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
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
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.
We have no bibliographic references for this item. You can help adding them by using 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.