摘要
基于2015~2017年长三角地区23市的经济数据,本文运用引力模型和K-means聚类法从经济引力和产业类别角度分别对城市群进行划分。引力结果表明,近年来长三角城市群形成以上海、苏州、杭州、南京和宁波为中心的5个都市圈。其中,上海都市圈呈扇形分布,其余均成簇状。聚类结果显示,这23市可归为金融、零售等六类城市。此外,苏州圈具有明显的产业同构现象。基于此,文章从都市圈内部、外部和产业转移三个角度对长三角城市群的发展提出建议。
Based on the socioeconomic data of 23 cities in the Yangtze River Delta urban agglomeration from 2015 to 2017,this paper adopts the Gravity Model and K-means clustering method to classify metropolitan areas according to economic cohesion and industrial specialisation.The measurement of economic mass and distance follows existing methods in the field,and the selection of category number follows the Elbow Method.In this heuristic approach to pick the number of clusters,an elbow-shaped objective function reflects the sharp diminishing return of the addition of a cluster.We use these techniques to construct a representative industrial-analysis model to explain clustering results and illustrate industrial isomorphism.The results show that the Yangtze River Delta urban agglomeration consists of five metropolitan areas with Shanghai,Suzhou,Hangzhou,Nanjing and Ningbo as their respective centers.The Shanghai metropolitan region is fan-shaped while others are clustered.Moreover,the activity of all cities can be classified into six types(including financial and retail).The only metropolitan region to face an excessive degree of industrial isomorphism is that of Suzhou.Suggestions are put forward for the development of the Yangtze River Delta urban agglomeration from the perspective of qualitative and quantitative transfers of industrial activity in metropolitan areas.
出处
《浙江金融》
2021年第2期64-74,63,共12页
Zhejiang Finance
作者简介
许静涵(1999-),女,北京人,西交利物浦大学,金融数学专业;林礼娜(1999-),女,福建厦门人,利物浦大学,金融数学专业;武义天(1999-),男,安徽合肥人,利物浦大学,金融数学专业;张德威(1997-),男,河南兰考人,西交利物浦大学,应用数学专业;Pascal Grange(1977-),男,法国人,西交利物浦大学讲师,数学系;袁玲龙(1984-),男,浙江舟山人,利物浦大学讲师,数学系。
