• DocumentCode
    2216072
  • Title

    Decomposition on Energy Consumption per GDP Based on Factors Substitution

  • Author

    Shi, Yingling ; Pang, Nansheng ; Wang, Liping

  • Author_Institution
    Coll. of Bus. Manage., North China Electr. Power Univ., Beijing
  • Volume
    2
  • fYear
    2008
  • fDate
    19-21 Dec. 2008
  • Firstpage
    90
  • Lastpage
    94
  • Abstract
    By applying factors substitution analysis, energy consumption per GDP is decomposed into the influential portion of three-industrial energy consumption per added value, the influential portion of industrial structure and the influential portion of energy consumption for living per GDP. Taking Guangdong as an example, the paper analyzes the data from 1990 to 2006, the research shows that it is the increase of the secondary industrial energy efficiency that motivate the decrease of energy intensity in Guangdong. However, the change of industrial structure influences the energy intensity, and the energy consumption for living influences a little. Thus, it is critical to keep on optimizing the industrial structure, to support key industries for the improvement of energy-saving technology so that the decrease of energy consumption could be realized in the future.
  • Keywords
    economic indicators; power consumption; power system economics; GDP; Guangdong; energy consumption; energy-saving technology; factors substitution analysis; Analysis of variance; Economic indicators; Educational institutions; Energy consumption; Energy efficiency; Energy measurement; Industrial engineering; Information management; Innovation management; Power generation economics; decomposition on energy consumption; factors substitution; industrial structure; influential portion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering, 2008. ICIII '08. International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-0-7695-3435-0
  • Type

    conf

  • DOI
    10.1109/ICIII.2008.161
  • Filename
    4737608