Science, Technology, Engineering and Mathematics.
Open Access

THE FORMATION MECHANISM OF EMERGENCY RESPONSE CAPACITY IN MAJOR EMERGENCIES AT THE GRASS-ROOTS LEVEL

Download as PDF

Volume 7, Issue 4, Pp 62-71, 2025

DOI: https://doi.org/10.61784/ejst3104

Author(s)

ZiXuan Liu1*, HaoLin Tian2

Affiliation(s)

1Business School, Jishou University, Jishou 416000, Hunan, China.

2School of International Digital Business, Guangzhou Vocational University of Science and Technology, GuangZhou 510925, Guangdong, China.

Corresponding Author

ZiXuan Liu

ABSTRACT

The emergency response capacity of major emergencies at the grass-roots level includes both potential emergency response capacity elements and emergency response capacity realization mechanisms. The emergency response capability realization mechanism is not only the mechanism for potential emergency response capability elements to be transformed into real emergency response capability, but also the environmental conditions and institutional guarantee for the formation of emergency response capability. In the formation process of emergency response capacity for major emergencies at the grassroots level, potential emergency response capacity elements, emergency response capacity realization mechanism and real emergency response capacity elements interact and influence each other to form a complete emergency response capacity. Therefore, this study will start from the analysis of the role of emergency response capacity realization mechanism on the transformation of potential emergency response capacity into real emergency response capacity, and explain the mechanism of emergency response capacity formation in major emergencies at the grassroots level.

KEYWORDS

Grass-roots level; Emergencies; Emergency response capacity; Formation mechanism

CITE THIS PAPER

ZiXuan Liu, HaoLin Tian. The formation mechanism of emergency response capacity in major emergencies at the grass-roots level. Eurasia Journal of Science and Technology. 2025, 7(4): 62-71. DOI: https://doi.org/10.61784/ejst3104.

REFERENCES

[1] Guan X, Li W, Cui N, et al. Construction of an evaluation indicator system for the emergency management capability of major infectious diseases in urban communities. BMC Health Services Research, 2025, 25, 857. https://doi.org/10.1186/s12913-025-12936-x.

[2] Friedrich F, Gehbauer F, Richers U. Optimized resource allocation for emergency response after earthquake disasters. Safety Science, 2000, 35(1-3): 41-57.

[3] Oh Namkyung, Lee, Junghyae. Changing landscape of emergency management research: A systematic review with bibliometric analysis. International Journal of Disaster Risk Reduction, 2020, 49, 101658. https://doi.org/10.1016/j.ijdrr.2020.101658 

[4] Urbina E , Wblshon B. National review of hurricane evaluation plans and policies: a comparison and contrast of state practices. Transportation Research Part A: Policy and Practice, 2003, 37(3): 257-275.

[5] Dehai Liu, Jingfeng Chen, Ruirui Chai, et al. Evolutionary analysis of important public health event-based multi-agent simulation model. International Journal of Innovative Computing Information and Control, 2014, 6(1): 33-43.

[6] Bethany Saxon, Sarah Bauerle Bass, Thomas Wright, Jessie Panick. Ebola and the rhetoric of US newspapers: assessing quality risk communication in public health emergencies. Journal of Risk Reseaech, 2019, 22(10): 1309-1322.

[7] Tom Christensen, Liang Ma. Coordination Structures and Mechanisms for Crisis Management in China:Challenges of Complexity. Public Organization Review: A Global Journal, 2020, 20(2): 19-36.

[8] Pearson C M, Mitroff I I. From crisis prone to crisis prepared: a framework for crisis management. The Executive, 1993, 7(01), 48-59.

[9] Kong F, Sun S. Understanding and Strengthening the Emergency Management and Comprehensive Disaster Reduction in China's Rural Areas: Lessons from Coping with the COVID-19 Epidemic. Sustainability, 2021, 13(7): 3642.

[10] Lee S, Yeo I, Na C. Learning from the past: Distributed cognition and crisis management capabilities for tackling COVD-191. The American Review of Public Administration, 2020, 50(6-7): 729-735.

[11] Comfort L K. Coordination in Rapidly EvolvingDisaster Response Systems the Role of Information. American Behavioral Scientist, 2004, 48(3): 295-313.

[12] Comfort L K. Crisis Management in Hindsight: Cognition, Communication, Coordination and Control. Public Administration Review, 2007, 67(s1): 189-197.

[13] Kettl D F. Contingent Coordination: Practical and Theoretical Puzzles for Homeland Security. American Review of Public Administration, 2003, 33(3): 253-277.

[14] Li S, Xu Z Q, Kang Y Q, et al. Research on the Influence Mechanism of Personal Initiative on Enterprise Emergency Management Ability. Frontiers in Psychology, 2021, 12, 618034.

[15] Sedigheh Meimandi Parizi, Mohammad Taleai, Ayyoob Sharifi. Integrated methods to determine urban physical resilience characteristics and their interactions. Natural Hazards, 2021, (4), 1-30.

[16] Deverell E C. Crisis-induced learning in public sector organizations. A Publication of the Crisis Management Europe Research Program, 2010, (2), 34-36.

[17] Cruddas S. An Introduction to Structural Equation Modelling for Emergency Services and Disaster Research. International Journal of Emergency Services, 2013, 2(2): 131-140. https://doi.org/10.1108/IJES-07-2012-0031.

[18] Asparouhov T, Muthén B. Methodological Advances with Penalized Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal, 2024, 32(4), 688-716. https://doi.org/10.1080/10705511.2024.2425996.

All published work is licensed under a Creative Commons Attribution 4.0 International License. sitemap
Copyright © 2017 - 2025 Science, Technology, Engineering and Mathematics.   All Rights Reserved.