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Aging workforce and industrial Robots: Industry-Level evidence from Japan

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  • Chen, Fang
  • Liu, Wenge

Abstract

As demographic aging intensifies globally, the aging of the labor force is exerting significant impacts on technological adoption, industrial restructuring, and pathways toward sustainable development. This study empirically investigates the effect of labor force aging on the adoption of industrial robots by employing industry-level panel data from Japan spanning 1996 to 2018. A fixed-effects regression model is used to control for unobserved industry and year heterogeneity, while human capital variables—including educational attainment and average wage—are incorporated to assess potential moderating effects.

Suggested Citation

  • Chen, Fang & Liu, Wenge, 2025. "Aging workforce and industrial Robots: Industry-Level evidence from Japan," The Journal of the Economics of Ageing, Elsevier, vol. 32(C).
  • Handle: RePEc:eee:joecag:v:32:y:2025:i:c:s2212828x2500057x
    DOI: 10.1016/j.jeoa.2025.100602
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