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Factor Analysis and Clustering-Based Empirical Study on Regional Construction Industry Development in China

In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Ya-yun Dang

    (Tianjin University)

  • Xing Bi

    (Tianjin University)

Abstract

The purpose of the study is to provide suggestions for policy-makers and industry practitioners aiming at improving the construction industry development. This paper constructs a complete evaluation index system of regional construction industry development, and then applies factor analysis and clustering to analyze and evaluate the development level of construction industry of 31 regions in China by using SPSS 18.0. These 31 regions are categorized into five clusters by four extracted factors, namely total factor, efficiency and technology factor, per capita factor and profitability factor. The results show that significant differences exist in development level of construction industry among different regions.

Suggested Citation

  • Ya-yun Dang & Xing Bi, 2013. "Factor Analysis and Clustering-Based Empirical Study on Regional Construction Industry Development in China," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 451-460, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40072-8_44
    DOI: 10.1007/978-3-642-40072-8_44
    as

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