Based on the POI data of furniture enterprises in the whole industrial chain in the Pearl River Delta(PRD)region,this paper uses the spatial clustering algorithm of DBSCAN to identify and extract the spatial clustering clusters in the furniture industry,analyzes the overall characteristics,industrial chain structure characteristics,and hierarchical structure characteristics of spatial clustering in the furniture industry by the means of the kernel density estimation and the silhouette coefficient,and explores the driving forces of spatial clustering of furniture industry in the PRD region through the decomposition of spatial quotient index.The results show that:1)There are 7 main clusters of furniture industry in the PRD region,which shows the"multi-core and fan-shaped"spatial distribution and the hierarchical structure characteristics of"one main center and three sub-centers",with the main center located in Shunde and the sub-centers located in Houjie,Shaxi and Xiangzhou.2)The upstream enterprises of the furniture industry chain show the spatial clustering distribution characteristics of"two main centers and one sub-center",taking Shunde and Xiangzhou as the main centers and Doumen as the sub-center.The midstream and downstream enterprises show the spatial clustering distribution characteristics of"one main center and one sub-center",taking Shunde as the main center and Chancheng and Houjie as the sub-centers.3)Non-spatial factors better explain the spatial clustering of the overall furniture industry in the PRD region,with the degree of explanation reaching 80%,and gradually increasing with the rise of spatial distance.On the contrary,spatial factors dominate the spatial clustering of the upper,middle and lower reaches of the furniture industry chain,with an explanation degree of about 60%to 70%.4)The formation and evolution of spatial clustering of the furniture industry in each region of the PRD is influenced by spatial and non-spatial factors to varying degrees,spatial factors influencing the spatial clustering of the furniture industry in Guangzhou,Zhongshan and Jiangmen more prominently than that in other regions.
关键词
家具产业链/DBSCAN空间聚类/空间熵/等级结构/产业集群/供应链/珠三角地区
Key words
furniture industry chain/DBSCAN spatial clustering/spatial quotient/hierarchical structure/industrial cluster/supply chain/Pearl River Delta region
维普
万方数据