• DocumentCode
    3460608
  • Title

    Empirical Research on Environmental Pollution Efficiencies of China´s Manufacturing Industries

  • Author

    Zang, Zhipeng ; Li, Lianshui ; XIE, Xuefang ; Cui, Weijun

  • Author_Institution
    Sch. of Econ. & Manage., Southeast Univ., Nanjing
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In general, data envelope analysis (DEA) assumes that inputs and outputs are "desirable goods", but the undesirable waste should be considered from the perspective of environmental pollution. This article utilizing "total assets", "energy consumption" and "number of employees" as the input variables, and "volume of waste water discharged", "Volume of waste gas emission" and "volume of solid wastes produced" as the output variables, calculated the pollution efficiencies of China\´s 28 manufacturing industries from 2001 to 2006. Results show that the industries of "smelting and pressing of ferrous metals", "nonmetal mineral products" and "papermaking and paper products" have been keeping the highest pollution efficiencies in all the industries during the six years. More strict and effective measures are necessary.
  • Keywords
    data envelopment analysis; pollution control; data envelope analysis; energy consumption; environmental pollution efficiencies; ferrous metals; manufacturing industries; nonmetal mineral products; total assets; waste gas emission; Data analysis; Data envelopment analysis; Energy consumption; Environmentally friendly manufacturing techniques; Industrial pollution; Input variables; Manufacturing industries; Metal product industries; Metals industry; Mining industry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.1921
  • Filename
    4680110