|
|||||
|
|
| 粤港澳大湾区协同创新的综合测度与演化特征 | |
| 引用本文： | 吴康敏,张虹鸥,叶玉瑶,陈奕嘉,岳晓丽.粤港澳大湾区协同创新的综合测度与演化特征[J].地理科学进展,2022,41(9):1662-1676. |
| 作者姓名： | 吴康敏 张虹鸥 叶玉瑶 陈奕嘉 岳晓丽 |
| 作者单位： | 1.广东省科学院广州地理研究所,广东省遥感与地理信息系统应用重点实验室/广东省地理空间信息技术与应用公共实验室,广州 510070 2.粤港澳大湾区战略研究院,广州 510070 3.南方海洋科学与工程广东省实验室(广州),广州 511458 4.广东工业大学建筑与城市规划学院,广州 510090 |
| 基金项目： | 国家自然科学基金项目(42101182);国家自然科学基金项目(42130712);国家自然科学基金项目(41871150);国家重点研发计划项目(2019YFB2103101);粤港澳大湾区战略研究院建设专项(2020GDASYL-20200201001);粤港澳大湾区战略研究院建设专项(2021GDASYL-20210401001) |
| 摘 要： | 理解粤港澳大湾区协同创新的网络结构及其演化特征对于新时期大湾区的创新化发展转型至关重要。论文通过构建包括技术创新、知识生产、创新资本3个维度的协同创新测度指标体系,基于城市群流空间网络构建与社会网络分析方法,系统性研究了多创新维度下粤港澳大湾区协同创新的网络结构及其演化特征。结果表明： ① 粤港澳大湾区创新流空间结构呈现出显著的极化特征,且随着时间推移,极化效应不断强化,深圳、香港、广州在创新流空间网络中占据绝对核心地位;② 多维度创新流要素网络结构呈现出显著差异性,技术创新与创新资本维度中,香港、深圳占据了城市群网络的核心,知识生产维度的核心城市则是广州与香港,广州在各维度网络中均扮演了重要的“枢纽型”城市角色,深圳在各维度网络中的创新层级随着时间推移在不断增长;③ 综合多维度指标的测度结果显示,香港与深圳分别是早期与新时期粤港澳大湾区协同创新网络的核心,当前大湾区整体呈现为穗深港三核心并立的城市群网络空间结构。研究可为新时期粤港澳大湾区创新资源的合理化配置提供理论与实证支撑。 |
| 关 键 词： | 协同创新 流空间 城市群网络 社会网络分析 粤港澳大湾区 |
| 收稿时间： | 2022-01-20 |
| 修稿时间： | 2022-06-22 |
Measurement and evolution characteristics of collaborative innovation in the Guangdong-Hong Kong-Macao Greater Bay Area |
|
| WU Kangmin,ZHANG Hong'ou,YE Yuyao,CHEN Yijia,YUE Xiaoli.Measurement and evolution characteristics of collaborative innovation in the Guangdong-Hong Kong-Macao Greater Bay Area[J].Progress in Geography,2022,41(9):1662-1676. | |
| Authors: | WU Kangmin ZHANG Hong'ou YE Yuyao CHEN Yijia YUE Xiaoli |
| Abstract: | In the new era of development, understanding the network structure and evolution characteristics of collaborative innovation is crucial for innovation-oriented transformation of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). This study constructed a collaborative innovation measurement indicator system including three dimensions: Technological innovation, knowledge production, and innovation capital. Based on social network analysis and the construction of "space of flow" network of urban agglomerations, this study systematically examined the network structure and evolution characteristics of collaborative innovation in the GBA from multiple perspectives. The results show that: 1) The spatial structure of innovation flow in the GBA presents an obvious polarization pattern, and it has continued to strengthen over time. Specifically, Shenzhen, Hong Kong, and Guangzhou are at the absolute core of the spatial network of innovation flow. 2) The network structure of multi-dimensional innovation flows show significant differences. With regard to technological innovation and innovation capital, the cores of the network of urban agglomerations are Hong Kong and Shenzhen; in the dimension of knowledge production, the dominant cities are Guangzhou and Hong Kong. In all dimensions, Guangzhou plays an important role as a hub city and Shenzhen's innovation level has continued to grow over time. 3) The measurement of comprehensive multi-dimensional indicators indicates that Hong Kong was the core city of the collaborative innovation network of the GBA in the early stage of development, while Shenzhen has become the core city in the new era. Currently, the GBA as a whole presents a network spatial structure with three cores: Guangzhou, Shenzhen, and Hong Kong. This research can provide theoretical and empirical support for the rational allocation of innovation resources in the GBA in the new era. |
| Keywords: | collaborative innovation space of flow urban agglomeration network social network analysis Guangdong-Hong Kong-Macao Greater Bay Area |
| 点击此处可从《地理科学进展》浏览原始摘要信息 | |
| 点击此处可从《地理科学进展》下载免费的PDF全文 | |