中国区域创新高地空间格局的多尺度分析——高新技术企业视角
The multiscale analysis of the spatial pattern of regional innovation hubs in China:A perspective from high-tech enterprises
郭红星 1邓智团2
作者信息
- 1. 清华大学公共管理学院,北京 100084
- 2. 上海社会科学院,上海 200020
- 折叠
摘要
科技创新进入空前密集活跃期,创新要素不断集聚,创新高地不断涌现,我国区域创新高地的空间格局己成为理论与实践关注的重要议题.基于高新技术企业数据,综合运用DO指数法和自然断裂点法,尝试识别我国已有的区域创新高地的空间格局.研究发现:(1)综合类创新高地与服务类创新高地的空间格局高度重合,在长三角、珠三角和京津冀城市群形成"三足鼎立"的空间格局——长三角以上海为中心呈"W"形分布,珠三角以深圳为中心呈"O"形分布,京津冀以北京为中心呈"工"字形分布.(2)制造类创新高地则形成了长三角和珠三角城市群主导的"两极"格局——长三角以苏州为中心呈"E"形分布,珠三角以深圳为中心呈"C"形分布.(3)长三角和珠三角的创新要素呈现高-高集聚特征,其他地区仍以高-低集聚为主,中国整体创新水平仍有待提升.(4)综合考虑三类创新高地,由各省中心城市构成的创新高地网状格局己具雏形,其核心节点是三大城市群的中心和次中心城市.
Abstract
With the unprecedented intensification of technological innovation,innovative ele-ments are constantly gathering,and several innovation hubs are emerging.The spatial pattern of China's regional innovation hubs has become an essential topic in theory and practice.Based on the data from high-tech enterprises,this paper attempts to identify the spatial pattern of China's existing regional innovation hubs by comprehensively using the DO index and natural break point method.The findings show that:(1)The spatial pattern of comprehensive innovation hubs and service innovation hubs is highly overlapping,forming a"three-legged tripod"spatial pattern in the Yangtze River Delta,Pearl River Delta,and Beijing-Tianjin-Hebei city clusters.(2)The manufacturing innovation hubs have formed a"two-pole"pattern dominated by the Yangtze Riv-er Delta city clusters and the Pearl River Delta city clusters.(3)The innovative elements in the Yangtze River Delta and Pearl River Delta exhibit a high-high agglomeration feature,while other areas still mainly exhibit a high-low agglomeration,and the overall national innovation level still needs to be improved.(4)Considering all three types of innovation hubs,the network of innova-tion hubs composed of provincial central cities has taken shape,and the three major city clusters are the core nodes of the innovation highland network.
关键词
创新高地/空间格局/区县尺度/DO指数/产业异质性Key words
innovation hubs/spatial pattern/county data/DO index/industrial heterogeneity引用本文复制引用
出版年
2024
NETL
NSTL
万方数据