Achieving pollution abatement and carbon reduction synergistically: How can industrial robots play a role? DOI
Chongchong Xu,

Helen Lv Zhang,

Boqiang Lin

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123816 - 123816

Published: Dec. 24, 2024

Language: Английский

The influence of AI application on carbon emission intensity of industrial enterprises in China DOI Creative Commons
Lu Yao, Zhidong Liao

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 12, 2025

As a critical aspect of the industry 4.0 era, application artificial intelligence (AI) is significant to environmental governance. It serves as crucial driving force in assisting enterprises transition toward low-carbon practices. This paper examines China's A-share industrial from 2011 2022, constructs and trains word vector model extract AI-related terms, impact AI applications on carbon emission intensity these investigated. The findings reveal that enhancing level can effectively decrease intensity. Specifically, 1% increase leads reduction 0.0395% Further analysis indicates diminish their by optimization supply chain green technology innovation. Heterogeneity suggests utilizing beneficial for reducing manufacturing, high-tech, high-pollution enterprises. results this study enrich micro-level research relationship between intensity, offering valuable insights aiming achieve sustainable development.

Language: Английский

Citations

0

The impact of reducing trade barriers on enterprises' pollution emissions: Evidence from China DOI

Lianying Hong,

Xujun Liu, Bei Liu

et al.

Managerial and Decision Economics, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 10, 2024

Abstract Trade and pollution are important issues for people's well‐being. However, less attention has been paid to the study of changes in international trade rules affecting emission behavior micro firms. This paper takes quota restriction multi‐fiber arrangement (MFA) lifted as an exogenous impact explores barriers reduction on emissions textile industries using difference‐in‐differences (DID) method. The results show that (1) after MFA was lifted, increased industry. enterprises' SO 2 intensity with reduced increases by 8.1% compared have not reduced. (2) barrier varies type enterprise ownership, export nature, scale. For private enterprises, large‐scale promotion effect is more significant. (3) mechanism test increase mainly caused market share deterioration energy structure, output enterprises. Therefore, it critical reduce maintaining a reasonable share, optimizing structures, increasing investment treatment equipment. reveals profoundly influenced production decision‐making companies exporting countries, producing deep implications providing empirical evidence management guidance developing countries' development environmentally friendly policies responses trade‐induced environmental shocks.

Language: Английский

Citations

3

Management myopia and green investment: Evidence from China DOI

Meilin Jin,

Xinyao Li, Bei Liu

et al.

Managerial and Decision Economics, Journal Year: 2024, Volume and Issue: 45(8), P. 5290 - 5305

Published: July 22, 2024

Abstract This paper examines the impact of management myopia on investment behavior green investors using A‐share listed companies from 2004 to 2020 in China. The research reveals that significantly inhibits investors. Through corporate reputation and development technologies, affects intentions Environmental project subsidies do not mitigate negative intentions. Interestingly, compared environmentally friendly projects categorized under “profit‐related” “reward” headings, form environmental grants exacerbate inhibitory effect investment.

Language: Английский

Citations

3

How does business credit environment affect exports performance of small and medium-sized enterprises: Evidence in China DOI
Bei Liu,

Xiaoqian Sun,

Jinmin Wang

et al.

Journal of International Trade & Economic Development, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 24

Published: Aug. 26, 2024

This paper uses matched data from the CSMAR database and China City Statistical Yearbook through a fixed effects model to examine impact of business credit environment on small medium-sized enterprises (SMEs) exports at city level in China. Considering possible endogenous problems, this chooses number scholars Ming Qing dynasties as instrumental variable urban commercial environment. The empirical results show that: Firstly, improvement has significant contribution export growth enterprises; Secondly, mechanism role SMEs is mainly expressed promoting R&D investment enhancing market dynamics; Thirdly, more obvious state-owned enterprises, eastern regions cities with less trade freedom. With development environment, individuals or companies join competition industry new start-ups stimulate corporate exports, existing promote local preferential policies, increased R&D, optimized innovation policies well resource allocation.

Language: Английский

Citations

3

Achieving pollution abatement and carbon reduction synergistically: How can industrial robots play a role? DOI
Chongchong Xu,

Helen Lv Zhang,

Boqiang Lin

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123816 - 123816

Published: Dec. 24, 2024

Language: Английский

Citations

3