Chengzhang Wang
Future of jobs in China under the impact of artificial intelligence
Wang, Chengzhang; Zheng, Min; Bai, Xiaoming; Li, Youwei; Shen, Wei
Authors
Abstract
This study presents a new task-based quantification method for constructing Chinese occupational dataset based on the features of US jobs. Furthermore, we estimate the impact of artificial intelligence (AI) on jobs in China by determining substitution probability using a LightGBM-based prediction model. The results show that 54% of jobs in China would be substituted by AI in the following decades. Relatively speaking, unit heads are the safest jobs in China, whereas jobs intensive in perceptive and manipulative tasks are highly susceptible to substitution.
Citation
Wang, C., Zheng, M., Bai, X., Li, Y., & Shen, W. (2023). Future of jobs in China under the impact of artificial intelligence. Finance research letters, Article 103798. https://doi.org/10.1016/j.frl.2023.103798
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 13, 2023 |
Online Publication Date | Mar 15, 2023 |
Publication Date | 2023 |
Deposit Date | Mar 21, 2023 |
Publicly Available Date | Mar 16, 2024 |
Journal | Finance Research Letters |
Print ISSN | 1544-6123 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Article Number | 103798 |
DOI | https://doi.org/10.1016/j.frl.2023.103798 |
Keywords | Finance |
Public URL | https://hull-repository.worktribe.com/output/4247417 |
Files
Accepted manuscript
(319 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
The smog that hovers: Air pollution and asset prices
(2023)
Journal Article
The Asymmetric Overnight Return Anomaly in the Chinese Stock Market
(2022)
Journal Article
Competition or Authorization—Manufacturers’ Choice of Remanufacturing Strategies
(2022)
Journal Article
Momentum and the Cross-section of Stock Volatility
(2022)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search