Management Review ›› 2021, Vol. 33 ›› Issue (3): 307-314.

• Public Management • Previous Articles     Next Articles

Research on the Factors that Influence the Labor Structure of the Manufacturing Industry in the Context of Artificial Intelligence——Taking the Development of Industrial Robots as an Example

Li Shuqin1, Wang Haochen2, Wang Shouyang3,4   

  1. 1. China Communication Center for Science and Technology, China Association for Science and Technology, Beijing 100012;
    2. Department of Economic Forecasting, State Information Center, Beijing 100045;
    3. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190;
    4. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
  • Received:2019-04-18 Online:2021-03-28 Published:2021-04-06

Abstract: Artificial intelligence is being used in more and more industries. One of the important applications in manufacturing is industrial robots. There is much debate about the effect of industrial robot use on labor force with different skill structures. In this study, labor force in Chinese manufacturing is divided into three categories according to the education level:high-, medium- and low-skill, and the influence of the annual sales of industrial robots on the employment scale of each type of labor force is studied. The results show that with the increasing use of industrial robots, the employment scale of high-skilled labor force increases, resulting in the “compensation effect”, while the employment scale of low-skilled labor force decreases, resulting in the “substitution effect”, while the medium-skilled labor force is not significantly affected. The results provide evidence in China's manufacturing industry for research on the relationship between industrial robots and labor employment based on SBTC theory, and reflect the particularity of China. The implications summarized in this paper include providing appropriate knowledge and skills training for different labor forces, appropriately delaying the retirement age of high-skilled labor forces, and expanding the development space to attract more people, especially high-skilled labor forces, to work in manufacturing industry.

Key words: artificial intelligence (AI), industrial robots, manufacturing industry, labor force, skill structure