Yahong Wang, Khan Salim
School of Tourism and Management, Zhengzhou University, Zhengzhou, China.
School of Business, Zhengzhou University, Zhengzhou, China.
Front Psychol. 2021 Feb 26;12:638599. doi: 10.3389/fpsyg.2021.638599. eCollection 2021.
Based on the nationally representative sample data from the Chinese General Social Survey (CGSS-2015), this study examines the relationship of education levels and health status with an individual's probability of being employed in China. The findings obtained from the binary logistic regression estimator suggest that people with a higher level of education were more likely to be employed than those who have less or no education. The individual with university or above education was found to be 85% more likely to be employed than college or equal diploma holders. Further, the healthier individual was found to be 11% more likely to be employed than relatively less healthy. Moreover, the resulting coefficients obtained from the moderation effect suggest that all of the two-way interaction effects among health status and education levels with gender are not statistically significant even at the 10% level. The results suggest that there was no multiplicative effect of gender with health status and level of education on an individual's probability of being employed. Further, the study also suggests important policy implications in the light of China's active labor force market and the gender gap in employment.
基于中国综合社会调查(CGSS - 2015)具有全国代表性的样本数据,本研究考察了教育水平和健康状况与中国个人就业概率之间的关系。二元逻辑回归估计得出的结果表明,教育水平较高的人比受教育程度较低或未受教育的人更有可能就业。发现拥有大学及以上学历的人比大专及同等学历者就业可能性高85%。此外,发现健康状况较好的人比健康状况相对较差的人就业可能性高11%。而且,从调节效应得出的系数表明,即使在10%的水平上,健康状况、教育水平与性别之间的所有双向交互效应在统计上也不显著。结果表明,性别与健康状况和教育水平对个人就业概率没有相乘效应。此外,鉴于中国活跃的劳动力市场和就业中的性别差距,该研究还提出了重要的政策含义。