留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Spatial Evolution and Locational Determinants of High-tech Industries in Beijing

ZHANG Xiaoping HUANG Pingting SUN Lei WANG Zhaohong

ZHANG Xiaoping, HUANG Pingting, SUN Lei, WANG Zhaohong. Spatial Evolution and Locational Determinants of High-tech Industries in Beijing[J]. 中国地理科学, 2013, 23(2): 249-260.
引用本文: ZHANG Xiaoping, HUANG Pingting, SUN Lei, WANG Zhaohong. Spatial Evolution and Locational Determinants of High-tech Industries in Beijing[J]. 中国地理科学, 2013, 23(2): 249-260.
ZHANG Xiaoping, HUANG Pingting, SUN Lei, WANG Zhaohong. Spatial Evolution and Locational Determinants of High-tech Industries in Beijing[J]. Chinese Geographical Science, 2013, 23(2): 249-260.
Citation: ZHANG Xiaoping, HUANG Pingting, SUN Lei, WANG Zhaohong. Spatial Evolution and Locational Determinants of High-tech Industries in Beijing[J]. Chinese Geographical Science, 2013, 23(2): 249-260.

Spatial Evolution and Locational Determinants of High-tech Industries in Beijing

Spatial Evolution and Locational Determinants of High-tech Industries in Beijing

计量
  • 文章访问数:  1149
  • HTML全文浏览量:  40
  • PDF下载量:  944
  • 被引次数: 0
出版历程
  • 刊出日期:  2013-03-25

Spatial Evolution and Locational Determinants of High-tech Industries in Beijing

摘要: Using datasets on high-tech industries in Beijing as empirical studies, this paper attempts to interpret spatial shift of high-tech manufacturing firms and to examine the main determinants that have had the greatest effect on this spatial evolution. We aimed at merging these two aspects by using firm level databases in 1996 and 2010. To explain spatial change of the high-tech firms in Beijing, the Kernel density estimation method was used for hotspot analysis and detection by comparing their locations in 1996 and 2010, through which spatial features and their temporal changes could be approximately plotted. Furthermore, to provide quantitative results, Ripley′s K-function was used as an instrument to reveal spatial shift and the dispersion distance of high-tech manufacturing firms in Beijing. By employing a negative binominal regression model, we evaluated the main determinants that have significantly affected the spatial evolution of high-tech manufacturing firms and compared differential influence of these locational factors on overall high-tech firms and each sub-sectors. The empirical analysis shows that high-tech industries in Beijing, in general, have evident agglomeration characteristics, and that the hotspot has shifted from the central city to suburban areas. In combination with the Ripley index, this study concludes that high-tech firms are now more scattered in metropolitan areas of Beijing as compared with 1996. The results of regression model indicate that the firms′ locational decisions are significantly influenced by the spatial planning and regulation policies of the municipal government. In addition, market processes involving transportation accessibility and agglomeration economy have been found to be important in explaining the dynamics of locational variation of high-tech manufacturing firms in Beijing. Research into how markets and the government interact to determine the location of high-tech manufacturing production will be helpful for policymakers to enact effective policies toward a more efficient urban spatial structure.

English Abstract

ZHANG Xiaoping, HUANG Pingting, SUN Lei, WANG Zhaohong. Spatial Evolution and Locational Determinants of High-tech Industries in Beijing[J]. 中国地理科学, 2013, 23(2): 249-260.
引用本文: ZHANG Xiaoping, HUANG Pingting, SUN Lei, WANG Zhaohong. Spatial Evolution and Locational Determinants of High-tech Industries in Beijing[J]. 中国地理科学, 2013, 23(2): 249-260.
ZHANG Xiaoping, HUANG Pingting, SUN Lei, WANG Zhaohong. Spatial Evolution and Locational Determinants of High-tech Industries in Beijing[J]. Chinese Geographical Science, 2013, 23(2): 249-260.
Citation: ZHANG Xiaoping, HUANG Pingting, SUN Lei, WANG Zhaohong. Spatial Evolution and Locational Determinants of High-tech Industries in Beijing[J]. Chinese Geographical Science, 2013, 23(2): 249-260.

目录

    /

    返回文章
    返回