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Has Technology Increased Agricultural Yield Risk? Evidence from the Crop Insurance Biotech Endorsement

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  • Barry K. Goodwin
  • Nicholas E. Piggott

Abstract

The conventional wisdom that technological advances in seed breeding and genetic modification of corn traits have lowered yield risk has recently been challenged by research that argues that the converse is true. The implications of this research have been applied to models of climate change and have led to the conclusion that these advances have actually increased agronomic risk, such that climate change is asserted to raise important concerns regarding the stability and viability of agricultural output in the future. In a large body of empirical work, the argument is based upon assertions that corn yields have become more sensitive to weather stresses. This increased sensitivity has coincided with the introduction of a variety of genetically engineered (GE) crops in the 1990s and 2000s. We use corn yields and data from the US federal crop insurance program to evaluate these claims. An initial examination of yield responses to droughts in 1988 and 2012 suggests more robust yields in the latter period, in spite of very comparable weather stresses. We next consider side‐by‐side data collected under the Biotech Endorsement (BE) to the federal crop insurance program between 2008 and 2011. This endorsement provided substantial discounts for growers using certain GE hybrids, reflecting policymakers' beliefs that these hybrids had lower yield risk. We find that risk, as measured by the rate of indemnities paid per units insured, was significantly lower for crops insured under the BE. We also find that the difference in risk tends to be greater when growing conditions are less favorable.

Suggested Citation

  • Barry K. Goodwin & Nicholas E. Piggott, 2020. "Has Technology Increased Agricultural Yield Risk? Evidence from the Crop Insurance Biotech Endorsement," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1578-1597, October.
  • Handle: RePEc:wly:ajagec:v:102:y:2020:i:5:p:1578-1597
    DOI: 10.1002/ajae.12087
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    References listed on IDEAS

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    Cited by:

    1. Erin Sumner & Minghao Li & Yau‐Huo (Jimmy) Shr, 2026. "Is yield response enough? Drought impacts on crop acreage throughout the production cycle," American Journal of Agricultural Economics, John Wiley & Sons, vol. 108(2), pages 542-565, March.
    2. Zheng Li & Roderick M. Rejesus & Xiaoyong Zheng, 2021. "Nonparametric Estimation and Inference of Production Risk," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1857-1877, October.
    3. Serkan Aglasan & Roderick M. Rejesus & Maria Bowman & Barry K. Goodwin, 2026. "Do Cover Crops Reduce Downside Production Risk?," Agricultural Economics, International Association of Agricultural Economists, vol. 57(1), January.
    4. repec:ags:aaea22:343758 is not listed on IDEAS
    5. Jisang Yu & Edward D. Perry, 2024. "Premium subsidies and selection in the federal crop insurance program," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 280-297, February.
    6. Zhang, Jingfang & Malikov, Emir & Miao, Ruiqing & Ghosh, Prasenjit N., 2024. "Geography of Climate Change Adaptation in U.S. Agriculture: Evidence from Spatially Varying Long-Differences Approach," 2024 Annual Meeting, July 28-30, New Orleans, LA 343758, Agricultural and Applied Economics Association.
    7. Aglasan, Serkan & Rejesus, Roderick M., 2022. "Do Cover Crops Reduce Production Risk?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 324776, Agricultural and Applied Economics Association.
    8. Du, Xiaodong & Hennessy, David A., 2025. "Yield Effects of Bt Trait: Evidence from the Biotech Endorsement Program," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 360949, Agricultural and Applied Economics Association.
    9. Liu, Ziheng, 2025. "CO2-driven crop comparative advantage and planting decision: Evidence from US cropland," Food Policy, Elsevier, vol. 130(C).
    10. Serkan Aglasan & Barry K. Goodwin & Roderick M. Rejesus, 2023. "Risk effects of GM corn: Evidence from crop insurance outcomes and high‐dimensional methods," Agricultural Economics, International Association of Agricultural Economists, vol. 54(1), pages 110-126, January.
    11. Rolando Gonzales & Bert D’Espallier & Roy Mersland, 2021. "What Drives Profits in Savings Groups? Bayesian Data Mining Evidence from the SAVIX Database," Review of Development Finance Journal, Chartered Institute of Development Finance, vol. 11(2), pages 39-57.
    12. Youngho Kim, 2024. "Payments for Ecosystem Services Programs and Climate Change Adaptation in Agriculture," Economics Series Working Papers 1054, University of Oxford, Department of Economics.
    13. Ye, Ziwei & Hennessy, David A. & Wu, Felicia & Krupke, Christian H., 2025. "Decreased Sensitivity to Drought in Bt Crops: Evidence from Rootworm Bt Corn Experimental Trials," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 360791, Agricultural and Applied Economics Association.
    14. Ruiqing Miao & Recep Ulucak & David Zilberman, 2024. "Public agricultural research, political economy, and climate change: A literature review," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(3), pages 954-982, September.
    15. Hanjun Lu & Alan P. Ker, 2025. "On the Extent That Changing Climate Has Structurally Changed Marginal Crop Yield Distributions and Crop Losses," Agricultural Economics, International Association of Agricultural Economists, vol. 56(6), pages 1030-1041, November.
    16. Qimeng Pan & Lysa Porth & Hong Li, 2022. "Assessing the Effectiveness of the Actuaries Climate Index for Estimating the Impact of Extreme Weather on Crop Yield and Insurance Applications," Sustainability, MDPI, vol. 14(11), pages 1-24, June.

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