A Comprehensive Review of China's Smart Elderly Care Policies
Mingyu Jiang
1,*
and Zhuyan Jin
2
1
School of Health Sciences, Fujian Medical University, Fuzhou, Fujian, 350122, China
2
School of Social Development, Tianjin University of Technology, Tianjin, 300110, China
Keywords: Smart Elderly Care, Chinese Smart Elderly Care, Elderly Care Policies.
Abstract: This study examines the evolution, implementation effectiveness, and optimization pathways of China's smart
elderly care policy framework from a policy analysis perspective. The findings reveal that China's smart
elderly care policies have undergone a paradigm shift from technology-driven to demand-oriented approaches,
forming a governance structure dominated by environmental and supply-side policy instruments. However,
structural imbalances in policy tools (demand-side tools account for only 12.4%) and regional disparities
(eastern regions' fiscal investments are 2.3 times those of western regions) constrain the maximization of
policy efficacy. International comparative studies highlight the significant positive externalities of smart
elderly care in promoting digital inclusion and social integration, yet challenges such as insufficient age-
friendly adaptations and fragmented service systems remain un-resolved. This review argues that constructing
a demand-responsive policy tool portfolio, im-proving regional coordination mechanisms, and strengthening
the synergy among technology, services, and institutional innovation are critical pathways for advancing of
the smart elderly care.
1 INTRODUCTION
With the accelerating aging of Chinese society,
elderly care has become a critical issue concerning
national welfare and livelihoods. According to the
National Bureau of Statistics, by the end of 2022,
China's population aged 60 and above had reached
280 million, accounting for 19.8% of the total
population, with those aged 65 and above comprising
14.9%, reflecting deepening aging trends (National
Bureau of Statistics, 2023). Concurrently, the aging
population exhibits pronounced trends of advanced
age, empty-nesting, and disability, posing significant
challenges to traditional family and social elderly care
models. Against the backdrop of rapid urbanization
and shrinking family structures, conventional elderly
care resources struggle to meet the growing demand
for diversified and personalized services.
Furthermore, long-standing issues such as uneven
resource allocation, inconsistent service quality, and
a shortage of professional caregivers exacerbate the
supply-demand imbalance in elderly care.
In this context, smart elderly a novel model
leveraging modern information technologies, has
*
Corresponding author
emerged as a pivotal solution. By integrating
technologies such as the Internet of Things big data,
cloud computing, and artificial intelligence (AI),
smart elderly care enables intelligent, precise, and
efficient services, offering multi-tiered and
comprehensive support, including health monitoring,
telemedicine, smart home systems, and emergency
assistance. In recent years, the Chinese government
has prioritized the development of smart elderly care,
issuing a series of policy documents such as the Smart
Health and Elderly Care Industry Development
Action Plan (2017–2020) (Ministry of Civil Affairs,
2017), the Guidelines on Promoting the Development
of Elderly Care Services (General Office of the State
Council, 2019), and the 14th Five-Year Plan for
National Aging Development and Elderly Care
Service Systems (State Council, 2022). These
policies provide a top-level design for smart elderly
care, outlining specific measures in technology
application, service innovation, funding,
standardization, and talent development, reflecting
the nation's systematic planning and strategic
deployment to address elderly care challenges.
Therefore, selecting China's smart elderly care
policies as the research focus holds significant
320
Jiang, M. and Jin, Z.
A Comprehensive Review of China’s Smart Elderly Care Policies.
DOI: 10.5220/0014373900004859
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 1st International Conference on Politics, Law, and Social Science (ICPLSS 2025), pages 320-324
ISBN: 978-989-758-785-6
Proceedings Copyright © 2026 by SCITEPRESS Science and Technology Publications, Lda.
practical relevance. First, these policies represent a
crucial response to the challenges of an aging society,
with their successful implementation directly
impacting the quality of life for millions of elderly
citizens and social stability. Second, the advancement
of smart elderly care policies involves multi-sector
collaboration and interdisciplinary integration,
making their design, implementation, and evaluation
highly valuable for research. Additionally, rapid
technological advancements and ongoing policy
refinements present new challenges, such as age-
friendly technology adaptation, data security, privacy
protection, and regional inequities, necessitating
systematic research to propose solutions.
This review aims to systematically analyze
China's smart elderly care policies, tracing their
developmental trajectory, core content, and
implementation outcomes, while identifying existing
challenges and offering recommendations for future
policy optimization mark. The study not only
enhances understanding of the current state of smart
elderly care policies but also provides valuable
insights for researchers, policymakers, and elderly
care service providers.
2 RESEARCH METHODS AND
PROCESS
Against the backdrop of an aging society, this study
focused on keywords such as "smart elderly care,"
"healthy aging industry," "age-friendly design," and
"smart health," supplemented by English terms like
"smart elderly care" and "elderly-care policy."
