Mechanisms and spatial effects of digital industry agglomeration on urban carbon emission intensity

Digital industry agglomeration significantly influences urban low-carbon development, with environmental effects that differ across agglomeration stages. This study analyzes panel data from 280 Chinese prefecture-level cities spanning 2009 to 2023 to assess the impact of digital industry agglomeration on urban carbon emission intensity. The empirical approach integrates nonlinear panel regressions, a nonlinear mediation model, and a spatial Durbin model to identify nonlinear, mediating, and spatial effects. The findings reveal a pronounced inverted U-shaped relationship between digital industry agglomeration and urban carbon emission intensity. Additionally, digital industry agglomeration exhibits a U-shaped effect on green technological innovation, indicating that the innovation effect initially weakens and subsequently strengthens as agglomeration deepens, thereby generating stage-dependent indirect effects on carbon emission intensity through the green patent channel. Spatial marginal effects also display nonlinear variation with the degree of digital industry agglomeration. At lower agglomeration levels, the total spatial marginal effect is positive, indicating increased carbon emission intensity across the regional system. As agglomeration intensifies, the total effect diminishes and ultimately becomes significantly negative, indicating a transition towards cross-regional emissions reduction. These results offer policy-relevant insights for designing low-carbon strategies tailored to different stages of digital industry agglomeration and for enhancing cross-regional coordination.

Authors

Institutions

Publication Details

Journal
Applied Economics
Published
2026-09-17
DOI
https://doi.org/10.1080/00036846.2026.2727143
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Mechanisms and spatial effects of digital industry agglomeration on urban carbon emission intensity

Zhenghao Shi, Mingkui Huo, Zhi Li
Applied Economics
Energy, Environment, Economic Growth
article

Mechanisms and spatial effects of digital industry agglomeration on urban carbon emission intensity

Zhenghao Shi, Mingkui Huo, Zhi Li
article en

Abstract

Digital industry agglomeration significantly influences urban low-carbon development, with environmental effects that differ across agglomeration stages. This study analyzes panel data from 280 Chinese prefecture-level cities spanning 2009 to 2023 to assess the impact of digital industry agglomeration on urban carbon emission intensity. The empirical approach integrates nonlinear panel regressions, a nonlinear mediation model, and a spatial Durbin model to identify nonlinear, mediating, and spatial effects. The findings reveal a pronounced inverted U-shaped relationship between digital industry agglomeration and urban carbon emission intensity. Additionally, digital industry agglomeration exhibits a U-shaped effect on green technological innovation, indicating that the innovation effect initially weakens and subsequently strengthens as agglomeration deepens, thereby generating stage-dependent indirect effects on carbon emission intensity through the green patent channel. Spatial marginal effects also display nonlinear variation with the degree of digital industry agglomeration. At lower agglomeration levels, the total spatial marginal effect is positive, indicating increased carbon emission intensity across the regional system. As agglomeration intensifies, the total effect diminishes and ultimately becomes significantly negative, indicating a transition towards cross-regional emissions reduction. These results offer policy-relevant insights for designing low-carbon strategies tailored to different stages of digital industry agglomeration and for enhancing cross-regional coordination.

Applied Economics
Changchun University of Science and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Energy, Environment, 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.