Journal of Agricultural Big Data >

2023 , Vol. 5 >Issue 4: 95 - 102

DOI: https://doi.org/10.19788/j.issn.2096-6369.230412

Analysis of China's Rural E-commerce Research Dataset

  • Cheng JIA ,
  • HongMei YI
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  • 1. School of Economics and Management, Shandong Agricultural University, Taian 271000, Shandong, China
    2. School of Advanced Agricultural Sciences, Peking University, Beijing 100081, China
    3. China Center for Agricultural Policy, Peking University, Beijing 100081, China

Received date: 2023-08-30

  Accepted date: 2023-10-10

  Online published: 2024-01-05

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Abstract

This study reviewed the data used in the studies on rural e-commerce in China. The rural e-commerce data are divided into two types of datasets based on the characteristics of targeted e-commerce interventions and agricultural product trading locations. The first dataset includes databases on comprehensive demonstration of e-commerce in rural counties, and Taobao Villages and e-commerce index. The second dataset involves databases on e-commerce of agricultural products, and cross-border e-commerce agrarian products. We presented the data sources, the definition of related indicators, and the time span of each dataset, and analyze the pros and cons of each data in answering the related research topics. This systematic review can be a benchmark for researchers interested in rural e-commerce to understand the data and assess the related studies using these datasets.

Key words： rural e-commerce in China; dataset; sample; indicators

Cite this article

Cheng JIA , HongMei YI . Analysis of China's Rural E-commerce Research Dataset[J]. Journal of Agricultural Big Data, 2023 , 5(4) : 95 -102 . DOI: 10.19788/j.issn.2096-6369.230412

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