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Technological change and unemployment: evidence from China

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  • Yuhong Du
  • Xiahai Wei

Abstract

This study investigates the impact of technological change on unemployment in China’s labour market based on a recent panel data of 283 prefectural-level cities from 2010 to 2017. The results obtained by the system Generalized Method of Moments (GMM-SYS) estimation show that massive adoption of robots is a significant driving force raising unemployment rate while there is a reverse change in the longer period; the insignificant estimates of utility patent and its lagged terms indicate the weak and non-persistent relationship between unemployment and patent-related innovation.

Suggested Citation

  • Yuhong Du & Xiahai Wei, 2022. "Technological change and unemployment: evidence from China," Applied Economics Letters, Taylor & Francis Journals, vol. 29(9), pages 851-854, May.
  • Handle: RePEc:taf:apeclt:v:29:y:2022:i:9:p:851-854
    DOI: 10.1080/13504851.2021.1896666
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