Evidence map›Paper›PMID 40880456›Full record

ArticlePloS one2025

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

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

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yuhuan WuDepartment of Economics and Trade, Hebei University of Water Resources and Electric Engineering, Cangzhou, Hebei, China.
Haisong WangDepartment of Economics and Trade, Hebei University of Water Resources and Electric Engineering, Cangzhou, Hebei, China.ORCID 0009-0009-6440-3961
Daqun GuoDepartment of Economics and Trade, Hebei University of Water Resources and Electric Engineering, Cangzhou, Hebei, China.
Yan LiDepartment of Economics and Trade, Hebei University of Water Resources and Electric Engineering, Cangzhou, Hebei, China.
Hang ZhangDepartment of Economics and Trade, Hebei University of Water Resources and Electric Engineering, Cangzhou, Hebei, China.
Tianyuan ShanDepartment of Economics and Trade, Hebei University of Water Resources and Electric Engineering, Cangzhou, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CommerceEconomic DevelopmentChinaHumansSpatio-Temporal Analysis

Identifiers

PMID40880456
PMCPMC12396765

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.