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作者:

Li, Hong-Ying (Li, Hong-Ying.) | Chi, Yuan-Ying (Chi, Yuan-Ying.) (学者:迟远英) | Li, Jia-Lin (Li, Jia-Lin.)

收录:

CPCI-S

摘要:

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 wry 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) Their is a strong and weak correlation between industries.

关键词:

Effect Factors Industry Structure Redundancy Analysis

作者机构:

  • [ 1 ] [Li, Hong-Ying]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Chi, Yuan-Ying]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Hong-Ying]Hebei Univ Sci & Technol, Sch Econ & Management, Shijiazhuang 050018, Peoples R China
  • [ 4 ] [Li, Jia-Lin]Beijing Univ Technol, Beijing Dublin Int Coll, Beijing 100124, Peoples R China

通讯作者信息:

  • [Li, Hong-Ying]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China

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来源 :

PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOL. 2

ISSN: 2160-133X

年份: 2015

页码: 631-636

语种: 英文

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