The Role of ICT and Renewble Energy Consumption for Carbon Intensity: Evidence from Panel Quantile Regression Approach DOI
Liang Li,

Joseph Fuseini,

Sun Hauping

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Social security contributions, labor income share, and corporate innovation DOI

Tongbin Li,

Juan Gao

Finance research letters, Год журнала: 2025, Номер 77, С. 107123 - 107123

Опубликована: Фев. 28, 2025

Язык: Английский

Процитировано

0

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

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 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.

Язык: Английский

Процитировано

0

Exploring the role of digital economy on carbon productivity: New evidence from the “Broadband China” Policy DOI
Weiliang Tao, Shimei Weng, Xueli Chen

и другие.

Energy Efficiency, Год журнала: 2025, Номер 18(4)

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

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

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 382, С. 125435 - 125435

Опубликована: Апрель 18, 2025

Язык: Английский

Процитировано

0

The Role of ICT and Renewble Energy Consumption for Carbon Intensity: Evidence from Panel Quantile Regression Approach DOI
Liang Li,

Joseph Fuseini,

Sun Hauping

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0