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Global activity distribution patterns of top international Chinese contractors

Chen, Chuan, Li, Hongjiang and Martek, Igor 2015, Global activity distribution patterns of top international Chinese contractors, in MSIE 2015: Proceedings of the International Conference on Management Science and Innovative Education, Atlantis Press, Amsterdam, The Netherlands, pp. 163-167, doi: 10.2991/msie-15.2015.29.

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Title Global activity distribution patterns of top international Chinese contractors
Author(s) Chen, Chuan
Li, Hongjiang
Martek, IgorORCID iD for Martek, Igor orcid.org/0000-0001-6573-1291
Conference name Management Science and Innovative Education. International Conference (2015 : Xi'an, China)
Conference location Xi'an, China
Conference dates 2015/12/12 - 2015/12/13
Title of proceedings MSIE 2015: Proceedings of the International Conference on Management Science and Innovative Education
Editor(s) Liu, L.
Shi, J.
Publication date 2015
Series Advances in Social Science Education and Humanities Research
Conference series Management Science and Innovative Education International Conference
Start page 163
End page 167
Total pages 5
Publisher Atlantis Press
Place of publication Amsterdam, The Netherlands
Keyword(s) Global distribution
spatial patterns
Chinese contractors
international construction
ESDA
national agglomerations
regional agglomerations
spatial autocorrelation
Social Sciences
Education & Educational Research
Management
Business & Economics
Summary Top international Chinese contractors' (TICCs) are now major influential players in the global construction market. The last two decades have witnessed a remarkable growth in their global rankings, by revenue. The spatial distribution and expansive behaviors of TICCs are of interest to international contractors generally, as well as to national infrastructure procurers. Nevertheless, few researchers have considered the spatial distribution of TICCs. This study demonstrates that TICCs’ market selection and market positioning are not independent, but have similar characteristics. Clustering methods were used to order the data, with ESDA methods used to analyze the data. The key findings are that TICCs’ target specific national markets and that these markets tend to be geographically proximate creating regional agglomerations. The inference to be drawn is that TICCs tend to follow in each other's footsteps as they expand globally.
ISBN 9789462521254
ISSN 2352-5398
Language eng
DOI 10.2991/msie-15.2015.29
Field of Research 120201 Building Construction Management and Project Planning
Socio Economic Objective 970112 Expanding Knowledge in Built Environment and Design
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084852

Document type: Conference Paper
Collections: School of Architecture and Built Environment
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