摘要
在京津冀协同发展、经济产业结构优化的背景下,产业集群成为重要的经济组织现象。作为影响经济发展的支柱产业,物流也向规模化、专业化集聚,通过运用K-Means模型,根据物流产业集聚特征选取固定资产、出口总额、社会消费品零售总额等六个指标把京津冀区域分为五个类簇,重点探讨了2020年国内京津冀地区物流产业集聚情况,发现京津冀地区物流产业呈现强烈的地理分布非均衡性,同时也展现出产业发展的空间关联性的结论,并结合该现象为促进京津冀协同发展提出相应建议。
Under the background of coordinated development of Beijing-Tianjin-Hebei region and optimization of economic and industrial structure,industrial cluster has become an important economic organization phenomenon.As a pillar industry of affect economic development,the logistics also agglomerate to scale and specialization,by means of K-Means model,according to the logistics industrial agglomeration features of fixed assets,total exports,total retail sales of social consumer goods six indexes,the study divides the Beijing-Tianjin-Hebei region into five types of clusters,and probes into the Beijing-Tianjin-Hebei logistics industry agglomeration in 2020.It is found that the logistics industry presents a strong imbalance in geographical distribution,and also shows the spatial relevance of industrial development.Based on this phenomenon,corresponding suggestions are put forward to promote the coordinated development of Beijing-Tianjin-Hebei region.
作者
梁晨
郗悦
杨荷芬
LIANG Chen;XI Yue;YANG Hefen
出处
《商业经济》
2022年第5期50-51,83,共3页
Business & Economy
基金
北京市社会科学基金项目:产业转移下的京津冀物流系统动态协同路径研究(17GLB020)。
关键词
京津冀物流产业集聚
K-Means模型
集聚分析法
Beijing-Tianjin-Hebei logistics industry agglomeration
K-Means model
aggregate analysis
