大数据视角下特色电商小镇产业遴选与评价方法探究——以徐州市沙集小镇为例

Research on the Industry Selection and Evaluation Method of Characteristic E-commerce Town from the Perspective of Big Data: Taking Shaji Town of Xuzhou City as an Example

  • 摘要: 在特色小镇持续降温的大背景下,各地加快产业结构调整的步伐。选择和培育既适合本镇区经济发展基础和产业结构转型升级需要,又有发展潜力优势的产业,成为各地当前的紧迫任务。本文选择村镇中小型电商企业众多的特色电商小镇为研究对象,通过挖掘企业大数据研究这一类镇区优势产业的评价及遴选方法,探索一种基于大数据手段的普适性方法,以期为同类小镇提供有益思考。

     

    Abstract: Under the background of the continuous cooling of characteristic towns, the pace of industrial restructuring has been accelerated in all regions. It has become an urgent task to select and cultivate the advantageous industries which are not only suitable for the base of economic development as well as the transformation and upgrading of industrial structure, but also have development potential. This paper selects characteristic e-commerce towns with large number of small and medium-sized e-commerce enterprises as the research objects. By mining the evaluation and selection methods of enterprise big data research on the dominant industries in towns, this paper explores a method based on the universality of big data, hoping to provide beneficial thinking for similar towns.

     

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