TY - JOUR
T1 - Computing of the contribution rate of scientific and technological progress to economic growth in Chinese regions
AU - Guo, Haixiang
AU - Hu, Jinglu
AU - Yu, Shiwei
AU - Sun, Han
AU - Chen, Yuyan
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China No. 71103163 and 71103164, by Research Foundation of Humanities and Social Sciences of Ministry of Education of China No. 10YJC790071, by the Fundamental Research Founds for National University, China University of Geosciences (Wuhan) No. CUG090113 and CUG110411, by China Postdoctoral Science Foundation Grant No. 20090461293, by special grade of the financial support from China Postdoctoral Science Foundation Grant No. 201003670, by the open foundation for the research center of resource environment economics in China University of Geosciences (Wuhan) and by the open foundation for Key Laboratory of Tectonics and Petroleum Resources (China University of Geosciences), Ministry of Education No. TPR-2011-11.
PY - 2012/8
Y1 - 2012/8
N2 - According to the new economic growth theory, a new method of computing the contribution rate of scientific and technological (S&T) progress to economic growth based on the Cobb-Douglas production function and the Solow residual value method is proposed in this paper. This method includes three steps: Firstly, according to their levels of S&T progress, fuzzy soft clustering of thirty one Chinese regions is performed to obtain the membership degree of these places to the categories. Secondly, to calculate the contribution rates that different categories of levels of S&T progress contribute to economic growth. Thirdly, to multiply the obtained contribution rate of each category by the membership degree of the place belonging to this category, from which the contribution rate of S&T progress to economic growth in each place is obtained. Finally, this method is used to calculate the contribution rates of S&T progress to economic growth in thirty one Chinese regions during the period from 1998 to 2007. Last but not least, some reasonable suggestions and conclusions are proposed by analyzing the computing results.
AB - According to the new economic growth theory, a new method of computing the contribution rate of scientific and technological (S&T) progress to economic growth based on the Cobb-Douglas production function and the Solow residual value method is proposed in this paper. This method includes three steps: Firstly, according to their levels of S&T progress, fuzzy soft clustering of thirty one Chinese regions is performed to obtain the membership degree of these places to the categories. Secondly, to calculate the contribution rates that different categories of levels of S&T progress contribute to economic growth. Thirdly, to multiply the obtained contribution rate of each category by the membership degree of the place belonging to this category, from which the contribution rate of S&T progress to economic growth in each place is obtained. Finally, this method is used to calculate the contribution rates of S&T progress to economic growth in thirty one Chinese regions during the period from 1998 to 2007. Last but not least, some reasonable suggestions and conclusions are proposed by analyzing the computing results.
KW - C-D production function
KW - Contribution rate of scientific and technological progress
KW - Scientific and technological progress
KW - Solow residual value method
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U2 - 10.1016/j.eswa.2011.12.032
DO - 10.1016/j.eswa.2011.12.032
M3 - Article
AN - SCOPUS:84862783620
SN - 0957-4174
VL - 39
SP - 8514
EP - 8521
JO - Expert Systems with Applications
JF - Expert Systems with Applications
IS - 10
ER -
