主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2019, Vol. 28 ›› Issue (3): 113-122.DOI: 10.3969/j.issn.1004-9479.2019.03.2017344

• 产业与布局 • 上一篇    下一篇

中国创业板上市公司分布时空格局演变

朱邦耀1, 白雪2, 李国柱1, 石丹1   

  1. 1.吉林师范大学旅游与地理科学学院,吉林四平 136000
    2.东北师范大学地理科学学院,长春 130024
  • 收稿日期:2017-11-14 修回日期:2018-01-13 出版日期:2019-06-15 发布日期:2019-08-13
  • 作者简介:朱邦耀(1982-),男,博士,副教授,主要研究方向为空间经济分析,E-mail:zby2000@126.com。

Temporal and spatial pattern evolution of listed companies on GEM in China

ZHU Bangyao1, BAI Xue2, LI Guozhu1, SHI Dan1   

  1. 1.Department of Tourism and Geography, Jilin Normal University, Siping 136000, China
    2.College of Geographical Science, Northeast Normal University, Changchun 130024, China
  • Received:2017-11-14 Revised:2018-01-13 Online:2019-06-15 Published:2019-08-13
  • Contact: 2019-06-15
  • About author:吉林省社科基金项目(2018BS19);国家自然科学基金青年项目(41801165)。

摘要: 以高新技术产业为主的创业板上市公司是中国创新型企业的典型代表,创业板公司的空间分布格局直观反映了中国区域创新能力的空间差异。以2009-2015年创业板上市公司数据为基础,借鉴ESDA空间数据挖掘理论,基于点的数据和面的数据从不同空间尺度对创业板上市公司的空间分布格局、变化趋势及其影响因素进行了研究。结果显示:①创业板上市公司分布呈现空间集聚特征,阶梯层次分布特性明显,从东部地区向中部地区再向东北地区和西部地区递减,空间分布重心向东向南迁移,迁移速度逐渐趋缓。②创业板上市公司的空间格局具有明显的自相关性,且空间格局的自相关程度呈现持续扩大趋势。③热点区逐步集中于京津、长三角和珠三角三大都市圈,且热点区和次热区范围逐渐缩小,东部地区和中西部地区创新能力差距进一步扩大。④经济开放度和发明专利数量是空间分布差异的主要影响因素,经济发展水平和高等教育水平的影响作用不显著。

Abstract: The GEM listing corporations which are mainly in high technology industry, are typical representatives of China’s science and technology innovation-oriented enterprises. The spatial distribution pattern of the GEM reflects the spatial difference of China's regional innovation capability. This paper investigated the spatial pattern of listed companies on GEM in China from 2009 to 2015 at different spatial scales, using the exploratory spatial data analysis (ESDA) based on ArcGIS and GeoDA platform, the spatial development tendency and the related influencing factors of regional innovation capacity were also probed. The results indicate that: 1) There is an obvious spatial aggregation tendency of listed companies on GEM in China. Regional innovation capacity shows a ladder level distribution. While innovation capacity of the eastern region is generally higher, innovation capacity of the central provinces is general, and innovation capacity of the northeast and western region is relatively low. The mean center of the listed companies on GEM is moving towards east and south, the migration rate is gradually slowing down. 2) The spatial distribution of listed companies on GEM exhibited significant spatial autocorrelation, and the spatial correlation degree of listed companies on GEM has shown a rising trend. 3) The hot spots gradually concentrated in Beijing and Tianjin, the Yangtze River Delta and Pearl River Delta metropolitan. The hot spots and secondary hot spots scope is narrowing down. As a result, the innovation capacity disparities enlarged between the eastern and the central-western China. 4) The economic openness degree and the number of invention patens are the key factors affecting the spatial pattern of listed companies on GEM. The level of economic development and the level of higher education have little effect on the spatial distribution of listed companies on GEM.