• DocumentCode
    508857
  • Title

    Empirical Study on the Relationship between Regional Technological Innovation Capacity and Regional Energy Consumption Intensity

  • Author

    Du, Xiufang ; Yan, Xiaofei

  • Author_Institution
    Econ. & Manage. Sch., Beijing Inst. of Petrochem. Technol., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    26-27 Dec. 2009
  • Firstpage
    42
  • Lastpage
    45
  • Abstract
    Improving energy efficiency is the other effective way to solve China´s energy shortage problem except the industrial structuring. Energy efficiency depends on the production technology level, which is determined by technological innovation capacity. In this paper, we firstly use factor analysis method to do evaluation on technological innovation capacities of China´s 30 regions by means of statistics of 2007, and then use regression analysis method to research the relationship between the regional technological innovation capacity and regional energy consumption intensity. The results show that a significant negative correlation exists between them, which means the increasing technological innovation capacity can improve energy efficiency and lower energy consumption intensity effectively.
  • Keywords
    energy conservation; energy consumption; regression analysis; energy efficiency; energy shortage; factor analysis; production technology level; regional energy consumption intensity; regional technological innovation capacity; regression analysis; Appropriate technology; Educational technology; Energy consumption; Energy efficiency; Industrial relations; Innovation management; Personnel; Regression analysis; Research and development; Technological innovation; Energy consumption intensity; Factor analysis; Regression analysis; Relationship; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-0-7695-3876-1
  • Type

    conf

  • DOI
    10.1109/ICIII.2009.168
  • Filename
    5368192