IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v121y2025i1d10.1007_s11069-024-06785-w.html
   My bibliography  Save this article

Intergovernmental collaborative governance of emergency response logistics: an evolutionary game study

Author

Listed:
  • Hongmei Shan

    (Xi’an University of Posts and Telecommunications)

  • Yiyi An

    (Xi’an University of Posts and Telecommunications)

  • Haoze Bai

    (Xi’an Shiyou University)

  • Jing Shi

    (University of Cincinnati)

Abstract

Large-scale disasters are characterized by significant risk spreading and cross administrative boundaries of regional governments, and thus intergovernmental collaborative governance of emergency response logistics is of great importance. This paper selects the local government and the external government as game participants and constructs a dynamic evolutionary game model to analyze the evolution process of emergency logistics coordination and the conditions of achieving stability. Multiple factors are considered, which include the coordination cost and benefit, emergency intensity, external synergistic effects, and central government constraints. On this basis, a simulation analysis is carried out to investigate the dynamic evolution trajectory of the game and explore the influence of different parameters on the strategy selection of participants. The results show that: the participant behaviors are not sensitive to changes in emergency intensity, while increasing regional public benefits, reducing emergency logistics cooperation costs and external synergistic effects will increase the willingness of regional governments towards collaborative governance. Meanwhile, the central government constraints can effectively mitigate the imperfect transaction and cost compensation mechanisms for cooperation among regional governments. Intensifying rewarding and punitive measures as well as increasing the coefficient of participation will lead to a rapid evolution of stabilization strategies toward positive cooperation, in which imposition of penalties appears to be more effective than rewarding measures in promoting synergies among regional governments. In brief, this study sheds light on intergovernmental collaborative governance of emergency logistics by developing a much-needed scientific tool and providing a valuable theoretical reference.

