• DocumentCode
    1983395
  • Title

    The Research on the Relationship between the Industrial Water Consumption and Economic Development in China

  • Author

    Lei Sheping ; Deng Lili

  • Author_Institution
    Sch. of Humanity, Econ. & Law, Northwestern Polytech. Univ., Xi´an, China
  • Volume
    2
  • fYear
    2013
  • fDate
    28-29 Oct. 2013
  • Firstpage
    69
  • Lastpage
    71
  • Abstract
    After using linear, logarithmic, reciprocal, quadratic, cubic, compound, power, S, growth, index, logistic and other 11 kinds of regression equation and grey correlation degree to study the relationship between the primary, secondary and tertiary industrial water consumption and their production value, this article draw a conclusion that industrial water consumption varies along with the development of the industrial economy. Then, the conclusion that the primary industrial water consumption would decrease with the development of economy, but the secondary and tertiary industrial consumption of water are on the contrary are made by using the GM model to predict the 2011-2020 10-year period industrial water consumption. Finally, appropriate suggestions and comments are given according to the analysis results.
  • Keywords
    grey systems; industrial economics; regression analysis; water resources; China; GM model; cubic equation; economic development; grey correlation degree; industrial economy development; linear equation; logarithmic equation; logistic equation; primary industrial water consumption; production value; quadratic equation; reciprocal equation; regression equation; secondary industrial water consumption; tertiary industrial water consumption; Correlation; Economics; Equations; Industries; Mathematical model; Production; Water resources; GM model; economic development; gray correlation degree; regression analysis; water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ISCID.2013.131
  • Filename
    6804830