 Artificial intelligence development and rural labor employment qualityZhe Li, Minggang Liu and Lu Wang International Review of Economics & Finance, 2025, vol. 102, issue C 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. Keywords: Artificial intelligence; Rural areas; Employment Quality of labor (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:102:y:2025:i:c:s1059056025004551 DOI: 10.1016/j.iref.2025.104292 Access Statistics for this article International Review of Economics & Finance is currently edited by H. Beladi and C. Chen More articles in International Review of Economics & Finance from Elsevier |
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