Impact of Digital Technology Innovation on China's Industrial Gradient Patterns: Spatial Differentiation and Dynamic Comparison

ABSTRACT This study examines the new characteristics and multidimensional impacts of digital technology innovation on the regional industrial gradient shift in China. Through empirical analysis of a dataset at the prefectural level from 2008 to 2020, the research reveals that digital technology innovation has driven the outward relocation of midstream industries and the concentration of downstream industries in digital technology innovation hubs, with this effect strengthening over the sample period. Heterogeneity analysis further indicates that digital technology innovation not only facilitates the traditional coastal‐to‐inland gradient transfer but also introduces new pathways, such as hierarchical diffusion centred around urban clusters and network diffusion at transport hubs. Mechanism testing shows that digital technology innovation enhances innovation spillover effects and labour‐saving production process improvements, thereby providing impetus for industrial migration. This study expands the applicability of the traditional ‘flying geese’ theory and offers policy insights for developing countries in managing industrial layout under large‐scale economies.

Authors

Institutions

Publication Details

Journal
World Economy
Published
2026-02-23
DOI
https://doi.org/10.1111/twec.70063
Primary Topic
Regional Economics and Spatial Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Digital Technology Innovation on China's Industrial Gradient Patterns: Spatial Differentiation and Dynamic Comparison

Dawei Li, Rizwan Rasheed, Xu Shao
World Economy
Regional Economics and Spatial Analysis
article

Impact of Digital Technology Innovation on China's Industrial Gradient Patterns: Spatial Differentiation and Dynamic Comparison

Dawei Li, Rizwan Rasheed, Xu Shao
article en

Abstract

ABSTRACT This study examines the new characteristics and multidimensional impacts of digital technology innovation on the regional industrial gradient shift in China. Through empirical analysis of a dataset at the prefectural level from 2008 to 2020, the research reveals that digital technology innovation has driven the outward relocation of midstream industries and the concentration of downstream industries in digital technology innovation hubs, with this effect strengthening over the sample period. Heterogeneity analysis further indicates that digital technology innovation not only facilitates the traditional coastal‐to‐inland gradient transfer but also introduces new pathways, such as hierarchical diffusion centred around urban clusters and network diffusion at transport hubs. Mechanism testing shows that digital technology innovation enhances innovation spillover effects and labour‐saving production process improvements, thereby providing impetus for industrial migration. This study expands the applicability of the traditional ‘flying geese’ theory and offers policy insights for developing countries in managing industrial layout under large‐scale economies.

World Economy
University of Nottingham (GB), Wuhan Business University (CN), Government College University, Lahore (PK), Hubei University (CN)
Openalex Percentile: Top 34%
Regional Economics and Spatial Analysis
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.