Investigating the Biodiversity Conservation Capability of Technological Innovation and FinTech DOI Creative Commons

Shayan Khan Kakar,

Jing Wang, Noman Arshed

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e40683 - e40683

Published: Nov. 26, 2024

Language: Английский

China's Energy System Building Toward an Era of Resilience: How Green Fintech Can Empower? DOI Creative Commons
Yarong Shi, Bo Yang

International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 103876 - 103876

Published: Jan. 1, 2025

Language: Английский

Citations

4
Digitalisation and technological innovation: panaceas for sustainability? DOI
Xiaoqing Wang, Kai‐Hua Wang,

Baochang Xu

et al.

International Journal of Production Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: Feb. 26, 2025

Language: Английский

Citations

3
The Impact of Circular Economy, Sustainable Infrastructure, and Green FinTech on Biodiversity in Europe: A Holistic Approach DOI

Shayan Khan Kakar,

Jing Wang, Noman Arshed

et al.

Technology in Society, Journal Year: 2025, Volume and Issue: unknown, P. 102841 - 102841

Published: Feb. 1, 2025

Language: Английский

Citations

2
Exploring the Dynamic Evolution and Drivers of the Coupled Coordination Relationship of Carbon Emission Efficiency and Economic Benefits in Construction Land Development DOI Creative Commons

Peixing Zhang,

Tianlu Jin,

Yuqi Wang

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(5), P. 759 - 759

Published: Feb. 26, 2025

In the pursuit of sustainable urban development, construction land development (CLD) not only carries important mission promoting economic growth but also needs to actively respond environmental requirements reducing carbon emissions. However, there is a tension and balance between these two objectives. This study explores evolution characteristics influencing mechanisms synergistic relationship emission efficiency benefits CLD based on undesirable slacks-based measurement, coupling coordination degree (CCD) model, Tapio decoupling spatial convergence interpretable machine learning techniques. The main conclusions are as follows: (1) CCR CEE in China shows characteristic “improvement-stability-local decline”, it higher eastern region than central western regions. (2) (CEE) 2003 2023 diverse trends different provinces time scales China. (3) China’s consistent with σ-convergence β-convergence, gap level inter-regional co-ordination has narrowed. On contrary, regions do pass σ β-convergence tests, regional equilibrium be improved. (4) descending order influence CCR, they ownership structure, per capita, energy consumption unit gross domestic product, industrial foreign trade investment intensity.

Language: Английский

Citations

1
Spatial Complex Correlation Characteristics of Carbon Emissions and Carbon Transboundary Transfer: Assessment of the Carbon Footprint in Four Mega-Urban Agglomerations in China DOI

YU Cheng-xue,

Hongbo Zheng,

Tong Xu

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
The influence of industrial expansion on carbon dioxide emissions in China: The interplay of financial development and renewable energy DOI Creative Commons

Atef Dallali,

Mehdi Ben Jebli, Imen Gam

et al.

Environmental Progress & Sustainable Energy, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Abstract Industrial expansion in China often results heightened carbon dioxide (CO 2 ) emissions due to manufacturing processes' energy‐intensive nature. Nevertheless, embracing clean technologies driven by renewable energy sources offers a means counteract these emissions. Through diminishing dependence on carbon‐intensive sources, such as coal, provides hopeful avenue for alleviating the environmental repercussions of industrial operations. The study examines how growth, financial development index and affect CO from 1980 2021, using linear Autoregressive Distributed Lag (ARDL) approach. It also includes economic growth non‐renewable explanatory variables. variables are found be integrated order one, Fisher‐statistic test indicates long‐run relationship between them. analysis shows that energy, help reduce emissions, while value‐added increase effect interaction energies contributes emission reduction. This Chinese government is pursuing policy synchronized with use promotion technologies.

Language: Английский

Citations

0
The ecological impact of agricultural production on CO2 emissions in India: Pathways to sustainable agriculture DOI
Ionuț Nica, Irina Georgescu

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 384, P. 125548 - 125548

Published: April 29, 2025

Language: Английский

Citations

0
Spatial Complex Correlation Characteristics of Carbon Emissions and Carbon Transboundary Transfer: Assessment of the Carbon Footprint in Four Mega-urban Agglomerations in China DOI Creative Commons

YU Cheng-xue,

Lei Hu,

Hongbo Zheng

et al.

Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100698 - 100698

Published: May 1, 2025

Language: Английский

Citations

0
Investigating the Biodiversity Conservation Capability of Technological Innovation and FinTech DOI Creative Commons

Shayan Khan Kakar,

Jing Wang, Noman Arshed

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e40683 - e40683

Published: Nov. 26, 2024

Language: Английский

Citations

2