How do Workers Adjust to Robots? Evidence from China

Abstract 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.

Authors

Institutions

Publication Details

Journal
The Economic Journal
Published
2024-09-27
DOI
https://doi.org/10.1093/ej/ueae086
Citations
26
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
28.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How do Workers Adjust to Robots? Evidence from China

Osea Giuntella, Tianyi Wang, Yi Lu
26 citations
The Economic Journal
Digital Economy and Work Transformation
28.30
article

How do Workers Adjust to Robots? Evidence from China

Osea Giuntella, Tianyi Wang, Yi Lu
article en
26 citations

Abstract

Abstract 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.

The Economic JournalVol. 135(666)
University of Pittsburgh (US), University of Toronto (CA), IZA - Institute of Labor Economics (DE), Tsinghua University (CN)
Openalex Percentile: Top 0%
Digital Economy and Work Transformation
28.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

How do Workers Adjust to Robots? Evidence from China — Osea Giuntella, Tianyi Wang, et al. · The Economic Journal (2024) | TGRS Research Map | TGRS