IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i9p4192-d1926621.html

Deconstructing Perceived Risk to Predict Suboptimal Food Purchase: A Strategy for Mitigating Food Waste

Author

Listed:
  • Shiyang Cao

    (School of Social Sciences, Henan Normal University, 46 Jianshe East Road, Xinxiang 453007, China
    Henan (Xinxiang) Branch of China Volunteer Service Research Center, 46 Jianshe East Road, Xinxiang 453007, China)

  • Yifan Tang

    (School of Social Sciences, Henan Normal University, 46 Jianshe East Road, Xinxiang 453007, China)

Abstract

Food waste poses a serious threat to global food sustainability, and consumer rejection of suboptimal food due to perceived risks is a significant factor exacerbating this issue—a phenomenon particularly pronounced in the Chinese context. Using survey data from 1022 Chinese consumers, this study investigates how multidimensional perceived risk and demographic characteristics jointly influence purchase intention toward suboptimal food. The results indicate that perceived quality risk, perceived health risk, and perceived social risk exert significant negative effects on purchase intention, whereas perceived psychological risk shows no significant effect. Moreover, the effect of perceived risk varies significantly across key demographic dimensions. Perceived health risk mediates the relationship between perceived quality risk and purchase intention. A significant interaction also emerges between perceived quality risk and perceived social risk: under conditions of high perceived social risk, high perceived quality risk substantially reduces purchase intention; under low perceived social risk, this negative effect persists but is attenuated. By delineating the differential effects and underlying mechanisms through which distinct risk dimensions shape purchase intention, this study not only advances the theoretical understanding of the interplay between multiple risk perceptions in consumer decision-making but also provides empirical evidence for reducing food waste from the consumption side, offering important implications for promoting sustainable consumption practices.

Suggested Citation

  • Shiyang Cao & Yifan Tang, 2026. "Deconstructing Perceived Risk to Predict Suboptimal Food Purchase: A Strategy for Mitigating Food Waste," Sustainability, MDPI, vol. 18(9), pages 1-19, April.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:9:p:4192-:d:1926621
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/9/4192/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/9/4192/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:18:y:2026:i:9:p:4192-:d:1926621. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.