• DocumentCode
    3717753
  • Title

    Research on decoupling and driving factors of industrial ecosystem in Jiangsu province

  • Author

    Wen-wen Li;Wen-ping Wang;Tian-tian Zhou;Ying-bo Qin

  • Author_Institution
    School of Economics and Management, Southeast University, Nanjing, 211189, China
  • fYear
    2015
  • Firstpage
    1656
  • Lastpage
    1661
  • Abstract
    Industrial sectors have resulted in a large amount of pollution. Environmental degradation problem requires more indepth research on relationships between different sectors´ economic output and pollutant emissions. This paper analyzes the relationship between industrial economy and ecology. On the basis of it, the driving factors of industrial sectors´ pollution emissions are analyzed. Firstly, decoupling elasticity of industrial sectors in Jiangsu province during 2004-2013 is analyzed by Tapio decoupling model. And then, the industrial sectors are classified into three types according to the different decoupling elasticity. Finally, the three types of industrial sectors´ driving factors of industrial solid waste output are decomposed by LMDI method. The results show that: industrial sectors in Jiangsu province are divided into strong decoupling sectors, weak decoupling sectors and expansive negative decoupling sectors; economic development significantly promotes the increase of industrial solid waste output of all sectors; technology improvement and industrial structure largely decrease industrial solid waste output of strong decoupling sectors and weak decoupling sectors; however, technology improvement accelerates industrial solid waste output of expansive negative decoupling sectors; the role of industrial structure factor changes from restraint to promotion of expansive negative decoupling sectors.
  • Keywords
    "Yttrium","Economics","Solids","Pollution measurement","Manufacturing","Erbium"
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2015 15th International Conference on
  • ISSN
    2093-7121
  • Type

    conf

  • DOI
    10.1109/ICCAS.2015.7364623
  • Filename
    7364623