Abstract
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.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
