Study on the Dynamic Relationship between Chinese Residents’ Individual Characteristics and Commercial Health Insurance Demand

Dados Bibliográficos

ID15468568
AutoresLing Tian (0000-0002-8523-4556, Ningbo University), Haisong Dong (0000-0002-2553-4952, Wuhan University, autor correspondente)
Ano2023
Volume20
Fascículo6
Páginas4797-4797
Data de publicação2023-03-09
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph20064797
PMID36981706
OpenAlexW4323664796
IdiomaEN
Referências citadas32

Based on the time series data of age characteristics, household registration characteristics, gender characteristics, education characteristics, marriage characteristics and commercial health insurance density of Chinese residents from 1997 to 2020, this paper aims to explore the dynamic relationship between the individual characteristics of Chinese residents and the demand for commercial health insurance by means of impulse response and variance decomposition analysis using an SVAR model. The results show that the age characteristics, household registration characteristics, gender characteristics, education characteristics and marriage characteristics of Chinese residents have a significant impact on the demand for commercial health insurance, but there is a time lag. There is a long-term equilibrium relationship between them: In terms of age characteristics and gender characteristics, the former has a positive effect in the short term and a significant inhibition on commercial health insurance demand in the long term, while the latter has the opposite. In terms of household registration characteristics, education characteristics and marriage characteristics, there are positive effects on the whole and negative effects in a particular period

Actuarial science · Business · Demographic economics · Econometrics · Economic growth · Economics · Health care · Health insurance · Lag · Sociology · Time lag · Variance (accounting · Variance decomposition of forecast errors · Computer Science · Demography · Global Health Care Issues · Healthcare Systems and Reforms · Insurance and Financial Risk Management