Artificial intelligence development and rural labor employment quality

This paper aims to explore the impact of artificial intelligence (AI) development on the employment quality of rural labor and its underlying mechanisms. Based on panel data from 30 Chinese provinces from 2008 to 2022, the empirical analysis finds that AI development significantly enhances the employment quality of rural labor. Mechanism analysis reveals that AI improves employment quality by providing rural labor with more convenient learning and training opportunities, thereby enhancing skill levels and increasing job competitiveness. Heterogeneity analysis indicates that the positive effect of AI on rural labor employment quality is more pronounced in provinces with lower social security levels, higher innovation efficiency, located in the eastern region, and with higher education levels. This study offers a new perspective on AI’s role in the rural labor market and provides a theoretical foundation for relevant policy-making.

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Publication Details

Journal
International Review of Economics & Finance
Published
2025-06-18
DOI
https://doi.org/10.1016/j.iref.2025.104292
Citations
3
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
12.60
Controls
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article

Artificial intelligence development and rural labor employment quality

Zhe Li, Minggang Liu, Lu Wang
3 citations
International Review of Economics & Finance
Digital Economy and Work Transformation
12.60
article

Artificial intelligence development and rural labor employment quality

Zhe Li, Minggang Liu, Lu Wang
article en
3 citations

Abstract

This paper aims to explore the impact of artificial intelligence (AI) development on the employment quality of rural labor and its underlying mechanisms. Based on panel data from 30 Chinese provinces from 2008 to 2022, the empirical analysis finds that AI development significantly enhances the employment quality of rural labor. Mechanism analysis reveals that AI improves employment quality by providing rural labor with more convenient learning and training opportunities, thereby enhancing skill levels and increasing job competitiveness. Heterogeneity analysis indicates that the positive effect of AI on rural labor employment quality is more pronounced in provinces with lower social security levels, higher innovation efficiency, located in the eastern region, and with higher education levels. This study offers a new perspective on AI’s role in the rural labor market and provides a theoretical foundation for relevant policy-making.

International Review of Economics & FinanceVol. 102
Central University of Finance and Economics (CN), Beijing City University (CN)
Decent work and economic growth
Openalex Percentile: Top 2%
Digital Economy and Work Transformation
12.60
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