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Academic Journal of Business & Management, 2025, 7(10); doi: 10.25236/AJBM.2025.071008.

Research on the Current Situation and Future Paths of Digital-Intelligent Development in Dalian's Elderly Care Industry

Author(s)

Ruoyun Pang

Corresponding Author:
Ruoyun Pang
Affiliation(s)

School of Management, Liaoning University of International Business and Economics, Dalian, Liaoning, China

Abstract

Population aging has become a major challenge for China's social development. Dalian, as an important coastal open city in Northeast China, is facing even more severe aging pressure. According to the latest data from the Seventh National Population Census (the Seventh Census), the population aged 60 and above in Dalian is 1,841,190, accounting for 24.71% of the total population; among this group, the population aged 65 and above is 1,257,193, making up 16.87%. Dalian has far exceeded the internationally recognized standard for a "deeply aging society" (where the population aged 65 and above accounts for 14%), leading to increasingly prominent pressure on the supply of elderly care services. Against this backdrop, digital-intelligent technologies have become a key means to address the imbalance between supply and demand of elderly care resources and improve the quality of elderly care services. Based on field research and policy analysis, this paper systematically sorts out the current characteristics of digital-intelligent development in Dalian's elderly care sector, analyzes the main challenges currently faced, and proposes future development paths by drawing on advanced experiences at home and abroad. It aims to provide theoretical reference and practical guidance for promoting the modernization of Dalian's elderly care service system.

Keywords

Elderly Care Industry, Smart Elderly Care Platforms, Digital Divide, Elderly Care Talent Cultivation

Cite This Paper

Ruoyun Pang. Research on the Current Situation and Future Paths of Digital-Intelligent Development in Dalian's Elderly Care Industry. Academic Journal of Business & Management (2025), Vol. 7, Issue 10: 49-56. https://doi.org/10.25236/AJBM.2025.071008.

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