Study on the Changes of Industrial Structure in Sichuan Province before and after the “5.12 Wenchuan Earthquake”

On the 10th anniversary of the “5.12 Wenchuan Earthquake” disaster, what changes have occurred in the industrial structure of Sichuan Province? It is an important topic for government, industry and the public. This paper analyzed the impact of Wenchuan earthquake on various industries in Sichuan Pro...

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Bibliographic Details
Main Authors: Dongdong Zhu, Xianhua Wu, Peipei Xue
Format: Article
Language:English
Published: Society for Risk Analysis - China 2019-04-01
Series:Journal of Risk Analysis and Crisis Response (JRACR)
Subjects:
Online Access:https://www.atlantis-press.com/article/125905744/view
Description
Summary:On the 10th anniversary of the “5.12 Wenchuan Earthquake” disaster, what changes have occurred in the industrial structure of Sichuan Province? It is an important topic for government, industry and the public. This paper analyzed the impact of Wenchuan earthquake on various industries in Sichuan Province by using the input-output table, deviation share analysis and structural decomposition. The results show that: (1) the growth rate of various industries is higher than the national average. (2) The output induced by final demand in the region accounts for a large proportion of the total output, and the output induced by the export demand accounts for a relatively small proportion. Among them, the technical coefficient and the final demand coefficient have a greater impact on the regional final demand-induced output, and the export coefficient significantly affects the export-induced output. (3) In the mid-disaster stage, the purchasing power coefficient promotes the increase of output of the primary industry and most of the secondary industries. The final demand coefficient promotes the increase of output of the secondary industry, and the technical coefficient contributes greatly to the increase of output of the tertiary industry. (4) In the post-disaster period, the purchasing power coefficient and technical coefficient promoted the growth of the secondary industry, but the impact on the primary industry was not significant; the final demand coefficient promoted the growth of the tertiary industry, and the technical coefficient was reversed. Finally, the corresponding policy recommendations were put forward. This paper enriches the study of disaster economics and provides an empirical reference for emergency and aid construction after the disaster.
ISSN:2210-8505