Size and growth dynamics of online stores: A case of China’s Taobao.com
作者：
Highlights：
• We use the system GMM estimator to analyze the size–growth relationship of 21,948 stores from 14 industries on Taobao.com.
• Data analysis shows that Gibrat’s law tends to be rejected and the smaller stores grow faster.
• The applicability of the law is contingent upon store age and size: it tends to hold for larger and older stores but fails for smaller and younger ones.
• We explain the size–growth relationship from the viewpoints of trust building and store survival.
摘要
•We use the system GMM estimator to analyze the size–growth relationship of 21,948 stores from 14 industries on Taobao.com.•Data analysis shows that Gibrat’s law tends to be rejected and the smaller stores grow faster.•The applicability of the law is contingent upon store age and size: it tends to hold for larger and older stores but fails for smaller and younger ones.•We explain the size–growth relationship from the viewpoints of trust building and store survival.
论文关键词：Consumer-to-consumer,Dynamic panel data model,Firm growth,Gibrat’s law,System GMM,Taobao
论文评审过程：Received 11 March 2015, Revised 5 April 2016, Accepted 9 April 2016, Available online 20 April 2016, Version of Record 20 April 2016.
论文官网地址：https://doi.org/10.1016/j.elerap.2016.04.005
