摘要
创新活动发生在具体地点上,其空间黏性已有广泛关注,但当前研究却未能深入微观尺度的创新空间集聚,难以精细化识别创新潜力。文章结合知识、技术、环境三维创新的角度搭建基于兴趣点(POI)微观数据的科技创新潜力空间指标体系,所得结果与粤港澳大湾区都市发展现状高度一致。同时发现:1)科技创新潜力的空间集聚显著,其中知识创新向核集聚,技术创新呈轴带式外溢,但创新环境存在较大协同缺失;2)热点分布呈现出点群集聚、组团联动、多中心并存等特征,形成智慧科研型、产业科技型、环境孵化型、综合发展型等16个创新集聚区,受到"亲水性"布局与传统行政力量的重要影响;3)微观视域下同时体现了空间上的功能性分异及较强的边界模糊效应,广-莞-深-港创新廊道基本成型,不过区域多层次非均衡分布与创新深度融合仍需改善。根据研究结果,需要进一步加大创新的环境营造与三维融合,增强重要创新节点的辐射,明确创新产业差异化定位,深化创新活动的无界互动融通,从而推动湾区创新协同发展。
Innovation regularly appears at different venues and areas within cities, and its spatial stickiness has been widely studied and confirmed. However, most current research on spatial innovation has not been conducted in a micro-scale manner to decode the inner-city potentials. From an urban research perspective, this makes understanding the internal clustering mechanism a significant challenge. Thus, this article uses Points Of Interest(POI) data to explore a Scientific and Technological(S&T) spatial index system focusing on innovation potential with a consideration of three dimensions: knowledge, technology, and environment. It analyzes the micro-scale agglomeration structure of the Guangdong-Hong Kong-Macao Greater Bay Area(GBA). First, an inverted Ustyle innovative core belt embracing the Pearl River in the middle is formed. This area has more substantive innovation potentials on the east than the west coast. Guangdong-Foshan and Shenzhen-Dongguan innovation clusters are then built simultaneously. In both practice and theory, these research findings are consistent with the metropolitan agglomeration pattern and research on the GBA. Additional results are: 1) A notable cluster effect emerges in the spatial distribution of GBA’s innovation potentials. Considering the division of dimension,knowledge-based innovation is likely to be led by Guangzhou and Hong Kong, while technological innovation stretches in strong belt-style spillovers along the Guangzhou-Shenzhen S&T Innovation Corridor. However, there is a dearth of innovation in these incubators’ environments, and collaboration between them needs to be drastically improved. 2) The hotspot structure shows characteristics such as node clustering, group linking, and multicenter coexistence, while 16 Innovation-intensive Zones(IIZs) emerged in four distinct innovative pathways. These are knowledge-and-research-based, industry-led, environment-incubated, and comprehensively developed, and being close to rivers and streams are significantly influenced by the hydro
作者
邱坚坚
刘毅华
袁利
陈澄静
黄清瑶
Qiu Jianjian;Liu Yihua;Yuan Li;Chen Chengjing;Huang Qingyao(School of Geography and Remote Sensing,Guangzhou University,Guangzhou 510006,China)
出处
《热带地理》
CSCD
北大核心
2020年第5期808-820,共13页
Tropical Geography
基金
国家自然科学基金项目(41771096)
广东省哲学社会科学规划专项项目(GD20SQ03)。
关键词
微观创新集聚
创新潜力
粤港澳大湾区
科技创新
空间规划
micro-scale innovation agglomeration
innovation potential
Guangdong-Hong Kong-Macao Greater Bay Area
scientific and technological innovation
spatial planning