JRS 刘敏 等 | 中国农村电子商务的空间聚集：对淘宝村的实证研究【转】
*中文标题和摘要系简单翻译，可能存在部分错误，请以英文为准
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摘要：
在过去的十年中，中国的农村电子商务发展迅速，并且在某些地区显示出明显的空间聚集。本文研究了这种发展并调查了影响其空间聚集的因素。淘宝村的发展就是一个典型的例子，反映了农村电子商务在农村的快速发展和空间聚集。因此，以2017年之前在中国存在的所有淘宝村为样本，进行实证分析。考虑到中国缺乏涉及长期和大规模观测的村级数据，我们创新地结合了阿里巴巴的报告数据、地理信息系统技术的空间数据、网络爬虫技术的公司数据以及遥感技术的夜间照明数据量化每个样本村的感兴趣因素。最终，基于6年中2266个村庄的数据的随机效应概率模型和基于2092个村庄的横截面数据的负二项式模型的一致结果表明，农村电商在村一级的空间聚集主要受当地工业基础和邻里效应的驱动。有趣的是，村庄所处的周边地区的社会经济状况显着影响了农村电子商务的空间集聚，并呈现出它们之间的非线性关系，但村庄本身的当地社会经济状况并未对其产生重大影响。本文以促进农村电子商务空间聚集的政策含义作为结束。
Abstract
China's rural e-commerce has been developing quickly over the last decade, and it has shown significant spatial aggregation in some areas. This paper examines this development and investigates factors that impact its spatial aggregation. The development of Taobao Villages is a typical example that reflects the fast development and spatial aggregation of rural e-commerce in villages. Thus, all the Taobao Villages that existed in China by 2017 are used as our research sample for the empirical analysis. Considering that village-level data involving long-term and large-scale observations are lacking in China, we innovatively combine report data from Alibaba, spatial data from Geography Information Systems technology, company data from web crawler technology and nighttime light data from remote sensing technology to quantify the factors of interest for each sample village. Ultimately, the consistent results of a random-effects probit model based on data about 2266 villages across six years and a negative binominal model based on cross-section data of 2092 villages demonstrates that the spatial aggregation at village-level with regard to rural e-commerce is significantly driven by the local industrial base and neighborhood effects. Interestingly, the socioeconomic conditions of the surrounding regions that villages locate in impact the spatial aggregation of rural e-commerce significantly and it presents non-linear relationship between them, but the local socioeconomic conditions of villages per se do not present significant impacts on it. This paper concludes with the policy implication for the promotion of spatial aggregation of rural e-commerce.
原文链接（点击“阅读原文”跳转）：
http://doi.org/10.1016/j.jrurstud.2020.10.016
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