The synergy between pollution reduction and carbon reduction in Chinese cities and its influencing factors

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105348 - 105348

Published: March 13, 2024

Language: Английский

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Governance effects of pollution reduction and carbon mitigation of carbon emission trading policy in China

Environmental Research, Journal Year: 2024, Volume and Issue: 252, P. 119074 - 119074

Published: May 4, 2024

Language: Английский

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Spatiotemporal evolution and driving factors of the synergistic effects of pollution control and carbon reduction in China

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113103 - 113103

Published: Jan. 1, 2025

Language: Английский

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Has China achieved synergistic reduction of carbon emissions and air pollution? Evidence from 283 Chinese cities

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 103, P. 107277 - 107277

Published: Sept. 13, 2023

Language: Английский

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Industrial carbon emission efficiency prediction and carbon emission reduction strategies based on multi-objective particle swarm optimization-backpropagation: A perspective from regional clustering

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 906, P. 167692 - 167692

Published: Oct. 10, 2023

Language: Английский

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Examining the characteristics and influencing factors of China's carbon emission spatial correlation network structure

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111726 - 111726

Published: Feb. 1, 2024

To facilitate rational regional emission targets and enhance nationwide reduction efforts, this study systematically examines carbon spatial correlations. Using social network analysis (SNA), we investigated the China Carbon Emission Spatial Correlation Network (CCESCN) from 2011 to 2020. The network's structure gradually evolved with strong stability. associations loosened, correlations reduced over time. Jiangsu Shandong had spillover effects, while Shanghai, Zhejiang, Beijing, Tianjin received emissions other regions. Jiangsu, Shandong, Anhui, Zhejiang played core roles, Guangdong, Beijing acted as intermediaries. Different levels of regions are interacting more integration is increasing. Regions were grouped into four functionally different blocks. Industry proportion urbanization influenced sending relationships, openness, industry proportion, energy efficiency, affected receiving relationships. Geographic, information, transportation, innovation distances also roles in CCESCN

Language: Английский

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Spatial correlation network structure of carbon emission reduction capacity on urban agglomerations and its driving factors: A perspective of Sustainable Development Goals

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105646 - 105646

Published: July 7, 2024

Language: Английский

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Co-benefits and influencing factors exploration of air pollution and carbon reduction in China: Based on marginal abatement costs

Environmental Research, Journal Year: 2024, Volume and Issue: 252, P. 118742 - 118742

Published: April 2, 2024

Language: Английский

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Could environmental regulation effectively boost the synergy level of carbon emission reduction and air pollutants control? Evidence from industrial sector in China

Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: 15(8), P. 102173 - 102173

Published: April 27, 2024

Language: Английский

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Digital Transformation and Synergistic Reduction in Pollution and Carbon Emissions——An Analysis from a Dynamic Capability Perspective

Environmental Research, Journal Year: 2024, Volume and Issue: 261, P. 119683 - 119683

Published: Aug. 3, 2024

Language: Английский

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