• 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