Research on the impact of digital trade and energy consumption DOI
Siyu Zhang,

Songlan Zhou,

Mengxin Wang

et al.

Urban Resilience and Sustainability, Journal Year: 2024, Volume and Issue: 2(4), P. 307 - 325

Published: Jan. 1, 2024

<p>This study investigates the impact of digital trade on energy consumption, as well its mechanism, from 2014 to 2022 by developing a evaluation index system. We find that growth can reduce per capital consumption and also passes various robustness tests. The main influencing mechanism is affects structure transformation changes in final demand, which results lower consumption. In terms spatial distribution, decreases more eastern regions promotes reduction less central regions, whereas there no significant correlation western regions. findings extend benefits beyond economic social welfare provide consultation for economy green development.</p>

Language: Английский

Empowerment of Digital Technology for the Resilience of the Logistics Industry: Mechanisms and Paths DOI Creative Commons
Ji‐Feng Zhang, Zirui Yang, Bing He

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(8), P. 278 - 278

Published: July 31, 2024

Digital technology, acting as an engine for industrial development, propels the rapid integration of data elements and swift iteration digital logistics significantly enhancing logistic resilience. Exploring impact technology on resilience helps strengthen latter’s ability to withstand external shocks. Based correlation between industry, this study measured their levels in 275 Chinese prefecture-level cities from 2011 2020, showing that former improved latter, a conclusion which remained valid after robustness tests. The mechanism analysis results showed promoting collaborative agglomeration was important part process, while threshold model found had nonlinear characteristics. heterogeneity test significant resilience-promoting effect eastern northern coastal regions, well middle reaches Yellow Yangtze Rivers. Accordingly, it is necessary accelerate with industry formulate differentiated development strategies. This provides theoretical foundation exploring relationship resilience, policy recommendations.

Language: Английский

Citations

15
Does the digital economy contribute to China’s energy transition? DOI

Wenfei Song,

Xianfeng Han

Economic Change and Restructuring, Journal Year: 2024, Volume and Issue: 57(5)

Published: Sept. 10, 2024

Language: Английский

Citations

3
Mechanism and spatial spillover effect of the digital economy on urban carbon Productivity: Evidence from 271 prefecture-level cities in China DOI
Ke Li, Hongxia Wang, Xuan Xie

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 382, P. 125435 - 125435

Published: April 18, 2025

Language: Английский

Citations

0
Urban low-carbon governance and ecological efficiency: new evidence from prefecture-level cities in China DOI Creative Commons
Jiaqi Liu, Kexin Xu,

Dian Jin

et al.

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 12

Published: Sept. 3, 2024

Introduction In the search for sustainable development, urban eco-development is becoming a core agenda all countries. China’s low-carbon city pilot (LCCP) policy an important initiative to promote governance. And exploring direction of LCCP step towards development. Methods Super-SBM employed calculate ecological efficiency using panel data from 254 prefecture-level cities between 2007 and 2020. The methods kernel density estimation spatial Markov chains are applied analysis efficiency. analyses examine spatiotemporal patterns dynamic evolving trends Additionally, multiperiod difference-in-differences method used assess impact on On this basis, we apply mechanism discuss influence mechanism. Results results indicate that gradually forms continuous clustering pattern, although there widening tendency in absolute differences. subsequent transfer process, factor plays highly significant role. Benchmark regressions auxiliary robustness tests demonstrate effective improving Further shows effect policies can be transmitted by promoting green technology innovation as well facilitating transition energy mix. above findings presence "Green Innovation Effect" "Decoupling Effect". Discussion These discoveries enhance theoretical framework ecology offer valuable insights other regions seeking implement

Language: Английский

Citations

2
Research on the impact of digital trade and energy consumption DOI
Siyu Zhang,

Songlan Zhou,

Mengxin Wang

et al.

Urban Resilience and Sustainability, Journal Year: 2024, Volume and Issue: 2(4), P. 307 - 325

Published: Jan. 1, 2024

<p>This study investigates the impact of digital trade on energy consumption, as well its mechanism, from 2014 to 2022 by developing a evaluation index system. We find that growth can reduce per capital consumption and also passes various robustness tests. The main influencing mechanism is affects structure transformation changes in final demand, which results lower consumption. In terms spatial distribution, decreases more eastern regions promotes reduction less central regions, whereas there no significant correlation western regions. findings extend benefits beyond economic social welfare provide consultation for economy green development.</p>

Language: Английский

Citations

0