TY - JOUR
T1 - Comparative study on economic contribution rate of education of China and foreign countries based on soft computing method
AU - Sun, Han
AU - Guo, Haixiang
AU - Hu, Jinglu
AU - Zhu, Kejun
N1 - Funding Information:
The authors gratefully acknowledge the foundation support such as the National Natural Science Foundation of China (NSFC) No. 71103164 , 71103163 , Research Foundation of Humanites and Social Sciences of Ministry of Education of China No. 10YJC790071 . Fundamental Research Founds for National University, China University of Geosciences (Wuhan) No. CUG090113 and CUG110411 , Open Foundation for Key Laboratory of Tectonics and Petroleum Resources (China University of Geosciences), Ministry of Education No. TPR-2011-11 and Fundamental Research Founds for National University, China University of Geosciences mineral resource strategy and policy research center No. 2011B012. We also give special thanks to anonymous reviewer for their valuable review comments that made our study more integrated.
PY - 2012/8
Y1 - 2012/8
N2 - Economic contribution rate of education (ECRE) is the key factor of education economics. This article selected China, South Korea, United States and other countries for a total of 15 samples, and put the data of the same period under the framework of soft computing, to simulate the production chain of "education-potential human capital-actual human capital-economic growth". The basic idea is: Firstly, 15 countries are softly categorized according to the level of science and technology (S&T) progress. Secondly, potential human capital and actual human capital establish the internal correlation (fuzzy mapping) in the same classification, and we conceptualize actual human capital as one production factor, joined with the other two production factors, fixed asset and land, to set up the fuzzy mapping to economic growth., and then calculate economic contribution rate of education of China and foreign by two fuzzy mapping of them. Thirdly, this paper analyzes the present state and differences in the development of education between China and foreign according to different ECRE, and offers proposals for promoting the education in China.
AB - Economic contribution rate of education (ECRE) is the key factor of education economics. This article selected China, South Korea, United States and other countries for a total of 15 samples, and put the data of the same period under the framework of soft computing, to simulate the production chain of "education-potential human capital-actual human capital-economic growth". The basic idea is: Firstly, 15 countries are softly categorized according to the level of science and technology (S&T) progress. Secondly, potential human capital and actual human capital establish the internal correlation (fuzzy mapping) in the same classification, and we conceptualize actual human capital as one production factor, joined with the other two production factors, fixed asset and land, to set up the fuzzy mapping to economic growth., and then calculate economic contribution rate of education of China and foreign by two fuzzy mapping of them. Thirdly, this paper analyzes the present state and differences in the development of education between China and foreign according to different ECRE, and offers proposals for promoting the education in China.
KW - Economic
KW - Education
KW - Human capital
KW - Soft computing
UR - http://www.scopus.com/inward/record.url?scp=84861915847&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861915847&partnerID=8YFLogxK
U2 - 10.1016/j.asoc.2012.03.006
DO - 10.1016/j.asoc.2012.03.006
M3 - Article
AN - SCOPUS:84861915847
SN - 1568-4946
VL - 12
SP - 2106
EP - 2113
JO - Applied Soft Computing
JF - Applied Soft Computing
IS - 8
ER -
