Spatial Network Analysis of CO<sub>2</sub> Emissions in Major Cities in China: Regional Structures and Influencing Factors
China’s rapid industrialization and urbanization have led to significant and imbalanced CO<sub>2</sub> emissions, putting pressure on achieving sustainable development goals. This study analyzed the CO<sub>2</sub> emissions of 31 major cities in China from different sectors (...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/14/2/82 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850082326638231552 |
|---|---|
| author | Yue Zhao Yuning Feng Mingyi Du Klaus Fraedrich Zehao Shen |
| author_facet | Yue Zhao Yuning Feng Mingyi Du Klaus Fraedrich Zehao Shen |
| author_sort | Yue Zhao |
| collection | DOAJ |
| description | China’s rapid industrialization and urbanization have led to significant and imbalanced CO<sub>2</sub> emissions, putting pressure on achieving sustainable development goals. This study analyzed the CO<sub>2</sub> emissions of 31 major cities in China from different sectors (total, power, industry, and transport) from 2019 to 2022. This study constructs a city-scale CO<sub>2</sub> emission correlation model to achieve nationwide and urban fine-scale research on CO<sub>2</sub> emission spatial networks from different sectors. This study revealed the following: (i) there is an increasing correlation among regions in China, and collaborative governance is crucial; (ii) there are differences in the structure, characteristics, and roles of CO<sub>2</sub> emission networks from different sectors; (iii) China’s CO<sub>2</sub> emission network is mainly concentrated in the northern and eastern regions, which play an important role in emission reduction; and (iv) the impact factors have different effects on CO<sub>2</sub> emissions from different sectors, and we should actively contribute to promoting emission reduction. Correctly understanding the spatial characteristics and influencing factors of CO<sub>2</sub> emissions can help us formulate targeted and efficient emission reduction policies. |
| format | Article |
| id | doaj-art-df1f45eb1e744fb39ad6adb002ebc40a |
| institution | DOAJ |
| issn | 2220-9964 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-df1f45eb1e744fb39ad6adb002ebc40a2025-08-20T02:44:32ZengMDPI AGISPRS International Journal of Geo-Information2220-99642025-02-011428210.3390/ijgi14020082Spatial Network Analysis of CO<sub>2</sub> Emissions in Major Cities in China: Regional Structures and Influencing FactorsYue Zhao0Yuning Feng1Mingyi Du2Klaus Fraedrich3Zehao Shen4School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaMax Planck Institute for Meteorology, 20146 Hamburg, GermanySchool of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaChina’s rapid industrialization and urbanization have led to significant and imbalanced CO<sub>2</sub> emissions, putting pressure on achieving sustainable development goals. This study analyzed the CO<sub>2</sub> emissions of 31 major cities in China from different sectors (total, power, industry, and transport) from 2019 to 2022. This study constructs a city-scale CO<sub>2</sub> emission correlation model to achieve nationwide and urban fine-scale research on CO<sub>2</sub> emission spatial networks from different sectors. This study revealed the following: (i) there is an increasing correlation among regions in China, and collaborative governance is crucial; (ii) there are differences in the structure, characteristics, and roles of CO<sub>2</sub> emission networks from different sectors; (iii) China’s CO<sub>2</sub> emission network is mainly concentrated in the northern and eastern regions, which play an important role in emission reduction; and (iv) the impact factors have different effects on CO<sub>2</sub> emissions from different sectors, and we should actively contribute to promoting emission reduction. Correctly understanding the spatial characteristics and influencing factors of CO<sub>2</sub> emissions can help us formulate targeted and efficient emission reduction policies.https://www.mdpi.com/2220-9964/14/2/82CO<sub>2</sub> emissionsspatial networksustainable development goals (SDGs)collaborative governance |
| spellingShingle | Yue Zhao Yuning Feng Mingyi Du Klaus Fraedrich Zehao Shen Spatial Network Analysis of CO<sub>2</sub> Emissions in Major Cities in China: Regional Structures and Influencing Factors ISPRS International Journal of Geo-Information CO<sub>2</sub> emissions spatial network sustainable development goals (SDGs) collaborative governance |
| title | Spatial Network Analysis of CO<sub>2</sub> Emissions in Major Cities in China: Regional Structures and Influencing Factors |
| title_full | Spatial Network Analysis of CO<sub>2</sub> Emissions in Major Cities in China: Regional Structures and Influencing Factors |
| title_fullStr | Spatial Network Analysis of CO<sub>2</sub> Emissions in Major Cities in China: Regional Structures and Influencing Factors |
| title_full_unstemmed | Spatial Network Analysis of CO<sub>2</sub> Emissions in Major Cities in China: Regional Structures and Influencing Factors |
| title_short | Spatial Network Analysis of CO<sub>2</sub> Emissions in Major Cities in China: Regional Structures and Influencing Factors |
| title_sort | spatial network analysis of co sub 2 sub emissions in major cities in china regional structures and influencing factors |
| topic | CO<sub>2</sub> emissions spatial network sustainable development goals (SDGs) collaborative governance |
| url | https://www.mdpi.com/2220-9964/14/2/82 |
| work_keys_str_mv | AT yuezhao spatialnetworkanalysisofcosub2subemissionsinmajorcitiesinchinaregionalstructuresandinfluencingfactors AT yuningfeng spatialnetworkanalysisofcosub2subemissionsinmajorcitiesinchinaregionalstructuresandinfluencingfactors AT mingyidu spatialnetworkanalysisofcosub2subemissionsinmajorcitiesinchinaregionalstructuresandinfluencingfactors AT klausfraedrich spatialnetworkanalysisofcosub2subemissionsinmajorcitiesinchinaregionalstructuresandinfluencingfactors AT zehaoshen spatialnetworkanalysisofcosub2subemissionsinmajorcitiesinchinaregionalstructuresandinfluencingfactors |