IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i10p1055-d1654860.html
   My bibliography  Save this article

Chinese Farmers’ Low-Carbon Agricultural Technology Adoption Behavior and Its Influencing Factors

Author

Listed:
  • Liqun Zhu

    (College of Humanities and Social Development, Nanjing Agricultural University, Nanjing 210014, China
    College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
    These authors contributed equally to this work.)

  • Yutao Wang

    (College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
    These authors contributed equally to this work.)

  • Yujia Liu

    (College of Humanities and Social Development, Nanjing Agricultural University, Nanjing 210014, China)

  • Zhuqun Tan

    (College of Humanities and Social Development, Nanjing Agricultural University, Nanjing 210014, China)

  • Siqi Ke

    (College of Humanities and Social Development, Nanjing Agricultural University, Nanjing 210014, China)

  • Naijuan Hu

    (Institute of Agricultural Economics and Development, Jiangsu Academy of Agricultural Science, Nanjing 210014, China)

  • Shuyang Qu

    (Department of Agricultural Education and Studies, Iowa State University, Ames, IA 50011, USA)

  • Guang Han

    (College of Humanities and Social Development, Nanjing Agricultural University, Nanjing 210014, China
    China Resources and Environment and Development Academy, Nanjing Agricultural University, Nanjing 210095, China)

Abstract

Low-carbon agricultural technology (LCAT) is essential for China to achieve its carbon emissions peak by 2030 and neutrality by 2060. Farmers’ adoption of LCAT is crucial for adapting to and mitigating climate change risks. This study explores the social-psychological factors shaping farmers’ LCAT adoption behavior, utilizing the Theory of Planned Behavior and the Normative Activation Model. Survey data from 360 farmers in Wuxi, Jiangsu Province, were analyzed using structural equation modeling. Findings show that behavioral attitude, perceived behavioral control, subjective norms, and personal norms have positive and direct effects on farmers’ LCAT adoption. The analyses also discovered four mediation paths that indirectly influence farmers’ LCAT adoption, including Subjective Norms → Personal Norms → Adoption Level; Consequence Awareness → Personal Norms → Adoption Level; Responsibility Attribution → Personal Norms → Adoption Level; and Consequence Awareness → Responsibility Attribution → Personal Norms → Adoption Level. The study deepens our understanding of the social-psychological mechanism underlying farmers’ LCAT adoption behavior. The findings offer valuable insights for promoting low-carbon agricultural technologies and guiding policy development. Recommendations include promoting LCAT by leveraging social influence to enhance social norms, educating farmers on ethical environmental stewardship, raising awareness of farming’s environmental impacts, and providing policy incentives and technical support to reduce adoption barriers.

Suggested Citation

  • Liqun Zhu & Yutao Wang & Yujia Liu & Zhuqun Tan & Siqi Ke & Naijuan Hu & Shuyang Qu & Guang Han, 2025. "Chinese Farmers’ Low-Carbon Agricultural Technology Adoption Behavior and Its Influencing Factors," Agriculture, MDPI, vol. 15(10), pages 1-25, May.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:10:p:1055-:d:1654860
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/10/1055/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/15/10/1055/
    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:jagris:v:15:y:2025:i:10:p:1055-:d:1654860. 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.