IDEAS home Printed from https://ideas.repec.org/a/wly/sustdv/v32y2024i5p4486-4504.html
   My bibliography  Save this article

Path to sustainable development: Can industrial intelligence and technological innovation balance economic growth and environmental quality in China?

Author

Listed:
  • Zi Hui Yin
  • Wei Ping Zeng

Abstract

Intelligent industrial transformation and technological innovation fuel China's sustainable development. We examine whether industrial intelligence and technological innovation improve economic growth and environmental quality using provincial data from China from 2006 to 2020. We used panel co‐integration techniques (fully modified OLS and dynamic OLS) for analysis. The results showed that industrial intelligence drives economic growth and environmental quality, whereas technological innovation primarily promotes economic growth. We also found that green technological innovation improves economic growth and environmental quality. The Granger causality technique based on the vector error‐correction model showed a strong interrelationship among industrial intelligence, technological innovation, economic growth, and environmental quality. Furthermore, a heterogeneity analysis shows that the effects and interrelationships of the variables of interest vary significantly by region in China. To achieve sustainable development, the government should accelerate the transformation of industrial intelligence, invest in environment‐friendly technological innovation activities, and focus on the co‐development of industrial intelligence, technological innovation, economic growth, and environmental quality.

Suggested Citation

  • Zi Hui Yin & Wei Ping Zeng, 2024. "Path to sustainable development: Can industrial intelligence and technological innovation balance economic growth and environmental quality in China?," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(5), pages 4486-4504, October.
  • Handle: RePEc:wly:sustdv:v:32:y:2024:i:5:p:4486-4504
    DOI: 10.1002/sd.2918
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sd.2918
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sd.2918?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
    ---><---

    More about this item

    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:wly:sustdv:v:32:y:2024:i:5:p:4486-4504. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1719 .

    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.