DocumentCode
2171603
Title
Empirical Analysis of China Price Transmission Mechanism Based on VAR Model with Seasonally Adjusted Data
Author
Du Jun-gang ; Wei Ru-xiang ; Liu Bao-ping
Author_Institution
Dept. of Econ. & Equip. Manage., Naval Univ. of Eng., Wuhan, China
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
Based on the China seasonally adjusted monthly chain price indexes, the VAR model has been used in the research on the transmission mechanism of market price. Empirical results show that MPI, PPI, CPI monthly chain index are not smooth series, but with cointegration relationship in China, and a long-run equilibrium relationship exists among them. Then Granger causality test and impulse response function analysis is applied into the VAR model based on them, and the conclusions are as follows: there is a demand-pull characteristic in China price transmission, and the effect of transmission from CPI to PPI is very obvious, but has two months lag, the transmission from PPI to MPI has the same effect. In addition, the impact of transmission from CPI to PPI is gradually stable after three months, and the stabilization time of transmission from PPI to MPI is four months. And then the market prices have entered a new equilibrium. The conclusion shows that the market price is influenced by demand in current time, the price fluctuations in the consumption area will have an impact and influence on the whole industrial chain price, and the CPI has become the leading indicators in the price fluctuations.
Keywords
economic indicators; market research; pricing; supply and demand; supply chain management; transient response; CPI; China; Granger causality test; MPI; PPI; VAR model; chain price index; demand fluctuation; impulse response function analysis; industrial chain price; market price; price transmission mechanism; Analytical models; Biological system modeling; Data models; Economics; Fluctuations; Indexes; Technological innovation;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5325-2
Electronic_ISBN
978-1-4244-5326-9
Type
conf
DOI
10.1109/ICMSS.2010.5577114
Filename
5577114
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