IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v95y2026ics1043951x25002585.html

Audiovisual pesticide label: A digital expert to promote accurate pesticide use

Author

Listed:
  • Chen, Juhui
  • Bai, Junfei
  • Lu, Xi
  • Ma, Yinghui
  • Zhou, Meng

Abstract

Text-based pesticide labels have been widely proven to be dysfunctional in guiding and educating farmers on the proper use of pesticides in many developing countries. The existing studies, however, fail to explore more economically effective approaches for activating label information content. In this study, through a well-designed lab-in-the-field experiment, we propose and empirically verify that an audiovisual label affixed with a QR code encoded with a pesticide operation video can significantly reduce the overuse of pesticides by approximately 15% on average and improve dosage accuracy. Audiovisual labels not only decrease pesticide use among farmers already using labels but also encourage more farmers to follow label instructions, broadening the reduction in pesticide usage. The stronger effects are observed among farmers who distrust retailers but trust labels, as well as among those with relatively higher levels of education, suggesting that trust and education jointly shape the effectiveness of audiovisual labels.

Suggested Citation

  • Chen, Juhui & Bai, Junfei & Lu, Xi & Ma, Yinghui & Zhou, Meng, 2026. "Audiovisual pesticide label: A digital expert to promote accurate pesticide use," China Economic Review, Elsevier, vol. 95(C).
  • Handle: RePEc:eee:chieco:v:95:y:2026:i:c:s1043951x25002585
    DOI: 10.1016/j.chieco.2025.102600
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043951X25002585
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chieco.2025.102600?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    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:eee:chieco:v:95:y:2026:i:c:s1043951x25002585. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/chieco .

    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.