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논문 기본 정보

자료유형
학술저널
저자정보
FAN JIANCHENG (경희대학교) 정기택 (경희대학교)
저널정보
경희대학교 경영연구원 의료경영학연구 의료경영학연구 제16권 제4호
발행연도
2022.12
수록면
31 - 45 (15page)

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초록· 키워드

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Background: China's medical security system is mainly composed of two parts: Basic Medical Insurance(BMI) and Private Health Insurance(PHI). Among them, the BMI provides reimbursement of basic medical expenses for the insured persons according to different proportions. PHI is a necessary supplement to the BMI and provides assistance to the insured persons in the event of illness or accident. By having PHI, people can obtain medical protection outside the coverage of BMI. On the one hand, the potential demand for China's PHI is huge. On the other hand, the effective demand for China's PHI is insufficient. To this end, we need to find and analyze the determinants of having PHI to stimulate the effective demand of consumers in the health insurance market, so as to fundamentally solve the bottleneck of the development of PHI. Methods: This study used the cross-sectional data of CFPS 2018 released by the China Family Panel Studies (CFPS) in December 2020. The sample is divided into three types: risk aversion, risk neutral, risk preference. By constructed PHI purchase behavior model and using the method of binary logistic regression, the determinants of having PHI were analyzed. Results: The results show that, without grouping based on personal risk appetite, 9 of the 14 independent variables including risk appetite have a significant effect on having PHI. Specifically, it is BMI, age, marital status, urban and rural classification, education level, family population size, annual income, annual medical expenditure and risky financial investment. Among the three models grouped by risk appetite, In the risk aversion model, 10 independent variables including BMI, age, urban and rural classification, education level, residential area, family population size, annual income, annual medical expenditure, risky financial investment and real estate a total have significant effects. In the risk neutral model, 4 independent variables including BMI, education level, total expenditure and risky financial investment have significant effects. In the risk preference model, 5 independent variables including BMI, age, education level, annual income and risky financial investment have significant effects. Conclusion: This study found that the type of risk appetite does not have a significant effect on having PHI, but there are differences in the determinants of having PHI according to different risk appetite types. In addition, we also found that as the degree of sensitivity to risk increases, the proportion of having BMI will increases, while having PHI will decreases. This has certain positive significance for the mutual promotion of PHI and BMI.

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