Beijing to Raise Nursing-Care Bed Share in Elderly Care Facilities to 73% During 15th Five-Year Plan Period

Deep News
7 hours ago

During the 15th Five-Year Plan period, Beijing will promote an increase in the proportion of nursing-care beds in elderly care institutions to 73%, according to Tong Lizhi, director of the Beijing Municipal Civil Affairs Bureau and deputy director of the Municipal Aging Committee, who spoke at the 2026 Beijing Elderly Care Service Industry Development Si Ji Qing Forum.

Beijing adheres to demand-driven supply and continues to optimize the supply-demand structure of elderly care services, Tong said. In terms of spatial layout, the city coordinates a tiered arrangement across the six central districts, plain new towns, and ecological conservation areas to ease venue constraints in the central urban area. Over the next three years, 30,000 new home-based elderly care beds will be added, and during the 15th Five-Year Plan period, the city plans to develop and certify 60,000 inclusive beds, push the proportion of nursing-care beds in elderly care institutions citywide to 73%, and add special care zones for dementia.

The city will continue to increase the supply of elderly care service institutions close to communities and channel professional care resources down to the grassroots level. In terms of platform empowerment, Beijing is actively exploring a "platform plus elderly care" model, leveraging platform enterprises such as Meituan, JD.com, and Alibaba to integrate online and offline resources around high-frequency scenarios for the elderly. It has launched a "riders plus volunteers" meal delivery pilot for the elderly, is fully implementing "internet plus transparent kitchen" in elderly care institutions, and has taken the lead in bringing "consumer review" style ratings to elderly care services.

In terms of matching supply and demand, Beijing relies on the city's unified comprehensive assessment platform for elderly capabilities to achieve cross-departmental mutual recognition of assessment results and dynamic reviews every six months. It uses big data to draw regional profiles of elderly care demand and builds a closed loop of "demand assessment, resource matching, service delivery, and feedback optimization," ensuring that resources follow the needs of the elderly.

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