IDEAS home Printed from https://ideas.repec.org/p/ags/aaea25/361097.html

From Field Trials to Farm Adoption: Identifying the Productivity Effect of On-Farm Technology Adoption

Author

Listed:
  • Ala-Kokko, Kristiina
  • Tack, Jesse B.
  • Yu, Jisang

Abstract

No abstract is available for this item.

Suggested Citation

  • Ala-Kokko, Kristiina & Tack, Jesse B. & Yu, Jisang, 2025. "From Field Trials to Farm Adoption: Identifying the Productivity Effect of On-Farm Technology Adoption," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 361097, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea25:361097
    DOI: 10.22004/ag.econ.361097
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/361097/files/75305_95849_105300_AAAE_Poster_Upload.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.361097?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Jayson Beckman & Noé J. Nava & Angelica S. Williams & Steven Zahniser, 2024. "Land competition and welfare effects from Mexico's proposal to ban genetically engineered corn," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(3), pages 1300-1325, May.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Ortiz-Bobea, Ariel & Tack, Jesse B., "undated". "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.
    17. 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.

    More about this item

    Keywords

    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea25:361097. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.