摘要
以2001—2006年、2007—2012年和2013—2018年三个阶段的期刊合作数据与专利合作数据为基础,构建粤港澳大湾区城市间知识创新网络与技术创新网络,运用社会网络分析、空间结构指数以及QAP相关性分析等方法对粤港澳大湾区知识流、技术流创新网络空间结构演化特征进行分析。分析结果显示:研究期内两种网络的规模、密度均显著上升,且趋于稳定。深圳始终处于TIN中的核心位置,并形成以"深圳—广州—珠海"为框架的三角分布格局。在KIN中广州扮演了绝对核心的角色,而深圳取代香港呈现与广州齐头并进的演化趋势。TIN动态演化表现出从单中心结构到多中心结构再到单中心结构的趋势,同时粤港澳大湾区东部地区的联系强度显著高于西部地区,表明大湾区整体网络的不均衡性。TIN与KIN极化特征明显,核心城市间的联系与边缘城市间的联系差距呈急剧扩大之势。两种创新网络在2013—2018年阶段具有正相关性,反映出知识创新合作越强则技术创新合作越强的协同创新特征。
The article builds the Guangdong-Hong Kong-Macao Greater Bay Area Inter-City Technology Innovation Network( TIN) and Knowledge Innovation Network( KIN)based on patent cooperation data and journal cooperation data in the three phases of 2001-2006,2007-2012 and 2013-2018,using social network analysis,spatial structure index and QAP correlation analysis methods to analyze the evolution characteristics of the technology flow and knowledge flow innovation network spatial structure in the Guangdong-Hong Kong-Macao Greater Bay Area. The analysis results indicate that: During the study period,the scale and density of the two networks both increased significantly and tended to be stable;Shenzhen has always been at the core of the TIN and formed a triangular distribution framed by “Shenzhen-Guangzhou-Zhuhai ” layout;Guangzhou plays an absolute core role in KIN,and Shenzhen replaces Hong Kong and has an evolutionary trend of keeping pace with Guangzhou. The dynamic evolution of TIN shows a trend from a single-center structure to a multi-center structure and then to a single-center structure. At the same time,the connection strength in the eastern region of the Greater Bay Area is significantly stronger than that in the western region,reflecting the imbalance of the overall network in the Greater Bay Area.The polarization characteristics of TIN and KIN are obvious,and the gap between the connection between core cities and the connection between marginal cities is rapidly expanding. The two innovation networks are positively correlated during 2013-2018 period,reflecting the characteristics of collaborative innovation that the stronger the knowledge innovation cooperation, the stronger the technological innovation cooperation.
出处
《城市问题》
CSSCI
北大核心
2021年第4期12-21,共10页
Urban Problems
基金
广东省科技计划软科学项目(2020A1010020037)。
关键词
流空间
知识创新
技术创新
网络空间格局
粤港澳大湾区
flow space
knowledge innovation
technology innovation
cyberspace pattern
Guangdong-Hong Kong-Macao Greater Bay Area
