| Issue |
SHS Web Conf.
Volume 163, 2023
2023 8th International Conference on Social Sciences and Economic Development (ICSSED 2023)
|
|
|---|---|---|
| Article Number | 04034 | |
| Number of page(s) | 7 | |
| Section | Social Economics and Welfare Distribution | |
| DOI | https://doi.org/10.1051/shsconf/202316304034 | |
| Published online | 28 April 2023 | |
Construction of Early-warning Model of Unemployment Risk in GuiZhou Province
School of Business Administration, Guizhou University of Finance and Economics, Guiyang, China
* Corresponding author: 404672905@qq.com
This research determines the unemployment risk indicators and constructs the unemployment risk early warning model of Guizhou Province through the hierarchical regression model, using software technology and combining the relevant indicator data of Guizhou Province. Then, according to the previous research, the unemployment warning line of Guizhou Province is determined. The registered unemployment rate of cities and towns in Guizhou Province and the unemployment rate predicted by the unemployment risk early warning model are compared with the unemployment warning line. Then, according to the comparison results, the unemployment situation in Guizhou Province is analyzed, and relevant policy suggestions and unemployment early warning are put forward.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/).
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