Title :
Effect factors of China´s industry structure based on redundancy analysis
Author :
Hong-Ying Li;Yuan-Ying Chi;Jia-Lin Li
Author_Institution :
School of Economics and Management, Beijing University of Technology, Beijing 100124, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
This paper analyzes 38 industrial structures´ industry impact factor of China´s 31 provinces and cities, with the method of redundancy analysis. The conclusion is as follows: (1) Redundancy analysis is a very potential method of quantitative analysis of the relation between two variables. The redundancy analysis of industry structure has passed statistically significant test, the sort result is good. (2) Currently, the most important factors, which influence the changeable of Chinese industrial structure, are the added value of ten thousand yuan of industrial energy consumption, the staff number, total assets contribution and industrial and mining land. (3) Along with the environmental factor direction, there is a part of the gradient rule in 31 provinces. (4) There is a strong and weak correlation between industries.
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
DOI :
10.1109/ICMLC.2015.7340628