Research on Shanghai Districts’ Construction Industry Competitiveness

Abstract:

Shanghai districts’ construction industry competitiveness is evaluated and ranked, based on factor analysis, cluster analysis, neural network and the construction industry statistics of Shanghai statistics yearbook in 2007-2011. The evaluation shows that, there is imbalance in the 18 Shanghai districts’ industry scale and output efficiency competitiveness. And the industry in Pudong New Area is far more competitive than the rest of the various districts and counties, which just fits Chinese macroeconomic policies. New countermeasures and suggestions would be established in terms of the characteristics of each district which had been found.

• Periodical: Applied Mechanics and Materials (Volumes 174-177)
• Pages: 3397-3403
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.174-177.3397
• Online since: May 2012
• Authors: Xiu Ming Li, Jian Guo Chen
• Keywords: Cluster Analysis, Construction Industry, Factor Analysis (FA), Industry Scale and Output Efficiency Competitiveness, Neural Network (NN)

References

[1] Shanghai Municipal Statistical Bureau. Shanghai Statistical Yearbook (2007-2011)[M]. http://www.stats-sh.gov.cn/data/release.xhtml.

[2] Lei Wang, Xiao Wang, Zhiling Wang. The evaluation on growth of construction industry based on factor analysis [J]. Science & Technology Progress and Policy, 2006 (7):82-84 ( in Chinese).

[3] Jiayuan Wang, Hongping Yuan. Comprehensive assessment of construction industry based on factor analysis method [J].Journal of Shenzhen University Science and Engneering,2007(10):373-378 ( in Chinese).

[4] Wenxiong Wang, Qiming Li. Research on Chinese Construction Industry Competition based on Factor Analysis and Cluster Analysis [J]. Application of Statistics and Management,2008(3):329-337(in Chinese).

[5] Xiaoyan Liu, Xueqing Wang. Research on Chinese Construction Industry Competition based on DEA[J]. Construction Economy,2008: 18-21(in Chinese).

[6] Jiayuan Wang, Yinchuan Ye. Competitiveness assessment of regional construction industry based on principal components analysis [J]. Journal of Shenzhen University Science and Engneering,2009(1):92-97(in Chinese).

[7] Bingsheng Liu, Xueqing Wang, Li Lin. Chinese Construction Industry Competitiveness Prediction Research Based on PCA-BP Neural Networks[J].Journal of Beijing Institute of Technology(Social Sciences Edition),2010(12):61-64(in Chinese).

[8] Xueqing Wang, Shuai Zhang, Bingsheng Liu. Index Selection and Empirical Study Using the ANP Evaluation Model for the Regional Construction Industry Competitiveness [J]. Journal of Engineering Management,2011 (04):121-127(in Chinese).

[9] Xiaoqun He. Analysis Approach and Application of Modern Statistics[M]. Beijing: China Ren-min University Press, 2008:58-104; 192-226(in Chinese).