The Dynamic Relationship Between Industrial Structure Upgrading and Carbon Emissions: New Evidence from Chinese Provincial Data

Industrial structure upgrading (ISU) plays a critical role in reducing carbon emissions (CO2 emissions); however, the existing literature lacks dynamic research on the relationship between the two. Based on provincial panel data from China between 2002 and 2021, this paper establishes a time-varying coefficient two-way fixed-effects model to empirically explore the dynamic effects of ISU on CO2 emissions. The findings indicate that the overall impact of China’s ISU on CO2 emissions demonstrates a dynamic tendency of initially promoting and subsequently inhibiting such emissions and, since 2016, ISU has had the ability to significantly reduce CO2 emissions. This time-varying trend is highly related to the evolving direction and stage of the ISU. During the initial stage of ISU, dominated by industrialization, the promotional effect is dominant in terms of CO2 emissions, but with the development of tertiary and emerging industries, its inhibitory effect is continuously enhanced and, eventually, ISU can significantly suppress CO2 emissions. Further, regional heterogeneity analysis shows that in the eastern and western regions of China, ISU has always inhibited CO2 emissions, while in the central and northeastern regions, ISU first promotes and then inhibits CO2 emissions, which is similar to the overall pattern in China. Based on these findings, relevant policy suggestions are provided to promote sustainable economic and environmental development.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2024-11-20
DOI
https://doi.org/10.3390/su162210118
Citations
6
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
6.78

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Dynamic Relationship Between Industrial Structure Upgrading and Carbon Emissions: New Evidence from Chinese Provincial Data

Mingquan Wang, Qibing Gao, Xiaohua Ma, Chunhua Zhu et al.
6 citations
Sustainability
Energy, Environment, Economic Growth
6.78
article

The Dynamic Relationship Between Industrial Structure Upgrading and Carbon Emissions: New Evidence from Chinese Provincial Data

Mingquan Wang, Qibing Gao, Xiaohua Ma, Chunhua Zhu, Ying Zheng
article en
6 citations

Abstract

Industrial structure upgrading (ISU) plays a critical role in reducing carbon emissions (CO2 emissions); however, the existing literature lacks dynamic research on the relationship between the two. Based on provincial panel data from China between 2002 and 2021, this paper establishes a time-varying coefficient two-way fixed-effects model to empirically explore the dynamic effects of ISU on CO2 emissions. The findings indicate that the overall impact of China’s ISU on CO2 emissions demonstrates a dynamic tendency of initially promoting and subsequently inhibiting such emissions and, since 2016, ISU has had the ability to significantly reduce CO2 emissions. This time-varying trend is highly related to the evolving direction and stage of the ISU. During the initial stage of ISU, dominated by industrialization, the promotional effect is dominant in terms of CO2 emissions, but with the development of tertiary and emerging industries, its inhibitory effect is continuously enhanced and, eventually, ISU can significantly suppress CO2 emissions. Further, regional heterogeneity analysis shows that in the eastern and western regions of China, ISU has always inhibited CO2 emissions, while in the central and northeastern regions, ISU first promotes and then inhibits CO2 emissions, which is similar to the overall pattern in China. Based on these findings, relevant policy suggestions are provided to promote sustainable economic and environmental development.

SustainabilityVol. 16(22)
Nanjing Normal University (CN), Nanjing Audit University (CN)
Government of Jiangsu Province, National Office for Philosophy and Social Sciences, National Key Research and Development Program of China
Openalex Percentile: Top 3%
Energy, Environment, Economic Growth
6.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.