复合邻近条件下大城市的区域吸收能力

发布时间：2018-06-13 09:40

  本文选题：区域吸收能力 + 邻近性　； 参考：《科学学研究》2017年05期

【摘要】：区域间的知识流动逐步发展成为在空间层面上配置创新资源、推进国家创新一体化的重要支撑。利用2008-2014年城市间专利权转移的来源地-目的地"流数据",避免专利引文研究的文献分析缺陷,应用空间交互模型,在区域层面上把单一地理邻近性扩展为包含技术总体水平邻近、技术结构类别邻近和制度邻近的复合邻近性,对城市个体虚拟变量进行回归参数估计,计算得到中国大城市的区域吸收能力水平。实证结果表明,1000-1500公里之间存在着我国知识流动中空间相互作用的临界点,技术邻近性在总体水平和结构类别两个维度上对知识流动的促进作用得到验证,高吸收能力城市呈现出圈带状集聚的空间特征。
[Abstract]:The flow of knowledge between regions has gradually developed into an important support for the spatial allocation of innovative resources and the promotion of national innovation integration. Using the "stream data" of origin and destination of patent transfer between cities from 2008 to 2014, to avoid the defects of literature analysis in patent citation research, and to apply spatial interaction model, At the regional level, the single geographic proximity is extended to include the general level proximity of technology, the proximity of the technical structure category and the proximity of the system, and the regression parameter estimation of the individual virtual variables of the city is carried out. The regional absorptive capacity of large cities in China is calculated. The empirical results show that there is a critical point of spatial interaction between 1000-1500 km in knowledge flow in China, and the contribution of technological proximity to knowledge flow in two dimensions of overall level and structural category has been verified. High absorptive capacity cities show the spatial characteristics of zonal agglomeration.
【作者单位】： 南开大学经济学院;南开大学经济与社会发展研究院;
【基金】：国家社科基金资助项目(15BJL100) 天津市高等学校人文社会科学研究项目(20142407) 中国特色社会主义经济建设协同创新中心
【分类号】：F124.3
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本文编号：2013575