IDEAS home Printed from https://ideas.repec.org/a/eee/epplan/v117y2026ics0149718926000376.html

From labels to action: Investigating psychological drivers of consumers’ purchase intention toward carbon footprint-labeled products

Author

Listed:
  • Huang, Hsien-Long
  • Ho, Chien-Wei

Abstract

Carbon footprint labeling is an effective strategy to promote sustainable consumption as part of global sustainability efforts. This research explores how personal norms influence the intention to purchase products with carbon footprint labels and examines the effects of environmental beliefs and green perceived value on such norms. It also considers social norms as moderators and investigates their impact on environmental beliefs, green perceived value, and personal norms. From survey data collected in Taiwan and analyzed through structural equation modelling (SEM), the results show that the warm glow effect and climate change awareness positively influence environmental beliefs, while self-expressive benefit and green transparency positively influence green perceived value. Environmental beliefs and green perceived value both positively shape personal norms, which significantly affect purchase intention. This paper offers important theoretical and practical insights for promoting sustainable consumption, particularly in understanding the psychological factors that drive consumer decisions related to carbon footprint-labeled products.

Suggested Citation

  • Huang, Hsien-Long & Ho, Chien-Wei, 2026. "From labels to action: Investigating psychological drivers of consumers’ purchase intention toward carbon footprint-labeled products," Evaluation and Program Planning, Elsevier, vol. 117(C).
  • Handle: RePEc:eee:epplan:v:117:y:2026:i:c:s0149718926000376
    DOI: 10.1016/j.evalprogplan.2026.102787
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0149718926000376
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.evalprogplan.2026.102787?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:epplan:v:117:y:2026:i:c:s0149718926000376. 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/evalprogplan .

    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.