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中国淘宝镇的空间格局特征及其影响因素 被引量:33

Spatial Pattern Characteristics and Influencing Factors of Taobao Town in China
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摘要 以阿里研究院提供的2015年电子商务发展指数和淘宝镇空间分布数据为基础,运用最邻近距离、标准差椭圆和空间自相关等分析方法,对中国淘宝镇的空间格局特征及影响因素进行了探讨。研究发现:(1)淘宝镇目前主要集中在东部沿海六省,呈南北向条带状分布格局,以长三角、珠三角、潮汕和闽东南等地区最为集中,与当地经济活跃程度有密切关系。(2)淘宝镇的空间分布与县域网商水平有着较高相关性,表现为县域内企业应用电子商务的能力越强,则县域内淘宝镇的数量与规模越大。(3)淘宝镇发展还受到产业基础、基础设施、商业文化和海外市场等多方面的影响。淘宝镇是我国中小城镇在信息时代背景下发展出来的一种新模式,相关研究有助于把握其空间特征和规律,有助于合理推进这一新型城镇发展模式。 Based on the datas of E-commerce development index and spatial distribution of Taobao town in China in 2015, which provided by Ali Research Institute of Alibaba Group, this paper aims to reveal the spatial pattern characteristics and influencing factors of Taobao town in China, by means of using Nearest neighbor distance, standard deviational ellipse (SDE) and spatial autocorrelation analysis methods. The results show that: 1) Taobao town at present mainly concentrated in the eastern coastal six provinces, Which appears a north-south extent belt distribution pattern. Yangtze River Detta, the Peart River Delta, Chaoshatt and Southeast Fujian is most concentrated, which has a dose relationship with the local economy. 2) The spatial distribution of Taobao town has a higher correlation with county electronic retailing level. When the county has the stronger the ability of applying electronic commerce, the county has the more and bigger scale of the town of Taobao. 3) The development of Taobao town is also affected by the industrial base, infrastructure, business culture and overseas markets. Taobao town becomes a new development model for the development of medium and small towns in China in the information age. It is good for Chinese new urbanization and promoting this new model.
作者 马海涛 李强 刘静玉 郭晓娜 刘梦丽 王芳 MA Haitao LI Qiang LIU Jingyu GUO Xiaona LIU Mengli WANG Fang(Key Laboratory of Regional Sustainable Development Modeling/Institute of Geographic Sciences and Natural Resources Research , Chincse Academy of Sciences , Beijing l O0101, China College of Environment and Planning , Henan University, Kaifeng 475004, Henar~, China School of Geographic Sciences, East China Normal University, Shanghai 200241, China)
出处 《经济地理》 CSSCI CSCD 北大核心 2017年第9期118-124,共7页 Economic Geography
基金 国家自然科学基金项目(71433008 41590842 41571151)
关键词 淘宝镇 信息化 电子商务发展指数 网络零售 中小城镇 中国 Taobao town informationization E-commerce development index online retailing medium and smalltowns China
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