摘要
构建人工智能影响劳动收入份额的理论模型,利用2005—2018年中国287个地级市及以上城市面板数据进行实证验证,探讨人工智能发展对劳动收入份额的影响。研究发现,通过提高工资水平,人工智能发展有利于提高劳动收入份额;短期内,由于存在“索洛悖论”,人工智能发展对整体劳动生产率无显著影响,提高工资水平是人工智能发展提升劳动收入份额的重要机制;长期内,人工智能发展推动劳动生产率提升,通过提高工资水平进而提高劳动收入份额的作用效果被逐渐提升的劳动生产率所抵消,导致长期内人工智能发展对劳动收入份额无显著影响。因此,为发展人工智能,克服索洛悖论,提高劳动收入份额,就要完善人工智能创新发展体制机制,推动人工智能产学研结合;建立完备的工资增长长效机制,提高劳动收入份额;健全人工智能相关专利技术应用保障体系,加快推动产业智能化发展,提高劳动生产率。
This paper constructs a theoretical model of the impact of artificial intelligence on labor income share, empirically verifies it by using the panel data of 287 cities above prefecture level in China from 2005 to 2018, and deeply discusses the impact of the development of artificial intelligence on labor income share. The study found that the development of artificial intelligence is conducive to increasing the share of labor income by increasing the wage level. In the short term, due to the "Solow paradox", the development of artificial intelligence has no significant impact on the overall labor productivity;raising the wage level is an important mechanism for the development of artificial intelligence to increase the share of labor income. In the long run, with the development of artificial intelligence in promoting the increase of labor productivity, the effect of increasing the share of labor income by raising the wage level is offset by the gradual increase of labor productivity, resulting in no significant impact of the development of artificial intelligence on the share of labor income in the long run. Therefore, in order to promote AI to overcome Solow paradox and increase labor income share, it is necessary to improve the innovation and development system and mechanism of AI;promote the combination of IUR of AI;establish a complete long-term mechanism for wage growth and increase the share of labor income;improve the security system for the application of patent technologies related to artificial intelligence, accelerate the development of industrial intelligence, and improve labor productivity.
作者
惠炜
HUI Wei(Institute of Industrial Economics,Chinese Academy of Social Sciences,Beijing 100006,China)
出处
《北京工业大学学报（社会科学版）》
CSSCI
北大核心
2022年第6期99-112,共14页
Journal of Beijing University of Technology (Social Sciences Edition)
基金
国家社会科学基金青年项目(18CJY010)。
关键词
人工智能
索洛悖论
劳动收入份额
工资水平
劳动生产率
artificial intelligence
Solow paradox
labor income share
wage level
labor productivity
