How do Workers Adjust to Robots? Evidence from China
成果类型：
Article; Early Access
署名作者：
Giuntella, Osea; Lu, Yi; Wang, Tianyi
署名单位：
Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; IZA Institute Labor Economics; National Bureau of Economic Research; Tsinghua University; University of Toronto; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
刊物名称：
ECONOMIC JOURNAL
ISSN/ISSBN：
0013-0133
DOI：
10.1093/ej/ueae086
发表日期：
2024
关键词：
摘要：
We analyse the effects of exposure to industrial robots on labour market adjustments, exploring longitudinal household data from China. We find that a one-standard-deviation increase in robot exposure led to a decline in labour force participation (-1%), employment (-7%) and hourly earnings (-8%) of Chinese workers. At the same time, among those who kept working, robot exposure increased the number of hours worked by 8%. These effects were concentrated among the less educated and larger among male, prime-age and older workers. We also find that more exposed workers increased their participation in technical training and were significantly more likely to retire earlier.