• DocumentCode
    3262583
  • Title

    A Kind of Endogenous Growth Model Considering the Restraints of Nonrenewable Resources and Environment Pollution

  • Author

    He, Jun ; Liu, Ting ; Chen, Huaping ; Ding, Xiao

  • Author_Institution
    Sch. of Manage., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    2
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    449
  • Lastpage
    452
  • Abstract
    Aghion and Howitt have respectively discussed the models of introducing the restraints of environment pollution and nonrenewable resources under the framework of Vertical Product Innovation. In this article, the authors try to introduce both the restraints of environment pollution and nonrenewable resources into Vertical Product Innovation model simultaneously. The basic conclusions of the model in this article are as follows. Firstly, technical innovation serves as the sources of economic growth and sustainable development; secondly, comparing with the restraints of nonrenewable resources, environment pollution affects economic growth and sustainable development to a greater extent; Lastly, the model proposed in this paper is of wide use, which can contain the basic ideas and conclusions of environmental problems models under the framework of Horizontal Product Innovation and Human Capital.
  • Keywords
    economic forecasting; environmental management; pollution; sustainable development; economic growth; endogenous growth model; environment pollution; nonrenewable resources; sustainable development; vertical product innovation; Computational intelligence; Conference management; Environmental economics; Environmental factors; Helium; Humans; Pollution; Power generation economics; Sustainable development; Technological innovation; Endogenous Growth; Environmental Pollution; Nonrenewable Resources; Sustainable Development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.210
  • Filename
    5230931