摘要
基于中国流动人口动态监测数据,考虑数据分层聚类性和幸福感排序性,采用分层排序模型研究流动人口主观幸福感。从个体特征和社区特征层面分析各因素对流动人口幸福感的影响,并从收入视角分析流动人口幸福感的异质性。研究发现:流动人口主观幸福感总体不高,幸福感随着收入的提高而提升,且收入对幸福感的边际效用递减,但在极高收入阶层中,收入提高对幸福感的提升作用不显著;幸福感的影响因素在不同收入阶层之间具有一定差异性。
Based on the dynamic monitoring data of floating population in China,considering the hierarchical clustering of data and the ranking of well-being,the hierarchical ranking model is used to study the subjective well-being of floating population. From the perspective of individual characteristics and community characteristics,this paper analyzes the impact of various factors on the well-being of floating population and analyzes the heterogeneity of well-being of floating population from the perspective of income.The study finds that the subjective well-being of floating population is generally not high,the well-being increases with the increase of income,but the marginal utility of income to well-being decreases. For the very high-income group,the increase of income doesn't significantly enhance the well-being of floating population. The influencing factors are different among different income groups.
作者
莫旋
阳玉香
MO Xuan;YANG Yuxiang
出处
《湖南师范大学社会科学学报》
CSSCI
北大核心
2018年第3期91-98,共8页
Journal of Social Science of Hunan Normal University
基金
湖南省哲学社会科学基金项目"基于自选择与异质性视角的政府培训和流动人口收入研究"(17YBA046)
湖南省社会科学成果评审委员会项目"经济新常态下湖南省劳动力市场劳资双方议价能力测度"(XSP17YBZZ005)
湖南省社会科学成果评审委员会项目"经济新常态下湖南流动人口劳动市场和谐劳动关系色构建研究"(XSP18YBZ127)
关键词
分层异质
流动人口
主观幸福感
收入
分层排序模型
hierarchical heterogeneity
floating population
subjective well-being
income
hierarchical ranking model