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中国电子商务发展的时空演变与收敛模式:区域差异及政策启示

Spatio-temporal evolution and convergence patterns of E-commerce development in China: Regional disparities and policy implications.

作者信息

Wu Yuhuan, Wang Haisong, Guo Daqun, Li Yan, Zhang Hang, Shan Tianyuan

机构信息

Department of Economics and Trade, Hebei University of Water Resources and Electric Engineering, Cangzhou, Hebei, China.

出版信息

PLoS One. 2025 Aug 29;20(8):e0330066. doi: 10.1371/journal.pone.0330066. eCollection 2025.


DOI:10.1371/journal.pone.0330066
PMID:40880456
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12396765/
Abstract

The rapid development of e-commerce has become a key driver of economic transformation and regional development in China. However, significant spatial and temporal disparities persist across regions. Understanding these disparities is essential for promoting balanced growth and maximizing the potential of e-commerce in fostering regional economic integration. However, existing studies often focus on isolated temporal trends or spatial patterns, lacking a comprehensive analysis that integrates spatial-temporal dynamics and examines the convergence trends of e-commerce development. This study aims to address these gaps by investigating the spatial-temporal distribution characteristics of e-commerce in China and assessing its convergence trends across different regions. This study utilizes panel data from 31 Chinese provinces spanning the period 2013-2023, employing spatial statistical methods, σ-convergence and β-convergence models, and regression analysis to identify the key factors influencing the observed disparities. The study finds that China's e-commerce development is characterized by significant regional differences, the coexistence of polarization and low density, and different regional convergence trends in different regions, which provides an important theoretical basis for formulating differentiated development strategies, strengthening cross-regional infrastructure synergies, and digital technology innovation.

摘要

电子商务的快速发展已成为中国经济转型和区域发展的关键驱动力。然而,各地区在空间和时间上仍存在显著差异。了解这些差异对于促进均衡增长以及最大限度发挥电子商务在推动区域经济一体化中的潜力至关重要。然而,现有研究往往侧重于孤立的时间趋势或空间模式,缺乏将时空动态相结合并考察电子商务发展趋同趋势的全面分析。本研究旨在通过调查中国电子商务的时空分布特征并评估不同地区的趋同趋势来填补这些空白。本研究利用了2013年至2023年期间中国31个省份的面板数据,采用空间统计方法、σ趋同和β趋同模型以及回归分析来确定影响观察到的差异的关键因素。研究发现,中国电子商务发展具有显著的区域差异、极化与低密度并存以及不同地区呈现不同的区域趋同趋势,这为制定差异化发展战略、加强跨区域基础设施协同效应和数字技术创新提供了重要的理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d2/12396765/8aebda4126cd/pone.0330066.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d2/12396765/142556df0506/pone.0330066.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d2/12396765/dd37ff2158a2/pone.0330066.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d2/12396765/cba170369c13/pone.0330066.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d2/12396765/9ad5d723cae0/pone.0330066.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d2/12396765/8aebda4126cd/pone.0330066.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d2/12396765/142556df0506/pone.0330066.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d2/12396765/dd37ff2158a2/pone.0330066.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d2/12396765/cba170369c13/pone.0330066.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d2/12396765/9ad5d723cae0/pone.0330066.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78d2/12396765/8aebda4126cd/pone.0330066.g005.jpg

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本文引用的文献

[1]
A spatial autocorrelation analysis of road traffic crash by severity using Moran's I spatial statistics: A comparative study of Addis Ababa and Berlin cities.

Accid Anal Prev. 2024-6

[2]
Spatial autocorrelation equation based on Moran's index.

Sci Rep. 2023-11-7

[3]
Effects of Background Fitting of e-Commerce Live Streaming on Consumers' Purchase Intentions: A Cognitive-Affective Perspective.

Psychol Res Behav Manag. 2023-1-19

[4]
An analytical process of spatial autocorrelation functions based on Moran's index.

PLoS One. 2021

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