Computing of the contribution rate of scientific and technological progress to economic growth in Chinese regions

Haixiang Guo, Jinglu Hu, Shiwei Yu, Han Sun*, Yuyan Chen

*この研究の対応する著者

研究成果: Article査読

12 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)8514-8521
ページ数8
ジャーナルExpert Systems with Applications
39
10
DOI
出版ステータスPublished - 2012 8

ASJC Scopus subject areas

  • 工学(全般)
  • コンピュータ サイエンスの応用
  • 人工知能

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