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Empirical Research on the Spatial Distribution and Determinants of Regional E-Commerce in China: Evidence from Chinese Provinces

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  • Jinzhou Geng
  • Chenggang Li

Abstract

We study regional development of e-commerce in China by investigating the size of the e-commerce industry, its development across the different regions in China, and factors that have affected the e-commerce development. The factorial analysis extracts two factors from 21 variables: basic factors and innovation and digitization factors. The results show that basic conditions and the level of innovation and digitization have a significant impact on regional e-commerce, and comprehensive development levels based on these factors show heterogeneity in the concentration and distribution in China from east to west and south to north. Moreover, changes in spatial dependence are mainly due to basic conditions in internet development, the level of marketization, and skilled personnel. We discuss the policy implications of the findings.

Suggested Citation

  • Jinzhou Geng & Chenggang Li, 2020. "Empirical Research on the Spatial Distribution and Determinants of Regional E-Commerce in China: Evidence from Chinese Provinces," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(13), pages 3117-3133, October.
    • Handle: RePEc:mes:emfitr:v:56:y:2020:i:13:p:3117-3133
    DOI: 10.1080/1540496X.2019.1592749
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    Cited by:

    1. Małgorzata Dziembała, 2021. "The Enhancement of Sustainable Competitiveness of the CEE Regions at the Time of the COVID-19 Pandemic Instability," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
    2. Fan Wang & Mingfeng Wang & Shichen Yuan, 2021. "Spatial Diffusion of E-Commerce in China’s Counties: Based on the Perspective of Regional Inequality," Land, MDPI, vol. 10(11), pages 1-17, October.
    3. Yu, Biying & Tan, Jin-Xiao & Zhang, Shitong, 2024. "Uncertainties in the technological pathway towards low-carbon freight transport under carbon neutral target in China," Applied Energy, Elsevier, vol. 365(C).
    4. Ya Li & Zhanguo Wei, 2022. "Regional Logistics Demand Prediction: A Long Short-Term Memory Network Method," Sustainability, MDPI, vol. 14(20), pages 1-17, October.

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