Background The Chinese government has now achieved universal coverage of medical insurance through two systems: the Basic Medical Insurance System for Urban Employees (BMISUE) and the Basic Medical Insurance System for Urban and Rural Residents (BMISURR). This paper aims to identify the impact of China’s current medical insurance system on equity in the use of health services by the floating elderly population from two aspects: institutional differences and geographical disparity. Methods The data used in the study are from the China Migrants Dynamic Survey (CMDS) conducted by the National Health and Wellness Council of China. This study uses the Logit model to estimate the impact of the medical insurance system on the utilization of health services and the Propensity Score Matching (PSM) method to further test the robustness of the results. Results The study found that the type of medical insurance does not affect health services utilization by the floating elderly population in China. However, for those participating in the same medical insurance, participation in different regions will significantly affect the use of health service resources. For the BMISURR, when the place of the insurance is the same as the place of residence, the proportion of the floating elderly population that will see a doctor when they are sick will increase by 4.80%. For the BMISUE, when the place of the insurance is the same as the place of residence, the proportion of the floating elderly population that will see a doctor when they are sick will increase by 10.30%. Conclusions The difference between the place of insurance and the place of residence results in the unbalanced utilization of health services by the floating elderly population participating in the same medical insurance system.
The impact of health insurance on residents’ health is one of the focal points of academic research. Due to the fact that China’s medical insurance system is composed of a variety of programs and that the pooling districts are at the lower administrative level, enrollment in different medical insurance programs or at different places may have certain influences on the health of residents. This has mostly been neglected by previous studies. This paper uses data from the 2015 China Migrants Dynamic Survey (CMDS), focusing on the senior floating population and taking the difference in government subsidy proportions as an instrumental variable in order to identify the effects of health insurance programs and regional differences on the health of the senior floating population. Three effects were observed: First, participation in the health insurance system significantly improves floating seniors’ self-rated health. Second, the health status of floating seniors affects their choice of health insurance program: Less healthy persons tend to choose high-paying, wide-coverage basic medical insurance available for urban employees. Using an instrumental variable to control for the problem of endogeneity, it is discovered that compared with the basic medical insurance system for urban residents, the system for urban employees significantly enhances the health of the senior floating population. Third, “adverse selection” could be observed in the choice between enrolling in health insurance at the place of settlement or another place. Senior migrants with worse self-rated health tend to choose place of settlement in order to enjoy higher compensation and less complex reimbursement procedures. With an instrumental variable to control for the problem of endogeneity, it was found that compared with joining the medical insurance system at other places, joining at a place of settlement could improve the health of the floating senior population.
The impact of medical insurance on the health of the insured has long been an issue of major concern within academia. From the beginning of the 21 st century, the Chinese government has invested a large amount of money in national medical insurance programmes. China's current national medical insurance system consists of three types of programmes: basic medical insurance for urban employees (BMIUE), basic medical insurance for urban and rural residents (BMIURR), and public medical insurance (PMI). These three types of medical insurance have significant differences in terms of premiums, policy deductibles, and levels of coinsurance, thus providing us with the opportunity to study the different impacts these programmes have on their covered members. Based on the 2016 China Family Panel Studies (CFPS) conducted by the China Social ScienceResearch Centre in Peking University, this paper applies the ordered probit model to study the various impacts of these three programmes on the insured under each plan. The study found that compared with citizens who are not enrolled in any insurance programme, citizens who are covered by one of the three programmes report better health; compared with those covered by the BMIUE and BMIURR plans, members covered under the PMI programme report significantly better health; and after controlling for the
Purpose: Medical insurance is a disease risk-sharing mechanism that can improve residents' financial access to medical treatment and thus increase their utilization of health services. This paper aims to identify the impact of different kinds of medical insurances on the use of healthcare for Chinese mid-aged and older urban residents from four aspects: outpatient behaviour, outpatient costs, inpatient behaviour and inpatient costs. Materials and Methods: The data used in this study were from 2015 China Health and Retirement Longitudinal Study (CHARLS) conducted by Peking University. Binary logit model and multiple linear regression model were used to analyse the impact of health insurance on the use of healthcare, and the PSM method was used to test the robustness of the results. Results: Participating in either BMIUSE or BMISURR can significantly improve all kinds of healthcare utilization for mid-aged and older urban groups. However, there are huge differences on the healthcare utilization between BMISUE and BMISURR. Specifically, the probability of using inpatient care and inpatient costs of urban residents enrolled in the BMISUE are 4.2% and 45% higher, respectively, than those covered by the BMISURR, but there are no differences in outpatient care utilization and outpatient costs between these two health insurance programs. Conclusion: This paper suggests that the large gaps between BMISUE and BMISURR only reflect on inpatient care and inpatient costs, there is no difference in outpatient services between these two health insurance programs. "Excessive demand", "induced demand" and other moral hazard phenomena in BMISUE should be avoided when receiving hospitalization services.
As an important source of income for elderly people, pensions have a great impact on their wellbeing. There are three different pension systems in China (the Old-age Insurance System for Government Agencies and Institutions (OISGAI), the Basic Old-age Insurance System for Urban Employees (BOISUE) and the Social Insurance of the Old-age Pension for Urban and Rural Residents (SIOPURR)). This study empirically analyses the impact of various pension types on the happiness of elderly people in China and further explores the potential impact mechanism using the 2014 China Family Panel Studies data. The study suggests that first, receiving pensions from OISGAI, BOISUE and SIOPURR is positively correlated with the happiness level of elderly people. Second, the sense of happiness of elderly people who receive BOISUE is higher than that of those receiving SIOPURR, which is mainly caused by the difference in the level of pension benefits. When the level of benefits is controlled for, there is no significant difference between these two groups. Third, when they have the same level of pension benefits, the happiness of elderly people who receive OISGAI is significantly higher than that of those who receive pensions from the other two systems, which is possibly related to the hidden ‘special’ government guarantee and the difference of the growth rate of the benefit level.
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