摘要
公共服务一直是政府治理的关注点。以北大核心和CSSCI 期刊为索引来源收集268 篇公共服务满意度的相关文献,运用关键词共现分析、关键词聚类分析、时间线图谱等可视化方法,对公共服务满意度进行研究热点与前沿趋势分析,可以为新时代公共服务建设政策提供参考。结果表明:国内公共服务满意度的研究议题广泛,主要集中在公共服务满意度水平、公共服务满意度测评和公共服务满意度影响因素等方面;早期研究主要关注公共服务各维度的满意度水平及服务质量提升,近年来学者们开始把注意力聚焦在公共服务满意度水平的地区差异上,并广泛探究社会信任、政务公开、收入差距、感知价值、投资偏好、政策执行等潜在影响要素的影响;公众参与、财政分权、农村居民、绩效评估等将会是未来公共服务满意度的研究趋势。
Public service has always been the focus of government governance. 268 literatures related to public service satisfaction were collected from the core journals of Peking University and CSSCI as index sources. Visualization methods such as keyword co-occurrence analysis, keyword cluster analysis and time line graph were used to analyze the research hotspots and frontier trends of public service satisfaction, in order to improve the governments public service capability. At the same time for the new era of public service construction policy to provide reference. The results show that the research topics of domestic public service satisfaction are extensive, mainly focusing on the level of public service satisfaction, the evaluation of public service satisfaction and the influencing factors of public service satisfaction. Early studies mainly focused on the satisfaction level of various dimensions of public service and the improvement of service quality. In recent years, scholars have begun to focus their attention on regional differences in the satisfaction level of public service, and have extensively explored the influence of potential influencing factors such as social trust, government openness, income gap, perceived value and investment preference. Information disclosure, policy implementation, supply and demand adaptation will be the research trends of public service satisfaction in the future.
作者
于娇
刘美含
Yu Jiao;Liu Meihan(College of Management,Shenyang Normal University,ShenyangLiaoning110034;College of Economics,Nankai University,Tianjin 300071)
出处
《沈阳师范大学学报（社会科学版）》
2023年第1期73-78,共6页
Journal of Shenyang Normal University(Social Science Edition)
基金
教育部人文社会科学研究青年项目(17YJC630202)
中国博士后科学基金面上项目(2018M631721)
辽宁省教育厅基金项目(WQN202019)。
关键词
公共服务
满意度
关键词聚类
文献计量法
public services
satisfaction degree
key words clustering
bibliometric method
