Impact Factors of Industrial Pollution and Carbon Reduction under the “Dual Carbon” Target: A Case Study of Urban Aggregation in the Pearl River Delta and Yangtze River Delta DOI Open Access

Xiaoyi Wen,

Shangjiu Wang, Shaoyong Li

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 1879 - 1879

Published: Feb. 25, 2024

China is facing pressure to reduce carbon emissions and control pollution. Promoting the synergy between pollution reduction has become an inevitable choice achieve construction of a beautiful meet dual target. This study examines main factors influencing industrial in Pearl River Delta (PRD) Yangtze (YRD) urban agglomerations based on data CO2 local air pollutants (LAP) from 2002 2021, using random forest regression model. The results indicate that (1) have increased overall, while intensity decreased. Additionally, both LAP (2) factor proportion value added above scale. R&D internal expenditure GDP total trade imports exports are emissions. fume dust removal rate mainly affects (3) There clear non-linear relationship CO2- LAP-influencing emissions, which can be attributed scale effect factor, lagging expenditure, inappropriate treatment “three wastes” by relevant departments non-linear. PRD YRD should prioritize upgrading transforming their structures, promoting impact foreign reduction, achieving balance sustainable economic development environmental protection.

Language: Английский

Revealing the synergy between carbon reduction and pollution control in the process of new-type urbanization: Evidence from China's five major urban agglomerations DOI
Kewen Wang, Chuanglin Fang

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106154 - 106154

Published: Jan. 1, 2025

Language: Английский

Citations

7

Spatiotemporal evolution and driving factors of the synergistic effects of pollution control and carbon reduction in China DOI Creative Commons
Qinggang Meng, Xiaolan Chen, Hui Wang

et al.

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

Published: Jan. 1, 2025

Language: Английский

Citations

3

The impact and mechanism analysis of Clean Development Mechanism on the synergistic effects of pollution mitigation and carbon reduction DOI

Yifei Xu,

Jiachao Peng, Jiali Tian

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 260, P. 119659 - 119659

Published: July 20, 2024

Language: Английский

Citations

11

How public environmental appeals affect the collaborative governance in pollution and carbon reduction: Evidence from spatial effects across Chinese cities DOI
Ning Zhao,

Meilin Jin,

Zhaoxuan Qiu

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 256, P. 119249 - 119249

Published: May 27, 2024

Language: Английский

Citations

10

Synergistic reduction of air pollutants and carbon emissions in Chengdu-Chongqing urban agglomeration, China: Spatial-temporal characteristics, regional differences, and dynamic evolution DOI

Shujiang Xiang,

Xianjin Huang, Nana Lin

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144929 - 144929

Published: Feb. 1, 2025

Language: Английский

Citations

2

Synergistic policy effects of digitization in reducing air pollution and addressing climate change in China DOI
Weidong Chen,

Shing Tsung Hu,

Yong Liu

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 124730 - 124730

Published: March 17, 2025

Language: Английский

Citations

2

Analyzing the dynamic changes and causes of greenspace landscape patterns in Beijing plains DOI Creative Commons

Fan Feng,

Lili Wang,

Wenxing Hou

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111556 - 111556

Published: Jan. 1, 2024

Beijing Plain is an important region for ecological planning and management. In the past decade, human activities have dramatically changed spatial landscape patterns of greenspaces in Plains. However, very few studies assessed main causative factors these changes. Herein, we analyzed Plains between 2015 2020 using multi-source remote sensing data, geographical information system, pattern index. Additionally, utilized gray correlation analysis to quantitatively analyze contributing dynamic changes greenspace patterns. We found that showed a gradual increase annually from 2020. Further, conversion types throughout study period mainly included interconversion woodland cropland, water, impervious surfaces. The transfer out woodlands has been decreasing while increasing. Grassland shrubs were almost entirely converted into other land use types. fragmentation overall reduced, aggregation increased, patches tended be fully distributed, connected, simpler, concentrated, regular. advantages landscapes gradually becoming more evident. Population urbanization, rapid economic growth, policies affecting findings provide scientific reference adjust structure, transform upgrade existing greenspaces, ensure sustainable development cities.

Language: Английский

Citations

7

Spatial correlation network on synergy between carbon reduction and pollution control in key areas for air pollution prevent and control DOI
Xiaoping Zhang, Yujie Wei,

Tianyu Wang

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144777 - 144777

Published: Jan. 1, 2025

Language: Английский

Citations

1

Transportation development paths in 30 provinces of China in the context of carbon quota allocation DOI
Keke Ji,

Qing Yang,

Liang Dong

et al.

Journal of Transport Geography, Journal Year: 2025, Volume and Issue: 123, P. 104148 - 104148

Published: Feb. 1, 2025

Language: Английский

Citations

1

Provincial equity and enhanced health are key drivers for China's 2060 carbon neutrality DOI
Jiaxin Dong, Siwei Li, Yisheng Sun

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 473, P. 143531 - 143531

Published: Aug. 30, 2024

Language: Английский

Citations

4