Impact of AI development on green total factor productivity
Abstract The improvement of GTFP has become an important guarantee to change China’s development mode and achieve long-term stable economic growth, while the development of AI is of great significance to the development of GTFP. This paper adopts the SBM-GML method to calculate the GTFP of 30 region...
Saved in:
| Main Authors: | Wenhao Ding, Pan Hu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-06461-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Influence of Environmental Policy on Green Total Factor Productivity in the Chinese Construction Industry
by: Weizhong Zhou, et al.
Published: (2025-07-01) -
Influence of green finance on agricultural green total factor productivity: a case study in China
by: Liang Chu, et al.
Published: (2024-11-01) -
Environmental Information Disclosure and Firms’ Green Total Factor Productivity: Evidence from New Ambient Air Quality Standards in China
by: Jiemei Hu, et al.
Published: (2025-01-01) -
Will digital trade be friend or foe of the green economy? Unveiling the complexities of green growth
by: Tinghui Zhang, et al.
Published: (2025-12-01) -
The role of green finance in reshaping end-use energy consumption: insights from regional evidence in China
by: Mingzheng Deng, et al.
Published: (2025-02-01)