School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China.
Zhuhai Institute of Urban Planning and Design, Zhuhai 519072, China.
Int J Environ Res Public Health. 2022 Jul 31;19(15):9409. doi: 10.3390/ijerph19159409.
With the great pressure of modern social life, the problem of residents' subjective well-being has attracted scholars' attention. Against the background of institutional transformation, China has a special social stratification structure. The socio-economic resources and living needs of different social classes are different, resulting in differences in the level of subjective well-being and the influencing factors for this. Taking Guangzhou as an example, based on the data of a household survey conducted in 2016, this paper obtains the social hierarchical structure through two-step clustering, and explores the differences between influencing factors for subjective well-being using multiple linear regression models. The clustering results divided Guangzhou urban residents into four classes: retirees, white-collar workers outside the system, manual workers and white-collar workers inside the system. The subjective well-being of white-collar workers inside the system and manual workers is high. The subjective well-being of white-collar workers outside the system is below the average value, and retirees have poor subjective well-being. The results of the regression analysis show that the subjective well-being of all social classes could be improved by active participation in fitness exercises, harmonious neighborhood relationships and a central residential location. Health-related factors such as physical health, sleeping time and density of neighborhood medical facilities, have a significant impact on manual workers' subjective well-being. An increase in the density of neighborhood leisure facilities could help to improve the subjective well-being of white-collar workers outside the system. However, this would inhibit the subjective well-being of white-collar workers within the system. By revealing the differences in influencing factors for different social groups' subjective well-being, the research conclusions could provide a reference for the formulation of targeted policies and measures to improve residents' subjective well-being in urban China.
在现代社会生活的巨大压力下,居民主观幸福感问题引起了学者们的关注。在中国制度转型的背景下,存在着特殊的社会分层结构。不同社会阶层的社会经济资源和生活需求不同,导致主观幸福感水平和影响因素存在差异。以广州为例,基于 2016 年进行的一项家庭调查数据,本文通过两步聚类法得到社会阶层结构,并采用多元线性回归模型探讨主观幸福感的影响因素差异。聚类结果将广州市城镇居民分为四类:退休人员、体制外白领、体力劳动者和体制内白领。体制内白领和体力劳动者的主观幸福感较高,体制外白领的主观幸福感低于平均值,而退休人员的主观幸福感较差。回归分析结果表明,积极参与健身锻炼、邻里关系和谐以及居住在中心位置等因素都能提高所有社会阶层的主观幸福感。身体健康、睡眠时间和邻里医疗设施密度等健康相关因素对体力劳动者的主观幸福感有显著影响。增加邻里休闲设施密度有助于提高体制外白领的主观幸福感,但会抑制体制内白领的主观幸福感。揭示不同社会群体主观幸福感影响因素的差异,可以为制定有针对性的政策和措施提供参考,以提高中国城市居民的主观幸福感。