Article
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Payment Behavioral Response Mechanisms for All-Age Retrofitting of Older Communities: A Study Among Chinese Residents
Version 1
: Received: 1 September 2023 / Approved: 4 September 2023 / Online: 6 September 2023 (09:25:15 CEST)
A peer-reviewed article of this Preprint also exists.
Zhang, Y.; Dong, L. Payment Behavioral Response Mechanisms for All-Age Retrofitting of Older Communities: A Study among Chinese Residents. Behav. Sci. 2023, 13, 925. Zhang, Y.; Dong, L. Payment Behavioral Response Mechanisms for All-Age Retrofitting of Older Communities: A Study among Chinese Residents. Behav. Sci. 2023, 13, 925.
Abstract
Intergenerational integration has given rise to a novel aging paradigm known as all-age communities, which is garnering international attention. In China, the aging population and the implementation of the three-child policy have resulted in increased demand for retirement and childcare services among residents in older neighborhoods. Consequently, there is a pressing need to retrofit these older neighborhoods to accommodate all-age living arrangements given the high demand they generate. Therefore, this study undertakes research interviews with residents and constructs an exploratory theoretical model rooted in established theory. To assess the significance of our model, we employ Smart PLS 3.0 based on 297 empirical data points. Our findings indicate that anxiety has a significant negative effect on payment behavior; objective perception, willingness to pay, and government assistance exert significant positive effects on payment behavior. By comprehensively analyzing the mechanisms underlying residents’ payment behavior, this study provides valuable insights to the government for promoting the aging process within communities and formulating effective transformation policies.
Keywords
older community renovation; all-age retrofitting; anxiety; PLS-SEM; payment behavioral response mechanisms
Subject
Social Sciences, Behavior Sciences
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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