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公共卫生硕士研究生就业起薪影响因素:基于2022年网络调查

Determinants of starting salaries among master of public health graduates: a web survey in 2022

  • 摘要:
    目的 探讨公共卫生硕士研究生就业起薪的影响因素,为提高学生就业质量提供参考依据。
    方法  采用2022年6—7月全国医学应届毕业研究生教育满意度调查数据,对全国54所院校495名已就业的公共卫生硕士研究生的就业起薪进行分析,利用非配对的二元logistic回归对就业起薪影响因素进行分析,采用shapley值分解法探究各变量对公共卫生硕士研究生就业起薪的影响程度。
    结果  就业地区、就业单位、家庭人均年收入和性别是公共卫生硕士研究生就业起薪的主要影响因素。与东部地区就业相比,中部地区就业者获得高起薪概率是东部地区就业者的0.17倍(OR=0.17,95%CI=0.09~0.33),西部地区就业者获得高起薪概率是东部地区就业者的0.33倍(OR=0.33;95%CI=0.21~0.52);疾病预防控制中心就业者高起薪概率是综合医院就业者的0.34倍(OR=0.34;95%CI=0.21~0.55)。家庭经济条件好的学生获得高起薪的概率是低收入家庭的1.68倍(OR=1.68;95%CI=1.12~2.54)。男性获得高起薪的可能性是女性的1.67倍(OR=1.67;95%CI=1.06~2.66)。shapley值分解法发现,归因于劳动力市场的结构性导致的公共卫生硕士研究生就业起薪差异贡献率占83.50%;就业单位对就业起薪差异的贡献(42.75%)高于就业地域(40.75%)。
    结论  公共卫生硕士研究生的就业起薪主要受劳动力市场结构性因素主导,就业单位类型的影响强度高于就业地区,同时家庭人均年收入和性别亦是影响起薪的重要因素。

     

    Abstract:
    Objective To investigate the determinants of starting salaries among master of public health (MPH) graduates, thereby giving insights for enhancing career outcomes.
    Methods The data from the National Survey of Educational Satisfaction among Medical Graduates (June–July 2022) were used to analyze the starting salaries of 495 employed MPH graduates from 54 colleges and universities across China. Unpaired binary logistic regression was adopted to identify the factors influencing starting salaries, while Shapley value decomposition was employed to quantify the relative contribution of each variable.
    Results Geographic location of employment, employer type, annual household income per capita, and gender were primary determinants of starting salaries. Compared with the graduates employed in eastern China, those in central China had 0.17 times the odds of securing higher starting salaries (95%CI: 0.09–0.33), while those in western China had 0.33 times the odds (95%CI: 0.21–0.52). Graduates employed at centers for disease control and prevention (CDCs) had 0.34 times the odds of securing higher starting salaries relative to those at comprehensive hospitals (95%CI: 0.21–0.55). Graduates from high-income households exhibited 1.68 times the odds of securing higher starting salaries than those from low-income households (95%CI: 1.12–2.54). Male graduates had 1.67 times the odds of securing higher starting salaries compared with female graduates (95%CI: 1.06–2.66). Shapley value decomposition revealed that structural factors of the labor market accounted for 83.50% of starting salary disparities. The contribution of employer type (42.75%) exceeded that of geographic location of employment (40.75%).
    Conclusions Structural factors of the labor market predominantly influence the starting salaries of MPH graduates, with employer type exerting a stronger effect than geographic location of employment. Annual household income per capita and gender also significantly impact starting salaries.

     

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