Comparative study on economic contribution rate of education of China and foreign countries based on soft computing method

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• 作者：Han Sun^a ; ^{sunhan2004@126.com} ; Haixiang Guo^a ; ^b ; ^c ; ^{faterdumk0732@sina.com} ; Jinglu Hu^c ; Kejun Zhu^a
• 关键词：Education ; Human capital ; Economic ; Soft computing
• 刊名：Applied Soft Computing Journal
• 出版年：2012
• 期刊代码：9_15684946
• 类别：cp
• 出版时间：August, 2012
• 卷：12
• 期：8
• 页码：2106-2113
• 文件大小：596 K

摘要

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 鈥渆ducation-potential human capital-actual human capital-economic growth鈥? 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.