Government ecological concern and its impact on synergistic pollution and carbon reduction: Evidence from China DOI
Xueyang Wang, Wenling Liu,

Xiumei Sun

et al.

Gondwana Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Can low carbon policies achieve collaborative governance of air pollution? Evidence from China's carbon emissions trading scheme pilot policy DOI
Shuai Shao,

Silu Cheng,

Ruining Jia

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 103, P. 107286 - 107286

Published: Sept. 22, 2023

Language: Английский

Citations

53
The synergy between pollution reduction and carbon reduction in Chinese cities and its influencing factors DOI
Kai Liu,

Guixiu Ren,

Shumin Dong

et al.

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

Published: March 13, 2024

Language: Английский

Citations

26
Synergizing policies for carbon reduction, energy transition and pollution control: Evidence from Chinese power generation industry DOI
Yujie Hu, Rui Zhang, Honglei Wang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 436, P. 140460 - 140460

Published: Jan. 1, 2024

Language: Английский

Citations

23
Spatio-temporal impacts of land use change on water-energy-food nexus carbon emissions in China, 2011–2020 DOI
Wenbin Li, Youjia Liang, Lijun Liu

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 105, P. 107436 - 107436

Published: Jan. 31, 2024

Language: Английский

Citations

22
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

2
Has China achieved synergistic reduction of carbon emissions and air pollution? Evidence from 283 Chinese cities DOI
Chen Yang, Ziheng Zhao, Yi Wen

et al.

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

Published: Sept. 13, 2023

Language: Английский

Citations

39
The impact of digital economy on industrial carbon emission efficiency at the city level in China: Gravity movement trajectories and driving mechanisms DOI Creative Commons

Zeng Li,

Xiaohong Chen,

Yuyao Ye

et al.

Environmental Technology & Innovation, Journal Year: 2023, Volume and Issue: 33, P. 103511 - 103511

Published: Dec. 30, 2023

Can the digital economy be a key driver of China's industrial green and low-carbon transformation, promoting growth urban reducing carbon emissions to achieve "win-win" development? The study measured emission efficiency (ICEE), analyzed spatiotemporal center gravity movement, investigated nonlinear spatial spillover effects on ICEE using panel data based 270 cities from 2005 2020 through super-efficient model, threshold econometric model. results were as follows: Chinese has generally improved over time, with its shifting west east, contrary trajectory emissions. effect presented an "N" shape increasing (0.240), decreasing (-0.037), then (0.145), rather than simple inverted "U" shape. When technology innovation was variable, exhibited inhibition followed by promotion (-0.185 0.345) direct positive effect. enhances local (0.118) generates (0.179) in neighboring cities. However, impact exhibits regional heterogeneity, radiating (0.117) eastern region opposite "siphon effect" (-0.330, -0.174) central western regions. It is crucial utilize sharing advanced concepts transcend geographical boundaries establish reduction synergy

Language: Английский

Citations

26
Exploring provincial carbon-pollutant emission efficiency in China: An integrated approach with social network analysis and spatial econometrics DOI Creative Commons
Chaoping Zhu,

Yixuan Su,

Ruguo Fan

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111662 - 111662

Published: Jan. 31, 2024

Carbon emissions and air pollutant in China share common sources. A thorough examination of carbon is imperative for a comprehensive understanding. This study aims to assess carbon-pollutant efficiency (CPEE) 30 Chinese provinces from 2006 2020, focusing on the integration emissions. Previous research CPEE limited, this article addresses gap by investigating its spatiotemporal characteristics identifying potential influencing factors. Our employs super-efficiency data envelopment analysis model, social network analysis, spatial econometric models. The results indicate that: (1) During period, provincial follows "W-shaped" trend exhibits "bimodal" asymmetric distribution, indicating notable regional heterogeneity. (2) Although correlations are unstable do not adhere strict hierarchical structure, positive spillover effects evident CPEE. (3) correlation displays various characteristics, including Matthew effect, external preference, siphoning altruistic tendency. (4) Apart technical input, explanatory variables affecting exert significantly negative direct impact. Furthermore, indirect effect energy intensity contradicts when economic distance considered weight setting. These findings provide valuable theoretical insights practical guidance improving synergistic effects.

Language: Английский

Citations

14
Synergistic disparities of pollution reduction and carbon mitigation in the industrial chain: Evidence from China's industrial sector DOI
Boqiang Lin, Yuqiang Teng

Environmental Research, Journal Year: 2024, Volume and Issue: 248, P. 118226 - 118226

Published: Jan. 28, 2024

Language: Английский

Citations

11
Integrating spatial carbon factors into ecological network construction in an energy-intensive megaregion toward multi-objective synergy in northern China DOI

Zhonggui Lu,

Yushuang Geng, Wei Li

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107480 - 107480

Published: Feb. 29, 2024

Language: Английский

Citations

10