Investigating the Influencing Factors of the Purchase Intention of the Continuing Care Retirement Community: A Case Study of Shenzhen

Abstract

China officially entered the aging society in 2000, witnessing a rapid surge in demand for senior care services. In response, the real estate industry introduced the concept of Continuing Care Retirement Communities (CCRCs). The relationship between this model and complex risks in urban security resilience encompasses various factors, including filial care, demand for senior care, and urban sustainable development. The strategic layout and planning of CCRC enhance the security resilience of urban operational systems in the face of intricate senior care risks. However, the development and operation of CCRCs have encountered the challenge of sluggish project progress, primarily due to a lack of robust purchase intention. This study investigates the factors influencing the purchase intention of CCRCs in mainland China, using the Theory of Planned Behavior (TPB) as the foundational theoretical model. Additionally, three contextual constructs (economic cost, product performance, and external stimuli) were introduced to form the initial model. Based on the initial model, six factors were identified and nine hypotheses were proposed. A questionnaire survey was conducted to collect data, and Structural Equation Modeling (SEM) analysis was employed to test the proposed hypotheses. The results indicate that consumers’ purchase intention of CCRCs is primarily influenced by product performance and subjective norms, followed by economic cost. At the same time, external stimuli have a significant indirect effect on it.

Publication DOI: https://doi.org/10.3390/su16052201
Divisions: College of Engineering & Physical Sciences > Smart and Sustainable Manufacturing
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
Funding Information: This research was funded by the National Natural Science Foundation of China, grant number 72371171; the National Natural Science Foundation of China, grant number 72001148; the Humanities and Social Science Fund of Ministry of Education of China, project
Additional Information: Copyright © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords: continuing care retirement community,purchase intention,influencing factors,structural equation modeling
Publication ISSN: 2071-1050
Data Access Statement: Data is contained within the article.
Last Modified: 09 Dec 2024 09:11
Date Deposited: 15 Mar 2024 18:07
Full Text Link:
Related URLs: https://www.mdp ... -1050/16/5/2201 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2024-03-06
Published Online Date: 2024-03-06
Accepted Date: 2024-02-26
Authors: Li, Shenghan
Huang, Jun
Lu, Chen
Wu, Zezhou
Antwi-Afari, Maxwell Fordjour (ORCID Profile 0000-0002-6812-7839)

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