Does green innovation reduce carbon emission intensity of Chinese cities? Analysis based on GS2SLS

Danyu Liu, Yongkang Lin and Shijiao Fang

Applied Economics, 2023, vol. 55, issue 58, 6892-6904

Abstract: In the 14th Five-Year Plan, China’s economic and social development aims to focus on carbon peaking and carbon neutrality. On the basis of panel data of 284 prefecture-level cities in China from 2011 to 2020, this study uses the generalized spatial two-stage least squares method (GS2SLS) to analyse empirically the relationship and mechanism between the green innovation and carbon emission intensity（CEI） of Chinese cities. The research reveals several findings. (1) The CEI of Chinese cities has a significant spatial spillover effect. Moreover, green innovation has reduced the CEI of Chinese cities. The robustness and endogenous tests further verified this conclusion. (2) The carbon emission reduction effect of green innovation shows significant regional heterogeneity, which is more significant in eastern regions and cities with high innovation capabilities. In contrast, this outcome is not significant in regions with weaker innovation capabilities and in the central and western regions. (3) Green innovation mainly reduces the CEI of Chinese cities by promoting the upgrading of industrial structures. A higher level of digital economy development will also have a significantly positive catalytic effect on green innovation to inhibit CEI.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2023.2269615 (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:55:y:2023:i:58:p:6892-6904

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

DOI: 10.1080/00036846.2023.2269615

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 ().