Promoting endogenous mutual-aid older adults care in rural areas for healthy aging: an evolutionary game-based analytical framework
Jian Wu, Naiyuan Fu, Jing Yang, Jing Gu

TL;DR
This paper explores how mutual-aid care among older adults in rural China can be supported through an evolutionary game model, identifying key factors that influence sustainable care systems.
Contribution
The novel contribution is the use of an evolutionary game model to analyze and propose strategies for promoting rural older adults' mutual-aid care systems.
Findings
High willingness from social actors can paradoxically reduce government support due to perceived reduced pressure.
Stricter penalties from higher-level governments consistently encourage positive behavior across all stakeholders.
Reputation risks motivate government action but may discourage older adults from participating.
Abstract
Against the backdrop of rapid population aging and widening health vulnerabilities among older adults in rural China, the erosion of traditional family-based care has posed significant challenges to achieving healthy aging and equitable older adults care. Promoting an endogenous mutual-aid older adults care model has therefore become a critical issue in public health and governance. This paper utilizes an evolutionary game model to analyze dynamic interactions among local governments, social organizations, and the rural older adults. MATLAB simulations identify four critical drivers: willingness to participate, reward intensity, punishment severity, and reputation loss. Results reveal a paradox where high willingness from social actors accelerates local governments' tendency toward negative support. This paradox arises because the proactive engagement of social organizations and older…
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Taxonomy
TopicsIntergenerational Family Dynamics and Caregiving · Healthcare Systems and Reforms · Technology Use by Older Adults
