Proceedings of 3rd International Symposium on Social Science (ISSS 2017)

An Econometric Analysis of the Relationship between Education and Economic Growth in China

Authors
Xueyan Chang
Corresponding Author
Xueyan Chang
Available Online May 2017.
DOI
https://doi.org/10.2991/isss-17.2017.9How to use a DOI?
Keywords
regression analysis, economic growth, education, human capital.
Abstract
Historically, economists had already emphasized the importance of human capital to the development of a country. Under the contemporary knowledge-based socio-economic background in China, education, as an essential and fundamental element in human capital development, is reasonable to be connected with economic growth. To testify this argument and figure out the inner relationship, I built a linear regression model by using China's provincial data in the past twenty years and the result generated by Eviews has confirmed a convictive positive correlation between education and economic growth in China. This research as well attests the significance of China's strategy "develop the country through science and education". Additionally, the result of this research that education takes positive effect on national development is similar with the achievement of numerous previous international published researches. Therefore, the improvement of education system is a significant step to realize our country's great renaissance.
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Proceedings
3rd International Symposium on Social Science (ISSS 2017)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2017
ISBN
978-94-6252-341-8
ISSN
2352-5398
DOI
https://doi.org/10.2991/isss-17.2017.9How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xueyan Chang
PY  - 2017/05
DA  - 2017/05
TI  - An Econometric Analysis of the Relationship between Education and Economic Growth in China
BT  - 3rd International Symposium on Social Science (ISSS 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/isss-17.2017.9
DO  - https://doi.org/10.2991/isss-17.2017.9
ID  - Chang2017/05
ER  -