EconPapers    
Economics at your fingertips  
 

Digital economy empowerment on carbon emission reduction: an analysis of spatial spillover effects based on temporal heterogeneity

Ruixi Yuan, Congqi Wang, Tajul Ariffin Masron and Haslindar Ibrahim

Applied Economics, 2025, vol. 57, issue 35, 5359-5373

Abstract: Carbon emissions are rising as urbanization and industrialization advance. As emerging technologies are integrated and developed across various sectors of the economy and society, developing the digital economy, aligning with new development concepts, and exploring the relationship between the digital economy and carbon emissions are crucial. Thus, using the Spatial Durbin Model under dual fixed effects, this paper uses panel data from 30 Chinese provinces and cities from 2012 to 2021 to examine how the digital economy affects carbon emissions. The findings show that the digital economy has a significant spatial auto-correlation, which is rising, and there is significant development disparity across regions. The digital economy has a negative spatial spillover effect on neighbouring provinces’ carbon emissions. Thirdly, temporal heterogeneity shows that the development of the digital economy restrains carbon emissions less from 2017 to 2021 than from 2012 to 2016. This suggests that carbon emissions will be inhibited as digital economy infrastructure improves, industrial digitization increases, and scientific and technological advancement increases. Thus, regional carbon emission intensity decreases differently as the digital economy develops.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2024.2364924 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:57:y:2025:i:35:p:5359-5373

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2024.2364924

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-08-05
Handle: RePEc:taf:applec:v:57:y:2025:i:35:p:5359-5373