Download pdf
Study on the Construction of Business Models and Sustainable Development of Retirement Communities
- 1 Renmin University Affiliated Middle School Tongzhou Campus, Beijing, China, 101100
* Author to whom correspondence should be addressed.
Abstract
As the global trend of aging intensifies, the eldercare industry has increasingly captured the focus of societal concern. In my country, the burgeoning elderly population has rendered the issue of eldercare increasingly prominent, while simultaneously presenting the eldercare industry with unparalleled opportunities for growth. This paper aims to conduct a comprehensive analysis of the market status of the eldercare industry and to anticipate its future prospects. The primary focus of this study is to examine and analyze the current business model of China’s eldercare industry and to explore strategies for its sustainable development. Utilizing literature review and case study methodologies, the findings reveal that China’s existing eldercare industry model harbors several areas requiring improvement to ensure sustainable progression. It can be concluded that the eldercare industry in China currently grapples with high costs, a shortage of specialized personnel, inconsistent service standards, and uneven resource distribution. To achieve sustainable development, it is imperative to enhance regulation and standardization, drive innovation in business models, elevate service quality, optimize resource allocation, and foster interdisciplinary collaboration.
Keywords
Aging population, eldercare service industry, sustainable development, business model, retirement community
[1]. Fang Wenbin.(2024). The spillover effects of retirement communities continue to heat up.China Bank and Insurance Report, 004.
[2]. Chen Jie.(2023).SWOT analysis and strategic research of the “insurance + retirement community” model.Times Finance(08), 87-89.
[3]. Song Jinkun.(2021). A study on the construction of the business model for S retirement community(Master's thesis, Jilin University). Master https://link.cnki.net/doi/10.27162/d.cnki.gjlin.2021.006924doi:10.27162/d.cnki.gjlin.2021.006924.
[4]. Zhang Tao, Liu Yu.(2022). Construction and innovation path of the business model for smart retirement communities under “Internet of Things + Big Data”. Economic Forum(09), 126-135.
[5]. Hu Xiaomei.(2020). The development space of commercial insurance-based retirement communities in the Chinese eldercare market(Master's thesis, Zhongnan University of Economics and Law). Master https://link.cnki.net/doi/10.27660/d.cnki.gzczu.2020.003055doi:10.27660/d.cnki.gzczu.2020.003055.
[6]. Dai Jin.(2020). A study on the business model of insurance-based retirement communities from a meta-model perspective.Lanzhou Academic Journal(05), 196-208.
[7]. Liang Xinyue, Zhang Xichen.(2019). A study on commercial mixed-use retirement facilities based in communities.Popular Literature and Art(02), 111-112.
Cite this article
Ma,W. (2025).Study on the Construction of Business Models and Sustainable Development of Retirement Communities.Advances in Economics, Management and Political Sciences,162,1-5.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content
About volume
Volume title: Proceedings of the 4th International Conference on Business and Policy Studies
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).