Artificial Intelligence, Demographic Structure Transition and Changes in Labor Income Share

LU Ting-ting; ZHU Zhi-yong; LIU Chang-chang

Volume 37 Issue 4

Jul. 2022

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Article Navigation > Journal of Guangdong University of Finance & Economics > 2022 > 37(4): 4-17

LU Ting-ting, ZHU Zhi-yong, LIU Chang-chang. Artificial Intelligence, Demographic Structure Transition and Changes in Labor Income Share[J]. Journal of Guangdong University of Finance & Economics, 2022, 37(4): 4-17.

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LU Ting-ting, ZHU Zhi-yong, LIU Chang-chang. Artificial Intelligence, Demographic Structure Transition and Changes in Labor Income Share[J]. Journal of Guangdong University of Finance & Economics, 2022, 37(4): 4-17.

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Artificial Intelligence, Demographic Structure Transition and Changes in Labor Income Share

School of Economics and Management, Southwest University, Chongqing, 400715, China

Received Date: 2022-03-15
Available Online: 2022-07-12
Publish Date: 2022-07-28

Abstract

Abstract

The previous researches focused on the linear relationship between artificial intelligence and labor income share, ignoring the potential nonlinear characteristics of this relationship. Based on the provincial panel data of China from 2006 to 2017, this paper takes human capital and population ageing as threshold variables to build a panel threshold model, and adds the square term of artificial intelligence to investigate the nonlinear impact of artificial intelligence on labor income share. The results show that the influence of artificial intelligence on labor income share demonstrates U-shaped characteristic of restraining first and then increasing, and the inhibition is the main effect at this stage; the influence of artificial intelligence on labor income share has the characteristics of double threshold of human capital and single threshold of population aging, that is, with the improvement of human capital level, the negative impact of artificial intelligence on labor income share decreases, while with the deepening of population aging, the negative impact of artificial intelligence on labor income share increases, and the conclusion is still valid after the robustness test of replacing explained variables, changing sampling times and eliminating extreme values. Therefore, it is proposed to improve the level of human capital and promote the aging development of artificial intelligence technology, so as to alleviate the decline of labor income share brought by artificial intelligence, accelerate the healthy and sustainable development of artificial intelligence and solidly promote common prosperity.
- artificial intelligence,
- demographic structure,
- income distribution,
- labor income,
- labor income share,
- human capital,
- population ageing,
- common prosperity

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References(34)

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