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.