Solidarity or self-interest? Carbon footprint pressure measurement and spatial correlation in the Yangtze River Delta region DOI
Ran Qiu, Liying Yu

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 441, P. 140919 - 140919

Published: Jan. 30, 2024

Language: Английский

The spillover effects of digital technology innovation on carbon emissions in urban agglomerations: A perspective based on manufacturing investment networks and geospatial spillovers DOI
Shuoshuo Li, Ziyuan Zhang, Chien‐Chiang Lee

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106321 - 106321

Published: March 1, 2025

Language: Английский

Citations

1
Road to sustainable development of China: The pursuit of coordinated development between carbon emissions and the green economy DOI
Genjin Sun, Yanxiu Liu, Biao Li

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 139833 - 139833

Published: Nov. 27, 2023

Language: Английский

Citations

19
How does the digital economy affect ecological well-being performance? Evidence from three major urban agglomerations in China DOI Creative Commons
Liu Yang,

Zhili Ma,

Yang Xu

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 157, P. 111261 - 111261

Published: Nov. 15, 2023

The booming digital economy (DIG) has deeply altered the pattern of people's lives and production plays a key role in increasing human well-being achieving urban sustainability. This study investigates relationship between DIG ecological performance (EWP) agglomerations Yangtze River Delta (YRD), Beijing-Tianjin-Hebei (BTH) Pearl (PRD) from 2010 to 2020. main results are as follows. Overall, can significantly enhance EWP. In terms spatial spillover effect, there is no effect BTH YRD agglomerations, negative PRD agglomerations. overall that promotes growth EWP region, while increase neighboring regions will hinder enhancement region. regional heterogeneity, size direct contribution "PRD > BTH". Finally, technological innovation industrial structure optimization mechanism variables. offers direction for improving

Language: Английский

Citations

18
Spatial correlation network of municipal solid waste carbon emissions and its influencing factors in China DOI
Yuxin Gao, Ming Gao

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107490 - 107490

Published: March 26, 2024

Language: Английский

Citations

8
Synergizing economic growth and carbon emission reduction in China: A path to coupling the MFLP and PLUS models for optimizing the territorial spatial functional pattern DOI Creative Commons
Qin Jing, Dinghua Ou, Ziheng Yang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 929, P. 171926 - 171926

Published: March 27, 2024

Carbon emissions caused by economic growth are the main cause of global warming, but controlling to reduce carbon does not meet China's conditions. Therefore, how synergize and emission reduction is only a sustainable development issue for China, also significant mitigating warming. The territorial spatial functional pattern (TSFP) carrier coordinating emissions, establish TSFP remains unresolved. We propose decision framework optimizing coupled with multi-objective fuzzy linear programming patch-generating land use simulation model, provide new path in China. To confirm reliability, we took Qionglai City as demonstration. results found spatiotemporal coupling between synergistic effect (q ≥ 0.8220), which resolves theoretical uncertainty about synergizing through TSFP. urban space 2025 2030 obtained was 6497.57 hm2 6628.72 respectively, distributed central eastern regions; rural 60,132.92 56,084.97 hm2, concentrated east, few located west; ecological 71,072.52 74,998.31 mainly western southeastern areas. Compared 2020, intensity that realized synergy (decoupling index 0.25 0.21, respectively) reduced 0.7 4.7 tons/million yuan, respectively. Further confirming an effective way reduction, can policy implications China even similar developing countries.

Language: Английский

Citations

8
Diffusion of “dual carbon” policies among Chinese cities: A network evolution analysis DOI
Jiaming Wang, Ling Jia, Yiyi Wang

et al.

Energy, Journal Year: 2024, Volume and Issue: 300, P. 131514 - 131514

Published: May 7, 2024

Language: Английский

Citations

8
The mechanism and path of pollution reduction and carbon reduction affecting high quality economic development - taking the Yangtze River Delta urban agglomeration as an example DOI
Xiaolong Chen,

Qianbin Di,

Chenlu Liang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 376, P. 124340 - 124340

Published: Aug. 29, 2024

Language: Английский

Citations

8
How does urban innovation affect construction land use change in China? An analysis based on the network linkage perspective DOI

Haimeng Shi,

Qiao Li, Sun Zhang

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 249, P. 123676 - 123676

Published: March 14, 2024

Language: Английский

Citations

7
Did China's energy consumption permit trading scheme improve green economic efficiency? Prefecture-level evidence from China DOI
Yuxin Gao, Ming Gao

Energy, Journal Year: 2024, Volume and Issue: 308, P. 132744 - 132744

Published: Aug. 8, 2024

Language: Английский

Citations

7
The Impact of Green Finance and Digital Economy on Regional Carbon Emission Reduction DOI Creative Commons

Yanpeng Wang,

Lianbiao Cui, Jie Zhou

et al.

International Review of Economics & Finance, Journal Year: 2024, Volume and Issue: unknown, P. 103748 - 103748

Published: Nov. 1, 2024

Language: Английский

Citations

7