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
Link To Document :
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