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本文采用全局Moran’s I指数、局部自相关LISA分布图,对京津冀区域经济增长的空间关联性进行实证分析,同时采用网络分析法,建立两两区域VAR模型,构建京津冀区域经济增长空间关联网络,剖析京津冀各城市间经济联系强度。研究发现,京津冀人均GDP呈现较为明显的空间集聚特征,但集聚效应整体偏弱,各城市间的分工特点不够明显;京津冀每个城市在空间上是普遍联系的,但各城市空间关联的紧密程度总体偏低,经济协作与产业分工尚有很大的提升空间。为进一步密切京津冀各城市间的内在经济联系,应提升产业分工层次和水平,巩固提升“京津唐”发展轴,增强区域中心城市对非首都功能的承接能力,构建综合立体交通网络。
In this paper, we use the global Moran’s I index and the LISA distribution of local autocorrelation to empirically analyze the spatial correlation of the economic growth in Beijing-Tianjin-Hebei region. At the same time, using the network analysis method, we establish a two-region VAR model to build the regional economic growth space Related network, analyzing the strength of economic ties between Beijing, Tianjin and Hebei cities. The study found that the per capita GDP of Beijing, Tianjin and Hebei shows more obvious characteristics of spatial agglomeration, but the overall agglomeration effect is weak and the division of labor among cities is not obvious enough. Each city of Beijing, Tianjin and Hebei is universally connected in space, but the urban space The overall relevance of the low level of closeness, economic cooperation and industrial division there is still much room for improvement. In order to further enhance the economic ties between the cities of Beijing, Tianjin and Hebei, it is necessary to enhance the level and level of industrial division of labor, consolidate and enhance the development axis of “Beijing, Tianjin and Tangshan”, enhance the capacity of regional central cities to undertake non-capital functions, and build comprehensive three-dimensional transportation The internet.