Title :
Empirical Analysis on the Cities´ GDP and the Main Economic Indicators of High-Tech Industrial Parks
Author :
Song, Yu-Chen ; Zhen, Sha
Author_Institution :
Dept. of Min. Inf. Syst., Inner Mongolia Univ. of Sci. & Technol., Baotou, China
Abstract :
In this paper, the national 54 high-tech industrial parks´ main economic indicators and their cities´ GDP are analyzed respectively with clustering analysis. It is found that there is a certain degree of correlation between them. To reveal the inner relationship, analyzing the high-tech industrial parks´ production and the cities´ GDP are carried on with correlation analysis. It is showed that there is a high positive correlation between them. And it provides a reference to the relevant policies of the development.
Keywords :
economic indicators; industrial economics; pattern clustering; statistical analysis; GDP; Gross Domestic Product; clustering analysis; correlation analysis; economic indicators; empirical analysis; high-tech industrial park; Cities and towns; Correlation; Economic indicators; Industries; Production; Technological innovation; Cities´ GDP; Clustering Analysis; Correlation Analysis; High-tech industrial parks´ economic;
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1541-9
DOI :
10.1109/BIFE.2011.171
