Research on the Optimization of Resource Allocation for Rural Elderly Care Security Driven by Digital Intelligence in China

Authors

  • Rui Wu School of Economics and Management, Hubei University of Science and Technology, Xianning, 437100, China
  • Jingyun Li Hubei University of Science and Technology Library, Xianning, 437100, China
  • Jingxin Huang School of Economics and Management, Hubei University of Science and Technology, Xianning, 437100, China
  • Kexin Tang School of Economics and Management, Hubei University of Science and Technology, Xianning, 437100, China

Abstract

With the aging process and accelerated urbanization in China,the issue of elderly care in rural areas has become increasingly prominent.In this context,this article explores the operational mechanism and effective path of digital intelligence technology in optimizing the allocation of rural elderly care security resources in China.Firstly,this article analyzes the current situation of resource allocation for rural elderly care security in China and finds that the development of public elderly care services in rural areas faces prominent difficulties in the allocation of elderly care financial funds,elderly care service resources,and elderly care talent resources;Subsequently, based on the exposition of relevant theories and the analysis of the mechanism of digital intelligence driving the allocation of rural elderly care security resources in China,an OLS model was constructed.Multiple regression analysis was conducted using data obtained from a questionnaire survey.The empirical analysis results showed that the satisfaction of rural elderly people with the government's provision of smart elderly care services had a significant impact on their willingness to participate in smart elderly care and their demand for smart elderly care; Finally,based on empirical analysis conclusions,feasible ideas and relevant policy recommendations were proposed to effectively address the current development dilemma of public elderly care services in rural areas of China.

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Published

2025-08-19

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Articles