IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v16y2025i2d10.1007_s13132-024-02127-0.html
   My bibliography  Save this article

How Does the Digital Economy Empower the High-Quality Development of Manufacturing Industry?—Based on the Test of Mediation Effect and Threshold Effect

Author

Listed:
  • Shijin Wang

    (Jiangsu Normal University)

  • Zhichao Xue

    (Jiangsu Normal University
    Chongqing College of International Business and Economics)

Abstract

Manufacturing industry is an important pillar industry of the national economy, with the deep development of the new round of scientific and technological revolution and industrial revolution, the manufacturing industry is facing new opportunities and challenges, and the deep integration of the digital economy and manufacturing industry has become an important engine to promote the transformation and upgrading of the manufacturing industry structure and high-quality development. This paper empirically investigates whether the development of digital economy can promote the high-quality development of China’s manufacturing industry based on the panel data of 30 Chinese provinces from 2012 to 2021. The results of the study show that, firstly, from the full sample level, the development of digital economy can significantly enhance the level of high-quality development of China’s manufacturing industry. From the perspective of regional heterogeneity, the development of digital economy in the eastern region of China can significantly improve the high-quality development level of regional manufacturing industry. Secondly, the regression results of enterprise innovation ability with intermediate variables show that the digital economy can pull the level of high-quality development of the manufacturing industry by enhancing the innovation capacity of enterprises, and this mechanism is verified through the moderating effect of introducing the interaction term of the digital economy and enterprise innovation capacity. Thirdly, the regression results of the threshold effect show that with the further improvement of the level of the opening up, it will make the digital economy better promote the level of high-quality development of our manufacturing industry, and with the continuous improvement of the intensity of environmental regulation, the digital economy has a non-linear characteristic of diminishing marginal effect on the high-quality development of China’s manufacturing industry. Therefore, the government needs to continuously improve the construction of digital infrastructure, focus on expanding the application scope of digital technology, and accelerate the integration of digital technology and the real economy, give full play to the intermediary effect of enterprise innovation ability, and continue to provide a strong guarantee for the high-quality development of China’s manufacturing industry.

Suggested Citation

  • Shijin Wang & Zhichao Xue, 2025. "How Does the Digital Economy Empower the High-Quality Development of Manufacturing Industry?—Based on the Test of Mediation Effect and Threshold Effect," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 7164-7190, June.
  • Handle: RePEc:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-024-02127-0
    DOI: 10.1007/s13132-024-02127-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-024-02127-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13132-024-02127-0?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 search for a different version of it.

    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:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-024-02127-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.