Journal of Risk Analysis and Crisis Response

Volume 9, Issue 1, March 2019, Pages 11 - 19

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

Authors
Dongdong Zhu1, Xianhua Wu2, *, Peipei Xue3
1School of Economics and Management, Southeast University, Nanjing 211189, China
2School of Economics and Management, Shanghai Maritime University, Shanghai 200135, China
3School of Management Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
*Corresponding author: wxhua_77@ nuist.edu.cn
Corresponding Author
Xianhua Wu
Received 16 November 2018, Accepted 5 January 2019, Available Online 29 March 2019.
DOI
https://doi.org/10.2991/jracr.b.190328.002How to use a DOI?
Keywords
Wenchuan earthquake, Input-output table, Shift-Share Method, Structural decomposition method
Abstract

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.

Copyright
© 2019, The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
9 - 1
Pages
11 - 19
Publication Date
2019/03/29
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
https://doi.org/10.2991/jracr.b.190328.002How to use a DOI?
Copyright
© 2019, The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Dongdong Zhu
AU  - Xianhua Wu
AU  - Peipei Xue
PY  - 2019
DA  - 2019/03/29
TI  - Study on the Changes of Industrial Structure in Sichuan Province before and after the “5.12 Wenchuan Earthquake”
JO  - Journal of Risk Analysis and Crisis Response
SP  - 11
EP  - 19
VL  - 9
IS  - 1
SN  - 2210-8505
UR  - https://doi.org/10.2991/jracr.b.190328.002
DO  - https://doi.org/10.2991/jracr.b.190328.002
ID  - Zhu2019
ER  -