Suggested Citation

  • Hongmei Shan & Yiyi An & Haoze Bai & Jing Shi, 2025. "Intergovernmental collaborative governance of emergency response logistics: an evolutionary game study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(1), pages 705-730, January.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:1:d:10.1007_s11069-024-06785-w
    DOI: 10.1007/s11069-024-06785-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-024-06785-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-024-06785-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Levine, David K. & Pesendorfer, Wolfgang, 2007. "The evolution of cooperation through imitation," Games and Economic Behavior, Elsevier, vol. 58(2), pages 293-315, February.
    2. Yi Lu & Chengyan Zhan & Rui Li & Min Su, 2021. "An NGO disaster relief network for small and medium-scale natural hazards in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 2689-2709, April.
    3. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    4. Dian Sun & Lupeng Zhang & Zifeng Su, 2020. "Evacuate or Stay? A Typhoon Evacuation Decision Model in China Based on the Evolutionary Game Theory in Complex Networks," IJERPH, MDPI, vol. 17(3), pages 1-17, January.
    5. Xionghe Qin & Yanming Sun, 2019. "Cross-Regional Comparative Study on Environmental–Economic Efficiency and Driving Forces behind Efficiency Improvement in China: A Multistage Perspective," IJERPH, MDPI, vol. 16(7), pages 1-21, March.
    6. Yao Xiao & Qiao Peng & Wanting Xu, 2021. "Evolutionary Game Analysis of Cross-Regional Coordinated Governance of Major Public Health Emergencies: The Example of the Spread of the COVID-19 Outbreak," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-10, May.
    7. Li Hongyan, 2017. "Evolutionary Game Analysis of Emergency Management of the Middle Route of South-to-North Water Diversion Project," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2777-2789, July.
    8. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    9. Lanying Du & Ling Qian, 2016. "The government’s mobilization strategy following a disaster in the Chinese context: an evolutionary game theory analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1411-1424, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jida Liu & Yanan Guo & Shi An & Chenxi Lian, 2021. "A Study on the Mechanism and Strategy of Cross-Regional Emergency Cooperation for Natural Disasters in China—Based on the Perspective of Evolutionary Game Theory," IJERPH, MDPI, vol. 18(21), pages 1-29, November.
    2. Jida Liu & Changqi Dong & Shi An & Yanan Guo, 2021. "Research on the Natural Hazard Emergency Cooperation Behavior between Governments and Social Organizations Based on the Hybrid Mechanism of Incentive and Linkage in China," IJERPH, MDPI, vol. 18(24), pages 1-27, December.
    3. Chenxi Lian & Jian Wang, 2024. "Multi-actor cooperation for emergency supply support: a simulation of behavior diffusion based on social networks," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(2), pages 1241-1262, January.
    4. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    5. Wu Hu & Fujun Ma & Tianjv Li, 2025. "An Evolutionary Game and Simulation Study of Work Safety Governance and Its Impact on Long-Term Sustainability Under the Supervisory System," Sustainability, MDPI, vol. 17(2), pages 1-28, January.
    6. Shuaishuai Fu & Weida Chen & Junfei Ding, 2023. "The governance of rent‐seeking behavior in carbon asset pledge financing: An evolutionary game perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(5), pages 2856-2868, July.
    7. Fan Chen & Sen Liu & Andrea Appolloni, 2020. "Horizontal Coordination of I-LNGOs in the Humanitarian Supply Chain: An Evolutionary Game Approach," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    8. Ma, Xuan & Yu, Deqing & Wang, Ke, 2024. "Unraveling the intricacies of panic buying: An evolutionary game-theoretic exploration of the evolution and intervention," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    9. Li, Weigang & Liu, Jian, 2023. "Analysis of the evolution of pedestrian crossing based on dynamic penalty mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    10. Huang, Xingjun & Lin, Yun & Lim, Ming K. & Zhou, Fuli & Ding, Rui & Zhang, Zusheng, 2022. "Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public–private partnership cooperation," Energy, Elsevier, vol. 239(PD).
    11. Xinshang You & Shuo Zhao & Yanbo Yang & Dongli Zhang, 2022. "Influence of the Government Department on the Production Capacity Reserve of Emergency Enterprises Based on Multi-Scenario Evolutionary Game," Sustainability, MDPI, vol. 14(23), pages 1-35, November.
    12. Ji, Shou-feng & Zhao, Dan & Luo, Rong-juan, 2019. "Evolutionary game analysis on local governments and manufacturers' behavioral strategies: Impact of phasing out subsidies for new energy vehicles," Energy, Elsevier, vol. 189(C).
    13. Wenxin Su & Xin Gao & Yukun Jiang & Jinrong Li, 2021. "Developing a Construction Safety Standard System to Enhance Safety Supervision Efficiency in China: A Theoretical Simulation of the Evolutionary Game Process," Sustainability, MDPI, vol. 13(23), pages 1-22, December.
    14. Hua Pan & Xin Song & Jianchao Hou & Siyi Tan, 2024. "Evolutionary Game Analysis Between Large Power Consumers and Power Sellers in the Context of Big-Data-Driven Value-Added Services," Sustainability, MDPI, vol. 16(20), pages 1-17, October.
    15. Qianwen Wu & Qiangqiang Wang & Yongwu Dai, 2023. "Analysis of Strategy Selection in Third-Party Governance of Rural Environmental Pollution," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    16. Yanmin Ouyang & Haoran Zhao, 2022. "Evolutionary Game Analysis of Collaborative Prevention and Control for Public Health Emergencies," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    17. Shan, Haiyan & Pi, Wenjie, 2023. "Mitigating panic buying behavior in the epidemic: An evolutionary game perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    18. Xuezhen Xiong, 2022. "The Impact of Environmental Protection Requirements on the Development of Green Animal Husbandry: An Evolutionary Game between Local Governments and Breeding Companies," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    19. Shuai Wang & Yao Li & Junjun Jia, 2022. "How to promote sustainable adoption of residential distributed photovoltaic generation in China? An employment of incentive and punitive policies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(2), pages 1-26, February.
    20. Xingyi Yang & Xiaopei Dai & Zhenyu Liu, 2023. "Retailers’ Audit Strategies for Green Agriculture Based on Dynamic Evolutionary Game," Sustainability, MDPI, vol. 15(4), pages 1-17, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:121:y:2025:i:1:d:10.1007_s11069-024-06785-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.