Factors Affecting University Students’ Employment Intention in Wuhan—An Empirical Analysis Based on Survey of College Students in Ten Universities

Wan-ying Song, Dan Yan

Abstract


This research focuses on the pain point of brain drain in Wuhan. Based on the questionnaires of ten colleges in Wuhan, the collected data were analyzed by SPSS statistical software. With Chi-square test, obtained three control variables: student gender, school type and birthplace. Using factor analysis, got four common factors: development factor, talent policy factor, living environment factor, life stress factor. Through binary logistic regression, getting the influence of control variables and common factors on local university students’ employment intention in Wuhan.

Keywords


Employment Intention, Talent Policy, Binary Logistic Regression


DOI
10.12783/dtssehs/ssme2019/34740