基于e-TSC指数的淘宝村集群网络交易时空特征研究*
Research on the e-Trading Spatial-temporal Characteristics of Taobao Village Clusters Based on e-TSC Index
周 静
苏州科技大学建筑与城市规划学院 副教授
于 立（通信作者）
苏州科技大学建筑与城市规划学院 特聘教授英国卡迪夫大学中英生态城市与可持续发展研究中心 主任
田 静
苏州科技大学建筑与城市规划学院
曾 越
苏州科技大学建筑与城市规划学院 硕士研究生
赵 越
苏州科技大学建筑与城市规划学院
王 帅
苏州科技大学建筑与城市规划学院 硕士研究生
摘要: 在国家乡村振兴政策不断聚焦、新一轮国土空间规划编制的关键时期，识别淘宝村发展的关键要素，有助于政府及相关部门制定乡村发展政策，实现土地、资金和人才等各类要素的高效配置。从时间、空间、价格3个维度构建“网络交易时空特征”指标，利用淘宝网电子商务平台数据，精细化识别并测度2020年全国28个典型淘宝村集群的网络交易时空特征，认为：①淘宝村集群在平台同类细分商品网络交易中的市场占比较高；②部分淘宝村集群的网络交易时间离散指数较高，交易时间离散分布活跃；③淘宝村集群并非以销售廉价商品为主，约50%淘宝村集群销售的商品价格超过平台上同类商品的平均价格。电子商务经济形成了更强的地理空间锁定效应。相比传统专业村镇，淘宝村集群正在成为更大规模商品专门化的生产—交易空间节点。
Abstract: Under the background of rural revitalization and national territory spatial planning, conducting systematic and in-depth research on Taobao Village development can help the government and management departments invest talents, funds, land and other resource elements more efficiently. Using Taobao e-commerce platform data, this paper measures the e-trading spatialtemporal characteristics of 28 typical Taobao Village clusters in China in 2020. The conclusions are as follows: Taobao Village clusters have a relatively high market share in the online transaction of similar subdivided commodities on the e-commerce platform (Taobao.com), and the e-Trading Space Cluster Index of 30% Taobao Village clusters is more than 0.5. Some Taobao Village clusters have a high dispersion index of online transaction time. Taobao Village clusters are not mainly about selling cheap goods. About 50% of the goods sold by Taobao Village clusters are more expensive than the average price of similar goods on the platform. This paper suggests that the e-commerce economy has formed a stronger lock-in effect in geographic space. Compared with traditional specialized villages and towns, Taobao Village clusters are becoming larger-scale productiontransaction spatial nodes with specialized commodities.
关键词：网络交易；淘宝村集群；e-TSC指数；时空特征
Keyword: e-trading space; Taobao Village cluster; e-TSC index; spatial-temporal characteristics
中图分类号：TU984
文献标识码: A
资金资助
国家自然科学基金项目 “电子商务对农村社会网络的影响及作用机制研究——以江苏‘淘宝村’为例” 51508365
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