• DocumentCode
    2114283
  • Title

    On higher education tuition based on the model of multiple linear regression in China

  • Author

    Liu Dequan ; Wei, Wang ; Zhang Aiting ; Gu Zhengbing

  • Author_Institution
    Acad. of Econ., Harbin Univ. of Commerce, Harbin, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    1278
  • Lastpage
    1281
  • Abstract
    Higher education is connected with the nurture of talents, enhancing the national innovation capacity, and the overall situation of building a harmonious society, so the Chinese government and communist party, as well as all sectors of the society have paid much attention and concern to it. A core index of higher education is the quality of education. After different targets are set for different majors, it is necessary to have appropriate funding guarantees for the quality of education. In the paper, a multiple linear regression model has been established on the basis of the reasonable assumption, then the range of average tuition can be got using the EVIEWS software, then a sensitivity analysis was tested on the state funding, which accounted for 1/4 in training costs of students. From the above results, Tuition of all over colleges and universities were reasonable in our country, and the average tuition was negatively correlated to the state funding to some extent. Through the conclusion, we obtained that when the state funding rose by 100 yuan, the average tuition would decrease by 95 yuan.
  • Keywords
    further education; public finance; regression analysis; sensitivity analysis; Chinese government; EVIEWS software; communist party; education quality; harmonious society; higher education; multiple linear regression; sensitivity analysis; state funding; Economic indicators; Educational institutions; Government; Mathematical model; Presses; Training; Higher Education; Multiple Linear Regression; Sensitivity Analysis; Tuition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5573697