Databases including CNKI, CSSCI, Wanfang Data,
VIP, and Web of Science were utilized for literature
retrieval, with advanced search functions employed to
refine the selection process. The initial search yielded
approximately 5,000 journal articles, which were
narrowed down to 1,200 core papers after preliminary
screening. Further refinement using terms like "aging
society" and "social policy" resulted in 150 highly
relevant publications. The retained literature
primarily addressed smart elderly care from the
perspectives of policy instrument theory, regional
development, technological advancements, and
policy reviews, aiming to explore the policy practices
and technological pathways of smart elderly care
from multiple dimensions.
3 RESEARCH FINDINGS
3.1 Evolutionary Analysis of
Development Pathways
China's smart elderly care policies have undergone a
transformation from being "technology-driven" to
"demand-oriented." In 2013, the State Council first
introduced the concept of "smart elderly care" in the
Opinions on Accelerating the Development of the
Elderly Care Service Industry, which proposed
"developing home-based network information
services and encouraging local governments,
enterprises, and institutions to leverage internet and
IoT technologies to innovate home-based elderly care
models." The 2017 Action Plan established a tripartite
framework integrating "products, platforms, and
services," while the 2021 Action Plan further
emphasized technological convergence and scenario-
based innovation.
The concept of smart elderly care comprises two
key components: (1) the application of emerging
information technologies and (2) the integration of
multi-stakeholder resources (Huang, 2020). The
former primarily enhances traditional elderly care
systems by improving intelligence and
personalization, whereas the latter requires broader
socio-economic resources, including enterprise
participation and urban planning. The increasing
frequency of smart elderly care policies in
government documents reflects its evolution into a
nationally coordinated, locally supported initiative
(Zhang & Sunn, 2023). However, China's policy tools
for smart elderly care remain imbalanced, with
environmental (44.0%) and supply-side (43.6%) tools
dominating, while demand-side tools are
underutilized (12.4%). This disparity indicates a
stronger focus on industrial push and environmental
optimization, yet the lack of demand-side tools
weakens market pull, hindering holistic industry
development (Huang, 2020).
3.2 Development Status Under
Regional Imbalances
Supported by digital technologies and national
policies, China's provinces and cities have actively
explored smart elderly care models. By January 2022,
the country had established 634 pilot projects (Wu,
2022). However, regional disparities have led to
uneven implementation. Fiscal data from 2022 reveal
that per capita expenditure in eastern regions was 2.3
times that of western regions, directly affecting smart
A Comprehensive Review of China’s Smart Elderly Care Policies
321
device procurement and maintenance capabilities. In
East China, Shanghai exemplifies precision-oriented
smart elderly care through its "goal-setting top-
down design environment construction
market development public awareness" model,
leveraging robust digital infrastructure (Gao, 2021).
Zhejiang s Wuzhen pioneered China s first
"Internet +" smart elderly care base in 2015,
integrating individualized care and service interaction
into a comprehensive system (Wang, 2020).
For elderly care enterprises, localized tax
incentives have not consistently translated into R&D
investments, and the relationship between
government subsidies, R&D inputs, and corporate
performance remains ambiguous (Zhang, 2024).
Rural areas face more acute challenges, with
underdeveloped elderly care services and high costs
of smart products, necessitating long-term efforts to
bridge the urban-rural gap (Han, 2021; Dai et al.,
2021).
3.3 Insights from International
Practices
Globally, smart elderly care concepts such as "smart
communities" originated in Europe and the U.S. and
rapidly gained traction. The UK’s Life Trust Fund
first proposed smart elderly care, embedding modern
technologies into its "community care" model, driven
by elderly needs, government subsidies, and
regulatory frameworks (Lemlouma, 2013).
Singapore’s "Smart Nation Initiative" integrates
smart eldercare into sustainable urban development
(Woods, 2020). While China’s 2021 Action Plan
mirrors these approaches—promoting a "90-7-3"
model (90% home-based, 7% community-based, 3%
institutional care)—its vast aging population and
diverse demands necessitate localized adaptations,
particularly in scalable smart care technologies to
alleviate family burdens.
3.4 Implicit Social Value of Smart
Elderly Care
3.4.1 Bridging the Digital Divide and
Fostering Sustainable Economic
Growth
The Action Plan advocates for age-friendly smart
products, digital interface adaptations (e.g., "elderly
mode," voice interaction), and literacy programs
(e.g., "Silver Age Digital Literacy Initiative") to
enhance elderly inclusion in the digital society.
Singapore’s "Seniors Go Digital" program, featuring
tiered training and "digital ambassador" mentorship,
has upskilled 210,000 seniors (Zhang, 2024). Such
measures not only create economic opportunities but
also prioritize elderly-centric design, embedding age-
friendly principles into policymaking and product
development (Meng et al., 2018).
