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

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 144777 - 144777

Опубликована: Янв. 1, 2025

Язык: Английский

Assessment of the co-benefits of China's carbon trading policy on carbon emissions reduction and air pollution control in multiple sectors DOI

Botong Xian,

Yanan Wang,

Yalin Xu

и другие.

Economic Analysis and Policy, Год журнала: 2024, Номер 81, С. 1322 - 1335

Опубликована: Янв. 23, 2024

Язык: Английский

Процитировано

35

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

Guixiu Ren,

Shumin Dong

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 106, С. 105348 - 105348

Опубликована: Март 13, 2024

Язык: Английский

Процитировано

27

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, Год журнала: 2025, Номер unknown, С. 106154 - 106154

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

7

Impact of Digitization and Artificial Intelligence on Carbon Emissions Considering Variable Interaction and Heterogeneity: An Interpretable Deep Learning Modeling Framework DOI

Gongquan Zhang,

Shenglin Ma, Mingxing Zheng

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106333 - 106333

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

7

Spatio-temporal evolution and drivers of coupling coordination between digital infrastructure and inclusive green growth: Evidence from the Yangtze River economic belt DOI
Tonghui Yu, Yu Zhang, Shanshan Jia

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 376, С. 124416 - 124416

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

4

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

и другие.

Ecological Indicators, Год журнала: 2025, Номер 170, С. 113103 - 113103

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

3

Structural effects of provincial digital economy on carbon emissions within China: A multi-region input-output based structural decomposition analysis DOI
Jingke Hong,

He Huang,

Xianzhu Wang

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 934, С. 173140 - 173140

Опубликована: Май 15, 2024

Язык: Английский

Процитировано

17

The impact of digital inclusive finance on the collaborative reduction of pollutant and carbon emissions: spatial spillover and mechanism analysis DOI
Yan Bu, Jingchen Gao,

Wei Zhang

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 365, С. 121550 - 121550

Опубликована: Июнь 21, 2024

Язык: Английский

Процитировано

17

Path to pollution and carbon reduction synergy from the perspective of the digital economy: Fresh evidence from 292 prefecture-level cities in China DOI
Chenlu Liang, Xiaolong Chen,

Qianbin Di

и другие.

Environmental Research, Год журнала: 2024, Номер 252, С. 119050 - 119050

Опубликована: Май 8, 2024

Язык: Английский

Процитировано

16

Blue Sky Protection Campaign: Assessing the Role of Digital Technology in Reducing Air Pollution DOI Creative Commons
Yang Shen, Xiuwu Zhang

Systems, Год журнала: 2024, Номер 12(2), С. 55 - 55

Опубликована: Фев. 5, 2024

Air pollution severely threatens people’s health and sustainable economic development. In the era of digital economy, modern information technology is profoundly changing way governments govern, production mode enterprises, living behavior residents. Whether can bring ecological welfare needs to be further studied. Based on panel data from 269 Chinese cities 2006 2021, this study empirically examines impact air by using two-way fixed effect model. The results show that will significantly reduce concentration fine particles in help protect atmospheric environment. are still valid after interactive model two-stage least square method robustness test causality identification. Digital also promoting green innovation, improving energy efficiency, easing market segmentation. reducing heterogeneous. plays a more substantial role resource-based areas with high degree modernization commodity supply chain. positive affected amount pollutants emitted. When PM2.5 high, protecting atmosphere strongly highlighted. This research beneficial exploration environment while building an civilization society. conclusion urban managers, public, business operators entirely use equipment such as 5G, remote sensing, Internet Things their respective fields

Язык: Английский

Процитировано

14