DocumentCode :
1961970
Title :
Inner correlation and mutual interaction between industrulization and informationization in China
Author :
Wang, Keyu ; Li, Ning
Author_Institution :
Sch. of Manage., Changchun Inst. of Technol., Changchun, China
Volume :
3
fYear :
2012
fDate :
20-21 Oct. 2012
Firstpage :
69
Lastpage :
72
Abstract :
Industrialization is a pivotal process to enhance the competition of country. With the development of industry in China, the traditional industrialization path which focuses on the enlarge of inputs of energy and human resource expressed more disadvantages. To keep the high speed of development in industry and enhance the competitive capability in China, we should accept more information technology to support and guarantee the development of industrialization. The PCA (principle component analysis) method is applied to extract main factors in the process of industrialization and informationization separately. By using statistic correlation method, we can prove the relationship between industrialization and informationization. Based on the inner correlation of industrialization and informationization, we applied DEA models to calculate the integration level of 17 cities in Shandong province and proposed corresponding measures on develop the type of industrialization.
Keywords :
data envelopment analysis; industrial economics; information management; principal component analysis; resource allocation; China; DEA model; PCA method; Shandong province; energy resource; human resource; industrialization; information technology; informationization; inner correlation; mutual interaction; principal component analysis; statistic correlation method; Cities and towns; Employment; Industries; Loading; Technological innovation; correlation; industrialization; information technology; principle component analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4673-1932-4
Type :
conf
DOI :
10.1109/ICIII.2012.6339922
Filename :
6339922
Link To Document :
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