广佛都市圈网络外部性的城镇借用规模绩效检验

在城市网络外部性的环境下,借用规模可以使城镇突破地理距离和规模等级限制,通过网络联系实现城镇经济的共同增长。基于理论辨析,以城市网络的借用规模效应为视角,检验网络外部性下城镇借用规模绩效对城镇经济增长的作用。在回顾网络外部性理论的基础上,以广佛都市圈城镇作为研究对象,首先利用偏离均值标准差倍数的方法解析区域绩效、集聚阴影等特征;其次,基于城镇规模、借用规模、交通网络通达性、科技创新外溢性对城镇经济增长的耦合作用,建立多元回归模型检验网络外部性的发生机制。研究发现：① 城镇既有人口规模越小,区域绩效值越低,10万人的人口规模是绩效特征的分界点,大于和小于10万人的城镇分别呈现出借用规模绩效和集聚阴影特征;② 基于新增注册企业数量和企业网络点度的区域绩效均呈现出较为明显的圈层式空间特征,且基于企业网络点度检验的空间分异特征更为突出;都市圈主城区近郊圈层城镇的绩效较明显,而主城区远郊圈层城镇的集聚阴影现象显著;③ 新增注册企业数的绩效与城镇既有规模关系最为紧密,与区域交通枢纽、借用规模、借用绩效、跨镇合作专利等解释变量的弹性系数依次降低;区域交通网络、技术合作网络的提升有利于促进城镇要素集聚,并通过网络外部性效应影响都市圈的城镇化发展。

Examining performance of urban borrowed size based on the towns′ network externalities of Guangzhou-Foshan metropolitan areas

In the context of urban network externalities, the borrowed size can empower towns to break through the restrictions of geographical distance and size, but realize the joint economic growth of cities and towns through network connections. By virtue of the theoretical analysis, this research examines, in the framework of network externalities, the role of urban borrowed-size performance on urban economic growth from the perspective of the borrowed-size effect of urban networks. Based on the review of network externalities theories, this research has taken towns in the Guangzhou-Foshan urban area as the object and firstly, adopted the deviation from the mean standard deviation multiplier method to investigate the features of regional performance and agglomeration shadows. Secondly, it established a multiple regression model to test the mechanism of network externalities, by incorporating the coupling effects of town size, borrowed size, transportation network accessibility, and science and technology innovation spillover, etc., on the economic growth of towns. The research has found that (1) with the population size of 100,000 as the cut-off point of performance characteristics, the smaller the existing population size of the town, the lower the value of regional performance, whereas towns with a population size greater or less than 100,000 showcase borrowed-size performance and agglomeration shadow respectively. (2) Regional performance based on the number of newly registered enterprises and enterprise network point degree demonstrate more notable circled spatial characteristics, and the spatial divergence based on the enterprise network point degree test is more prominent; the performance of the suburban near the main urban area is quite notable, while the agglomeration shadow phenomenon of the distant suburbs near the main urban area is more significant. (3) The performance of the number of newly registered enterprises is most closely related to the established size of the town, and the elasticity coefficients of such explanatory variables as regional transportation hub, borrowed size, borrowed-size performance and cross-town cooperation patent decrease decrease in order; besides, the improvement of regional transportation networks and technical cooperation channels is conducive to promoting the agglomeration of urban factors and influencing the urbanization development of urban areas with network externalities effects.