Publication: The Impact Of Artificial Intelligence On Labour Productivity In China
| dc.contributor.author | Zouya, Lai | |
| dc.date.accessioned | 2026-04-15T01:51:01Z | |
| dc.date.available | 2026-04-15T01:51:01Z | |
| dc.date.issued | 2025-01 | |
| dc.description.abstract | This study examines the impact of artificial intelligence (ai) on labour productivity in china from 2000 to 2020, using three ai proxies: investment in fixed social assets for information transmission, computer services, and the software industry; intensity of scientific research fund investments; and ai patent applications. The study employs the diff-gmm and sys-gmm methods to investigate the effects of ai on three labor skill categories (high, medium, and low-skilled occupations). The findings reveal that scientific research fund investment increases the productivity of high-skilled workers by 41.6%, while ai patent applications increase productivity by 39.3%. However, investment in fixed social assets is not statistically significant for high-skilled workers. In contrast, it increases the productivity of medium-skilled workers by 18.5%. For low-skilled workers, both ai patent applications and fixed social asset investments boost productivity by 15.9% and 32.2%, respectively. The study also compares the impact of ai across different regions in china. In autonomous regions, investment in fixed social assets significantly enhances productivity across all worker skill categories. However, in 23 major provinces, | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/23916 | |
| dc.title | The Impact Of Artificial Intelligence On Labour Productivity In China | |
| dc.type | Resource Types::text::thesis::master thesis | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |