C2C电子商务模式下中国“淘宝村”的空间聚集格局与影响因素
发布时间：2018-09-10 21:33
【摘要】：以2014年中国"淘宝村"分布数据为基础,基于ESDA空间数据挖掘理论,借助Arc GIS和Geo DA等分析工具,从不同空间尺度对"淘宝村"的分布格局和影响因素进行分析。结果表明:1"淘宝村"整体呈现组团状集聚格局,区际间差异较大,空间分布具有沿南北向扩散的格局;2"淘宝村"集聚区域呈现地域梯度和连片化特征,东南沿海的江苏、浙江、广东、福建等省分布密度较高,主要集聚核心地区从北向南依次为苏南聚集区、浙中聚集区、闽东南聚集区以及珠三角聚集区;3县域尺度"淘宝村"的空间分布具有正自相关性,HH和LH集聚区域呈现空间相邻和蔓延特征,集聚水平有进一步提升趋势;4商业文化传统、"专业村"的互联网化、邻近示范效应、产业集群协同效应以及社会组织的推动等是驱动"淘宝村"空间集聚与分异的主要因素。
[Abstract]:Based on the distribution data of Taobao Village in China in 2014, and based on the theory of ESDA spatial data mining, the distribution pattern and influencing factors of Taobao Village are analyzed from different spatial scales by means of Arc GIS and Geo DA. The results show that the whole "Taobao Village" of "Taobao Village" has a cluster pattern, and there are great differences among different regions. The spatial distribution has a pattern of spreading along the north-south direction. 2 the "Taobao Village" agglomeration area has the characteristics of regional gradient and continuous fragmentation, and Jiangsu and Zhejiang provinces along the southeast coast. Guangdong, Fujian and other provinces have a relatively high density of distribution, the main core areas from north to south are the southern Jiangsu accumulation area, the central Zhejiang gathering area, The spatial distribution of "Taobao Village" at county scale of "Taobao Village" in the gathering areas of southeast Fujian and Zhujiang River Delta has the characteristics of spatial contiguity and spread of positive autocorrelation of HH and LH agglomeration areas. The agglomeration level has the tendency to further promote the tradition of commercial culture, the Internet of "specialized village", the effect of proximity demonstration, the synergistic effect of industrial cluster and the promotion of social organization are the main factors that drive the spatial agglomeration and differentiation of Taobao Village.
【作者单位】： 东北师范大学地理科学学院 吉林师范大学旅游与地理科学学院
【基金】：国家社会科学基金项目(13CSH068) 吉林省教育厅社会科学项目(2016173)
【分类号】：F724.6
[Abstract]:Based on the distribution data of Taobao Village in China in 2014, and based on the theory of ESDA spatial data mining, the distribution pattern and influencing factors of Taobao Village are analyzed from different spatial scales by means of Arc GIS and Geo DA. The results show that the whole "Taobao Village" of "Taobao Village" has a cluster pattern, and there are great differences among different regions. The spatial distribution has a pattern of spreading along the north-south direction. 2 the "Taobao Village" agglomeration area has the characteristics of regional gradient and continuous fragmentation, and Jiangsu and Zhejiang provinces along the southeast coast. Guangdong, Fujian and other provinces have a relatively high density of distribution, the main core areas from north to south are the southern Jiangsu accumulation area, the central Zhejiang gathering area, The spatial distribution of "Taobao Village" at county scale of "Taobao Village" in the gathering areas of southeast Fujian and Zhujiang River Delta has the characteristics of spatial contiguity and spread of positive autocorrelation of HH and LH agglomeration areas. The agglomeration level has the tendency to further promote the tradition of commercial culture, the Internet of "specialized village", the effect of proximity demonstration, the synergistic effect of industrial cluster and the promotion of social organization are the main factors that drive the spatial agglomeration and differentiation of Taobao Village.
【作者单位】： 东北师范大学地理科学学院 吉林师范大学旅游与地理科学学院
【基金】：国家社会科学基金项目(13CSH068) 吉林省教育厅社会科学项目(2016173)
【分类号】：F724.6
【参考文献】
相关期刊论文 前10条
1 张作为;;淘宝村电子商务产业集群竞争力研究[J];宁波大学学报(人文科学版);2015年03期
2 吴昕晖;袁振杰;朱z，
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