• DocumentCode
    3161084
  • Title

    The study of the impact of technology advance on China´S energy consumption per unit GDP

  • Author

    Shang, Jie ; Li, Ningning

  • Author_Institution
    School of Economics &Management, Northeast Forestry University, China, 150040
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Since China´s reform and opening, with the rapid development of the heavy manufacturing and high energy consumption industry, energy consumption also increases significantly. However, in the energy consumption process, out-dated technology lead to high energy consumption of the unit GDP and the environmental pollution, which have directly influenced the sustainable development of China´s energy consumption, economy and society. In order to ensure China´s energy consumption, economic and social sustainable development, we should put more technology into the energy consumption to realize the changes towards tech-intensive China´s energy consumption and the goal of China´s 11th Five-Year Plan that average energy consumption per unit GDP decline 20%. Therefore, on the basis of analyzing the actuality of China´s energy consumption per unit GDP and technology advance, first the paper sums up 14 indexes which impact China´s technology advance and sets up a comprehensive assessment system on China´s technology advance; second it uses gray correlation analysis to select the key technology indexes which have an important impact on China´s energy consumption constitution, and builds a multiple linear regression model for analyzing the connection between technology advance and China´s energy consumption; Finally it uses GM (1.1) gray prediction model to select the optimum technology inputs decision-making which can realize the goal of China´s 11th Five-Year Plan that average energy consumption per unit GDP decline 20%, in order to provide theoretical support for the relevant departments.
  • Keywords
    Energy consumption; GM (1.1); Gray correlation analysis; Multiple linear regression; Technology advance;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Technology and Innovation Conference 2009 (ITIC 2009), International
  • Conference_Location
    Xian, China
  • Type

    conf

  • DOI
    10.1049/cp.2009.1383
  • Filename
    5518740