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e-Article

Prediction Analysis and Countermeasure Research on the Number of College Graduates Based on G (1,1) Grey Prediction Model
Document Type
Conference
Source
2023 International Seminar on Computer Science and Engineering Technology (SCSET) SCSET Computer Science and Engineering Technology (SCSET), 2023 International Seminar on. :602-605 Apr, 2023
Subject
Computing and Processing
Seminars
Economics
Analytical models
Employment
Predictive models
Market research
Reliability engineering
G (1, 1) model
Grey theory
Number of graduates
Forecast Proposal
Language
Abstract
As an important talent resource, college graduates are related to the economic and social development of the country and region. Based on the data of the number of national graduates from 2013 to 2018, the GM (1,1) model meeting the accuracy requirements is established by using the grey system theory, and the number of graduates from 2019 to 2021 is used to test the accuracy of the model, and finally the number of graduates from 2022 to 2026 is predicted and analyzed. The results show that the GM (1,1) model meets the accuracy requirements and is suitable for the prediction of the number of graduates. In the next five years, the number of college graduates in China will continue to rise, and the employment situation is still grim, so measures should be taken from the three perspectives of the state, schools and individuals to provide a guarantee for alleviating the employment pressure.