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机构地区:[1]北京工业大学经济与管理学院
出 处:《价格理论与实践》2019年第7期140-143,共4页Price:Theory & Practice
基 金:国家社会科学基金项目:轴辐式网络设计下特大城市交通拥堵治理机制研究(15BJY048);国家科技支撑计划项目:城市生命线安全保障关键技术研究与应用(2012BAJ11B03)
摘 要:本文运用社会网络分析方法,刻画了中国城市群创新空间关联网络的关系,并对创新网络空间结构特征进行深入探讨,基于QAP模型检验了可达性、经济集聚和科研投入等因素与创新空间关联网络结构特征的关系。结果显示:中国城市群创新空间关联网络呈现关联性、稳定性、等级性等特征,各个城市在创新空间关联网络中占据不同的地位,可以归为"经济人"、"双向溢出"、"受益"三种聚类板块;地理空间邻近效应、可达性、经济集聚和科研投入是影响创新网络关联的主要因素,可以借助创新呈现的溢出效应来因地制宜地制定创新战略规划,并实现创新空间联动。This paper uses the method of social network analysis to describe the relationship between the innovation spatial correlation network of Chinese urban agglomeration,and makes an in-depth discussion on the structural characteristics of the innovation spatial correlation network.Based on the QAP model,it tests the relationship between accessibility,economic agglomeration,scientific research investment and the structural characteristics of the innovation spatial correlation network.The results show that:the innovative spatial correlation network of Chinese urban agglomeration presents the characteristics of relevance,stability and hierarchy,and each city occupies different positions in the innovative spatial correlation network,which can be classified into three clustering blocks:"economic man","two-way spillover"and"benefit".Geospatial proximity effect,accessibility,economic agglomeration and scientific research investment are the main factors that affect innovation network correlation.We can make innovation strategy planning according to local conditions and realize the linkage of innovation space with the help of the spillover effect presented by innovation.
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