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作 者:潘春苗 母爱英[2] 翟文 Pan Chunmiao;Mu Aiying;Zhai Wen
机构地区:[1]中国社会科学院大学经济学院,北京102488 [2]河北经贸大学经济研究所,河北石家庄050061 [3]北京城市学院首都城市环境建设研究基地,北京100083
出 处:《复印报刊资料(区域与城市经济)》2022年第10期116-125,共10页REGIONAL AND URBAN ECONOMY
基 金:北京市社会科学院重点项目“北京科技创新对京津冀辐射带动能力提升研究”(2017A4621)。
摘 要:城市群协同创新问题是学术界研究热点之一,但不同城市群协同创新网络之间的比较研究却鲜受关注。基于跨城市合著论文、跨城市联合申请发明专利、省际技术交易数据,对比分析京津冀、长三角城市群、粤港澳大湾区协同创新网络结构和空间特征,研究表明:三大城市群的知识创新合作网络与专利技术合作网络的整体特征相统一,粤港澳大湾区各项指标位居首位,但二者在子群划分和空间布局上有所差异;北京、上海是重要的技术输出地,广东得益于良好的科技成果转化配套条件,成为北京、上海技术输出的重要吸纳地。为进一步提升三大城市群协同创新水平,应重点解决好城市间协同创新不平衡问题,充分发挥核心节点城市的辐射带动作用,优化软硬配套环境。The issue of collaborative innovation in urban agglomerations is one of the research hotspots in academia,but comparative research between collaborative innovation networks in different urban agglomerations has received less attention.Based on the data of cross-city co-authored papers,joint application for invention patents,and inter-provincial technology transactions,this paper compares the network structure and spatial characteristics of synergy innovation in Beijing-Tianjin-Hebei region,the Yangtze River Delta urban agglomeration and the Guangdong-Hong Kong-Macao Greater Bay Area.The study finds that the overall characteristics of knowledge innovation cooperation network and patent technology cooperation network of the three urban agglomerations are unified,and the indicators of the Guangdong-Hong Kong-Macao Bay Area ranks first.But their subgroup division and spatial layout are different.Beijing and Shanghai are technology output destinations,and Guangdong becomes absorption location for Beijing and Shanghai's technology output benefiting from the favorable conditions for technology transformation.In order to further improve the level of collaborative innovation of the three major urban agglomerations,it is necessary to focus on solving the problem of unbalanced collaborative innovation among cities,give full play to the radiating and driving role of core node cities,and optimize and improve the soft and hard supporting environment.
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