• DocumentCode
    3350278
  • Title

    Study on Chinese industrial SO2 emission intensity based on LMDI I and LMDI II method

  • Author

    Zhao, XiaoLi ; Xu, Hongwei ; Yang, Juan ; Chen, Zhe

  • Author_Institution
    Sch. of Econ. & Bus., North China Electr. Power Univ., Beijing, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    1665
  • Lastpage
    1668
  • Abstract
    Based on logarithmic mean Divisia index method I and II, the factors impacting the changes of Chinese industrial SO2 emission intensity are decomposed into SO2 production intensity effect, government control effect (policy effect) and industrial structural effect. Using data of 1998 to 2006, result shows that the main driver behind the reduction of SO2 emission intensity is SO2 production intensity, contribute 5285 ton/ RMB Yuan reduction. That means technological improvement is the main impact factor to the changes of SO2 emission intensity. Meanwhile, the influences of policy effect and industrial structural effect have more possibilities to enlarge. Therefore, at the same time of paying attention to technology progress, we should intensify the industrial structural adjustment and SO2 emissions government control.
  • Keywords
    air pollution control; industrial pollution; sulphur compounds; Chinese industrial SO2 emission intensity; LMDI I method; LMDI II Method; RMB Yuan reduction; SO2; SO2 emission government control; SO2 production intensity effect; government control effect; industrial structural adjustment; industrial structural effect; logarithmic mean Divisia index method; Data processing; Environmental economics; Government; Industrial control; Industrial economics; Industrial relations; Power generation economics; Production; Testing; Yttrium; Chinese Industries; LMDI I Method; LMDI II Method; SO2 emission intensity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535665
  • Filename
    5535665