IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v50y2018i01p81-103_00.html
   My bibliography  Save this article

Crop Production Costs, Profits, And Ecosystem Stewardship With Precision Agriculture

Author

Listed:
  • SCHIMMELPFENNIG, DAVID

Abstract

Ecosystem stewardship is an important goal of crop production management. The developing question has been the feasibility and profitability of best management practices (BMPs) associated with stewardship goals. Treatment-effects empirical estimates show that soybean crop ecosystem stewardship is likely to benefit from precision agriculture's (PA) information technologies to varying degrees. After accounting for the effect of overhead expenditures on technology adoption, and input costs on operating costs and profits, we show PA technologies also affect at least six BMPs. In one comprehensive framework, PA technologies affect profits, and improve crop production management through BMPs, with benefits for ecosystem stewardship.

Suggested Citation

  • Schimmelpfennig, David, 2018. "Crop Production Costs, Profits, And Ecosystem Stewardship With Precision Agriculture," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 50(1), pages 81-103, February.
  • Handle: RePEc:cup:jagaec:v:50:y:2018:i:01:p:81-103_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070817000232/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Renda, Andrea & Reynolds, Nicole & Laurer, Moritz & Cohen, Gal, 2019. "Digitising Agrifood: Pathways and Challenges," CEPS Papers 25701, Centre for European Policy Studies.
    2. Boehlje, Michael & Langemeier, Michael, 2022. "Potential Payoffs of Precision Agriculture," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2022.
    3. Schimmelpfennig, David & Lowenberg-DeBoer, James, 2020. "Farm types and precision agriculture adoption: crops, regions, soil variability, and farm size," Agri-Tech Economics Papers 304070, Harper Adams University, Land, Farm & Agribusiness Management Department.
    4. Calder McCollum & Jason S. Bergtold & Jeffery Williams & Amer Al-Sudani & Elizabeth Canales, 2022. "Perceived Benefit and Cost Perception Gaps between Adopters and Non-Adopters of In-Field Conservation Practices of Agricultural Producers," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    5. McFadden, Jonathan & Njuki, Eric & Griffin, Terry, 2023. "Precision Agriculture in the Digital Era: Recent Adoption on U.S. Farms," USDA Miscellaneous 333550, United States Department of Agriculture.
    6. 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.
    7. Silvia Macchia, 2022. "Unbundling the information needs of new-generation agricultural companies," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2 Suppl.), pages 117-141.
    8. Julian M. Alston & Philip G. Pardey, 2020. "Innovation, Growth, and Structural Change in American Agriculture," NBER Chapters, in: The Role of Innovation and Entrepreneurship in Economic Growth, pages 123-165, National Bureau of Economic Research, Inc.
    9. Assefa, Yared & Yadav, Sudhir & Mondal, Manoranjan K. & Bhattacharya, Jayanta & Parvin, Rokhsana & Sarker, Shilpi R. & Rahman, Mahabubur & Sutradhar, Asish & Prasad, P.V. Vara & Bhandari, Humnath & Sh, 2021. "Crop diversification in rice-based systems in the polders of Bangladesh: Yield stability, profitability, and associated risk," Agricultural Systems, Elsevier, vol. 187(C).
    10. Stefania Troiano & Matteo Carzedda & Francesco Marangon, 2023. "Better richer than environmentally friendly? Describing preferences toward and factors affecting precision agriculture adoption in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-15, December.
    11. 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).

    More about this item

    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:cup:jagaec:v:50:y:2018:i:01:p:81-103_00. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .

    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.