow‐Calf Producer Preferences for Voluntary Traceability Systems," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 138-162, February.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    8. Ubilava, David & Foster, Kenneth, 2009. "Quality certification vs. product traceability: Consumer preferences for informational attributes of pork in Georgia," Food Policy, Elsevier, vol. 34(3), pages 305-310, June.
    9. Mottaleb, Khondoker A. & Rejesus, Roderick M. & Mohanty, Samarendu & Murty, M.V.R. & Li, Tao & Valera, Harold Glenn & Gumma, Murali Krishna, 2012. "Ex Ante Impact Assessment of a Drought Tolerant Rice Variety in the Presence of Climate Change," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124745, Agricultural and Applied Economics Association.
    10. Kolady, Deepthi & Lesser, William H., 2006. "Is it Feasible to Provide Genetically Modified Crops to Small Farmers on Preferential Terms? : An Ex Ante Analysis of Bt Eggplant in India," 2006 Annual meeting, July 23-26, Long Beach, CA 21130, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Boxall, Peter C. & Adamowicz, Wiktor L. & Swait, Joffre & Williams, Michael & Louviere, Jordan, 1996. "A comparison of stated preference methods for environmental valuation," Ecological Economics, Elsevier, vol. 18(3), pages 243-253, September.
    12. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    13. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    14. Sergio Colombo & Nick Hanley & Jordan Louviere, 2009. "Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 307-322, May.
    15. 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.
    16. Jayson L. Lusk & F. Bailey Norwood & J. Ross Pruitt, 2006. "Consumer Demand for a Ban on Antibiotic Drug Use in Pork Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 1015-1033.
    17. Loureiro, Maria L. & Umberger, Wendy J., 2007. "A choice experiment model for beef: What US consumer responses tell us about relative preferences for food safety, country-of-origin labeling and traceability," Food Policy, Elsevier, vol. 32(4), pages 496-514, August.
    18. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    19. Ward, Patrick S. & Singh, Vartika, 2013. "Risk and Ambiguity Preferences and the Adoption of New Agricultural Technologies: Evidence from Field Experiments in Rural India," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150794, Agricultural and Applied Economics Association.
    20. Adamowicz W. & Louviere J. & Williams M., 1994. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 271-292, May.
    21. Nicole J. Olynk & Christopher A. Wolf & Glynn T. Tonsor, 2012. "Production technology option value: the case of rbST in Michigan," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 1-9, November.
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    Cited by:

    1. World Bank Group, 2014. "Republic of India : Accelerating Agricultural Productivity Growth," World Bank Publications - Reports 21419, The World Bank Group.
    2. Kehinde, M. O. & Shittu, A. M. & Osunsina, I. O. O., 2019. "Willingness to Accept Incentives for a Shift to Climate-Smart Agriculture among Lowland Rice Farmers in Nigeria," Nigerian Journal of Agricultural Economics, Nigerian Journal of Agricultural Economics, vol. 9(1), October.
    3. Raghu, Prabhakaran T & Das, Sukanya & Veettil, Prakashan Chellattan, 2021. "Smallholder Adaptation to Flood Risks: Adoption and Impact of Swarna-Sub1 in Eastern India," 2021 Conference, August 17-31, 2021, Virtual 315867, International Association of Agricultural Economists.

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    Keywords

    Agribusiness; Institutional and Behavioral Economics; International Development; International Relations/Trade; Research and Development/Tech Change/Emerging Technologies;
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