ISSN 1671-3710
CN 11-4766/R

心理科学进展 ›› 2020, Vol. 28 ›› Issue (10): 1631-1649.doi: 10.3724/SP.J.1042.2020.01631

• 元分析 • 上一篇    下一篇


胥彦1, 李超平2()   

  1. 1中国人民大学公共管理学院
    2中国人民大学公共管理学院人才与领导力研究中心, 北京 100872
  • 收稿日期:2020-03-16 出版日期:2020-10-15 发布日期:2020-08-24
  • 通讯作者: 李超平
  • 基金资助:
    * 国家自然科学基金资助(71772171);中国人民大学2019年度拔尖创新人才培育资助计划成果

The impact of demographic characteristics on public service motivation: Evidence from meta-analysis

XU Yan1, LI Chaoping2()   

  1. 1School of Public Administration and Policy, Renmin University of China, Beijing 100872, China
    2The Center for Talent and Leadership, School of Public Administration and Policy, Renmin University of China, Beijing 100872, China
  • Received:2020-03-16 Online:2020-10-15 Published:2020-08-24
  • Contact: LI Chaoping


采用元分析方法探讨人口统计学特征与公共服务动机之间的关系。经筛选, 共纳入138篇492个独立样本(N = 1078442)。结果发现, 性别、年龄、教育程度、组织任期、工作任期、职位等级和收入与公共服务动机之间均呈显著的正相关关系, 且与公共服务动机不同维度之间的关系均存在差异, 婚姻状况与公共服务动机间不存在显著的相关关系。此外, 公共服务动机测量工具、测量时间点和文化背景对部分人口统计学特征与公共服务动机之间的关系有调节作用。研究结果为人口统计学特征如何影响公共服务动机提供了较为精确的估计, 对于发展公共服务动机理论, 激励员工工作积极性, 提高公共部门服务水平都有重要意义。

关键词: 公共服务动机, 人口统计学特征, 元分析, 公共服务动机测量工具, 文化背景


The method of meta-analysis was utilized to analyze the influence of demographic characteristics on public service motivation (PSM). 138 documents and 492 independent samples (N = 1078442) in total meet the criteria of meta-Analysis. Results showed that gender, age, education, organizational tenure, job tenure, position level and income were correlated with PSM positively. However, the linkages between demographic characteristics and PSM varies with dimensions of PSM, and there is no obvious correlation between marital status and PSM. In addition, the relationships between some demographic characteristics and PSM are moderated by PSM measurements, waves of data collection and cultural backgrounds. The results provided not only accurate estimates for how PSM is affected by demographic characteristics, but also insights for future research of PSM and management of public employees.

Key words: public service motivation, demographic characteristics, meta-analysis, PSM measurements, cultural difference