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Strategic Analysis of Participants in the Provision of Elderly Care Services—An Evolutionary Game Perspective

Author

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  • Jiahuan He

    (School of Information Science and Engineering, Northeastern University, Shenyang 110004, China)

  • Xinggang Luo

    (School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
    School of Management, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Zhongliang Zhang

    (School of Management, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Yang Yu

    (School of Information Science and Engineering, Northeastern University, Shenyang 110004, China)

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.

Suggested Citation

  • Jiahuan He & Xinggang Luo & Zhongliang Zhang & Yang Yu, 2021. "Strategic Analysis of Participants in the Provision of Elderly Care Services—An Evolutionary Game Perspective," IJERPH, MDPI, vol. 18(16), pages 1-27, August.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:16:p:8595-:d:614395
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    as
    1. Guang Zhu & Hu Liu & Mining Feng, 2018. "An Evolutionary Game-Theoretic Approach for Assessing Privacy Protection in mHealth Systems," IJERPH, MDPI, vol. 15(10), pages 1-27, October.
    2. Brekke, Kurt R. & Siciliani, Luigi & Straume, Odd Rune, 2012. "Quality competition with profit constraints," Journal of Economic Behavior & Organization, Elsevier, vol. 84(2), pages 642-659.
    3. Ji, Ping & Ma, Xin & Li, Gang, 2015. "Developing green purchasing relationships for the manufacturing industry: An evolutionary game theory perspective," International Journal of Production Economics, Elsevier, vol. 166(C), pages 155-162.
    4. Chen, Yi & Ding, Shuai & Zheng, Handong & Zhang, Youtao & Yang, Shanlin, 2018. "Exploring diffusion strategies for mHealth promotion using evolutionary game model," Applied Mathematics and Computation, Elsevier, vol. 336(C), pages 148-161.
    5. Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January.
    6. Chaitanya Gokhale & Arne Traulsen, 2014. "Evolutionary Multiplayer Games," Dynamic Games and Applications, Springer, vol. 4(4), pages 468-488, December.
    7. Gu, Danan & Dupre, Matthew E. & Liu, Guangya, 2007. "Characteristics of the institutionalized and community-residing oldest-old in China," Social Science & Medicine, Elsevier, vol. 64(4), pages 871-883, February.
    8. Xiao, Tiaojun & Chen, Guohua, 2009. "Wholesale pricing and evolutionarily stable strategies of retailers with imperfectly observable objective," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1190-1201, August.
    9. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    10. Lei Gao & Zhen-Yu Zhao, 2018. "System Dynamics Analysis of Evolutionary Game Strategies between the Government and Investors Based on New Energy Power Construction Public-Private-Partnership (PPP) Project," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    11. Tokunaga, Mutsumi & Hashimoto, Hideki, 2013. "Factors affecting the entry of for-profit providers into a price regulated market for formal long-term care services: A case study from Japan," Social Science & Medicine, Elsevier, vol. 76(C), pages 143-149.
    12. Qixiang Wang & Linghui Kong & Jin Li & Bangyi Li & Fan Wang, 2020. "Behavioral Evolutionary Analysis between the Government and Uncertified Recycler in China’s E-Waste Recycling Management," IJERPH, MDPI, vol. 17(19), pages 1-15, October.
    13. Ariaans, Mareike & Linden, Philipp & Wendt, Claus, 2021. "Worlds of long-term care: A typology of OECD countries," Health Policy, Elsevier, vol. 125(5), pages 609-617.
    14. Kuhn, Michael & Nuscheler, Robert, 2011. "Optimal public provision of nursing homes and the role of information," Journal of Health Economics, Elsevier, vol. 30(4), pages 795-810, July.
    15. Chan Y. Han & Brian J. Lunday & Matthew J. Robbins, 2016. "A Game Theoretic Model for the Optimal Location of Integrated Air Defense System Missile Batteries," INFORMS Journal on Computing, INFORMS, vol. 28(3), pages 405-416, August.
    16. Congdong Li & Xiaoli Li & Yu Wang, 2016. "Evolutionary Game Analysis of the Supervision Behavior for Public-Private Partnership Projects with Public Participation," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-8, October.
    17. Xiao, Tiaojun & Yu, Gang, 2006. "Supply chain disruption management and evolutionarily stable strategies of retailers in the quantity-setting duopoly situation with homogeneous goods," European Journal of Operational Research, Elsevier, vol. 173(2), pages 648-668, September.
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