Economic Growth Spatial Correlation Networks in the Three Major Urban Agglomerations
摘要: 本文研究对象为长三角城市群、京津冀城市群和珠三角城市群,借助格兰杰因果检验及网络分析法,对比分析了2000—2020年三大城市群经济增长空间关联网络的关联关系和关联特征,并分析了各城市群内部的动力传导机制。主要结论有:(1)三大城市群内部各城市之间的经济增长空间关联程度都不高;(2)长三角城市群拥有最为完整的板块分布,珠三角城市群、京津冀城市群板块分布分别为双溢出双受益、三溢出一受益;(3)长三角城市群和京津冀城市群增长原动力为“资本溢出型”,而珠三角城市群的增长原动力为“劳动溢出型”。
Abstract: Utilizing the Granger causality test and network analysis method, this article comparatively analyzes the correlation relationships and characteristics of the economic growth spatial correlation networks of three major urban agglomerations from 2000 to 2020, namely, the Yangtze River Delta urban agglomeration, the Beijing-Tianjin-Hebei urban agglomeration, and the Pearl River Delta urban agglomeration. The article also examines the dynamic transmission mechanisms within each urban agglomeration. The main conclusions are as follows: (1) The economic growth spatial correlation degrees are not high among cities within the three major urban agglomerations; (2) The Yangtze River Delta urban agglomeration has the most complete plate distribution, while the Pearl River Delta urban agglomeration and Beijing-Tianjin-Hebei urban agglomeration have the plate distribution model of dual overfl ow with dual benefi t, and triple overfl ow with single benefi t respectively; (3) The economic growth in the Yangtze River Delta and Beijing-Tianjin-Hebei urban agglomerations is driven by the “capital overfl ow” model, while that in the Pearl River Delta urban agglomeration is pushed by the “labor overflow” model.
[V1] | 2024-10-22 15:51:25 | PSSXiv:202410.02019V1 | 下载全文 |
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