中国城市群是否存在借用规模?

现有研究缺乏对城市群空间尺度下借用规模问题的关注。为弥补这一不足,论文基于2008—2019年地级以上城市数据,从功能和绩效维度对中国14个城市群借用规模的存在性,以及借用规模发生的空间条件和形成机制展开研究。结果表明：① 从城市群层面看,长株潭、珠三角、武汉、辽中南、哈长、北部湾和京津冀7个城市群存在借用规模;从城市层面看,大城市更有可能同时借用功能和借用绩效,即存在借用规模,而中小城市更有可能借用功能,成渝、中原、山东半岛、粤闽浙沿海和长三角5个城市群存在集聚阴影。② 借用规模更频繁发生于多中心结构的城市群,大、中、小城市均能通过嵌入多中心结构城市群实现借用功能,但只有中等城市和大城市可以在多中心结构城市群中实现借用绩效,多中心结构对中等城市借用功能和借用绩效的影响最为明显。③ 增强城市的地理邻近程度将会降低借用功能,但可以提高借用绩效;增强城市的网络关联程度可以提高借用功能和借用绩效;对于借用功能而言,网络关联与地理邻近之间存在替代效应,对于借用绩效而言,网络关联与地理邻近之间存在互补效应;网络关联对借用功能和借用绩效的促进作用仅在大城市中能够显现。

Is there a borrowed size in China’s urban agglomerations?

The existing research lacks attention to the borrowed size of cities in urban agglomerations. To fill this research gap, this study examined the existence, spatial conditions, and formation mechanism of borrowed size in 14 urban agglomerations of China from the dimensions of function and performance based on the data of cities above prefecture level in 2008-2019. The results show that: 1) Cities in seven urban agglomerations, namely, Chang-Zhu-Tan, Pearl River Delta, Wuhan, Central and Southern Liaoning, Harbin and Changchun, Beibu Gulf, and Beijing-Tianjin-Hebei regions, have borrowed size. Large cities are more likely to borrow function and borrow performance, that is, there is borrowed size, while small and medium cities are more likely to borrow function. Five urban agglomerations, namely, Chengdu-Chongqing, Central Plains, Shandong Peninsula, Guangdong-Fujian-Zhejiang Coast, and Yangtze River Delta regions, have agglomeration shadow. 2) Borrowed size occurs more frequently in urban agglomerations with polycentric structure. Large, medium, and small cities can borrow function by being embedded into urban agglomerations of polycentric structure, but only medium and large cities can borrow performance in urban agglomerations of polycentric structure. Polycentric structure has the most obvious impact on the borrowed function and borrowed performance of medium cities. 3) Enhancing the geographical proximity of cities will reduce the borrowed function, but can improve the borrowed performance. Enhancing the network relevance of cities can improve the borrowed function and borrowed performance. For borrowed function, there is a substitution effect between network relevance and geographical proximity, and for borrowed performance, there is a complementary effect between network relevance and geographical proximity. The stimulation of network relevance on borrowed function and borrowed performance can only be seen in large cities.