IDEAS home Printed from https://ideas.repec.org/p/ags/gewi24/364720.html

The Effects of Digital Yield Monitoring on Greenhouse Gas Emissions in the United States

Author

Listed:
  • Kopp, Thomas
  • Finger, Robert
  • Huber, Robert
  • Nabernegg, Markus
  • Sexton, Richard J.

Abstract

No abstract is available for this item.

Suggested Citation

  • Kopp, Thomas & Finger, Robert & Huber, Robert & Nabernegg, Markus & Sexton, Richard J., 2024. "The Effects of Digital Yield Monitoring on Greenhouse Gas Emissions in the United States," GEWISOLA 64th Annual Conference, Giessen, Germany, September 25–27, 2024 364720, GEWISOLA.
    • Handle: RePEc:ags:gewi24:364720
    DOI: 10.22004/ag.econ.364720
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/364720/files/Kopp.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.364720?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. Gómez, Miguel I. & Barrett, Christopher B. & Raney, Terri & Pinstrup-Andersen, Per & Meerman, Janice & Croppenstedt, André & Carisma, Brian & Thompson, Brian, 2013. "Post-green revolution food systems and the triple burden of malnutrition," Food Policy, Elsevier, vol. 42(C), pages 129-138.
    2. Kopp, Thomas & Nabernegg, Markus & Lange, Steffen, 2023. "The net climate effect of digitalization, differentiating between firms and households," Energy Economics, Elsevier, vol. 126(C).
    3. Späti, Karin & Huber, Robert & Finger, Robert, 2021. "Benefits of Increasing Information Accuracy in Variable Rate Technologies," Ecological Economics, Elsevier, vol. 185(C).
    4. Shockley, Jordan M. & Dillon, Carl R. & Stombaugh, Timothy S., 2011. "A Whole Farm Analysis of the Influence of Auto-Steer Navigation on Net Returns, Risk, and Production Practices," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(01), pages 1-19, February.
    5. Pampolino, M.F. & Manguiat, I.J. & Ramanathan, S. & Gines, H.C. & Tan, P.S. & Chi, T.T.N. & Rajendran, R. & Buresh, R.J., 2007. "Environmental impact and economic benefits of site-specific nutrient management (SSNM) in irrigated rice systems," Agricultural Systems, Elsevier, vol. 93(1-3), pages 1-24, March.
    6. Stéphane Bonhomme & Elena Manresa, 2015. "Grouped Patterns of Heterogeneity in Panel Data," Econometrica, Econometric Society, vol. 83(3), pages 1147-1184, May.
    7. Robert Finger & Scott M. Swinton & Nadja El Benni & Achim Walter, 2019. "Precision Farming at the Nexus of Agricultural Production and the Environment," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 313-335, October.
    8. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    9. Schimmelpfennig, David & Ebel, Robert, 2016. "Sequential Adoption and Cost Savings from Precision Agriculture," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(01), pages 1-19, January.
    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. Wang, Tong & Jin, Hailong & Sieverding, Heidi & Kumar, Sandeep & Miao, Yuxin & Rao, Xudong & Obembe, Oladipo & Mirzakhani Nafchi, Ali & Redfearn, Daren & Cheye, Stephen, 2023. "Understanding farmer views of precision agriculture profitability in the U.S. Midwest," Ecological Economics, Elsevier, vol. 213(C).
    2. Wang, Tong & Jin, Hailong & Sieverding, Heidi L. & Rao, Xudong & Miao, Yuxin & Kumar, Sandeep & Redfearn, Daren & Nafchi, Ali, 2022. "Understanding farmer perceptions of precision agriculture profitability in the U.S. Midwest," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322502, Agricultural and Applied Economics Association.
    3. Huber, Robert & Späti, Karin & Finger, Robert, 2023. "A behavioural agent-based modelling approach for the ex-ante assessment of policies supporting precision agriculture," Ecological Economics, Elsevier, vol. 212(C).
    4. Johannes Munz & Heinrich Schuele, 2022. "Influencing the Success of Precision Farming Technology Adoption—A Model-Based Investigation of Economic Success Factors in Small-Scale Agriculture," Agriculture, MDPI, vol. 12(11), pages 1-21, October.
    5. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
    6. Argento, F. & Liebisch, F. & Anken, T. & Walter, A. & El Benni, N., 2022. "Investigating two solutions to balance revenues and N surplus in Swiss winter wheat," Agricultural Systems, Elsevier, vol. 201(C).
    7. Jie Wei & Yonghui Zhang, 2022. "Panel Probit Models with Time‐Varying Individual Effects: Reestimating the Effects of Fertility on Female Labour Participation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 799-829, August.
    8. Bartolucci, Francesco & Belotti, Federico & Peracchi, Franco, 2015. "Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data," Journal of Econometrics, Elsevier, vol. 184(1), pages 111-123.
    9. Osrof, Hazem Yusuf & Tan, Cheng Ling & Angappa, Gunasekaran & Yeo, Sook Fern & Tan, Kim Hua, 2023. "Adoption of smart farming technologies in field operations: A systematic review and future research agenda," Technology in Society, Elsevier, vol. 75(C).
    10. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    11. Alfons Weersink & Murray Fulton, 2020. "Limits to Profit Maximization as a Guide to Behavior Change," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 67-79, March.
    12. Anders Bredahl Kock & Haihan Tang, 2014. "Inference in High-dimensional Dynamic Panel Data Models," CREATES Research Papers 2014-58, Department of Economics and Business Economics, Aarhus University.
    13. repec:ags:aaea22:335467 is not listed on IDEAS
    14. Margherita Masi & Jorgelina Di Pasquale & Yari Vecchio & Fabian Capitanio, 2023. "Precision Farming: Barriers of Variable Rate Technology Adoption in Italy," Land, MDPI, vol. 12(5), pages 1-16, May.
    15. Hanson, Erik D. & Cossette, Max K. & Roberts, David C., 2022. "The adoption and usage of precision agriculture technologies in North Dakota," Technology in Society, Elsevier, vol. 71(C).
    16. Hanson, Erik & Roberts, David C., 2020. "Precision Agriculture Technology Usage and Adoption Patterns," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304265, Agricultural and Applied Economics Association.
    17. Dmitry Arkhangelsky & Guido Imbens, 2018. "Fixed Effects and the Generalized Mundlak Estimator," Papers 1807.02099, arXiv.org, revised Aug 2023.
    18. Mammen, Enno & Wilke, Ralf A. & Zapp, Kristina Maria, 2022. "Estimation of group structures in panel models with individual fixed effects," ZEW Discussion Papers 22-023, ZEW - Leibniz Centre for European Economic Research.
    19. Sergei Schaub & Nadja El Benni, 2024. "How do price (risk) changes influence farmers’ preferences to reduce fertilizer application?," Agricultural Economics, International Association of Agricultural Economists, vol. 55(2), pages 365-383, March.
    20. Jorge A. Rivero, 2023. "Unobserved Grouped Heteroskedasticity and Fixed Effects," Papers 2310.14068, arXiv.org, revised Oct 2023.
    21. Kopp, Thomas & Nabernegg, Markus & Lange, Steffen, 2023. "The net climate effect of digitalization, differentiating between firms and households," Energy Economics, Elsevier, vol. 126(C).

    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:gewi24:364720. 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/gewisea.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.