Modern Social Science Research

Against the dual background of the full implementation of the rural revitalization strategy and the deepening population aging in rural China, accelerating the digital transformation of rural smart elderly care services is a critical path to address the shortcomings of rural elderly care, optimize the service supply structure, and improve the equalization of elderly care services. Based on the theories of multi-source data fusion and policy instruments, combined with field survey data, this study systematically explores the practical conditions and core dilemmas of the digital transformation of rural smart elderly care services. The research shows that the current digital transformation has been supported by policy, technological popularization and grassroots organizations, but still faces practical problems such as weak digital infrastructure, prominent barriers to cross-departmental data circulation and sharing, insufficient effectiveness of policy tool combination and coordination, low matching degree between service supply and the actual needs of the elderly, and low overall digital literacy of the elderly. Accordingly, this paper proposes optimization paths from five dimensions: infrastructure upgrading, construction of a unified data resource system, optimization of policy tool portfolio, innovation of localized service models, and improvement of digital literacy of the elderly and practitioners, so as to provide theoretical reference and practical guidance for the high-quality development of rural smart elderly care services under the rural revitalization strategy.

Digital rural construction; Rural smart elderly care; Digital transformation; Multi-source data fusion; Policy tools