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Artificial intelligence development and rural labor employment quality

Year: 2025

Type: article

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.

Source: International Review of Economics & Finance

DOI: 10.1016/j.iref.2025.104292

Authors: Zhe Li, Minggang Liu, Lu Wang

Institutions: Beijing City University, Central University of Finance and Economics

Language: English

Topic: Labor market dynamics and wage inequality

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Decent work and economic growth, Reduced inequalities, No poverty, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,930