3.4.2 Mitigating Loneliness and Enhancing
Intergenerational Harmony
As a social medium, the internet expands elderly
social networks, mitigates isolation, and fosters
community engagement (Cotten, 2013). Digital
empowerment improves psychological well-being
and family ties (Tseng W.S.W. et al., 2019), while
offline support systems amplify life satisfaction (Wu
Lin, 2020). Policy-driven innovations in remote
monitoring and smart care (Beard, 2010) further
reduce familial caregiving burdens, promoting
intergenerational harmony (Quanzel, 2020).
4 DISCUSSION
4.1 Key Contributions of the Study
Existing research has systematically delineated the
evolutionary trajectory of China's smart elderly care
policies, including the conceptual inception in 2013,
the establishment of the "product-platform-service"
framework in 2017, and the deepened technological
integration in the 2021 Action Plan. These studies
elucidate the policy's shift from a "technology-
driven" to a "demand-oriented" paradigm, offering
theoretical foundations for top-level design. Through
policy instrument analysis (e.g., coercive vs.
incentive-based tools), regional needs and gaps are
clearly identified, enabling targeted policy
recommendations. Pilot programs and regional
economic development have catalyzed localized
advancements in smart elderly care, serving as
precursors to nationwide implementation.
Additionally, comparative studies of developed and
welfare-state models (e.g., the UK and Singapore)
provide valuable methodological insights.
4.2 Limitations
Current research predominantly relies on traditional
public policy theories, functioning as ancillary to
broader policy agendas, and lacks indigenous
theoretical frameworks tailored to the complexities of
smart elderly care. For instance, the interplay among
ICPLSS 2025 - International Conference on Politics, Law, and Social Science
322
"technology-institution-culture" remains
underexplored, with no theory yet proposed to align
with China's unique aging demographics. Moreover,
most literature employs cross-sectional analyses (e.g.,
policy text quantification, regional comparisons),
neglecting longitudinal assessments of policy
efficacy—such as the sustained performance of
demonstration projects or dynamic changes in elderly
digital literacy. This gap obscures the mechanisms
underlying policy attenuation or enhancement.
5 CONCLUSION
This study conducts a systematic review and analysis
of China's smart elderly care policies, delineating
their evolutionary trajectory, core components,
implementation outcomes, and existing challenges.
The findings reveal that China's smart elderly care
policies have undergone a paradigm shift from being
"technology-driven" to "demand-oriented,"
progressively establishing a tripartite framework
integrating "products, platforms, and services." A
series of policy documents, including the Action Plan
for the Development of Smart Health and Elderly
Care Industries, have articulated specific measures on
technological application, service model innovation,
financial support, standardization, and talent
development.
Despite notable achievements in advancing the
smart elderly care industry, several critical issues
persist: regional disparities, insufficient utilization of
demand-side policy tools, and lagging development
in rural areas. Regional imbalance stands out as a
primary challenge in policy implementation. While
eastern regions, benefiting from stronger economic
capabilities and advanced digital infrastructure, lead
in smart elderly care adoption, central and western
regions face significant hurdles due to inadequate
fiscal investment and technological deficiencies.
Moreover, the scarcity of demand-side policy tools
has resulted in insufficient market traction, hindering
comprehensive industry growth. The development of
smart elderly care in rural areas remains an arduous
task, necessitating policy (targeted interventions) and
technological innovations to address resource
shortages and service inadequacies.
International experiences offer valuable insights
for China's smart elderly care development. Countries
such as the United Kingdom and Singapore have
successfully integrated modern information
technologies into elderly care services through
community-based smart care initiatives and smart
city programs, thereby enhancing the quality of life
and social participation of older adults. These cases
underscore that smart elderly care is not merely a
technological issue but also a societal one, requiring
collaborative efforts among governments,
enterprises, and civil society.In conclusion, the
evolution and development of China's smart elderly
care policies demonstrate the nation's strategic
planning and innovative approaches in addressing the
challenges posed by an aging society. Future policy
optimization should focus on: (1) enhancing regional
coordinated development, (2) improving demand-
side policy instruments, (3) promoting age-friendly
technological innovation, and (4) drawing upon
international best practices, with the aim of achieving
comprehensive development and widespread
application of smart elderly care. Through policy
refinement and technological advancement, smart
elderly care is expected to play an increasingly
significant role in tackling aging-related challenges,
improving quality of life for older adults, and
fostering intergenerational harmony, thereby
providing a solid foundation for realizing the national
objective of "ensuring that the elderly are properly
cared for, well-supported, and able to enjoy their later
years.
