Digital infrastructure and intra-provincial balanced development: Evidence from China’s provincial panel data

Unbalanced regional development poses a significant challenge to global economic growth. While existing studies have primarily concentrated on disparities between provinces, there is a notable lack of research addressing regional imbalances within a single province. In this paper, we use urban-level indicators to assess the level of intra-provincial regional balanced development in China. Based on provincial panel data from 2013 to 2022, we examine the impact of digital infrastructure on balanced regional development. We find that digital infrastructure significantly promotes balanced regional development using a fixed-effect regression model. This conclusion still holds after a series of robustness tests including instrumental variables, considering variable lag effects. Then we identify technological innovation and industrial structure upgrading as the primary mechanisms driving this relationship. Heterogeneity analysis reveals that the impact of digital infrastructure on balanced provincial development is more pronounced in regions with higher levels of urbanization, whereas the heterogeneity associated with financial development levels is statistically insignificant. Based on these findings, the paper offers policy recommendations aimed at leveraging digital infrastructure to further empower balanced development across provinces.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-06-09
DOI
https://doi.org/10.1371/journal.pone.0324132
Primary Topic
Fiscal Policy and Economic Growth
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital infrastructure and intra-provincial balanced development: Evidence from China’s provincial panel data

Tao Cen, Lingling Zuo, Shuping Lin
PLoS ONE
Fiscal Policy and Economic Growth
article

Digital infrastructure and intra-provincial balanced development: Evidence from China’s provincial panel data

Tao Cen, Lingling Zuo, Shuping Lin
article en

Abstract

Unbalanced regional development poses a significant challenge to global economic growth. While existing studies have primarily concentrated on disparities between provinces, there is a notable lack of research addressing regional imbalances within a single province. In this paper, we use urban-level indicators to assess the level of intra-provincial regional balanced development in China. Based on provincial panel data from 2013 to 2022, we examine the impact of digital infrastructure on balanced regional development. We find that digital infrastructure significantly promotes balanced regional development using a fixed-effect regression model. This conclusion still holds after a series of robustness tests including instrumental variables, considering variable lag effects. Then we identify technological innovation and industrial structure upgrading as the primary mechanisms driving this relationship. Heterogeneity analysis reveals that the impact of digital infrastructure on balanced provincial development is more pronounced in regions with higher levels of urbanization, whereas the heterogeneity associated with financial development levels is statistically insignificant. Based on these findings, the paper offers policy recommendations aimed at leveraging digital infrastructure to further empower balanced development across provinces.

PLoS ONEVol. 20(6)
Ningbo University (CN), University of Nottingham Ningbo China (CN), Ningbo University of Technology (CN)
Zhejiang Office of Philosophy and Social Science, Humanities and Social Science Fund of Ministry of Education of China
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Fiscal Policy and Economic Growth
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.