| According to the data of the seventh National census,in 2020,the population aged 60 and above in China was 264.02 million,accounting for 18.70%,among which,the population aged 65 and above was 190.64 million,accounting for 13.50%,an increase of5.44 and 4.63 percentage points respectively compared with the sixth national census.Therefore,the state attaches great importance to the challenges brought by population aging to the economy and society.Moreover,with the acceleration of the aging process of China’s population,the impact of aging population on the vulnerability of family finance is increasingly prominent.However,the academic circle pays little attention to the impact of population aging on household financial vulnerability,and lacks the analysis of its impact mechanism and heterogeneity.It is necessary to analyze the impact of population aging on household financial vulnerability in order to provide reference for the implementation of the national strategy of actively coping with population aging in the process of China’s new journey of building a modern socialist country and marching towards the second Centenary Goal.Therefore,based on the panel data of China household Tracking survey from 2010 to2018,this thesis empirically analyzes the impact of population aging on household financial vulnerability by using panel Logit and Probit regression models,and further discusses its mechanism with the help of mediation effect model.The results show that :(1)population aging significantly increases household financial vulnerability;(2)The impact of population aging on family financial vulnerability is different in different marital status,education level,health level or urban and rural areas;(3)Population aging increases household financial vulnerability by increasing risk aversion,reducing credit availability and increasing the digital divide.The above conclusions are helpful to better understand the formation of household financial vulnerability and further improve the relevant policies to deal with the impact of population aging to improve the accuracy of risk prevention and control. |
