Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 7th International Conference on Economic Management and Green Development
Series Vol. 37 , 10 November 2023
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An Analysis of the Impact of Industrial Robots on Employment of College Students
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Abstract
With the development of artificial intelligence technology and the promotion and application of industrial robots, it has had a profound impact on economic behavior and reform, as well as on the job market. As an important part of the labor market, the impact of AI and industrial robots on the employment situation of college students is also a topic worth studying. This paper investigates the impact that AI and industrial robots will have on the overall employment number as well as the employment number of college students through the data of the employment market in 30 Chinese provinces from 2015 to 2019 with the OLS and fixed effect model. The empirical research results prove that the development of AI technology and the promotion and application of industrial robots will have the impact of the promotion effect on the overall employment number as well as the employment number of college students.
Keywords
artificial intelligence, industrial robots, employment, college students, promotion effect
References
1. Strong, A. I. Applications of artificial intelligence & associated technologies. Science [ETEBMS-2016], 5(6). (2016).
2. Cheng, G. J., Liu, L. T., Qiang, X. J., & Liu, Y. Industry 4.0 development and application of intelligent manufacturing. In 2016 international conference on information system and artificial intelligence (ISAI) (pp. 407-410). IEEE. (2016, June).
3. Graetz G, Michaels G. Robots at Work [J]. Review of Economics and Statistics, 100( 5) : 753 - 768. 2018.
4. Acemoglu D, Restrepo P. Robots and Jobs: Evidence from US Labor Markets [J]. Journal of Political Economics, 128( 6) : 2188 - 2244. 2020.
5. Furman J, Seamans R. AI and the Economy [J]. Innovation Policy and the Economy, 19 ( 1 ): 161-191. 2019.
6. Zhang, D., Pee, L. G., & Cui, L. Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse. International Journal of Information Management, 57, 102304. (2021).
7. Abuselidze, G., & Mamaladze, L. The impact of artificial intelligence on employment before and during pandemic: A comparative analysis. In Journal of Physics: Conference Series (Vol. 1840, No. 1, p. 012040). IOP Publishing. (2021, March).
8. Tencent Research Institute, CAICT, Tencent AI Lab, & Tencent open platform. The Power of Capital. Artificial Intelligence: A National Strategic Initiative, 141-149.
9. Ying, L. G. Measuring the spillover effects: Some Chinese evidence. Papers in regional science, 79(1), 75-89. (2000).
10. IFR International Federation of Robotics. International Federation of Robotics. https://ifr.org/. (n.d.)
11. Wooldridge, J. M. Introductory econometrics: A modern approach. Cengage learning. (2015).
12. Wooldridge, J. M. Econometric analysis of cross section and panel data. MIT press. (2010).
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 7th International Conference on Economic Management and Green Development
- ISBN (Print)
- 978-1-83558-095-0
- ISBN (Online)
- 978-1-83558-096-7
- Published Date
- 10 November 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/37/20231847
- Copyright
- 10 November 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited