Study of Rural Revitalization
XU Jiawei, HAN Na, CUI Yangyang, LI Xue, LIU Menghu
Aging has become a common global problem, and the speed of China's aging is accelerating, while the solution of rural elderly care is even more urgent. Based on 202 questionnaires from 4 towns and 6 villages in Mengjin District, Luoyang City, Henan Province, a binary logistic regression model is used to construct a model for choosing rural elderly care mode with 15 indicators from 4 dimensions of basic characteristics, economic characteristics, psychological characteristics, and social support characteristics. The study shows that: among the basic characteristics, educational level, gender, marital status, living conditions, number of children, source of family income, monthly income, and stability have certain influences on the choice of elderly care mode; among the psychological characteristics, concerns about lack of care will affect the choice between institutional and mutual assistance elderly care; among the social support characteristics, satisfaction with social pension insurance subsidies will impact community-based home care. In the family elderly care model, gender and age have a significant positive effect on model selection, while education level and residence situation have a significant negative effect. In the institutional elderly care model, gender, age, education level, marriage, family income source, and monthly family income have a significant positive effect on model selection, while fear of abandonment and satisfaction with social pension insurance subsidies have a significant negative effect. In the case of the community elderly care model, education level, residence situation, number of children, daycare, fear of being left unattended, and satisfaction with social pension insurance subsidies have a significant positive effect on model choice, while the source of family income, age, and stability of income sources have a significant negative effect. In the mutual aid elderly care model, gender, marriage, living conditions, and concerns about being left unattended have a significant positive effect, while satisfaction with social pension insurance subsidies has a significant negative effect.