• DocumentCode
    2921320
  • Title

    Chinese Industrial Energy Efficiency Evaluation Considering Carbon Emissions

  • Author

    Ming, Cao ; Xiaoping, Wei

  • Author_Institution
    Sch. of Manage., China Univ. of Min. & Technol., Xuzhou, China
  • fYear
    2011
  • fDate
    19-20 Feb. 2011
  • Firstpage
    1453
  • Lastpage
    1456
  • Abstract
    Data envelopment analysis (DEA) is effective to evaluate energy efficiency, but few studies use this technique considering carbon emissions. This paper measures Chinese industrial sector´s energy efficiency considering carbon emissions based on the slack-based measure (SBM) model in 1997-2008. The results show that Chinese industrial energy efficiency is relatively low, the average scores (SBM-based) fluctuated between 0.26 and 0.35, and the trend is decreasing gradually. By Comparative analysis, prove that SBM model considering undesirable outputs can better assess energy efficiency and the level of industrial low-carbon development, the last six sectors´ energy efficiency are extremely low and have great potentiality for improvement.
  • Keywords
    combustion; data envelopment analysis; emission; energy conservation; fossil fuels; Chinese industrial energy efficiency; carbon emissions; data envelopment analysis; slack-based measure; Biological system modeling; Carbon dioxide; Economics; Energy consumption; Energy efficiency; Energy measurement; Industries; DEA-SBM model; carbon emissions; energy efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-61284-278-3
  • Electronic_ISBN
    978-0-7695-4350-5
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2011.453
  • Filename
    5748088
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2921320