Influential Nodes Identification in the Air Pollution Spatial Correlation Weighted Networks and Collaborative Governance: Taking China’s Three Urban Agglomerations as Examples
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- Lijie He & Ying Liu & Peipei He & Hao Zhou, 2019. "Relationship between Air Pollution and Urban Forms: Evidence from Prefecture-Level Cities of the Yangtze River Basin," IJERPH, MDPI, vol. 16(18), pages 1-21, September.
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Cited by:
- Feipeng Guo & Linji Zhang & Zifan Wang & Shaobo Ji, 2022. "Research on Determining the Critical Influencing Factors of Carbon Emission Integrating GRA with an Improved STIRPAT Model: Taking the Yangtze River Delta as an Example," IJERPH, MDPI, vol. 19(14), pages 1-20, July.
- Jiancheng Li, 2023. "Structural Characteristics and Evolution Trend of Collaborative Governance of Air Pollution in “2 + 26” Cities from the Perspective of Social Network Analysis," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
- Zhaoxian Su & Yang Yang & Yun Wang & Pan Zhang & Xin Luo, 2023. "Study on Spatiotemporal Evolution Features and Affecting Factors of Collaborative Governance of Pollution Reduction and Carbon Abatement in Urban Agglomerations of the Yellow River Basin," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
- Wei Zhou & Feipeng Guo, 2022. "Precise Supervision of Enterprise Environmental Protection Behavior Based on Boolean Matrix Factorization under Low Carbon Background," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
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Keywords
influential nodes identification; air pollution; complex network; China’s three major urban agglomerations; carbon peak and carbon neutrality; collaborative governance;All these keywords.
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