摘要
作为创新活动的重要载体,创新空间是近年来创新地理学领域关注的重点内容。文章将深圳市创新空间划分技术型、知识型和孵化型3类,结合创新企业数据、POI数据和统计年鉴等数据类型,通过核密度估计、DBSCAN聚类算法以及MGWR模型等方法,刻画创新空间的结构特征、各自异同点及其影响因素。研究发现:①深圳市技术型、知识型和孵化型创新空间均表现为“中心—外围”圈层特点,其中,技术型创新空间还具有等级性组团结构特征;②地区创新水平、产业园支持、金融咨询服务、交通发达程度以及某些生活服务和公共服务会显著正向促进创新空间集聚,但综合型创新核心区、专业型创新发展区和潜力型创新成长区受到的影响具有差异性。基于研究结论,文章针对性地提出了优化深圳市创新空间的政策建议,以期为城市创新空间的优化提供依据。
In recent years,the concept of innovation space has emerged as a significant focal point within the realm of innovation geography.This paper delves into the unique characteristics of Shenzhen's innovation space,categorizing it into three distinct types:technology-based,knowledge-based,and incubation-based.By leveraging various data sources,including information from innovation enterprises,points of interest(POI),and statistical yearbooks,the distribution and spatial structure of innovation space agglomerations are outlined,while also highlighting their similarities and disparities.To achieve this,advanced analytical techniques are empolyed such as kernel density estimation,the DBSCAN clustering algorithm,and the MGWR model.It is found that:Firstly,all three categories of innovation spaces—technology-oriented,knowledge-oriented,and incubation-oriented—display a“center-periphery”structure,with the technology-based innovation space showcasing an additional hierarchical group structure.Secondly,several factors play a significant role in promoting the agglomeration of innovation spaces,including regional innovation levels,support from industrial parks,access to financial consulting services,robust transportation infrastructure,and the availability of specific living and public services.These factors have a notably positive impact on all three types of innovation spaces.However,it's worth noting that the influence of these factors may differ among the different types of innovation space.Through these methodologies,insights into the influencing factors shaping the structure of innovation space are gained.Building upon the findings of this study,targeted policy recommendations aimed at optimizing Shenzhen's innovation space are proposed,providing a foundation for the enhancement of urban innovation spaces,ultimately fostering innovation and growth in the region.
作者
王玉娇
千庆兰
陈清怡
杨娜
WANG Yu-jiao;QIAN Qing-lan;CHEN Qing-yi;YANG Na(School of Geography and Remote Sensing,Guangzhou University,Guangzhou 510006,China;School of Architecture,South China University of Technology,Guangzhou 510641,China)
出处
《广州大学学报(自然科学版)》
CAS
2024年第3期82-92,共11页
Journal of Guangzhou University:Natural Science Edition
基金
国家自然科学基金资助项目(41771127)。
关键词
创新空间
结构特征
影响因素
DBSCAN空间聚类
MGWR
innovation space
structural characteristics
influencing factors
DBSCAN spatial cluste-ring
MGWR