Strategic Foundations and Mechanisms for Green Development in Countries and Regions of North Asia DOI
Svetlana Ayusheeva, Н Б Лубсанова, Anna Mikheeva

et al.

Regional Research of Russia, Journal Year: 2024, Volume and Issue: 14(S2), P. S222 - S238

Published: Dec. 1, 2024

Language: Английский

Exploring artificial intelligence and urban pollution emissions: "Speed bump" or "accelerator" for sustainable development? DOI

Qingfeng Luo,

Pengcheng Feng

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 463, P. 142739 - 142739

Published: May 29, 2024

Language: Английский

Citations

16
Enhancing natural resource efficiency through digital government: Evidence from the utilization of energy, water, and land resources DOI

Jingru Xu,

Baochen Yang, Chunlai Yuan

et al.

Resources Policy, Journal Year: 2024, Volume and Issue: 94, P. 105117 - 105117

Published: June 5, 2024

Language: Английский

Citations

10
Digital trade, trade openness, FDI, and green total factor productivity DOI
Siwei Dai,

Daoyun Tang,

Yunfeng Li

et al.

International Review of Financial Analysis, Journal Year: 2024, Volume and Issue: 97, P. 103777 - 103777

Published: Nov. 10, 2024

Language: Английский

Citations

10
How can carbon trading promote the green innovation efficiency of manufacturing enterprises? DOI Creative Commons
Mei‐Ling Wang, Xinyu Wang, Zichen Liu

et al.

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 53, P. 101420 - 101420

Published: May 1, 2024

Effectively improving the green innovation efficiency (GIE) in manufacturing is an important way to break through environmental and energy constraints. This study explored multiple mechanisms of carbon trading GIE using a sample A-share listed enterprises China from 2015 2020. The findings indicated that (1) has significant promoting effect on enterprises; (2) promotes by increasing government subsidies, research development investment, financing constraints; (3) single threshold GIE. When price (CTP) at or below value, 1% increase CTP results 0.0785% GIE; when exceeds promotion weakens 0.0498%. value varies according heterogeneity property rights technical intensity. should guide CTPs optimal range, provide reward-punishment mechanisms, formulate stringent but distinct policies specific characteristics enterprises. enriches cutting-edge literature economics expands boundaries enterprise GIE, which also helps improve market provides micro-level theoretical guidance deepen policy practice.

Language: Английский

Citations

5
Moving toward sustainable goals 7 and 13: An inclusive mechanism to achieve environmental sustainability through digitalization and energy transition in OECD countries DOI
Muhammad Sheraz, Quande Qin, Muhammad Zubair Mumtaz

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 369, P. 122288 - 122288

Published: Aug. 31, 2024

Language: Английский

Citations

4
A New Driving Force of Regional Sustainable Development: Green Transition DOI Creative Commons
Shengxia Xu, Lirong Wang, Yaru Zhang

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

A comprehensive framework on the relationship between green transition and regional sustainable development is constructed, a two-step geometric average method proposed to measure transition, seeking reveal mechanisms influences of economy. Meanwhile, first, may contribute not only economic growth but also economies, competitiveness technological innovation spillovers has risen significantly as key factor in process. Second, one hand, nonlinear be presented for different “U-shaped” trends at national level; other dimensional heterogeneity effect transformation fully release dividends by improving quality environmental governance capacity. Third, external shocks, such COVID-19, growth, gap have requirements transition. Moreover, two influenced time period, which presents long-term or short-term sliding window characteristics.

Language: Английский

Citations

0
Interactive optimization of electric vehicles and park integrated energy system driven by low carbon: An incentive mechanism based on Stackelberg game DOI

Shaobo Shi,

Yuehui Ji,

Lewei Zhu

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134799 - 134799

Published: Feb. 1, 2025

Language: Английский

Citations

0
Management of Carbon Emissions Throughout the Building Life Cycle Based on the Analytic Hierarchy Process DOI Creative Commons

Jinyang Zheng,

Zhipeng Lü, Yang Ding

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(4), P. 592 - 592

Published: Feb. 14, 2025

The severe global warming driven by the large-scale emission of greenhouse gases has made reduction carbon emissions a critical priority for economic and social development. Among various sectors, construction industry stands out due to its significant consumption natural resources throughout building process, resulting in considerable environmental burden. In China, from account approximately 40% total emissions. Therefore, mitigating this sector is utmost importance. This study develops an evaluation model low-carbon production management enterprises, utilizing Analytic Hierarchy Process (AHP). Through case study, research identifies practical challenges implementing offers actionable recommendations. Theoretically, provides valuable reference future on energy conservation industry. practice, it guidance enterprises achieving transition.

Language: Английский

Citations

0
Multi-scale coupling quantitative assessment of ecological-urban resilience in the Yangtze River Economic Belt DOI Creative Commons
Jinyang Wang, Zhenfeng Shao,

Qingwei Zhuang

et al.

Geo-spatial Information Science, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: April 9, 2025

Language: Английский

Citations

0
The influence of spatial form of different functional blocks on pollution reduction and carbon reduction: Evidence from Hefei City DOI
Wenshan Su,

Junqi Wu,

Chunsen Hu

et al.

Indoor and Built Environment, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Air pollution (PE) and carbon emissions (CE) are obstacles to achieving the Sustainable Development Goals (SDGs) globally. The development intensity spatial form of urban blocks could affect PE-CE. relationship between these factors PE-CE was investigated in this study. results showed that: (1) distribution various that PE consistent with normalized difference vegetation index (NDVI), average height (AH) building density (BD), while CE BD, floor area ratio (FAR) otherness (BO). Neighbourhoods high NDVI have low CE. (2) Correlation analysis shows general, FAR, BO were positively correlated, negatively correlated. correlation other different functional has its own characteristics. (3) For interpretation random forest model, FAR a strong all areas. CE, 50% public blocks, 19% residential 28% industrial blocks. PE, 29%. (4) AH most frequently judged as important factors. key affecting AH. Public block (AREA). Industrial AREA, BD BO.

Language: Английский

Citations

0