AUTHORS CONTRIBUTION
All the authors contributed equally and their names
were listed in alphabetical order.
REFERENCES
Beard, J. 2010. Innovative approaches to dealing with
population ageing. Gerontechnology 9(2):64.
Cotten, R., Anderson, W.A., McCullough, B.M. 2013.
Impact of Internet Use on Loneliness and Contact with
Others among Older Adults: Cross-Sectional Analysis.
Journal of Medical Internet Research 15(2): e39.
Dai, W., Huang, Q. 2021. Crossing the 3.0 era of "smart
elderly care" in Hangzhou. Hangzhou (24):6-9.
Gao, P., Yang, C. 2021. The Logic and Practice of Precision
Supply of Smart Elderly: Research from Shanghai.
Economic Reform (05):187-193.
General Office of the State Council. 2019. Opinions of the
General Office of the State Council on Promoting the
Development of Senior Care Services.
Han, Z. 2021. Difficulties of rural left-behind elderly in
rural areas under the vision of rural revitalization
strategy and strategies for solving them. Journal of
Party School of Shijiazhuang Municipal Committee of
the Communist Party of China 23(2):43-48.
A Comprehensive Review of China’s Smart Elderly Care Policies
323
Huang, J. 2020. A Comparative Study of Smart Elderly
Policies in the Yangtze River Delta Region of China --
A Policy Econometric Analysis Based on Subject Goal
Tool. Journal of Information Resources Management
10(6):122-134.
Huang, J., Zhang, X. 2020. Policy Research on China's
Smart Elderly Industry-Based on Policy Tools and
Technology Roadmap Model. China Science and
Technology Forum (1):69-79.
Lemluomat, Laborie, S., Roose, P. 2013. Toward a context
aware and automatic evaluation of elderly dependency
in smart homes and cities. World of Wireless, Mobile
and Multimedia Networks (WoWMoM):1-6.
Meng, Q., Liang, F. 2018. Reality Reflection and
Institutional Improvement of Beijing-Tianjin-Hebei
Ecological Environment Cooperative Governance.
Hebei Law 36(2):25-36.
Ministry of Civil Affairs of the People's Republic of China.
2017. Circular of the Three Ministries on the Issuance
of the Action Plan for the Development of the
Intelligent Healthy Pension Industry (2017-2020).
National Bureau of Statistics, People's Republic of China.
2023. 2022 National Economic and Social
Development Statistics Bulletin.
Shen, Q., Li, L., Cai, Y. 2024. From exploring the industrial
layout to perfecting the service system: the evolution of
China's smart old-age policy and the exploration of
problems. Social Policy Research (03):48-61+133.
State Council. 2022. Circular of the State Council on the
Issuance of the 14th Five-Year Plan for the
Development of the National Elderly Career and
Elderly Service System.
Tseng, W.S.W., Hsu, C.W. 2019. A smart, caring,
interactive chair designed for improving emotional
support and parent-child interactions to promote
sustainable relationships between elderly and other
family members. Sustainability 11(4):961.
Wang, C., Li, D., Zhou, Y. 2023. Community Wisdom
Elderly Service Provision-Responsibility Network,
Reality Constraints and Mechanism Construction.
Population and Economy (1):120-138.
Wang, X., Wang, W. 2020. Learning from the experience
of "Internet+" home care service in Wuzhen, Zhejiang.
Anhui Agricultural Science Bulletin 26(22):195-197.
Woods, O. 2020. Subverting the logics of "smartness" in
Singapore: Smart eldercare and parallel regimes of
sustainability. Sustainable Cities and Society
53:101940.
Wu, L., Zhang, L. 2022. Layers and functions of digital
technology to alleviate mental loneliness of the elderly.
Journal of Central China Normal University
(Humanities and Social Sciences Edition) 61(1):182-
188.
Wu, Q. 2022. Analysis of the status quo, problems and
countermeasures of the standardization work of smart
pension. China Standardization (07):152-155.
Zhang, L. 2024. Exploring digital ageing 2.0 in Shanghai -
building a particulate society with parallel old and new
media. Intelligent Society Research 3(06):64-87.
Zhang, L., Sun, Q. 2023. Core Driving Logic and Policy
Implications of China's Smart Elderly Policy - A Study
of Policy Texts Based on Rooted Theory. Journal of
Hefei University of Technology (Social Science
Edition) 37(6):77-85.
Zhang, Q., Li, M., Wu, Y. 2020. Smart home for elderly
care: development and challenges in China. BMC
geriatrics 20:1-8.
Zhang, X., Zhao, Y. 2024. Research on the Impact of
Government Subsidy and R&D Investment on the
Performance of Smart Elderly Enterprises. Science and
Economy 37(4):71-75.
ICPLSS 2025 - International Conference on Politics, Law, and Social Science
324