教育程度对我国城乡居民幸福感影响机制研究——基于中国社会综合调查CGSS2013的数据

发布时间：2018-01-17 21:04

  本文关键词：教育程度对我国城乡居民幸福感影响机制研究——基于中国社会综合调查CGSS2013的数据　出处：《当代教育科学》2017年11期 　论文类型：期刊论文

  更多相关文章： 教育程度 收入水平 主观幸福感 城乡二元结构 教育公平

【摘要】：基于中国社会综合调查的数据,建立Order Logit和路径分析模型,探究教育程度的直接效应和中介效应对我国城乡居民主观幸福感的影响。研究发现,从全国范围来看,教育程度越高的人群趋向于有更强的幸福感,教育程度的直接效应和通过收入水平影响的中介效应都对我国城乡居民的主观幸福感有正向作用,对城市居民来说亦是如此;但对于乡村居民来说,更高的教育程度并不一定会带来更强的幸福感。我国城乡二元结构极大弱化了乡村居民通过接受教育的方式实现向上社会流动和进入主要劳动力市场机会的功能,其主要体现在乡村居民获取优质教育资源的难度加大、通过教育的方式实现向上流动和筛选功能在不断弱化、城乡差距拉大带来的读书无用论思潮日益凸显等方面,其造成教育程度对乡村居民主观幸福感的影响并不显著。
[Abstract]:Based on the data of China Social Comprehensive Survey, Order Logit and path analysis model are established. Explore the direct effect of education level and intermediary effect on the subjective well-being of urban and rural residents in China. The study found that the higher the education level of the population tend to have a stronger sense of well-being. The direct effect of education level and the intermediary effect through income level have positive effects on the subjective well-being of urban and rural residents in China, as well as on urban residents. But for rural residents. A higher level of education does not necessarily lead to greater happiness. The dual urban-rural structure in China has greatly weakened the function of rural residents in achieving upward social mobility and access to major labour market opportunities through education. . It is mainly reflected in the increase in the difficulty of rural residents to obtain high-quality educational resources, through the way of education to achieve upward mobility and screening function in the weakening. The increasing gap between urban and rural areas has brought about an increasingly prominent trend of thought in the theory of useless reading, and the impact of educational level on the subjective well-being of rural residents is not significant.
【作者单位】： 清华大学教育研究院;
【分类号】：G40-052
【正文快照】： 一、研究背景主观幸福感作为评价居民生活质量的重要指标,历来是各届政府与社会各界的关注焦点。2005年的《社会蓝皮书》深化了构建和谐社会的总体目标,提出要“建立一个更加幸福、公正、和谐、节约和充满活力的全面小康社会”。2007年开始,国家统计局与中央联合举办的《经济，

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