Paper Info
Title
Computing of the contribution rate of scientific and technological progress to economic growth in Chinese regions
Abstract
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.
Year
DOI
Venue
2012
10.1016/j.eswa.2011.12.032
Expert Syst. Appl.
Keywords
Field
DocType
new economic growth theory,solow residual value method,contribution rate,new method,economic growth,technological progress,computing result,membership degree,cobb-douglas production function,chinese region,different category
Econometrics,Fuzzy clustering,Computer science,Fuzzy logic,Growth accounting,Technological change,Solow residual,Artificial intelligence,Soft computing,Machine learning,Management science,Beijing
Journal
Volume
Issue
ISSN
39
10
0957-4174
Citations 
PageRank 
References 
1
0.34
1
Authors
5
Name
Order
Citations
PageRank
Haixiang Guo17110.66
Jinglu Hu271196.45
Shiwei Yu3689.54
Han Sun411924.95
Yuyan Chen511.69