A Positive and Comparative Study on Industrial Structure Transformation Capacity of Provincial Level Divisions in China

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Abstract:

Most urban planning policies are affected by the industrial structure. This paper gave a positive and comparative analysis on the industrial structure transformation ability and transformation direction of the thirty-one provincial level divisions in China by using principal component analysis, based on theories of regional economic development and industrial economics. The results show that Beijing, Shanghai, Guangdong, Jiangsu, Zhejiang and Shandong have strong industrial structure transformation ability and the industrial transformation direction is in the tertiary industry except for Guangdong, Jiangsu and Shandong. The industrial structure transformation ability over the thirty-one regions exhibits a decreasing trend from the eastern coastal area to the west inland. The sequence of industry structure transformation direction is from the first industry to the second and then to the tertiary for China.

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Advanced Materials Research (Volumes 807-809)

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1780-1786

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Hongshen Gao, in: The Regional Economics, China Renmin University Press (2002), In Chinese.

Google Scholar

[2] Shuyan Yu , Xiaohua Rong, in: The Comparative Analysis of Industrial Structure Transformation Ability in Liaoning Province, Industrial Technology and Economic, vol. 23, pp.94-97(2004), In Chinese.

Google Scholar

[3] Zhigang Gao, in: The Evaluation of Industrial Structure Transformation Ability in Xinjiang Province Based on PCA Method, Productivity Research, vol1, p.151~152(2003) , In Chinese.

Google Scholar

[4] Chanfe He, in The Comparative Analysis of Industrial Structure Transformation Ability in China, Journal of economic geography. vol. 16, pp.68-74(1996), In Chinese.

Google Scholar

[5] xiao Chu, Jing-hua Sha, in: Comparison Industrial Structure Tranformation Capacity in Five Westernern Provinces, Resources & Industries, 2012(2), In Chinese.

Google Scholar

[6] Xiao Li, Jian-ping Zhang, in: Comparative Analysis on Transition Capacity of Industrial Structure: An Example of Jilin Province, Northeastern Asia Forum 2008(5), In Chinese.

Google Scholar

[7] S. Shrestha, F. Kazama, in: Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan, Environmental Modeling & Software, vol. 22, p.464–475, April (2007).

DOI: 10.1016/j.envsoft.2006.02.001

Google Scholar

[8] Sarbu. C, Pop.H. F, in: Principal component analysis versus fuzzy principal component analysis. A case study: the quality of Danube water (1985-1996), Talanta, vol. 65, pp.1215-1220(2005).

DOI: 10.1016/j.talanta.2004.08.047

Google Scholar

[9] National bureau of statistics of China, China Environment Statistical Yearbook. Beijing, China: China Statistics Press(2012).

Google Scholar