How to promote local governments collaboration? evidence from carbon reduction in the Yangtze River Delta

China’s central government has proposed a “dual carbon” goal to promote carbon peaking in every province. Collaboration on carbon reduction among local governments is considered an efficient approach to address the carbon emission issues in China. In response, the YRD region implemented the collaborative mechanism and achieved success in carbon reduction. However, there are still some factors that limit the effectiveness of collaboration, such as inconsistencies in priority sectors and goals for carbon reduction. Therefore, comprehensively identifying the factors that influence collaboration would contribute to understanding the reasons for inefficient collaboration, and exploring the relationships among these factors could provide guidance on promoting collaboration. This study presents a structural model and an impact mechanism model for collaboration through grounded theory, cluster analysis and variation coefficient analysis. The results suggest that there are five factors that influence collaboration: Equitable allocation and pressure from monitoring are pressure factors, governance cost and collaborative benefit are state factors, and governance responsibility is the individual factor. The pressure factors could affect collaboration by affecting state factors, while individual factor plays a moderating role between state factors and collaboration. The research findings provide new insights for promoting collaboration on carbon reduction.

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Publication Details

Journal
Frontiers in Environmental Science
Published
2025-08-11
DOI
https://doi.org/10.3389/fenvs.2025.1620195
Primary Topic
Sustainability and Climate Change Governance
Type
article
Field-Weighted Citation Impact
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article

How to promote local governments collaboration? evidence from carbon reduction in the Yangtze River Delta

Yaodong Cang, Yue Liu
Frontiers in Environmental Science
Sustainability and Climate Change Governance
article

How to promote local governments collaboration? evidence from carbon reduction in the Yangtze River Delta

Yaodong Cang, Yue Liu
article en

Abstract

China’s central government has proposed a “dual carbon” goal to promote carbon peaking in every province. Collaboration on carbon reduction among local governments is considered an efficient approach to address the carbon emission issues in China. In response, the YRD region implemented the collaborative mechanism and achieved success in carbon reduction. However, there are still some factors that limit the effectiveness of collaboration, such as inconsistencies in priority sectors and goals for carbon reduction. Therefore, comprehensively identifying the factors that influence collaboration would contribute to understanding the reasons for inefficient collaboration, and exploring the relationships among these factors could provide guidance on promoting collaboration. This study presents a structural model and an impact mechanism model for collaboration through grounded theory, cluster analysis and variation coefficient analysis. The results suggest that there are five factors that influence collaboration: Equitable allocation and pressure from monitoring are pressure factors, governance cost and collaborative benefit are state factors, and governance responsibility is the individual factor. The pressure factors could affect collaboration by affecting state factors, while individual factor plays a moderating role between state factors and collaboration. The research findings provide new insights for promoting collaboration on carbon reduction.

Frontiers in Environmental ScienceVol. 13
Nanjing Forestry University (CN), Dalian University of Technology (CN)
Openalex Percentile: Top 80%
Sustainability and Climate Change Governance
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