Acta Geographica Sinica ›› 2011, Vol. 66 ›› Issue (12): 1682-1694.doi: 10.11821/xb201112009

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Agglomeration and Suburbanization: A Study on the Spatial Distribution of Software Industry and Its Evolution in Metropolitan Shanghai

BI Xiujing1, WANG Mingfeng1, LI Jian2, NING Yuemin1,2   

  1. 1. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China;
    2. Shanghai Academy of Social Sciences, Shanghai 200020, China
  • Received:2011-02-21 Revised:2011-05-06 Online:2011-12-20 Published:2011-12-20
  • Supported by:

    National Natural Science Foundation of China, No.41001106;No.41171145;ECNU Reward for Excellent Doctors in Academics(XRZZ2011019)

Abstract: Due to the continuing global economic integration, global cities are increasingly becoming the nodes of command function and the sites of knowledge and innovation production. In China, ICT sectors including software industry started to cluster in major metropolitan areas since the 1990s, and have become the driving engine of the economy. However, the distribution of software industry is spatially uneven, and spatial factors significantly influence its location decision. Although lots of scholars have focused on this phenomenon and analyzed the spatial pattern of software industry in developed countries, little attention has been paid to metropolitans in China. There is a need to explore how the software firms are distributed in Chinese metropolitans in the transformation period. In this paper, we attempt to discuss the spatial distribution of software firms in Shanghai. We select the information of software firms in the years 2002 and 2008 as our basic dataset to compare the difference of the spatial pattern in different years and explore their mechanism with the aid of GIS. The result shows that agglomeration and suburbanization are dominant characteristics in the distribution of software industry in Shanghai. During the process of suburbanization, we find firms in different types, different scales, and different ownership can lead to different locational decisions. The suburbanization of small firms is more obvious. Based on the empirical analysis, accessibility, politics and the previous distribution pattern have a significant effect on the spatial evolution of software industry in metropolitan Shanghai.

Key words: software industry, agglomeration, suburbanization, negative binomial regression model, Shanghai