| E-commerce as a new way of economic activity in information age, which broke through the limit of time and space, not only achieved the exchange of information anytime and anywhere with customers, also improved management level of enterprises. At the same time, it profoundly affected and changed the people’s consumption behavior and way of life. This paper, on the basis of economic geography and geography information, analyzes the electronic commerce enterprise with B2C mode of the development and the perspective of geographical space and cyberspace of spatial expansion. On this basis, this paper researched features of space-time distribution of online store in the Tmall site from different dimensions and different levels, which used various spatial analysis methods, such as the variation coefficient, location entropy and spatial autocorrelation model. Proved that the online retail industry still follow the traditional economic geography theory, but also showed obvious difference, complexity and variability. Studies have shown that:(1) China’s B2C e-commerce enterprises has experienced a ferment germination, by adjusting started to slow development, high-speed growth to steady mature five basic stages. It can be seen that any kind of new form of economic activity is a process of constant change and development.B2C website appeared closure of business, mergers and acquisitions and all sorts of things, which not only reflect the fierce competition between the e-commerce enterprises, also perfect the e-commerce ecosystem. At the same time, it has produced a profound impact for the traditional mode of production and operation of offline enterprise. This view powerful proved that information technology has played a decisive role in the enterprise economic activity.(2) China’s B2C e-commerce enterprises is given priority to with horizontal extension in geographical space that performance for the construction of logistics base, opening the cross-border e-commerce and cultivating the rural service sites. The outstanding performance of cyberspace is the vertical expansion, specifically, including site operation mode transformation, product category and the mobile terminal market’s expansion. For example, Alibaba launched "thousand county wan village" program; Jingdong and dangdang realized from the vertical to the comprehensive, proprietary to proprietary+platform mode transformation. B2C e-commerce enterprises’development broke through the geographic space and the network space, mutual integration and development.(3) Online store in Tmall website has obvious geographical distribution. On the part of time dimension, Tmall store’s space distribution range is expanded, and the density increased. It has the strongest changes in the middle of Yangtze river and Yellow River and the southwestern region, where the provincial average annual growth rate is generally higher. On the part of the space dimension, the provincial overall spatial distribution level is not balanced, which shows decreased trend from the southeast coastal to northwest inland. At the same time, the provinces of northwest and northeast own the big spatial distribution difference, the high discrete degree, the strong connection. The eastern coastal provinces’internal space distribution characteristics are relatively balanced, the discrete degree is weak, for example Zhejiang province. In the city level, represented by provincial capital city, space distribution characteristics formed to Sue the Shanghai-Hangzhou urban agglomeration, Guangzhou urban agglomeration as the core, to the capital economic circle, Chengdu-Chongqing economic circle, Wuhan city circle as the main body of the "two nuclear three circle" pattern, which shows obvious level features.(4) In different spatial scales, Tmall store agglomeration features showed obvious difference, complexity and variability. In the provincial level, Tmall stores’Moran’s I index is significant in the global spatial agglomeration, and showed a gradual weakening trend. In local spatial agglomeration, the eastern coastal provinces is given priority to HH type, while most of the central and western provinces is given priority to stable LL type. In the cities level, Tmall stores’the spatial agglomeration is not obvious, but has a tendency to further strengthen. Local spatial agglomeration characteristics of imbalance, not only reflected in the regions, but also in the regional cities. Overall, relatively developed of southeast coastal areas, which the effect scope of spatial agglomeration significantly increased, and showed a greater integration development characteristics. The central and western regions, where the economy is relatively backward, significantly increased the LL and HL agglomeration type city and showed a strong spatial polarization characteristic.(5) Different categories of Tmall store assumed different location tendency and significant space difference. From the store by sector, mainly labor-intensive class stores such as shoesã€clothing and bags shop layout in the middle reaches of the Yellow River, the Yangtze river area, and is given priority to the eastern province of central cities or the typical characteristic industrial city, where internal space difference is significant. Mainly capital and technology intensive class the digital and home appliance stores that concentrated in the eastern coastal economic developed city, for example Shenzhen, Shanghai, Beijing, Hangzhou, Guangzhou. Mainly regional raw materials of food and tea liquor stores that the overall spatial distribution is widespread, but obviously tend to layout in southwest, northwest region. specialty shops has a distinct regional characteristic. Seen from space, the same kind of store’s location tendency and concentration is also different in the provinces and cities scope, which explained the overall distribution of the online store can’t fully reflect the location of its internal characteristics. |