Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6280
PIRA download icon_1.1View/Download Full Text
Title: An ARIMA-intervention analysis model for the financial crisis in China's manufacturing industry
Authors: Chung, RCP
Ip, WH 
Chan, SL
Issue Date: 2009
Source: International journal of engineering business management, 2009, v. 1, no. 1, p. 15-18
Abstract: Triggered by the subprime mortgage crisis in the United States (U.S.), a financial tsunami has spread rapidly around the globe, from the U.S. to Europe and the rest of the world, causing the world economy to enter a recession. China is no exception, and has suffered a sharp reduction in the growth of its export and manufacturing sectors. In this paper, we attempt to model and analyze the impact of financial crisis on the manufacturing industry in China using data collected from March 2005 to November 2008 by the China Statistical Databases of the National Bureau of Statistics of China. The results indicate that China’s manufacturing industry may have to tolerate a significant negative effect caused by the global financial crisis over a period of time, with its gross industrial output value declining continually throughout 2008 and 2009 before reaching a state of equilibrium. The intervention effect is described in this study as temporary but immediate and abrupt. It is found that the ARIMA-Intervention model is more precise at explaining and analyzing the intervention effects of the financial tsunami.
Keywords: Financial crisis
Intervention
ARIMA
Manufacturing industry
China
Publisher: SAGE Publications
Journal: International journal of engineering business management 
EISSN: 1847-9790
DOI: 10.5772/6785
Rights: This work is licensed under the terms of the Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/)
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Chung_ARIMA-Intervention_Financial_China.pdf209.07 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

166
Last Week
2
Last month
Citations as of Apr 14, 2024

Downloads

134
Citations as of Apr 14, 2024

SCOPUSTM   
Citations

21
Last Week
0
Last month
Citations as of Apr 19, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.