从劳动密集型到精准供给型:我国智慧养老服务人才适配机制与路径优化

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Abstract Against the dual backdrop of accelerating population aging in China and rigid constraints on labor supply, the traditional labor-intensive model of elderly care has become unsustainable, and smart elderly care is widely regarded as a key pathway to alleviating supply-demand imbalances. Grounded in demand-preference theory, this study focuses on the core proposition of “enhancing the competency adaptability of smart elderly care talents under labor increment constraints” and constructs a multi-dimensional “disease-service-capability” matching model, through which it investigates the service demand profiles of older adults across heterogeneous health statuses and evaluates the current state of supply-side capabilities. Results indicate that disease type and severity-particularly cardiovascular diseases, cognitive impairment, and endocrine disorders-significantly shape demand structures; the traditional one-size-fits-all model can no longer meet increasingly complex and multi-tiered needs, while smart elderly care faces bottlenecks including competency-structure mismatches and limited proficiency in operating intelligent devices. Consequently, there is an urgent need to build a precision-supply talent adaptation mechanism along five dimensions—multi-actor collaborative training, industry-education integrated curricula, supply dispatching models, job evaluation mechanisms, and market-competition safeguards—to shift elderly care talent development from quantitative expansion to qualitative enhancement. This approach provides theoretical support and practical pathways for establishing a high-quality, precision-oriented smart elderly care system.

Key words： smart elderly care talent adaptation labor-intensive precision supply multi-dimensional needs

Received: 12 January 2026

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	CAO Ke-yan
	FANG Zhi-yu

Cite this article:

CAO Ke-yan,FANG Zhi-yu. From Labor-Intensive to Precision Supply-Oriented: Talent Adaptation Mechanisms and Pathway Optimization for Smart Elderly Care Services in China[J]. , 2026, 43(3): 14-22.

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https://xb.szu.edu.cn/EN/ OR https://xb.szu.edu.cn/EN/Y2026/V43/I3/14

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