工业技术经济2024，Vol.43Issue(7)：120-130,11.DOI:10.3969/j.issn.1004-910X.2024.07.013
人工智能与企业劳动收入份额
Artificial Intelligence and Enterprise Labor Income Share
摘要
Abstract
The transformation of urban digital intelligence is gradually promoted under the development of artificial intelli-gence,and plays a role in enabling the high-quality development of economic society and enterprises.Based on this,taking the national new generation of artificial intelligence innovation and development pilot zone as an exogenous impact,this paper explores the effect of urban digital intelligent transformation on enterprise labor income distribution by constructing a differential model.The results show that compared with non-pilot cities,the labor income share of enterprises in pilot cities has increased significantly.Heterogeneity analysis shows that the increasing effect of the establishment of pilot zones on the labor income share of enterprises is more obvious in state-owned enterprises,capital-intensive enterprises,enterprises with high bargaining power of employees,eas-tern and central regions and enterprises with low marketization level.According to the mechanism analysis,urban digital intelligent transformation can increase the cash abundance of enterprises,improve the level of human capital of enterprises,and then increase the share of labor income.Further analysis shows that the establishment of pilot zones can improve the income inequality within en-terprises,especially in areas with large labor mismatch.This paper enriches the research on the economic consequences of artificial intelligence pilot zones,and provides policy implications for promoting the implementation and development of artificial intelligence and increasing the share of labor income.关键词
人工智能/城市数智化转型/劳动收入份额/双重差分/人工智能创新发展试验区/共同富裕/区域异质性/人力资本水平Key words
artificial intelligence/urban digital intelligent transformation/labor income share/dual difference/artificial intelligence/prosperity in common/regional heterogeneity/human capital level分类
经济学引用本文复制引用
李媛媛,高帅科..人工智能与企业劳动收入份额[J].工业技术经济,2024,43(7):120-130,11.基金项目
国家社会科学基金项目"我国老年人决策行为异质性与金融欺诈风险预警及防控研究"(项目编号:20CRK010). （项目编号:20CRK010）
