Natural disaster and political trust: A natural experiment study of the impact of the Wenchuan earthquake

2019 ◽  
Vol 6 (1) ◽  
pp. 140-165
Author(s):  
Yu You ◽  
Yifan Huang ◽  
Yuyi Zhuang

How do natural disasters impact political trust in contemporary China and what is the causal mechanism? Existing literature indicates that the severity of disaster, government relief effort and information dissemination are three key factors influencing people’s political trust in the context of acute natural disasters. This study uses the Wenchuan earthquake as a natural experiment and focuses specifically on the survey data collected right before and after the earthquake. It finds that primarily due to the ‘rally round the flag’ effect and extensive media coverage, public trust in government officials at all levels rose significantly after the earthquake. During the crisis, state-run media played a vital intermediate role. The more a citizen was exposed to the official media coverage, the more likely his/her political trust was to increase. However, the division of work in disaster relief among different levels of government resulted in differences in the level of increase in trust. As local-level governments are often directly responsible for the rescue and post-earthquake relief, they gained the highest increase in political trust, while state-level officials gained the least. The short-run upsurge in political trust receded as time went by. Government mobilization and media coverage are core contributing factors to the increase in political trust during the post-disaster period. Nevertheless, the key to consolidating political legitimacy lies in long-term efforts to build good and effective governance.

PLoS ONE ◽  
2009 ◽  
Vol 4 (12) ◽  
pp. e8200 ◽  
Author(s):  
Cong E. Tan ◽  
Hong Jun Li ◽  
Xian Geng Zhang ◽  
Hui Zhang ◽  
Pei Yu Han ◽  
...  

2014 ◽  
Vol 915-916 ◽  
pp. 53-57
Author(s):  
Xu Dong Hu ◽  
Yu Song

The impact of certain extreme events on the construction index is of greatly importance which could be viewed as a huge turning to the index. In the paper, the Wenchuan Earthquake of China would be chosen as the extreme event and an EMD-based (Empirical Mode Decomposition) analysis approach would be used to test the earthquake’s impact. In the proposed method, a t-test is necessary to prove the significant level which could say the earthquake did have huge influence on the change of the construction index (399235.SZ) measured in Shenzhen stock market. Then the time series would be decomposed into six different modes and one residue which represent different turnings with different fluctuations and an average trend. Different fluctuations are caused by different factors but there is only one or several dominant modes can reflect the impact caused by certain extreme event which is the Wenchuan Earthquake of China in this study. Through a step-by-step analysis based on the EMD-based analysis approach, a simple solution would be obtained to estimate the huge impact caused by the Wenchuan Earthquake on the construction index which we name an EMD-based event analysis method.


2021 ◽  
Vol 49 (3) ◽  
pp. 435-463
Author(s):  
Yu Shi ◽  
Jingran Sun

The purpose of this study is to examine the impact of natural disasters on emergency and disaster relief service (EDRS) expenditure in the governmental funds for sixty-six counties in the state of Florida between 2009 and 2013. Specifically, it will explore whether the fiscal responses of local governments in these fiscal accounts are spatially dependent by using the spatial Durbin model. It finds that EDRS expenditures in the general fund and in the special revenue fund of one county are influenced by the levels of damage in neighboring counties. This study also finds a spillover effect of intergovernmental revenues from state and federal governments on these EDRS expenditures in fiscal accounts. These results suggest that the provision of public goods (such as disaster relief activities) may generate spatial spillover at the local level in the context of US federalism. Moreover, this study highlights the importance of accounting for spatial factors in the study with respect to local jurisdictions’ fiscal reactions to natural disasters.


2020 ◽  
Vol 42 ◽  
pp. 58-66 ◽  
Author(s):  
Li Huang ◽  
Xin Yin ◽  
Yang Yang ◽  
Mingzhi Luo ◽  
Songshan (Sam) Huang

Sign in / Sign up

Export Citation Format

Share Document