GEOGRAPHICAL RESEARCH ›› 2019, Vol. 38 ›› Issue (12): 2997-3009.doi: 10.11821/dlyj020190098

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Spatial characteristics and influencing factors of E-shopping development in China's counties

SONG Zhouying1,2,3, YU Yang1,2,3, ZHU Qiaoling1,2,3, CHE Shuyun1,2,3   

  1. 1. Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, China
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-01-29 Revised:2019-05-06 Online:2019-12-20 Published:2019-12-25


It is now widely accepted that the world is moving rapidly into the information age and electronic commerce is a major component of this historic transformation. As the most important part of the electronic commerce, E-shopping has been expanding in the last decade, which has pushed forward China into the stage of nationwide online shopping. In recent years, the development of E-shopping is in its heyday, and the research of online shopping and online consumption became more and more popular. County is the new growth point of China's E-shopping and online consumption, but the relevant research is still very deficient. Under this background, based on data from Alibaba Group, this paper tries to analyze the spatial pattern of E-shopping development in China's county applying spatial autocorrelation method, and then discusses its impact factors using Geodetector method. The results show that: (1) The development of E-shopping declined from southeastern coastal counties to the inland counties. On one hand, the counties with high SI concentrated in coastal China, especially in Jiangsu and Zhejiang provinces. There are some high SI counties located along the strips extending from eastern coastal region to north China, and few high SI counties are scattered in inland China. On the other hand, the counties with low SI are concentrated in southwestern and northeastern China. (2) Geodetector results show that, the first-level significant influencing factors of counties' E-shopping pattern are the development of E-business (bi), regional urbanization (urb) and resident income (inc); the second-level factors are population education level (edu), regional information development level (ict) and local logistic system (lgt); while other factors have negligible impacts. (3) There are notable differences in the main influencing factors of county's E-shopping level in different regions. Except that regional urbanization (urb) and population education level (edu) are the main influencing factors of all counties in China, counties in Central China are also impacted by resident income (inc) and regional information development level (ict); counties in Western China are also impacted by local logistic system (lgt), economic development (eco) and local retail industry (ret); counties in Eastern China are also impacted by local E-business (bi). Overall, with the decline of county's SI value from Eastern to Western China, the impact of regional urbanization (urb) and population education level (edu) has increased, while the impact of resident income (inc), local logistic system (lgt), information development level (ict) and local E-business (bi) has decreased.

Key words: county-level, E-shopping, spatial pattern, impact factors, policy implication