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The Contribution of Genetic Modification to Changes in Corn Yield in the United States

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  • Elizabeth Nolan
  • Paulo Santos

Abstract

We use a large, rich dataset compiled from results of university extension trials to estimate the contribution of genetic modification (GM) to changes in corn yield in the United States from timeA to timeB. Through repeated experimental trials, we obtain consistent estimates of the effect of these traits by using both the Hausman-Taylor estimator and a comparison of fixed effects estimates analogous to the agronomic practice of comparing near-isolines. Our results suggest that GM traits had a positive impact on yield, but that gains associated with combining several GM traits in one hybrid are not necessarily additive. Copyright 2012, Oxford University Press.

Suggested Citation

  • Elizabeth Nolan & Paulo Santos, 2012. "The Contribution of Genetic Modification to Changes in Corn Yield in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(5), pages 1171-1188.
    • Handle: RePEc:oup:ajagec:v:94:y:2012:i:5:p:1171-1188
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    File URL: http://hdl.handle.net/10.1093/ajae/aas069
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    Cited by:

    1. Fernandez-Cornejo, Jorge & Valle, Karen, 2014. "A Hedonic Model of Corn Seed Prices," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169667, Agricultural and Applied Economics Association.
    2. Aglasan, Serkan & Goodwin, Barry K. & Rejesus, Roderick, 2020. "Genetically Modified Rootworm-Resistant Corn, Risk, and Weather: Evidence from High Dimensional Methods," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 305181, Agricultural and Applied Economics Association.
    3. Federico Ciliberto & GianCarlo Moschini & Edward D. Perry, 2019. "Valuing product innovation: genetically engineered varieties in US corn and soybeans," RAND Journal of Economics, RAND Corporation, vol. 50(3), pages 615-644, September.
    4. 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.
    5. Yorobe, Jose Jr & Pede, Valerien & Rejesus, Roderick & Velarde, Orlee & Wang, Huaiyu & Ali, Jauhar, 2014. "Yield and Income Effects of the Green Super Rice (GSR) Varieties: Evidence from a Fixed-Effects Model in the Philippines," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169635, Agricultural and Applied Economics Association.
    6. Fernandez-Cornejo, Jorge & Livingston, Michael J. & Mitchell, Lorraine & Wechsler, Seth, 2014. "Genetically Engineered Crops in the United States," Economic Research Report 164263, United States Department of Agriculture, Economic Research Service.
    7. Tavella, Elena, 2016. "How to make Participatory Technology Assessment in agriculture more “participatory”: The case of genetically modified plants," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 119-126.
    8. Taheripour, Farzad & Mahaffey, Harry & Tyner, Wallace E., 2015. "Evaluation of Economic, Land Use, and Land Use Emission Impacts of Substituting Non-GMO Crops for GMO in the US," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204907, Agricultural and Applied Economics Association.
    9. Pavla BLAHOVA & Karel JANDA & Ladislav KRISTOUFEK, 2014. "The perspectives for genetically modified cellulosic biofuels in the Central European conditions," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(6), pages 247-259.
    10. Jonas Kathage & Manuel Gómez-Barbero & Emilio Rodríguez-Cerezo, 2016. "Framework for assessing the socio-economic impacts of Bt maize cultivation," JRC Research Reports JRC103197, Joint Research Centre.
    11. Ko, Minkyong & Ramsey, Austin F., 2022. "Warming Temperatures and Potential Adaptation through Breeding: Evidence from U.S. Soft Winter Wheat," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322102, Agricultural and Applied Economics Association.
    12. Tillie, Pascal & Dillen, Koen & Rodríguez-Cerezo, Emilio, 2014. "Modelling ex-ante the economic and environmental impacts of Genetically Modified Herbicide Tolerant maize cultivation in Europe," Agricultural Systems, Elsevier, vol. 127(C), pages 150-160.
    13. Ortiz-Bobea, Ariel & Tack, Jesse B., 2018. "Another genetic yield revolution is needed to offset climate change effects on U.S. maize," 2018 Annual Meeting, August 5-7, Washington, D.C. 274380, Agricultural and Applied Economics Association.
    14. Wallace E. Huffman & Yu Jin & Zheng Xu, 2018. "The economic impacts of technology and climate change: New evidence from U.S. corn yields," Agricultural Economics, International Association of Agricultural Economists, vol. 49(4), pages 463-479, July.
    15. Jayson L. Lusk & Jesse Tack & Nathan P. Hendricks, 2018. "Heterogeneous Yield Impacts from Adoption of Genetically Engineered Corn and the Importance of Controlling for Weather," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 11-39, National Bureau of Economic Research, Inc.
    16. Seungki Lee & Yongjie Ji & GianCarlo Moschini, 2021. "Agricultural Innovation and Adaptation to Climate Change: Insights from Genetically Engineered Maize," Center for Agricultural and Rural Development (CARD) Publications 21-wp616, Center for Agricultural and Rural Development (CARD) at Iowa State University.

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