IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i24p10920-d1542677.html
   My bibliography  Save this article

The Impact of Digital Technology Application on Agricultural Low-Carbon Transformation—A Case Study of the Pesticide Reduction Effect of Plant Protection Unmanned Aerial Vehicles (UAVs)

Author

Listed:
  • Qian Deng

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China
    School of Foreign Languages, Jiangxi Agricultural University, Nanchang 330045, China
    These authors contributed equally to this work and share first authorship.)

  • Yuhan Zhang

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China
    These authors contributed equally to this work and share first authorship.)

  • Zhuyu Lin

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Xueping Gao

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China)

  • Zhenlin Weng

    (School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, China
    Jiangxi Rural Revitalization Strategy Research Institute, Jiangxi Agricultural University, Nanchang 330045, China)

Abstract

Reducing pesticide use is a crucial step toward achieving the green and low-carbon transformation of agriculture. Analyzing the role and mechanisms of agricultural digital technologies—particularly plant protection unmanned aerial vehicles (UAVs) for aerial spraying—is essential for identifying viable strategies to reduce pesticide application intensity among farming households. This analysis is critical for facilitating the low-carbon transformation of rice production and advancing sustainable agricultural development. This study, using survey data from 455 farming households in Jiangxi Province, China, employs Ordinary Least Squares (OLS) and Propensity Score Matching (PSM) methods to investigate the relationship between plant protection UAVs and pesticide application intensity. The findings reveal that adopting plant protection UAVs significantly reduces pesticide application intensity in rice production by 24.9%. Further analysis indicates that the reduction effect is more pronounced among non-aged, large-scale, and part-time farming households. To achieve the low-carbon transformation of rice production, it is vital to enhance agricultural support policies and develop effective market promotion and application mechanisms to encourage the adoption of UAV-based aerial spraying and other digital agricultural technologies.

Suggested Citation

  • Qian Deng & Yuhan Zhang & Zhuyu Lin & Xueping Gao & Zhenlin Weng, 2024. "The Impact of Digital Technology Application on Agricultural Low-Carbon Transformation—A Case Study of the Pesticide Reduction Effect of Plant Protection Unmanned Aerial Vehicles (UAVs)," Sustainability, MDPI, vol. 16(24), pages 1-16, December.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:10920-:d:1542677
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/24/10920/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/24/10920/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:16:y:2024:i:24:p:10920-:d:1542677. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.