How do Workers Adjust to Robots? Evidence from China
Bibliographic Data
| ID | 9720768 |
|---|---|
| Authors | Osea Giuntella (0000-0003-3236-0708, University of Pittsburgh, USA, IZA, Germany & NBER), Yi Lü (0000-0001-7614-6661, Tsinghua University), Elaine Yi Lu (0000-0002-1162-4623, Tsinghua University), Tianyi Wang (0000-0002-0776-9387, University of Toronto, Canada, IZA, Germany & NBER) |
| Year | 2024 |
| Volume | 135 |
| Issue | 666 |
| Pages | 637-652 |
| Publication date | 2024-12-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Economic Journal (JOURNAL) |
| Journal identifiers | ISSN: 0013-0133 • E-ISSN: 1468-0297 |
| Publisher | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/ej/ueae086 |
| OpenAlex | W4402947377 |
| Language | EN |
| Citations received | 3 |
| References cited | 24 |
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
Business · China · Economics · Geography · Labour economics · Natural resource economics · Robot · Artificial Intelligence · Computer Science · Cyberloafing and Workplace Behavior · Digital Economy and Work Transformation · Employment and Welfare Studies
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| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |