透视图(图形)
工程类
工程伦理学
劳动经济学
人工智能
产业组织
经济
计算机科学
作者
Xiaowen Wang,Mingyue Chen,Nanxu Chen
出处
期刊:Heliyon
[Elsevier BV]
日期:2024-02-22
卷期号:10 (5): e26686-e26686
被引量:12
标识
DOI:10.1016/j.heliyon.2024.e26686
摘要
To investigate how artificial intelligence (AI) affects the structure of labour force employment, we integrate robotics adoption and employment into this study's model. Based on Chinese provincial panel data from 2010 to 2019, fixed, mediating and threshold effects models and a spatial heterogeneity model were used to empirically test the impact of AI on the employment structure from the perspective of industrial structure optimisation and its mechanisms of action. The findings demonstrate that the impact of AI on the labour force employment structure reflects unique characteristics for China and promotes the advancement of the nation's employment structure. The influence of AI on the labour force employment structure follows a non-linear pattern, fostering labour force employment structure optimisation and upgrading from the perspective of industrial structure optimisation. Further investigation reveals the influence of spatial spillover effects from AI on employment structure optimisation. These research findings have theoretical value and practical significance for optimising China's employment structure in the context of AI.
科研通智能强力驱动
Strongly Powered by AbleSci AI