Can Regional Integration Reduce Urban Carbon Emission? An Empirical Study Based on the Yangtze River Delta, China Article Swipe
Dongsheng Yan
,
Pingxing Li
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph20021395
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph20021395
Regional integration can significantly affect carbon emissions, but scholars have paid more attention to the impact of integration level, ignoring the importance of regional integration expansion. This study attempts to demonstrate whether, in the process of promoting carbon peak and carbon neutrality in China, the transformation of the administrative region’s economy into an integrated economy based on urban agglomeration regional integration expansion affects urban carbon emissions. This study considers the regional integration expansion of the Yangtze River Delta Urban Economic Coordination Committee as a quasi-natural experiment, exploring the carbon emission reduction effect of regional integration with the difference-in-differences model. With the mediating and moderating effect models, this study examines the mechanism of regional integration affecting urban carbon emissions. The results show that regional integration, considering regional integration expansion, can significantly reduce urban carbon emissions. The carbon emission reduction effects of regional integration show significant heterogeneity. For example, there is a significant carbon emission reduction effect of high-hierarchy cities and an insignificant carbon emission reduction effect of general-hierarchy cities. Further research into the driving mechanism finds that deepening collaborative governance, industrial structure optimization, and green technology promotion brought about by regional integration are important mechanisms influencing urban carbon emissions. In addition, the carbon emission reduction effect of regional integration is influenced by the level of urban marketization and development efficiency. Different from the existing studies focusing on the effects of regional integration level, this study assesses the feasibility of promoting urban green development through urban agglomeration regional integration expansion. Based on the relevant empirical research, we propose to better promote high-quality development by strengthening urban agglomeration cooperation, optimizing urban development paths, strengthening innovative development, and improving macro political systems. It also indicates that the relevant policies should be formulated after considering local conditions.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijerph20021395
- https://www.mdpi.com/1660-4601/20/2/1395/pdf?version=1673514733
- OA Status
- gold
- Cited By
- 20
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4315786594
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4315786594Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/ijerph20021395Digital Object Identifier
- Title
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Can Regional Integration Reduce Urban Carbon Emission? An Empirical Study Based on the Yangtze River Delta, ChinaWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-12Full publication date if available
- Authors
-
Dongsheng Yan, Pingxing LiList of authors in order
- Landing page
-
https://doi.org/10.3390/ijerph20021395Publisher landing page
- PDF URL
-
https://www.mdpi.com/1660-4601/20/2/1395/pdf?version=1673514733Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/1660-4601/20/2/1395/pdf?version=1673514733Direct OA link when available
- Concepts
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Regional integration, Urban agglomeration, Economic geography, Carbon fibers, Urbanization, Economic integration, Business, Environmental science, Natural resource economics, Geography, Economics, Economic growth, International trade, Computer science, Composite number, AlgorithmTop concepts (fields/topics) attached by OpenAlex
- Cited by
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20Total citation count in OpenAlex
- Citations by year (recent)
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2025: 12, 2024: 6, 2023: 2Per-year citation counts (last 5 years)
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37Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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