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Valuing product innovation: genetically engineered varieties in US corn and soybeans

Author

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  • Federico Ciliberto
  • GianCarlo Moschini
  • Edward D. Perry

Abstract

We develop a discrete‐choice model of differentiated products for US corn and soybean seed demand to study the welfare impact of genetically engineered (GE) crop varieties. Using a unique data set spanning the period 1996–2011, we find that the welfare impact of the GE innovation is significant. In the last five years of the period analyzed, our preferred counterfactual indicates that total surplus due to GE traits was $5.18 billion per year, with seed manufacturers appropriating 56% of this surplus. The seed industry obtained more surplus from GE corn, whereas farmers received more surplus from GE soybeans.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:randje:v:50:y:2019:i:3:p:615-644
    DOI: 10.1111/1756-2171.12290
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    Cited by:

    1. Seungki Lee & GianCarlo Moschini, 2020. "Estimating the Value of Innovation and Extension Information: SCNResistant Soybean Varieties," Center for Agricultural and Rural Development (CARD) Publications 20-wp603, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    2. Raj Chandra & GianCarlo Moschini & Gabriel E. Lade, 2025. "Geographical indications and welfare: Evidence from US wine demand," American Journal of Agricultural Economics, John Wiley & Sons, vol. 107(2), pages 670-695, March.
    3. Seungki Lee & GianCarlo Moschini, 2022. "On the value of innovation and extension information: SCN‐resistant soybean varieties," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1177-1202, August.
    4. Edward D. Perry & David A. Hennessy & GianCarlo Moschini, 2022. "Uncertainty and learning in a technologically dynamic industry: Seed density in U.S. maize," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1388-1410, August.
    5. Jared Hutchins & Brent Hueth, 2023. "100 years of data sovereignty: Cooperative data governance and innovation in US dairy," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(3), pages 1551-1576, September.
    6. Raj Chandra & Gabriel E. Lade & GianCarlo Moschini, 2021. "Geographical Indications and Welfare: Evidence from the US Wine Market," Center for Agricultural and Rural Development (CARD) Publications 21-wp628, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    7. Zekiye Şengül, 2025. "Analyzing risk perception, risk attitude, and management strategy using Partial Least Squares Structural Equation Modeling (PLS-SEM) in pistachio production: the case of Siirt Province, Türkiye," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-25, December.
    8. Lee, Yunkyung & Perrin, Richard K. & Fulginiti, Lilyan E., 2022. "Potential Economic Impacts of Gene-edited High-oleic Soybeans," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322392, Agricultural and Applied Economics Association.
    9. Brown, Zachary S. & Connor, Lawson & Rejesus, Roderick M. & Yorobe, Jose M., 2021. "Landscape-level feedbacks in the demand for transgenic pesticidal corn in the Philippines," Ecological Economics, Elsevier, vol. 180(C).
    10. Scheitrum, Daniel & Schaefer, K. Aleks & Nes, Kjersti, 2020. "Realized and potential global production effects from genetic engineering," Food Policy, Elsevier, vol. 93(C).
    11. Du, Xiaodong & Feng, Hongli & Hennessy, David A., 2021. "Implications of WTP-AFP Discrepancy, Premium Subsidy Reduction and Program Changes in U.S. Crop Insurance," 2021 Annual Meeting, August 1-3, Austin, Texas 313881, Agricultural and Applied Economics Association.
    12. Che, Yuyuan & Hennessy, David A. & Feng, Hongli, . "Seeding Rate Responses to Markets, Resources, and Technologies," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 50(3).
    13. Marinakis, Yorgos D. & Walsh, Steven T. & White, Reilly, 2024. "What is the relationship between sociotechnical transition and disruptive innovations?," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    14. MacDonald, James M. & Dong, Xiao & Fuglie, Keith O., 2023. "Concentration and Competition in U.S. Agribusiness," Economic Information Bulletin 337566, United States Department of Agriculture, Economic Research Service.
    15. Luo, Jinjing & Moschini, GianCarlo & Perry, Edward D., 2023. "Switching costs in the US seed industry: Technology adoption and welfare impacts," International Journal of Industrial Organization, Elsevier, vol. 89(C).
    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.
    17. Jennifer Syme & Henry An & Mohammad Torshizi, 2024. "Estimating the effect of time‐invariant characteristics in panel data: wheat adoption in Western Canada," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 828-851, March.
    18. Lee, Seungki & Moschini, GianCarlo & Perry, Edward D., 2023. "Genetically engineered varieties and applied pesticide toxicity in U.S. maize and soybeans: Heterogeneous and evolving impacts," Ecological Economics, Elsevier, vol. 211(C).

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