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

Ya-yun Dang () and Xing Bi ()
Additional contact information
Ya-yun Dang: Tianjin University
Xing Bi: Tianjin University

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 451-460 from Springer

Abstract: 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.

Keywords: Clustering; Development; Factor analysis; Regional construction industry (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40072-8_44

Ordering information: This item can be ordered from
http://www.springer.com/9783642400728

DOI: 10.1007/978-3-642-40072-8_44

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().