Abstract: Based on the data of “Taobao Village” in 2015, we used spatial analysis and logical deduction to start our research. Firstly, we analyzed its spatial distribution and spatial organization pattern, and inferred that “Taobao Village” should have geographic embeddedness. Secondly, we used the cost-price analysis confirmed their geographic embeddedness; in the finally part, we found out the source of its geographic embeddedness is the industry embeddedness of “Taobao Village” products’ . This study found: at the six levels about nation, province, city, county and rural area, the distributions of “Taobao Village” all are uneven and have obvious cluster characteristic; the spatial organization patterns of online shopping involve two space forms, two flows and five main bodies; according to the access to products and the distribution of the producers, we summarized four spatial organization patterns of “Taobao Village”: Products produced and sold by sellers, products produced by their own village’s factories, Products produced by their surrounding villages and without professional market, Products produced by their surrounding villages and professional market offer them to sellers; products which Taobao villages sale are what have absolute advantage in their region or what are more competi1tive at their costs; the sources of “Taobao Village” products’ geographic embeddedness are natural embeddedness of “Taobao Village”, social embeddedness of “Taobao Village” and the combination embeddedness.