机会公平视角下扩大中等收入群体的路径研究OACHSSCD
Research on the Path of Expanding the Middle-Income Group from the Perspective of Equality of Opportunity
"十五五"规划明确要求稳步扩大中等收入群体规模.采集 CGSS 2008-2021 年的五轮调查数据,在界定我国不同收入群体和梳理"扩中"路径基础上,采用参数回归法与机器学习方法,测度不同收入状态及"扩中"路径上的机会不平等系数,并对环境因素与教育渠道贡献进行分解分析.研究发现:2008-2021 年,我国中等收入群体扩增需重点瞄准的脆弱性中等收入群体和潜在中等收入群体占总人口的比重在 27.95%~34.19%.基于二元结果变量的机会不平等测度结果表明,不同收入状态下各收入群体面临的机会不平等并不一致,高收入群体最大,低收入群体次之,中等收入群体最小."稳中"路径面临的机会不平等最大,"提低"路径次之,"入中"路径最小.居住地、出生时户籍、父母职业、父母教育等是阻碍我国中低收入群体收入状态提升的重要机会因素,且主要通过教育间接渠道发挥作用.未来要以促进机会公平为着力点,保障中低收入者共享公平的发展机会,实现"扩中"与"稳中".
Ensuring that low-and middle-income individuals share in fair development opportunities is critical for expanding the middle-income group.This article collects the China General Social Survey(CGSS)data from 2008 to 2021.Based on defining different income groups and pathways to"expand the middle-income group,"it employs parametric regression and machine learning methods to measure the opportunity inequality coefficients across different income statuses and the pathways to expand the middle-income group.Additionally,the contribution of environmental factors and educational channels is decomposed and analyzed.The study finds that,first,from 2008 to 2021,the vulnerable and potential middle-income groups that need to be targeted in the expansion of China's middle-income group accounted for 27.95%to 34.19%of the total population.Second,the measurement results of opportunity inequality based on binary outcome variables indicate that the opportunity inequality faced by different income groups is not consistent under different income states,with high-income groups having the largest opportunity inequality,followed by low-income groups,and middle-income groups having the smallest opportunity inequality.The"stabilizing the middle-income group"pathway faces the highest opportunity inequality,followed by the"lifting the low-income group"pathway,and the"entering the middle-income group"pathway has the lowest inequality.The results from parametric regression and machine learning methods are relatively consistent.The results from parametric regression and machine learning methods are relatively consistent.Third,factors such as place of residence,household registration at birth,parents'occupation,and parents'education significantly impede income mobility for low-and middle-income groups,primarily through indirect educational channels.
于学霆;李莹
重庆工商大学 数学与统计学院,重庆 400067中国社会科学院 数量经济与技术经济研究所,北京 100732
管理科学
中等收入群体机会不平等环境因素教育渠道
middle-income groupinequality of opportunityenvironmental factorseducational channels
《经济与管理》 2026 (5)
27-37,11
国家社会科学基金一般项目(24BTJ053)
评论