山东省城市创新空间关联网络演变特征及影响因素分析

Spatial Evolution and Determinants of Spatial Correlation Network of urban innovation in Shandong Province

摘要:

基于2014～2017年山东省17个地级市创新联系能力,借助修正引力模型构建城市创新联系能力空间关联的有向加权矩阵,运用社会网络分析法及QAP回归方法探讨城市创新联系能力空间网络结构特征及空间传导关系的形成机制。结果表明：①山东省城市创新联系能力空间关联网络的网络密度加大,网络整体连通性增加,内陆中部、东部沿海地区城市处于网络的中心位置,易与其他城市发生空间关联,起到城市之间产生空间关联的“桥梁”作用。②内陆地区的“多三角型”与沿海地区的“倒T型”强关联网络得以扩展,边缘城市依赖于核心城市发展,形成具有较强关联的稳健性复杂创新网络。③地理距离、人力资本水平差异、政策支持力度差异、企业信息化水平差异对山东省创新联系能力空间关联网络结构的影响方向及回归结果较为稳健。

Abstract:

Based on the data of urban innovation linkage capability of 17 Prefecture-level cities from 2014 to 2017 in Shandong Province,we use the methods of Improved Gravity Model construct Indirect weighting matrix for spatial association of urban innovation linkage capability. Furthermore,we use the methods of Social Network Analysis and QAP regression analyzing the spatial network structure characteristics and the formation mechanism of spatial conduction relationship of urban innovation linkage capability .The results show that：①The spatial density of urban innovation linkage capability from 2014 to 2017 in Shandong Province increased, and the overall connectivity of the network increased. The characteristics of the node structure indicate that the cities in the central and eastern parts of Shandong Province are at the center of the network, and they are easy to be spatially associated with other cities, and the degree of “bridge” that promotes spatial correlation between other cities is also higher. ② From the perspective of cyberspace characteristics, the “multi-triangle” in inland areas and the “inverted T-type” strong correlation network in coastal areas are expanding and the fringe cities rely on the development of core cities, which makes the whole network form a strong correlation and complex urban innovation linkage capability network. ③ The QAP regression and robustness test results show that the geographical distance, the difference of human capital level, the difference of policy support, and the difference of enterprise informatization level have a relatively stable impact on the spatial linkage network of urban innovation linkage capability in Shandong Province.