With the emergence of population structure issues in China,risks in the real estate industry are increasing,and attention to financial risks facing households is growing.This article uses data from the 2019 China Household Finance Survey(CHFS)and employs probabilistic statistical methods to measure household financial vulnerability.It investigates the impact of the elderly dependency ratio,child dependency ratio,and family size on household financial vulnerability and further explores the role of family property ownership.Empirical research findings are as follows:Firstly,the elderly dependency ratio significantly mitigates household financial vulnerability,while increases in the child dependency ratio and family size exacerbate household financial vulnerability,with heterogeneity existing between different income groups and urban-rural families.Secondly,an increase in the elderly dependency ratio reduces household property debt and increases property value,whereas increases in the child dependency ratio and family size lead to higher property debt and property value.Thirdly,property debt has a significant positive impact on household financial vulnerability,while property value has a significant negative impact.Based on this,the article suggests alleviating household debt burden and mitigating household financial vulnerability from several aspects including maintaining stable housing prices,reducing childcare costs,and improving the pension financial system.
关键词
人口结构/家庭金融脆弱性/房产负债/房产价值/养老金融/抚养比
Key words
Population structure/Family financial vulnerability/Property debt/Property value/Aging finance/Dependency ratio
维普
万方数据