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Understanding the dynamic behaviour of the Australian retirement village industry: a causal loop diagram

    Bo Xia Affiliation
    ; Qing Chen Affiliation
    ; Jerry Walliah Affiliation
    ; Laurie Buys   Affiliation
    ; Martin Skitmore   Affiliation
    ; Connie Susilawati   Affiliation

Abstract

The retirement village industry in Australia has been accommodating an increasing number of residents in recent decades. However, a thorough understanding of the dynamic behaviour of the industry remains largely unknown, which prevents a better prediction of its future growth. This study incorporates system dynamics thinking into residents’ relocation decisions and aims to develop a causal loop diagram to have a full understanding of the complex interactions of variables affecting their relocation, which in turn determines the future growth pattern of the industry. Based on thematic analysis using literature review and interview data, five primary causal loops are identified, including the positive reinforcing loops of word-of-mouth effect and new-supply effect, and three negative balancing loops of the move-out effect, price effect and home-village distance effect. Of these five causal loops, the most dominant ones in determining the system behaviour are the word-of-mouth (reinforcing) and home-village distance (balancing) effects. The causal loop diagram provides a better understanding of the underlying structure of the retirement village industry and will help guide the industry and policy makers in formulating strategies to create a more ageing-friendly living environment for seniors in Australia.

Keyword : retirement villages, older people, systems thinking, system behaviour, causal loop diagram, Australia

How to Cite
Xia, B., Chen, Q., Walliah, J., Buys, L., Skitmore, M., & Susilawati, C. (2021). Understanding the dynamic behaviour of the Australian retirement village industry: a causal loop diagram. International Journal of Strategic Property Management, 25(5), 346–355. https://doi.org/10.3846/ijspm.2021.15063
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Jun 30, 2021
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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