Industrial Robot Applications, Urban–Rural Dual-System Structure, and Rural–Urban Labor Migration: Evidence from 31 Chinese Provinces

Artificial intelligence technologies, as exemplified by industrial robots, have become a key factor reshaping the spatial distribution of the labor force in China’s urban and rural areas. Building on the classic Lewis paradigm, this study uncovers the underlying logic and evolutionary patterns of rural–urban labor migration in China under the dual influences of industrial robotics applications and Chinese institutional constraints. Subsequently, in this study, we conducted an empirical analysis using interprovincial data from China between 2006 and 2024 and found that the impact of industrial robot applications on rural-to-urban labor migration follows an inverted U-shaped pattern. Mechanistic analysis indicated that this was primarily attributable to the labor price effect triggered by changes in the urban–rural income gap and the dynamic evolution of the urban sector’s demand for migrant workers. Further, we found that the urban–rural dual-system structure exerted a significant moderating effect on the aforementioned inverted U-shaped relationship. Specifically, regions with relatively solidified dual-system structures showed a delay in the inflection point of the inverted U-shaped curve. This indicated that, in response to the impact of industrial robots, the dual-system structure objectively provides additional transition adaptation time for migrant workers. The conclusions from this study are of great significance for sustainable urbanization in China in the digital intelligence era.

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Publication Details

Journal
Sustainability
Published
2026-08-27
DOI
https://doi.org/10.3390/su18178789
Primary Topic
Regional Economics and Spatial Analysis
Type
article
Field-Weighted Citation Impact
0.00

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Industrial Robot Applications, Urban–Rural Dual-System Structure, and Rural–Urban Labor Migration: Evidence from 31 Chinese Provinces

Yonghui Xu, Xiaoying Li
Sustainability
Regional Economics and Spatial Analysis
article

Industrial Robot Applications, Urban–Rural Dual-System Structure, and Rural–Urban Labor Migration: Evidence from 31 Chinese Provinces

Yonghui Xu, Xiaoying Li
article en

Abstract

Artificial intelligence technologies, as exemplified by industrial robots, have become a key factor reshaping the spatial distribution of the labor force in China’s urban and rural areas. Building on the classic Lewis paradigm, this study uncovers the underlying logic and evolutionary patterns of rural–urban labor migration in China under the dual influences of industrial robotics applications and Chinese institutional constraints. Subsequently, in this study, we conducted an empirical analysis using interprovincial data from China between 2006 and 2024 and found that the impact of industrial robot applications on rural-to-urban labor migration follows an inverted U-shaped pattern. Mechanistic analysis indicated that this was primarily attributable to the labor price effect triggered by changes in the urban–rural income gap and the dynamic evolution of the urban sector’s demand for migrant workers. Further, we found that the urban–rural dual-system structure exerted a significant moderating effect on the aforementioned inverted U-shaped relationship. Specifically, regions with relatively solidified dual-system structures showed a delay in the inflection point of the inverted U-shaped curve. This indicated that, in response to the impact of industrial robots, the dual-system structure objectively provides additional transition adaptation time for migrant workers. The conclusions from this study are of great significance for sustainable urbanization in China in the digital intelligence era.

SustainabilityVol. 18(17)
Sun Yat-sen University (CN), Guangzhou Maritime College (CN)
Guangdong Office of Philosophy and Social Science
Sustainable cities and communities
Openalex Percentile: Top 5%
Regional Economics and Spatial Analysis
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Industrial Robot Applications, Urban–Rural Dual-System Structure, and Rural–Urban Labor Migration: Evidence from 31 Chinese Provinces — Yonghui Xu, Xiaoying Li · Sustainability (2026) | TGRS Research Map | TGRS