长江经济带城市群要素集聚能力差异的比较研究

城市群作为当前区域发展的主要空间载体,在区域发展竞争中扮演着越来越重要的角色。论文结合互联网大数据抓取等手段,以长江经济带5个城市群为研究对象,对城市群间要素集聚能力差异进行比较研究,发现：① 长江经济带城市群间要素集聚能力差异与长江经济带社会经济发展的区域差异相吻合,城市群要素集聚格局呈现出由东向西梯度衰减的分布特征;② 城际层面要素集聚能力差异的两极分化现象显著,以城市群首位城市为中心的要素集聚“核心—边缘”空间结构特征较为鲜明;③ 长江经济带城市群内科技创新、对外开放、金融等要素的集聚格局具有明显的差异分化和集聚分布指向特征;④ 长江经济带城市(群)要素集聚能力等级规模结构分布总体符合位序-规模法则,可分为“均衡型”和“离散型”2种类型,首位城市要素集聚首位度随城市群要素集聚能力高低呈现出“两端高、中间低”的特征。

A comparative study on the differences of factors aggregating ability among urban agglomerations in the Yangtze River Economic Belt

As the main spatial carrier of regional development, urban agglomerations play an increasingly important role in regional development competition. This study took five urban agglomerations in the Yangtze River Economic Belt as the research object and used the Internet big data and other means to analyze their differences of factors aggregating ability and spatial patterns of factors aggregation. The main conclusions are as follows: 1) The difference in the factors aggregating ability between urban agglomerations in the Yangtze River Economic Belt is very significant. This difference is consistent with the regional differences in the level of social and economic developments within the Yangtze River Economic Belt. The agglomeration pattern of factors is characterized by a gradient from east to west. 2) The difference in factors aggregating ability between cities shows the characteristics of polarization, and the core-periphery spatial structure of factors agglomeration of the urban agglomerations is distinct. 3) In the Yangtze River Economic Belt the spatial agglomeration patterns of factors such as technological innovation, opening up, and finance show clear differentiation and centralized distribution features. 4) The rank-size structure distribution of factors aggregating ability of the five urban agglomerations in the Yangtze River Economic Belt is in line with the Zipf's law, and can be divided into two types: balanced and discrete. The relationship between the primacy ratio of urban agglomeration and factors aggregating ability of urban agglomerations presents a relationship of "high at both ends and low in the middle".