人工智能应用、劳动报酬份额与失业率动态关系的实证分析

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Abstract Artificial intelligence technology has dual effects on employment and income distribution through its own substitution and compensation effects. In different stages of the development of artificial intelligence, its dominant mechanisms are different. Based on the provincial panel data from 2006 to 2019, the PVAR model is constructed, and impulse response and variance decomposition are carried out to explore the dynamic relationship among the application of artificial intelligence, employment and income distribution. The findings show that: As for the impact of artificial intelligence application on the unemployment rate, the unemployment in China are mostly natural and structural. The crowding-out effect of the wide use of artificial intelligence technology on labor market is not obvious, on the contrary, it creates a number of new jobs and effectively relieves the employment pressure of workers. As for the change in the share of labor compensation, artificial intelligence has already shown its inhibitory effect, and this impact will grow with time. At the same time, the unemployment rate and share of labor compensation are negatively correlated. It means the rising unemployment rate brings down the share of labor compensation, and vice versa. However, both of them have no significant effect on the application degree of artificial intelligence, indicating that currently the wide use of artificial intelligence technology in China is less affected by the feedback of the labor market.

Key words： artificial intelligence unemployment rate share of labor compensation income distribution PVAR model

Received: 11 November 2020

PACS:

F249.2

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	MA Guo-wang
	LI Bei-yao

Cite this article:

MA Guo-wang,LI Bei-yao. An Empirical Analysis of the Dynamic Relationship among Application of Artificial Intelligence, Share of Labor Compensation and Unemployment Rate[J]. , 2021, 38(2): 61-70.

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https://xb.szu.edu.cn/EN/ OR https://xb.szu.edu.cn/EN/Y2021/V38/I2/61

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