Disaster policy and emergency management reforms in China: From Wenchuan earthquake to Jiuzhaigou earthquake

Hu, Xiangnan; Kapucu, Naim; Shi, Jia; Zhu, Zhongkui

doi:10.1016/j.ijdrr.2020.101964

Cited by 35 publications

(20 citation statements)

References 28 publications

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“…Zhang and Kong (2022) held the same view and proposed that CG can improve the ability of participants to take change actions and improve their adaptability to complex disaster events. Bakkour et al (2015) and Hu et al (2021) studied the case of 2010 mount Merapi uplift in Indonesia and the Wenchuan earthquake in 2008, respectively. They all concluded that large-scale crisis events require better coordination and greater institutional flexibility.…”

Section: Collaborative Governancementioning

confidence: 99%

Evolutionary game analysis for multi‐level collaborative governance under public crisis in China: From a value perception perspective

Chen,

Liu,

Tadikamalla

et al. 2023

Risk Analysis

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In a risk society, the survival and development of humans are facing threats of complex and severe public crisis events. Public participation in collaborative governance (CG) of public crisis events is increasingly recognized as an important direction for the reform of the current and future emergency management system. Previous studies of CG have mainly focused on the macro level and ignored to address micro‐level discussions of the behavioral strategy evolution of stakeholders. From a fresh value perception perspective, this study constructs an evolutionary game model to clarify the evolution mechanism of multi‐level emergency CG. First, the value perception model is built based on Prospect Theory and Mental Accounting to optimize the traditional game matrix. Second, the evolutionary stability is analyzed to solve the system evolution law. Finally, numerical simulation is conducted in the case of Heilongjiang province, a main region of food and energy supply in China. Results showed that (1) the CG game system has a complex evolutionary path; (2) the behavior of game players is affected by perceived incomes and perceived costs; (3) compared with the reference value and the risk aversion coefficient of income accounts, game players are more sensitive to that of cost accounts; (4) enhancing the perceived value of public psychological satisfaction and government reputation is helpful for the long‐term construction of CG. Overall, this study aims to highlight the potential utility of value perception in promoting effective implementations of CG and to provide new insights for the development of CG in China and other countries.

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Section: Collaborative Governancementioning

confidence: 99%

Evolutionary game analysis for multi‐level collaborative governance under public crisis in China: From a value perception perspective

Chen,

Liu,

Tadikamalla

et al. 2023

Risk Analysis

View full text Add to dashboard Cite

show abstract

“…At present, governments around the world have optimized their risk prevention, control, and disposal systems for single emergencies. However, for compound disasters, there is no effective response to solve complex problems, such as disaster chains and compounding risks [ 28 ]. As compared with the previous practices in emergency management, compound disaster emergency management intensifies the scale and expansion of the interactions and cohesion between emergency organizations [ 29 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Evolution Analysis of the Emergency Collaboration Network for Compound Disasters: A Case Study Involving a Public Health Emergency and an Accident Disaster during COVID-19

Liu

Dong

et al. 2022

Healthcare

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Compound disasters are highly complex and can involve different types of disasters. Since the beginning of the COVID-19 pandemic, compound disasters of public health emergencies, accident disasters, and natural hazards have occurred frequently all over the world; therefore, it is important to establish effective compound disaster emergency collaboration networks. Thus, this study examined the 7 March building collapse in Quanzhou City as a case study. This case was a typical compound disaster involving a public health emergency and an accident disaster during COVID-19. Based on the network analysis, the overall response and dynamic characteristics of the emergency collaboration for compound disasters were examined in this study. A compound disaster emergency collaboration network (ECN) was constructed by identifying the interactional relationships between emergency organizations. After applying time slices, the dynamic evolution of network structure, organizational–functional relations, organizational attributes, and cross-organizational relationships were discussed. The research results showed the following: (1) The density and connectivity of the compound disaster ECN first decreased before increasing. Meanwhile, the evolution of the network structure followed a path from decentralized to concentrated and from being uneven to an equilibrium. (2) The characteristics and practices of compound disasters during different periods indicated varied emergency needs for emergency organizations. We found that the formation of emergency tasks not only involved the passive adaptation to match the practice for compound disasters, but also the active choices of emergency organizations when facing compound disasters according to their collective experiences and decisions. (3) The national emergency management departments, the government emergency rescue organizations, and the local governments were the core organizations of the ECN. Public health management departments and social organizations were also required to participate in the ECN to improve the diverse and heterogeneous distribution of resources. (4) With increased demands during a compound disaster emergency, the number of cross-organizational collaborative relationships gradually increased. This study explored compound disaster emergencies from the perspective of network analysis to improve our understanding of the current and developing organizational relationships and practices during a compound disaster event. The dynamic characteristics of compound disasters require efficient adaptation and improvements of the collaborative mechanisms involved during emergencies.

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“…However, it has also been shown that political pressure leads to great institutional and conceptual changes, generating post-disaster, organizational double-loop learning [72]. Especially in our post-disaster political environment, leadership directives and policy texts [73] are transmitted to create a synergy of learning in public organizations. As can be seen, the political pressure increases the uncertainty of local crisis learning with respect to major accidents and influences the direction, scope, and intensity of learning in public organizations.…”

Section: The Moderating Effect Of Political Pressurementioning

confidence: 99%

Learning from Neighbors: The Spatial Spillover Effect of Crisis Learning on Local Government

Tang

Wang

2022

Sustainability

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Accident prevention is an important prerequisite for achieving sustainable development, and effective crisis learning is a necessary path to it. This article focuses on whether local governments in non-accident areas learn from crises in accident areas, that is “learn from the mistakes of neighbors” and “grow in wisdom.” Using panel data from 2006–2017 for 30 provinces in China, our empirical test discovered that there is not a one-to-one relationship between “learning from neighbors” and “growing in wisdom”; it is a U-shaped relationship between the frequency of major accidents and the crisis learning effect of local government. When the occurrence frequency of major accidents is low, the regulatory effect caused by major accidents leads to the effective crisis learning of local governments. However, when major accidents occur frequently and reach a certain threshold, the crisis learning effect will deteriorate due to an excessive deterrent effect. In this non-linear relationship, the impact of political pressure occurs on two fronts, a gentle U-shaped curve and a shift in the inflection point to the left, implying that political pressure plays a dual role in the crisis learning process of local government. Accordingly, local governments should fully seize the window of time to initiate crisis learning with regulatory effects and delegate political authority to supervise local crisis learning with reasonable compliance.

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Disaster policy and emergency management reforms in China: From Wenchuan earthquake to Jiuzhaigou earthquake

Cited by 35 publications

References 28 publications

Evolutionary game analysis for multi‐level collaborative governance under public crisis in China: From a value perception perspective

Evolutionary game analysis for multi‐level collaborative governance under public crisis in China: From a value perception perspective

Dynamic Evolution Analysis of the Emergency Collaboration Network for Compound Disasters: A Case Study Involving a Public Health Emergency and an Accident Disaster during COVID-19

Learning from Neighbors: The Spatial Spillover Effect of Crisis Learning on Local Government

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