IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v92y2024icp1045-1058.html
   My bibliography  Save this article

Digital economy, industrial structure upgrading, and residents' consumption: Empirical evidence from prefecture-level cities in China

Author

Listed:
  • Wang, Yizi
  • Li, Lanyi

Abstract

In the context of promoting high-quality economic development, how to use digital technology to empower industrial transformation and upgrading, and then drive consumption growth, has become a critical issue that needs to be solved urgently. Based on the panel data of prefecture-level cities in China from 2011 to 2020, this paper has discussed the influence of the digital economy on residents' consumption and its internal mechanism. Theoretical analysis and empirical test results show that, firstly, the digital economy has a positive effect on residents' consumption, and this conclusion is still valid after the endogenous test and robustness test. Secondly, mechanism analysis results confirm that industrial structure upgrading is the main channel through which the positive mediating effect operates. Thirdly, the influence of the digital economy is only valid for rural areas rather than urban areas, and more significant for western regions than eastern and central regions, which indicates the development of the digital economy is beneficial to narrowing the consumption gap. Finally, the positive impact of the digital economy on residents' consumption is continuously strengthened with the upgrading of industrial structure, which is a significant non-linear characteristic of the marginal effect increasing. The above research conclusions can provide a theoretical basis for further improving the infrastructure of the digital economy, accelerating the integration of the digital economy with traditional industries, and building a consumer Internet.

Suggested Citation

  • Wang, Yizi & Li, Lanyi, 2024. "Digital economy, industrial structure upgrading, and residents' consumption: Empirical evidence from prefecture-level cities in China," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1045-1058.
  • Handle: RePEc:eee:reveco:v:92:y:2024:i:c:p:1045-1058
    DOI: 10.1016/j.iref.2024.02.069
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056024001497
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2024.02.069?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:eee:reveco:v:92:y:2024:i:c:p:1045-1058. 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.