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Are robots crowding out migrant workers? Evidence from urban China

Jiantao Zhou*, Eddie Chi-Man Hui, Huiwen Peng

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The heated debate on automation versus labor pulls at the heartstrings of many in both academia and industry, as automation can trigger dramatic adjustments in the urban labor market. Yet, little is known about how migrant workers respond to such technological advances. To contribute to this debate, this paper empirically investigates the effects of automation (proxied by the exposure degree of industrial robots) on the settlement intention of migrant workers in urban China. Employing data from the China Migrants Dynamic Survey (CMDS) 2014–2017, our results reveal that cities with greater exposure to industrial robots are more likely to attract migrant workers to settle. Yet, the promotion of settlement intentions is more pronounced for migrant workers at the high and low tails of the skill distribution, leading to a U-shaped selection. Further analyses confirm that this nonlinearity is mainly due to the displacement of routine-intensive occupations, the reinstatement of high-skilled machine-complementing occupations, and the indirect boom in service-related occupations at all skill levels. In addition to economic incentives as the decisive impact channel, mechanism analyses found that the resulting labor market adjustment simultaneously enhances the social integration of migrant workers, acting as a secondary impact channel on the willingness of migrant workers to settle. Our findings raise concerns about the polarization of skills and wages among migrant workers despite their general benefit from automation. © 2024 Elsevier Ltd.
Original languageEnglish
Article number103154
JournalHabitat International
Volume152
Online published7 Aug 2024
DOIs
Publication statusPublished - Oct 2024

Funding

This work was supported by the Fundamental Research Funds for the Central Universities of Nanjing Agricultural University under [SKYC2023004] and the Hong Kong PhD Fellowship Scheme at the Hong Kong Polytechnic University under [PF19-38086].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 1 - No Poverty
    SDG 1 No Poverty
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  4. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  5. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Research Keywords

  • Automation
  • Industrial robot
  • Migrant workers
  • Return migration
  • Settlement intention

RGC Funding Information

  • RGC-funded

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