Digital economy: a driver for smart carbon reduction DOI

Yongling Wang,

Kan Liu,

Yifan Liu

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 27, 2024

Language: Английский

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

1

Digital Innovations Driving Urban Sustainability: Key Factors in Reducing Carbon Emissions DOI Open Access
Zhenggang Fang, Ziyang Liu

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2186 - 2186

Published: March 3, 2025

The digital economy is crucial in facilitating cities’ green and low-carbon transformations, balancing economic growth with environmental sustainability. However, its role mitigating urban carbon emissions remains underexplored existing research. This study examines how technologies contribute to emission reduction by integrating circular theory behavioral economics theory. Based on expert interviews a systematic literature review, the research applies Decision-Making Trial Evaluation Laboratory Interpretive Structural Modeling (DEMATEL-ISM) methodology identify 13 key factors driving transitions. findings highlight that economy-driven transformation, infrastructure development e-commerce logistics optimization are pivotal for reducing emissions. offers theoretical insights into economy’s development. It also provides practical guidance policymakers, managers businesses. These strategies can enhance energy efficiency, reduce promote ecological

Language: Английский

Citations

1

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

7

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

0

Greening the Urban Landscape: Smart City Initiatives and Pollution Reduction in China DOI Creative Commons

Quan-Hui Liu,

Paijie Wan

Systems, Journal Year: 2025, Volume and Issue: 13(3), P. 165 - 165

Published: Feb. 27, 2025

With the rapid development of China’s economy, issue environmental pollution during urbanization has become increasingly prominent, posing a significant threat to residents’ health and quality life. While existing studies have explored economic impacts smart city initiatives their effects on carbon emissions, relationship between policies urban emissions remains underexplored. This study fills this gap by examining impact pilot pollutant using panel data from 280 Chinese cities (2007–2021) multi-period DID model. The findings demonstrate that construction effectively reduces level in cities, with effect persisting even after conducting various robustness tests. Furthermore, our mechanism analysis reveals upgrading industrial structure, enhancing green innovation capabilities, improving energy efficiency are crucial means which mitigates emissions. Additionally, we identify enhancement digital infrastructure reinforcement regulations can enhance mitigation efficacy development. suppressive is more pronounced non-resource-based cities.

Language: Английский

Citations

0

Adhering to systems thinking to promote the digital economy and carbon emission reduction—a provincial-level study in China DOI
Shuanglei Xu

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

Language: Английский

Citations

0

Digital Finance and Reduction of Pollution and Carbon Emissions: A Case Study of China by Considering the Mediating, Moderating and Spatial Spillover Effects DOI Open Access

Haiyang Qiu,

Xin Li, Jian Kang

et al.

Geological Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

ABSTRACT In the digital age, using tools to promote environmental governance has gained significant attention. Digital finance (DF) integrates financial systems with technologies, offering a new financing channel and mechanism for collaboratively reducing pollutants carbon emissions (RPCEs). This paper explores multifaceted impact of DF on RPCE, China as case study. Utilising panel data from 30 provinces in 2011 2021, study applies benchmark regression, mediation, moderation spatial econometric models empirically analyse DF's effects mechanisms RPCE. The findings revealed that: (1) positively influences industrial structure upgrading playing key role this process. (2) RPCE varies across regions e‐government demonstration zones China, showing stronger central zones. (3) can be strengthened by increasing green fiscal expenditure. (4) negative spillover effect neighbouring areas was witnessed, where local development inhibited growth adjacent through ‘siphon effect’. As result, modern system should tailored regional characteristics while accelerating upgrading. By leveraging expenditure regulations, potential fully realised, creating synergistic

Language: Английский

Citations

0

Uncovering the Triple Synergy of New-Type Urbanization, Greening and Digitalization in China DOI Creative Commons
Qiangyi Li,

Jiexiao Ge,

Mingyu Huang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 1017 - 1017

Published: July 8, 2024

The in-depth discussion and analysis of the synergistic effect new-type urbanization, greening digitalization (NUGD) is important for achievement sustainable social, ecological economic development. Therefore, in this study, an evaluation index system composed these three subsystems was constructed Chinese cities from 2011 to 2021. comprehensive collaborative development levels each subsystem were measured by means including entropy weight method coupling coordination model, respectively. Then, methods such as ESDA Dagum Gini coefficient applied investigate spatiotemporal evolution spatial differences triple synergy NUGD cities. Finally, constraining factors revealed using obstacle degree model. findings demonstrated following: (1) Overall, their increasing, with moderate overall levels. (2) exhibited upward trend. Spatially, level showed distinct differentiation, being higher east lower west. multidimensional dynamic variation characteristics obtained through kernel density estimation that exhibits high stability. (3) within between eastern western areas largest, intensity transvariation main source. (4) five criterion layers, social urbanization variables, key constraints affected cities, restrictive role proportion urban construction land per capita postal business volume should not be ignored. This study provides a valuable reference decision-making guidance promote China’s acceleration toward new path supported both green transformation.

Language: Английский

Citations

3

Exploring the Influence of Digital Economy Growth on Carbon Emission Intensity Through the Lens of Energy Consumption DOI Open Access

Rujun Zhao,

Hai Chen, Xiaoying Liang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9369 - 9369

Published: Oct. 29, 2024

Exploring the impact of new economic forms such as digital economy (DE) on carbon emissions is crucial for China’s “dual carbon” goals. This paper assesses DE emission intensity (CI) from a 2011–2021 perspective energy consumption in 30 provinces (Hong Kong, Macao, Taiwan, and Tibet are excluded) by using double fixed-effects model evaluating DE. Based results 2011 to 2021, (1) CI differ spatially temporally. In contrast CI, shows pattern low northwest high southeast. The changes similar Hu Huanyong’s line, with considerable southeast, especially coastal region. (2) Chinese DE’s control effects (−0.027) vary A significant negative effect seen both eastern western regions, region having greatest (−0.030), positive but insignificant central (3) Total (TEC), structure (EC) efficiency (EI) all pathways its influence. Path China mainly dominated dual paths (Accounting over 47%), fewer single multiple paths. Among them, main path types TEC EC east EC, EI regions; meanwhile, unchanged most China, changed west. these findings, development policies based regional differentiation reducing emissions.

Language: Английский

Citations

1

The Driving Effect of Digital Economy on Interregional Collaborative Governance of Carbon Reduction: A Case Study of the Beijing-Tianjin-Hebei Region DOI Creative Commons
Kangkang Zhang

Sustainable Futures, Journal Year: 2024, Volume and Issue: unknown, P. 100416 - 100416

Published: Dec. 1, 2024

Language: Английский

Citations

1