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我国沿海三大城市群创新地理格局及其驱动因素

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基于2004-2022年我国京津冀、长三角和珠三角沿海三大城市群48个地级及以上城市的专利申请数据,对沿海三大城市群的创新分布格局及其驱动因素进行探索性空间分析,结果发现:创新相对水平(人均专利申请量)由高到低依次为:珠三角、长三角和京津冀;创新空间分布上,长三角均衡度最高,呈多中心引领发展态势,珠三角各城市创新差距较小,呈梯度式多中心格局,京津冀"京津"断层式极化现象有微弱改善,但仍持续突出;驱动因素上,"社会过滤"条件在沿海三大城市群均具有积极的促进作用,研发投入及其溢出效应存在地区异质性,此外,城市经济属性也在不同程度地影响着城市群的创新发展.
Geographical Pattern of Innovation in the Three Major Coastal Urban Agglomerations and its Driving Factors
Based on the patent application data of 48 prefecture-level and above cities in the three major coastal urban agglomerations of Beijing-Tianjin-Hebei,Yangtze River Delta and Pearl River Delta from 2004 to 2022,this paper conducts an exploratory spatial analysis of the innovation distribution pattern and its driving factors of the three major coastal urban agglomerations.The results show that:The relative level of innovation(the number of patent applications per capita)from high to low is:Pearl River Delta,Yangtze River Delta and Beijing-Tianjin-Hebei.In terms of spatial distribution of innovation,the Yangtze River Delta has the highest degree of equilibrium,showing a trend of multi-center development.The innovation gap of the cities in the Pearl River Delta is small,showing a"gradient"multi-center pattern;The"Beijing-Tianjin"fault polarization phenomenon in the Beijing-Tianjin-Hebei region has improved slightly,but it is still prominent.In terms of driving factors,the"social filter"condition plays a positive role in promoting the three major coastal urban agglomerations,and there is regional heterogeneity in R&D input and its spillover effect.In addition,urban economic attributes also affect the innovative development of urban agglomerations to varying degrees.

City ClusterGeographic Distribution of InnovationSocial FilterSpillover Effect

任建辉、易金凤、张敏

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山西财经大学资源型经济转型发展研究院 太原 030006

山西大学管理与决策研究所 太原 030006

苏州大学商学院

苏州大学中国特色城镇化研究中心 苏州 215021

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城市群 创新地理分布 社会过滤 溢出效应

国家自然科学青年基金项目国家自然科学青年基金项目教育部人文社科青年基金项目

421011797200314021YJC790096

2024

区域经济评论
河南省社会科学院

区域经济评论

CHSSCD北大核心
ISSN:2095-5766
年,卷(期):2024.(3)
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