ArticleInternational journal of environmental research and public health2021
Strategic Analysis of Participants in the Provision of Elderly Care Services-An Evolutionary Game Perspective.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A computational grounded theory based analysis of research on China's old-age social welfare system.Frontiers in public health · 2025Pooled it
- Article
- An evolutionary game-based simulation study of a multi-agent governance system for smart senior care services in China.BMC geriatrics · 2023Article
- Evolutionary Game Analysis of Behavior Strategies of Multiple Stakeholders in an Elderly Care Service System.International journal of environmental research and public health · 2023Article
- A Regulatory Game Analysis of Smart Aging Platforms Considering Privacy Protection.International journal of environmental research and public health · 2022Article
- Optimal Subsidy Support for the Provision of Elderly Care Services in China Based on the Evolutionary Game Analysis.International journal of environmental research and public health · 2022Article
- Evolutionary game analysis of community elderly care service regulation in the context of "Internet +".Frontiers in public health · 2022Article
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4 authors.
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Abstract
Population aging poses challenges to the immature elderly care service system in many countries. The strategic behaviors of different participants in the provision of elderly care services in a long-term and dynamic situation have not been well studied. In this paper, an evolutionary game model is developed to analyze the strategic behaviors of two types of participants-the government sectors and the private sectors in provision of elderly care services. Firstly, eight scenarios are analyzed, and the evolutionary process and stable strategies are identified. Then, the behavioral strategies of the two types of participants under demand disturbance and dynamic subsidy strategy are analyzed. Simulation experiments are conducted to explore the influence of different initial conditions and parameter changes on the evolutionary process and results. The obtained observations are not only conducive to a systematic understanding of the long-term dynamic provision of elderly care services but also to the policymaking of the government.
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