From Digital Clusters to Urban Environmental Sustainability
New Mechanisms and Spillover Effects
Bibliographic Data
| ID | 12307391 |
|---|---|
| Authors | Miaomiao Tao (0000-0003-0052-7219, Energy Centre, Department of Economics, Business school The University of Auckland Auckland New Zealand, corresponding author), Marcus Jude P San Pedro (0009-0008-8467-9159, Energy Centre, Department of Economics, Business school The University of Auckland Auckland New Zealand), David Roubaud (0000-0003-3827-6187, Department of Finance Montpellier Business School France), Aviral Kumar Tiwari (0000-0002-1822-9263, Department of Economics Indian Institute of Management Bodh Gaya (IIMBG) Bodh Gaya Bihar India) |
| Year | 2025 |
| Volume | 33 |
| Issue | 5 |
| Pages | 7363-7386 |
| Publication date | 2025-05-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Development (JOURNAL) |
| Journal identifiers | ISSN: 0968-0802 • E-ISSN: 1099-1719 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sd.3523 |
| OpenAlex | W4410332113 |
| Language | EN |
| Citations received | 2 |
| References cited | 104 |
The burgeoning concentration of digital industries has garnered considerable scholarly interest as a catalyst for economic dynamism and technological innovation. However, its environmental ramifications—particularly regarding pollutant emissions—remain insufficiently examined. This study probes the ecological consequences of digital industry agglomeration, specifically emphasizing sulfur dioxide (SO 2 ) emissions, drawing upon a comprehensive city‐level dataset from China. Empirical findings reveal that digital agglomeration markedly suppresses SO 2 emissions, with the most pronounced effects observed in eastern municipalities, non‐resource‐dependent urban locales, and cities situated beyond conventional industrial corridors. Mediation analyses elucidate that enhanced supply chain resilience (SCR) is a key conduit for emission abatement. Nevertheless, inefficiencies arising from capital and labor misallocation partially offset these gains. Furthermore, spatial econometric analysis confirms the existence of positive spillover effects, whereby emission reductions extend beyond the agglomerated city to adjacent regions. Our analysis also uncovers a non‐linear moderating role of human capital in shaping the environmental efficacy of digital agglomeration, indicating that augmenting human capital stock is pivotal for amplifying green dividends. These insights underscore the necessity for region‐specific and capability‐sensitive policy frameworks to harness the environmental co‐benefits of digital industrial clustering fully
Biology · Business · Economics · Microeconomics · Spillover effect · Sustainability · Urban Sustainability · Energy, Environment, Economic Growth · Environmental Science · Fiscal Policy and Economic Growth · Innovation Diffusion and Forecasting · Ecology
The Competitive Advantage of Nations
A framework of sustainable supply chain management
Competitive Advantage of Nations
Trade, Growth, and the Environment
Effects of digital economy on carbon emission reduction
How does digital economy affect carbon emissions? Evidence from global 60 countries
Innovation in cities
The Race between Man and Machine
Human Capital
How does the digital economy impact green manufacturing
Identifying impacts of industrial co-agglomeration on carbon emissions
Impacts of digital economy agglomeration on carbon emission
The Impact of Information and Communication Technology Industrial Co-Agglomeration on Carbon Productivity with the Background of the Digital Economy
Why can an environmental policy tax promote growth through the channel of education
Agglomeration economies and firm-level labor misallocation
Diffusion of global climate policy
Investment-cash flow sensitivities and capital misallocation
Mayors’ promotion incentives and subnational-level GDP manipulation
Capital Formation by Education
Endogenous Technological Change
The Causes and Costs of Misallocation
Digital Transformation, Supply Chain Integration and Supply Chain Performance
| Citations per year | 2 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |