Background: There are many kinds of chronic diseases, high incidence and high hospitalization rate in older people caused by population aging. The increasing demand for healthcare services has become an increasingly prominent problem in Chinese society. The purpose of this paper is to explore the influence of social support on multiple healthcare services for older people and the urban-rural differences among them.Methods: The data are from our field survey in Shaanxi province in 2019. Using the Anderson model as the basic explanatory framework, this paper uses the Tobit-model to analyses the impact of social support for older people on the utilization of therapeutic healthcare services, and the Logit-model to analyze the impact of living arrangements and social support on the utilization of preventive healthcare services for older people.Results: This paper examines the impact of formal and informal support on outpatient, inpatient, and preventive healthcare services for older people, provides an in-depth analysis of the differences in the impact of social support on healthcare service utilization between urban and rural older people and analyses the contribution of various factors to the impact. The coefficient effect is divided into two parts: the coefficient “premium” of urban older people relative to urban and rural older people as a whole, which accounts for 10.8% of the total difference; and the “premium” of urban and rural older people as a whole to rural older people, which accounts for 18.9% of the total difference. The coefficient effect accounts for 29.7 per cent of the total difference.Conclusions: Rural older people place greater importance on the quantity of formal social support, while urban older people place greater importance on the quality of formal social support. The phenomenon of raising children for old age was evident in the use of healthcare services by rural older people, while the phenomenon of distant relatives being better than close neighbors was evident in the use of healthcare services by urban older people. Free preventive healthcare services in rural China have largely compensated for the lack of health benefits for rural older people.

Background: China has the largest number of aging people in need of long-term care, among whom 70% have chronic diseases. For policy planners, it is necessary to understand the different levels of needs of long-term care and provide long-term care insurance to ensure the long-term care needs of all people can be met. Methods: This study combines the 2013 wave of CHARLS survey and the Life Course Survey of 2014. The combination allows us to factor in both childhood and adulthood data to provide life-course analysis. We identified 7,734 older adults with chronic diseases for analysis. The need for long-term care is defined by the presence of functional limitations based on the performance of basic activities of daily living (ADLs) and of instrumental activities of daily living (IADLs). Two dummy variables, ADLs disability and IADLs disability, and two count variables, ADLs score and IADLs score, were defined to measure incidence and severity of long-term care need, respectively. The concentration index was used to capture the inequality in long-term care need, and a decomposition method based on Probit Regression and Negative Binomial Regression was exploited to identify the contribution of each determination. Results: At least a little difficulty was reported in ADLs and IADLs in 20.44% and 19.25% of respondents, respectively. The concentration index of ADLs disability, ADLs score, IADLs disability, IADLs score were −0.085, −0.109, −0.095 and −0.120, respectively, all of which were statistically significant, indicating the pro-poor inequality in the incidence and severity of long-term care need. Decomposition analyses revealed that family income, education attainment, aging, and childhood experience played a significant role in explaining the inequalities. Conclusions: The long-term care need among older adults with chronic disease is high in China and low socioeconomic groups had a higher probability of needing long-term care or need more long-term care. It is urgent to implement long-term care insurance, especially for the individuals from lower socioeconomic groups.

This study employs latent class analysis to analyze the social participation patterns of elderly Chinese, as well as the impact of different social participation patterns on memory. According to the results, older persons exhibit four distinct social participation patterns. and senior citizens with a strong emphasis on entertainment had a better memory than those with a low participation level. Although there was no difference in urban elders' memory across the four social engagement patterns, the connection varied significantly between urban and rural seniors. As a result, it is suggested that the elderly's memory be improved by protecting their right to social involvement, enriching the style and content of social participation, and assuring the continuity of their social obligations.

The Novel Coronavirus (COVID-19) outbreak prompts researchers and policy makers to re-evaluate the impact of infectious disease on economy. Taking SARS outbreak in 2003 as a quasi-natural experiment, we examined the impact of infectious diseases on Chinese real sector’s investment through a difference in difference (DID) approach. The empirical results show that after the outbreak of SARS, the investment of China’s real sector firms had increased significantly. This conclusion is verified by several robustness tests. The mechanism tests indicate that the SARS epidemic could increase the investment of real sector firms through two paths. First of all, the outbreak of the epidemic led to dramatic fluctuations in the capital market, then companies shifted their assets from the financial market to the relatively low-risk real sector; additionally, in response to the outbreak of SARS, companies and the government reduced operating costs and fees, resulting in a synergistic effect which also increased investment of the real sector.

The study creates a simplified game model to propose a suitable policy to foster a win-win scenario between care institutions and families of the disabled elderly, and to give a reference basis for enhancing the welfare level of the disabled elderly as well as the commercial performance of care institutions. First, we study and synthesise the experiences of contemporary Chinese long-term care pilot cities to offer data for subsequent numerical analysis; second, we create an evolutionary game model to depict the conflicts and evolving patterns of conflicts between the disabled elderly and care facilities in China; and third, we use numerical analysis to investigate the effects of internal factors (cost of care, price of care) and policy assistance (government subsidies). Finally, we utilise numerical analysis to investigate how internal factors (cost of care, price of care) and policy assistance (government subsidy) affect the combination of solutions. The study reveals that (1) the two-sided strategic choices of care institutions and disabled families make the game unstable. (2) The government can influence the choice of care institutions and disabled families by tax rates and subsidies, implying a stability policy. (3) The presence of an evolutionary stabilization strategy implies that government control may have a desirable limit. When government engagement in this market is limited, “professional care, home care” finally becomes the evolutionary stability method.

Background/Objectives: Against the backdrop of increasing global aging and the trans-formation of family structures, grandparental caregiving has become commonplace, and its impact on the mental health of older persons is of great concern. Methods: Based on data from the 2023 Xi’an Jiaotong University Urban and Rural Elderly Family Support and Psychological Condition Survey, this study analyzed the impact of grandparental care-giving behaviors on the mental health of the elderly through the Psychological Condition Measurement Scale (PCMS), and comprehensively assessed the presence, intensity, and heterogeneous impact of grandparental caregiving behaviors by gender by applying linear regression modeling, the Propensity Score Matching (PSM) method, and the Instrumental Variables Method (IVM). Results: Grandparental care has a significant positive effect on the mental health of older people, but this positive effect diminishes as the intensity of care increases. The results of the sub-sample estimation show that grandparental caregiving has a positive effect on men’s and low-intensity caregiving on women’s mental health, but high-intensity caregiving has a negative effect on women’s mental health. In addition, in-tergenerational financial support and intergenerational emotional comfort play an im-portant mediating role between grandparental caregiving and the mental health of older persons, in line with the explanatory framework of intergenerational exchange theory. Conclusions: It is recommended that the Government support grandparental care for the elderly at the financial, social security, and policy levels; that society build a diversified system of elderly care services and strengthen public childcare services; and that families establish a value identity of two-way support.