How do Workers Adjust to Robots? Evidence from China
Dados Bibliográficos
| ID | 9720768 |
|---|---|
| Autores | 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) |
| Ano | 2024 |
| Volume | 135 |
| Fascículo | 666 |
| Páginas | 637-652 |
| Data de publicação | 2024-12-24 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | The Economic Journal (JOURNAL) |
| Identificadores do periódico | ISSN: 0013-0133 • E-ISSN: 1468-0297 |
| Editora | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/ej/ueae086 |
| OpenAlex | W4402947377 |
| Idioma | EN |
| Citações recebidas | 3 |
| Referências citadas | 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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| Obras citantes distintas | 3 |
|---|---|
| Citações por ano | 3 |
| Intervalo de citações | 2025 - 2026 (2) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 3 |