DocumentCode
2705923
Title
Place-bound or footloose? Application of GIS approach to the locational trajectory of ICT firms in metropolitan Shanghai
Author
Bi, Xiujing ; Ning, Yuemin ; Xu, Wei
Author_Institution
Center for Modern Chinese City Studies, East China Normal Univ., Shanghai, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
6
Abstract
This article focuses on the evolutionary tendency and influencing factors of ICT firms´ location in metropolitan areas. Based on the information of firms in 2002 and 2008, the study maps out the spatial change of firm location and reveals the clustering process of firms based on density analysis. By adopting spatial regression model, the study attempts to explain the underlying factors responsible for the spatial distribution of ICT firms in Shanghai. Comparing the spatial patterns of firm location between 2002 and 2008, it is found that the central city as a primary firm location is replaced with multiple industrial clusters in the outskirt of the city. During the process of this territorial dispersion, the choice of firm location and relocation is largely shaped by firm type and capital availability. The results from regression analysis indicate the factors responsible for the firm location include former distribution pattern, ICT policies and accessibility.
Keywords
evolutionary computation; geographic information systems; organisational aspects; regression analysis; GIS approach; ICT accessibility; ICT firms location; ICT policiy; Metropolitan Shanghai; capital availability; central city; clustering process; density analysis; distribution pattern; evolutionary tendency; firm relocation; firm type; footloose; industrial clusters; influencing factors; locational trajectory; metropolitan areas; place-bound; primary firm location; regression analysis; spatial distribution; spatial patterns; spatial regression model; territorial dispersion; Application software; Business; Cities and towns; Industries; Kernel; Spatial databases; GIS-based approach; ICT firms; Shanghai; industrial cluster;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5980697
Filename
5980697
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