Analysis of the Impact of Artificial Intelligence Technology on Intergenerational Income Flow: Empirical Research based on CFPS Data

Yongxiang Ya; Shuaihang Yi; Xinlong Ji; Fuchang Li

doi:10.6981/FEM.202411_5(11).0022

Authors

Yongxiang Ya
Shuaihang Yi
Xinlong Ji
Fuchang Li

DOI:

https://doi.org/10.6981/FEM.202411_5(11).0022

Keywords:

Artificial Intelligence Technology; Intergenerational Income Mobility; Two-Stage Range Entropy Method; CFPS Data.

Abstract

The development of artificial intelligence technology has brought new occupations, new jobs and new models. Paying attention to its impact on intergenerational income flow is conducive to improving the income distribution system and helping achieve common prosperity. After collecting the relevant patent data of prefecture-level cities from 2010 to 2020, this paper uses the two-stage range entropy method to measure their artificial intelligence level and combines the China Household Tracking Survey (CFPS) database to sort out and generate mixed cross-section data for empirical analysis. The research results show that the development of artificial intelligence technology significantly promotes the intergenerational income flow, and has significant heterogeneity in different individual gender, household registration, and regional marketization levels. Finally, according to the research conclusions, the corresponding policy recommendations are put forward.

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