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科技创新作为当今社会经济增长的核心驱动力,直接决定着一个国家与区域经济发展的速度与质量,科技创新空间布局优化,对于活化区域经济系统,改善区域发展的不平衡与提升国家综合实力有着重要的意义。在世界城市研究理论与方法的基础上,构建科技创新搜索趋势综合指数,搭建起省域间科技创新空间网络,借助社会网络分析(SNA)方法,对我国省域间科技创新关联及空间结构进行了多维度研究探讨,通过权重网络分析、枢纽网络分析以及节点核心度分析等多项结果表明,我国东—中—西各区域间及区域内部科技创新发展呈现出显著的不均衡特征,地理与流动空间不同视角下的区域科技创新空间分布差异化特征各异,从整体来看,以东部沿海经济带省域为核心的科技创新空间布局基本形成,黄河经济带、长江经济带的廊道效应逐渐突显,少数中西部省域科技创新表现突出并形成新的增长点;从网络分析视角出发,在以往科技创新分布研究的基础上,进一步揭示了省域科技创新空间的网络特征演变规律。
As the core driving force of today’s social economic growth, science and technology innovation directly determines the speed and quality of the economic development of a country and the region. The optimization of spatial distribution of science and technology innovation is of great significance for activating the regional economic system, improving the imbalance in regional development and enhancing the overall national strength Significance. Based on the theories and methods of world urban research, we construct a synthesis index of technological innovation search trends and establish a provincial inter-regional scientific and technological innovation space network. With the help of the SNA method, The results of multi-dimensional research and discussion through weight network analysis, hub network analysis and node core degree analysis show that the development of science and technology innovation in China’s East-Central-West regions and regions shows significant imbalance characteristics. Geography and From different perspectives, the differences in spatial distribution of regional science and technology innovation have different characteristics. From the overall point of view, spatial distribution of science and technology innovation with the core of the eastern coastal economic zone as the core has basically taken shape. The corridor effect of the Yellow River economic belt and the Yangtze River economic belt Gradually highlighted that a small number of central and western provinces have made outstanding achievements in scientific and technological innovation and formed new growth points. From the perspective of network analysis, based on previous studies on the distribution of scientific and technological innovations, the evolution of network features in provincial science and technology innovation space was further revealed.