首页|深圳市创新空间结构测度与影响因素分析

深圳市创新空间结构测度与影响因素分析

扫码查看
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.
Analysis of spatial structure measurement and influencing factors of innovation in Shenzhen
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 innova-tion enterprises,points of interest(POI),and statistical yearbooks,the distribution and spatial struc-ture of innovation space agglomerations are outlined,while also highlighting their similarities and dis-parities.To achieve this,advanced analytical techniques are empolyed such as kernel density estima-tion,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 ad-ditional 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.

innovation spacestructural characteristicsinfluencing factorsDBSCAN spatial cluste-ringMGWR

王玉娇、千庆兰、陈清怡、杨娜

展开 >

广州大学地理科学与遥感学院,广东广州 510006

华南理工大学建筑学院,广东广州 510641

创新空间 结构特征 影响因素 DBSCAN空间聚类 MGWR

国家自然科学基金

41771127

2024

广州大学学报(自然科学版)
广州大学

广州大学学报(自然科学版)

影响因子:0.293
ISSN:1671-4229
年,卷(期):2024.23(3)