Population aging has become a major challenge for the Chinese government. Based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2018, this study adopts the propensity score matching (PSM) method to assess the effect of community home-based elderly care services (CHECS) on the life satisfaction of the elderly in China. The results demonstrate that CHECS can improve their life satisfaction. Compared with life care services (LCS) and medical care services (MCS), the positive effect of spiritual and cultural services (SCS) and reconciliation and legal services (RLS) is more obvious. Moreover, the heterogeneity test demonstrates that the effect is more significant for the elderly who live with their families, whose activities of daily living are unrestricted, and whose depression levels are lower. The results obtained indicate that CHECS need precise policies for different elderly groups, attention to the positive impact of SCS and RLS on the life satisfaction of the elderly, and the substantive effectiveness of LCS and MCS.

Global population aging has become a continuous and irreversible trend. Most of the elderly in China prefer “aging in place” owing to the influence of traditional concepts and social welfare, but many communities, as a basic place for the elderly to live, generally lack age-friendly infrastructure facilities. Based on the 2018 China Health and Retirement Longitudinal Study database, this study applies the propensity score matching method to empirically investigate the influence of the infrastructure facilities on the health of the elderly in China. The results show that adding elevators, installing bathing facilities, supplying gas or natural gas, and changing squatting toilets into sitting toilets, positively influence the health of the elderly, but there are some differences. The order of the degree of impact on self-rated health (SRH) was elevator > toilet type > kitchen gas supply > bathing facility, while that of activities of daily living (ADL) was bathing facility > toilet type > elevator > kitchen gas supply. Elderly people with different personal characteristics and family status have different degrees of ownership for the infrastructure facilities. It is suggested that age-friendly regeneration schemes be developed according to the different impacts and demands of the facilities.

China faces a growing challenge in providing adequate age-friendly care services due to a rapidly aging population. Smart older adults care (SOAC), developed under the concepts of age-friendly cities and communities (AFCC) and smart healthy age-friendly environments (SHAFE), aims to address this imbalance between service demand and supply. This study explored the impact of SOAC on the life satisfaction of older adults in China using a multi-level Logit model and data from CLASS 2020. The analysis considered both family and city perspectives. Our findings revealed significant positive effects on life satisfaction from the family perspective when SOAC offered high accessibility, application, and expansibility. Digital ability also plays a significant moderation role in this pathway of influence. For the city perspective, a positive correlation was found between digital urban service and life satisfaction, while the digital urban governance showed a negative correlation. Finally, the study identified a link between SOAC and improved life satisfaction, facilitated by a greater sense of gain from internet convenience.

The architectural characteristics of the house itself determine the basic value of the house, and the house price is also often tied to resources such as education, medical care, transportation, and environment, etc. Under the trend of population aging, the aging transformation of living environment has become the focus of social attention. Using Hedonic Model, the paper built an Overall Housing Price Model and two Sub Models in order to examine the impact of the characteristics related to aging suitability on housing price. Then the paper compared the Sub models to the Overall Model to explore the spatial heterogeneity of housing price. Based on the statistical results, some suggestions were finally put forward for the construction of suitable old living environment.

According to the theory of life cycle, with the growth of population age, the income level and house-buying preference will change, and the housing demand will also change. The paper applied Modigliani's life cycle theory to analyze the change of population age structure and housing price in Zhejiang Province. Then selected the population age structure, urbanization rate, GDP, residents' income, population natural growth rate, development and construction costs, real estate investment of 11 cities in Zhejiang Province from 2007 to 2019 to build an econometric model of the influencing factors of house prices. It is found that the proportion of population aged 18-35 is positively correlated with housing price, and the proportion of population aged over 60 is negatively correlated with housing price.