| Issue |
SHS Web Conf.
Volume 192, 2024
2024 3rd International Conference on Urban Planning and Regional Economy (UPRE 2024)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 4 | |
| Section | Smart City and Urban Planning and Management | |
| DOI | https://doi.org/10.1051/shsconf/202419201005 | |
| Published online | 05 June 2024 | |
How to promote urban employment in the process of local transformation and upgrading? -- Analysis based on principal component regression
School of Finance and Economics, Jiangsu University, Jingkou District, Zhenjiang, Jiangsu, China
The possible unemployment in the process of industrial upgrading may affect the improvement of residents’ well-being, so it is very necessary to study its influencing factors. Based on time series data from 2000 to 2019, this paper selects indicators that may affect urban labor employment from three dimensions: economic growth, structural change and technological progress, and further analyzes the factors affecting urban labor employment through principal component regression on this basis. The empirical results show that although economic growth factors can also have a positive effect on urban labor employment, its impact is not significant compared with the other two types of factors. Therefore, the government should combine various measures to promote employment, accelerate the transformation and upgrading of industrial structure at the same time, increase investment in independent research and development, improve the level of technological innovation, and should also focus on improving the quality of workers.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.