IDEAS home Printed from https://ideas.repec.org/a/oup/ijlctc/v20y2025ip1204-1222..html

Knowledge-driven green cognition: the impact of enterprise innovation in sustainable development performance

Author

Listed:
  • Chao Yin
  • Peibiao Liu

Abstract

This study examines how corporate green cognition affects sustainable performance under China's dual-carbon agenda, analyzing manufacturing sector data. Results show environmental factors exert stronger impacts than resource factors on financial/environmental outcomes. Green product innovation mediates financial performance, while green technological innovation mediates environmental gains. Government subsidies intensify cognition's effect on innovation adoption. Ownership heterogeneity reveals environmental factors differentially influence state-owned versus private enterprises. The findings advance sustainable development theory by elucidating cognition–innovation–performance mechanisms, offering practical strategies for aligning manufacturing practices with carbon neutrality goals through optimized green cognition frameworks and targeted policy interventions.

Suggested Citation

  • Chao Yin & Peibiao Liu, 2025. "Knowledge-driven green cognition: the impact of enterprise innovation in sustainable development performance," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 20, pages 1204-1222.
  • Handle: RePEc:oup:ijlctc:v:20:y:2025:i::p:1204-1222.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ijlct/ctaf072
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:oup:ijlctc:v:20:y:2025:i::p:1204-1222.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ijlct .

    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.