• DocumentCode
    2654881
  • Title

    Multivariate Cointegration Analysis of the Relationship between Electricity Consumption and Economic Growth in China

  • Author

    Xing-ping, ZHANG ; Yu-qin, NIU ; Jian-jun, JI

  • Author_Institution
    North China Electr. Power Univ., Beijing
  • fYear
    2007
  • fDate
    20-22 Aug. 2007
  • Firstpage
    2110
  • Lastpage
    2115
  • Abstract
    Many scholars research deeply the relationship between the electricity consumption and GDP. In my view, the composing factors of GDP impact on the electricity consumption in different ways, so the relationship between the electricity consumption and the composing factors of GDP is studied in the paper. Electricity consumption is chosen as the explained variable, and Fixed asset investment, disposal income per capita, export, and electricity power price are chosen as the explanatory variables, twenty-five years (from 1980 to 2004) real data of all the variables (deducted the influence of inflation) in China are taken as the samples. Based on the unit root test and cointegration test, the model is found to analyze the cointegration relationship between the explained variable and explanatory variables, and it is suitable to forecast the electricity demand in long-term. Owing to the existence of equilibrium mechanism, the error correction model is applied to analyze the degree that the short-term electricity consumption deviate the long-term equilibrium state.
  • Keywords
    economic indicators; error correction; investment; power consumption; power system economics; pricing; China; GDP; disposal income per capita; economic growth; electricity consumption; electricity power price; error correction model; export; fixed asset investment; multivariate cointegration analysis; Conference management; Economic forecasting; Economic indicators; Energy consumption; Energy management; Engineering management; Error correction; Industrial relations; Investments; Testing; cointegration analysis; electricity consumption; error correction model; unit root test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2007. ICMSE 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-7-88358-080-5
  • Electronic_ISBN
    978-7-88358-080-5
  • Type

    conf

  • DOI
    10.1109/ICMSE.2007.4422151
  • Filename
    4422151