Spatial linkage and integrated driving pathways of high-quality rural e-commerce development in the context of digital villages in China

This study investigates the high-quality development of rural e-commerce in China, focusing on its role in bridging the urban-rural divide and supporting rural revitalization in the context of digital village initiatives. Using data from 31 provinces (2018–2022), we assess the development levels, spatial linkages, and key drivers of rural e-commerce. Employing a combination of game-theoretic weighting, a modified gravity model, social network analysis, and fuzzy-set qualitative comparative analysis (fsQCA), the study identifies significant regional disparities in e-commerce development. Key drivers include infrastructure, technology, and policy, with central provinces such as Henan and Shandong playing pivotal roles, while peripheral regions face challenges due to lower digital integration. The study highlights two primary pathways for development: one driven by infrastructure and productivity improvements, and the other by technological innovation. These findings offer policy recommendations for enhancing regional collaboration and reducing the urban-rural divide through targeted investments in infrastructure and digital integration.

Authors

Institutions

Publication Details

Journal
Frontiers in Sustainable Food Systems
Published
2025-05-29
DOI
https://doi.org/10.3389/fsufs.2025.1557395
Citations
2
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
4.89
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial linkage and integrated driving pathways of high-quality rural e-commerce development in the context of digital villages in China

Liang Hou, Bo Wen, Dan Shang, Yanan Wang et al.
2 citations
Frontiers in Sustainable Food Systems
E-commerce and Technology Innovations
4.89
article

Spatial linkage and integrated driving pathways of high-quality rural e-commerce development in the context of digital villages in China

Liang Hou, Bo Wen, Dan Shang, Yanan Wang, Fei Liu, Xue Wang, Xiaoxi Wang, Donghui Zhang
article en
2 citations

Abstract

This study investigates the high-quality development of rural e-commerce in China, focusing on its role in bridging the urban-rural divide and supporting rural revitalization in the context of digital village initiatives. Using data from 31 provinces (2018–2022), we assess the development levels, spatial linkages, and key drivers of rural e-commerce. Employing a combination of game-theoretic weighting, a modified gravity model, social network analysis, and fuzzy-set qualitative comparative analysis (fsQCA), the study identifies significant regional disparities in e-commerce development. Key drivers include infrastructure, technology, and policy, with central provinces such as Henan and Shandong playing pivotal roles, while peripheral regions face challenges due to lower digital integration. The study highlights two primary pathways for development: one driven by infrastructure and productivity improvements, and the other by technological innovation. These findings offer policy recommendations for enhancing regional collaboration and reducing the urban-rural divide through targeted investments in infrastructure and digital integration.

Frontiers in Sustainable Food SystemsVol. 9
Hebei University of Economics and Business (CN), China Academy of Space Technology (CN), Hebei Academy of Agriculture and Forestry Sciences (CN), Hebei Provincial Department of Science and Technology (CN), Hebei Science and Technology Department (CN), Hebei GEO University (CN)
Openalex Percentile: Top 6%
E-commerce and Technology Innovations
4.89
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.