• DocumentCode
    3410880
  • Title

    Grey incidence analysis between energy consumption structure and Chinese GDP growth

  • Author

    Wang, Limin

  • Author_Institution
    Coll. of Econ. & Manage., Zhongyuan Univ. of Technol., Zhengzhou, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    228
  • Lastpage
    232
  • Abstract
    This paper applies grey incidence analysis to study the relationship between energy consumption structure and GDP growth during the ¿the ninth five-year plan¿ and ¿the tenth five-year plan¿ in China, and uses GM(1,1) model to predict the total energy consumption in the future. The result indicates that the order is coal, crude oil, natural gas, hydro-power, nuclear power and wind power in turn at present, and coal is the most important energy influencing the economic development. The energy consumption and GDP have close relationship during ¿the tenth five-year plan¿. In the future, Chinese total energy consumption will maintain a steady growth and reach 3627.10 million tons SCE in 2010.
  • Keywords
    economics; energy consumption; grey systems; Chinese GDP growth; economic development; energy consumption structure; grey incidence analysis; Economic forecasting; Economic indicators; Energy consumption; Fuel economy; Geometry; Intelligent structures; Intelligent systems; Petroleum; Power generation economics; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408316
  • Filename
    5408316