The influence of robot applications on rural labor transfer

Kaizhi Yu, Yao Shi () and Jiahan Feng
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Kaizhi Yu: Southwestern University of Finance and Economics
Yao Shi: Southwestern University of Finance and Economics
Jiahan Feng: Southwestern University of Finance and Economics

Palgrave Communications, 2024, vol. 11, issue 1, 1-18

Abstract: Abstract Employment is a pivotal driver for ensuring and enhancing people’s livelihoods, with stable employment forming the bedrock for achieving high-quality economic development. In this study, CMDS data from 2014–2018, IFR data, and micro-data from China’s Second National Economic Census were utilized to analyze the impact of robot applications on rural labor migration in China, exploring both theoretical and empirical dimensions, particularly the crowding-out effect. The research findings suggest that robot applications influence labor demand through expansion and substitution effects. The results show robot applications significantly increased the probability of rural labor considering re-migration, with a 1% increase in urban robot density resulting in a 0.249% increase in the likelihood of rural labor re-migration. In addition, robot applications were found to reduce the migration rate of urban labor and increase the probability of rural laborers returning to the agricultural sector. Based on mechanism analyses, robot applications were found to have pronounced passive effects in accelerating rural labor migration, particularly among groups with lower skill levels, individuals aged over 44, those in low-skilled occupations, those possessing strong mobility, and those residing in economically developed areas. The conclusions of this study provide new insights for stabilizing employment and optimizing rural labor migration in the context of artificial intelligence development.

Date: 2024
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DOI: 10.1057/s41599-024-03333-6

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