• DocumentCode
    3409277
  • Title

    Grey system research on influencing factor and forecast of scale of Chinese ordinary higher education

  • Author

    Dongjiao, Li

  • Author_Institution
    Coll. of Educ., Soochow Univ., Suzhou, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    648
  • Lastpage
    650
  • Abstract
    In order to objectively analyze influencing factor and prediction of the future of scale of Chinese ordinary higher education, this article uses grey correlation method, based on related statistical data of Chinese ordinary higher education of 2000 to 2007, after selected the ratio of specially teachers, GDP, the national financial educational expenditure, the number of the tertiary industry employed people, the township dwellers to be possible to control the income, resident average per person net income, analyzed influencing factor of education scale, and then predicted higher educational development scale of future five years using GM (1, 1) model. The result suggested that in the future five years Chinese higher education development scale will sustained growth.
  • Keywords
    economic indicators; financial management; forecasting theory; further education; grey systems; statistical analysis; Chinese higher education development scale; Chinese ordinary higher education; GDP; education scale; forecast of scale; grey correlation method; grey system research; higher educational development scale; national financial educational expenditure; related statistical data; sustained growth; teachers; tertiary industry employed people; township dwellers; Correlation; Economic indicators; Education; Industrial control; Intelligent systems; Large-scale systems; Predictive models; Shape; Statistics; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408232
  • Filename
    5408232