Does the integration of urban and rural health insurance influence the functional limitations of the middle-aged and elderly in rural China?

Huang, Hao; Yeo, Yeonghun

doi:10.1016/j.ssmph.2023.101439

Cited by 3 publications

(1 citation statement)

References 57 publications

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“…Next, this study conducted a weak instrument test, and the results significantly rejected the null hypothesis of “weak instrument,” indicating no weak instrument problem. After adjusting for instrumental variables, urban-rural resident health insurance and integration still significantly reduced the frailty index, promoting the health of rural older people people ( 37 ). Compared to not controlling for endogeneity, controlling for endogeneity results in an increase in the absolute value of the regression coefficient for the variable “whether to participate in urban-rural resident health insurance.” If endogeneity is not addressed, the health effects of urban-rural resident health insurance integration will be underestimated ( 38 ).…”

Section: Baseline Regression Analysis Of the Impact Of Urban-rural Re...mentioning

confidence: 99%

Does the increase in health insurance benefits have different effects on the health of middle-aged and older people individuals in rural areas? Analysis based on quantile difference-in-differences method

Qin,

Wang

2024

Front. Public Health

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In the context of healthy aging, enhancing health performance is an intrinsic requirement for the development and reform of the health insurance system. This paper mainly discusses the health effects of increasing medical insurance benefits on people with different levels of health. So this paper utilizes multiple rounds of data from the China Health and Retirement Longitudinal Study (CHARLS) and employs the quantile difference-in-differences method to systematically investigate the impact effects of the integration of urban and rural residents' health insurance on the frailty levels of rural middle-aged and older people individuals. The research findings are as follows: Firstly, the integration of urban and rural resident health insurance has mitigated the frailty level of rural older people individuals, with a more pronounced impact on those with poorer health statuses. Secondly, in terms of heterogeneity analysis, the health performance effects of the urban-rural health insurance integration policy are more significant among the older people population and in the western regions. Thirdly, the integration of urban and rural resident health insurance primarily improves health by reducing the burden of medical expenses, with a greater impact on the older people population with poorer health statuses. Based on the research findings, we recommend addressing the disparities in healthcare benefits across various insurance systems, alleviating the financial burden of healthcare for impoverished individuals, and consistently improving the coordination of healthcare insurance policies for both urban and rural residents.

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Section: Baseline Regression Analysis Of the Impact Of Urban-rural Re...mentioning

confidence: 99%

Does the increase in health insurance benefits have different effects on the health of middle-aged and older people individuals in rural areas? Analysis based on quantile difference-in-differences method

Qin,

Wang

2024

Front. Public Health

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Does Medical Insurance Integration Reduce Frailty Risk? Evidence From Rural Older Adults in China

Yang,

Guo

2024

The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences

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Objective This study aimed to assess the impacts of China’s health insurance integration reform on frailty among rural older adults. Methods Nationally representative longitudinal data with 2,751 adults aged ≥60 years were analyzed from the China Health and Retirement Longitudinal Study 2011-2015. The integration of the rural New Cooperative Medical Scheme and urban Resident Basic Medical Insurance into the unified Urban and Rural Resident Basic Medical Insurance (URRBMI). Frailty Index (FI) summarizes 32 health deficits, quantifying frailty severity with a range of 0-1. Frailty is defined as FI ≥0.25, prefrailty as FI 0.10-0.25, and robustness as FI <0.10. Frailty worsening, stability, and improvement from 2011-2015 were assessed. Difference-in-differences and propensity score matched difference-in-differences models assessed URRBMI integration effects on frailty severity and risk (FI ≥0.25) among rural older adults. Results URRBMI integration significantly reduced frailty severity by 15.16% and risk by 9.60 percentage points among rural older adults. Reductions were greatest among initially prefrail individuals, with 27.49% lower frailty severity and a 17.62 percentage point reduction in subsequent frailty onset risk after URRBMI integration. In contrast, no significant benefits were observed for initially robust or frail subgroups following integration. Analyses of frailty transitions corroborated selective benefits, with URRBMI integration lowering the risks of worsening frailty among prefrail but no significant reversal of frailty status among those initially frail or prefrail. Discussion China’s URRBMI integration selectively ameliorated frailty progression among rural older adults with prefrail status. Targeting integrated medical insurance policies toward high-risk populations may optimize frailty prevention effects.

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Is environmental regulation conducive to the reduction of residents’ health costs? – evidence from the Chinese Family Panel Survey

Xu,

He,

Qin

et al. 2024

Ecol Process

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Background In response to environmental degradation and the associated health challenges, the Chinese government has implemented a comprehensive array of environmental protection measures. Given the health enhancement objective of environmental protection measures and the considerable costs involved in the implementation process, evaluating whether environmental regulation is beneficial to reducing the health costs of the population is of great significance for enhancing environmental governance efficiency and social welfare. The data from the Chinese Family Panel Survey (CFPS) is applied to examine the effect of environmental regulation on the reduction of residents’ health costs from a microscopic perspective. Results The results indicate that for a 1% increase in total investment in environmental governance, residents’ health costs will decrease by 0.189%. The examination of the causal pathway suggests that implementing environmental regulation can diminish residents’ health costs through improving air quality and residents’ health status. Concurrently, there exist significant heterogeneities in the role of environmental regulation in reducing residents’ health costs. The effect of environmental regulation is more pronounced for the young, males, and individuals with better self-perceived health. Furthermore, the outcome of environmental regulation exhibits greater efficacy in urban areas compared to rural areas. Lastly, market-incentive environmental regulation in reducing health costs is more effective than command-controlled regulation. Conclusions Enhancing the intensity of environmental regulation contributes to decreasing residents’ health costs. The findings can provide policy reference for implementing environmental governance and achieving tangible enhancements in individuals' life quality.

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Does the integration of urban and rural health insurance influence the functional limitations of the middle-aged and elderly in rural China?

Cited by 3 publications

References 57 publications

Does the increase in health insurance benefits have different effects on the health of middle-aged and older people individuals in rural areas? Analysis based on quantile difference-in-differences method

Does the increase in health insurance benefits have different effects on the health of middle-aged and older people individuals in rural areas? Analysis based on quantile difference-in-differences method

Does Medical Insurance Integration Reduce Frailty Risk? Evidence From Rural Older Adults in China

Is environmental regulation conducive to the reduction of residents’ health costs? – evidence from the Chinese Family Panel Survey

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