IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v102y2025ics1059056025004976.html
   My bibliography  Save this article

The impact of new quality productivity on sustainable development performance

Author

Listed:
  • Ma, Defang
  • Xie, Yuze
  • Wang, Mengkai
  • Peng, Ting
  • Ding, Jiahui

Abstract

This study investigates the impact of new quality productivity (Npro) on corporate sustainable development performance. Using data from Chinese A-share listed firms from 2011 to 2021, we find that companies that develop Npro can improve their sustainability performance. Mechanism analyses reveal that Npro primarily influences sustainability performance by improving green innovation capabilities and internal control levels. Furthermore, compared to non-high-tech firms, high-tech firms’ sustainability performance is more obviously enhanced. The positive effect is also more pronounced in firms at the growth stage than in those at the mature or recession stages. Therefore, firms should actively foster green productivity, comprehensively enhance the “green content” of all production factors, and green the combination of factors. Our findings contribute to break the “haze” faced by enterprise and provide empirical evidence to support sustainable development.

Suggested Citation

  • Ma, Defang & Xie, Yuze & Wang, Mengkai & Peng, Ting & Ding, Jiahui, 2025. "The impact of new quality productivity on sustainable development performance," International Review of Economics & Finance, Elsevier, vol. 102(C).
  • Handle: RePEc:eee:reveco:v:102:y:2025:i:c:s1059056025004976
    DOI: 10.1016/j.iref.2025.104334
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056025004976
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2025.104334?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:reveco:v:102:y:2025:i:c:s1059056025004976. 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/inca/620165 .

    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.