• DocumentCode
    2435127
  • Title

    Research of higher education input-output efficiency based on principal component analysis

  • Author

    Lei, Chen ; Guicheng, Shen

  • Author_Institution
    Inf. Sch., Beijing WuZi Univ., Beijing, China
  • fYear
    2011
  • fDate
    8-11 Jan. 2011
  • Firstpage
    174
  • Lastpage
    177
  • Abstract
    A mathematical model was built to make analysis on higher education input-output efficiency. The model included eight input indicators and six output indicators of 31 areas in China. The principal component analysis method was used to reduce dimension of input indicators and output indicators. The multidimensional variables were simplified to one input principal component and one output principal component, which then were used to compare and analyze input-output efficiency of 31 areas. As a result, higher input usually leads to higher output but doesn´t lead to higher input-output efficiency. Effective operational mechanisms should be set up to ensure the close connection between input and output, and to improve input-output efficiency.
  • Keywords
    further education; principal component analysis; higher education input-output efficiency; mathematical model; principal component analysis; Correlation; Covariance matrix; Data mining; Educational institutions; Mathematical model; Principal component analysis; higher education; input-output; principal comoponent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Industrial Engineering (MSIE), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8383-9
  • Type

    conf

  • DOI
    10.1109/MSIE.2011.5707690
  • Filename
    5707690