Digital divide or dividend? Exploring the impact of digital economy on regional gaps of high-quality economic development in China using relational data model

Achieving high-quality economic development (HED) necessitates coordinated regional development, with the digital economy (DE) serving as a key driver. This study investigates the spatial correlation and regional disparities in HED, emphasizing the role of the digital divide. Using provincial-level data from China spanning 2014 to 2021, the findings reveal weak spatial correlation in HED across provinces but significant spatial spillover effects. Economically developed provinces occupy central positions in the HED network, while less developed western regions remain on the periphery and primarily benefit from network externalities. Regional disparities in both DE and HED continue to widen, with the growing DE gap—particularly the third-level digital divide—exacerbating HED inequalities. This effect is most pronounced in eastern China but lacks statistical significance in central and western regions. Compared to the period of rapid economic growth, the influence of DE disparities on HED gaps has weakened in the high-quality development period. These findings provide valuable insights for bridging the digital divide, promoting DE, and fostering coordinated regional development.

Authors

Institutions

Publication Details

Journal
International Review of Economics & Finance
Published
2025-05-30
DOI
https://doi.org/10.1016/j.iref.2025.104222
Citations
12
Primary Topic
Fiscal Policy and Economic Growth
Type
article
Field-Weighted Citation Impact
37.57
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital divide or dividend? Exploring the impact of digital economy on regional gaps of high-quality economic development in China using relational data model

Guoxuan Ding, Yiran Dong, Shuai Long, Xiaoyan Fan et al.
12 citations
International Review of Economics & Finance
Fiscal Policy and Economic Growth
37.57
article

Digital divide or dividend? Exploring the impact of digital economy on regional gaps of high-quality economic development in China using relational data model

Guoxuan Ding, Yiran Dong, Shuai Long, Xiaoyan Fan, Jiajun Yan
article en
12 citations

Abstract

Achieving high-quality economic development (HED) necessitates coordinated regional development, with the digital economy (DE) serving as a key driver. This study investigates the spatial correlation and regional disparities in HED, emphasizing the role of the digital divide. Using provincial-level data from China spanning 2014 to 2021, the findings reveal weak spatial correlation in HED across provinces but significant spatial spillover effects. Economically developed provinces occupy central positions in the HED network, while less developed western regions remain on the periphery and primarily benefit from network externalities. Regional disparities in both DE and HED continue to widen, with the growing DE gap—particularly the third-level digital divide—exacerbating HED inequalities. This effect is most pronounced in eastern China but lacks statistical significance in central and western regions. Compared to the period of rapid economic growth, the influence of DE disparities on HED gaps has weakened in the high-quality development period. These findings provide valuable insights for bridging the digital divide, promoting DE, and fostering coordinated regional development.

International Review of Economics & FinanceVol. 101
Peking University (CN), Xi'an Jiaotong University (CN)
Decent work and economic growth
Openalex Percentile: Top 0%
Fiscal Policy and Economic Growth
37.57
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.