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EDITORIAL article

Front. Environ. Sci., 13 August 2025

Sec. Social-Ecological Urban Systems

Volume 13 - 2025 | https://doi.org/10.3389/fenvs.2025.1669726

This article is part of the Research TopicUrban Carbon Emissions and Anthropogenic ActivitiesView all 20 articles

Editorial: Urban carbon emissions and anthropogenic activities

  • Department of Economics, University of Foggia, Foggia, Italy

1 Introduction

The following ten scientific articles have provided robust, data-driven insights into how China can achieve its “dual carbon” goals (carbon peak and neutrality).

They highlight that:

• Digital infrastructure, green innovation, and policy experimentation are critical drivers.

• Policies must be regionally differentiated and technology-driven.

• Effective climate action depends on multi-level coordination, integrating local, regional, and national strategies.

In summary, these studies suggest that China’s environmental transition must be smart, digital, inclusive, and tailored to local contexts, leveraging both market-based tools and technological advancement to build a sustainable future.

Specifically, the papers in this Research Topic can be clustered as follows.

2 Policy-driven corporate green transformation

The study by Qian et al. examines the impact of China’s “Zero-Waste City” pilot policy on corporate green transformation. Using double machine learning methods on firm-level data (2016–2023), they find that the policy significantly accelerates corporate environmental upgrading. This happens through three main channels: 1) increased green technology innovation; 2) stronger government oversight; and 3) growing investor environmental awareness. Notably, the policy impact is stronger for non-state-owned firms, non-heavy-polluting sectors, and traditional industries, providing valuable evidence for targeted environmental policy effectiveness.

3 Digitalization and low-carbon governance

Digital transformation plays a central role in environmental governance, as highlighted in multiple studies.

Hu and Song show that greater government digital attention at the city level helps reduce carbon emissions. This is achieved by improving public low-carbon awareness, enhancing governance capacity, and encouraging corporate low-carbon transitions. The effect is stronger in eastern China and in cities with more developed markets.

Li and Diao focus on digital infrastructure, showing that it supports simultaneous reductions in pollution and carbon emissions, with a significant synergistic effect. It facilitates labor, capital, and innovation flows across cities. A nonlinear U-shaped relationship was found, suggesting that digital infrastructure must be optimized to maximize environmental gains.

Sun et al. analyze how the digital economy influences urban carbon emissions. The effect is nonlinear: initially, digital development increases emissions, but once a certain threshold is crossed, it facilitates technological innovation, which offsets those emissions. Thus, green tech R&D is key to aligning digital growth with climate goals.

4 Land use, urban shrinkage, and emissions

Land use and demographic changes significantly affect carbon outcomes.

Zhang et al. examine land use carbon emissions (LUCE) in shrinking counties in the Beijing- Tianjin-Hebei (BTH) region. They find that although shrinking areas emit less overall, their emissions grow faster, mainly due to inefficient urban land expansion. Severe shrinkage areas have the fastest per capita emission growth, stressing the need for differentiated carbon control strategies in shrinking urban regions.

Chen et al. focus on county-level emissions in the Guanzhong region of Shaanxi. Industrial and residential sectors are the largest contributors. The spatial pattern shows a core-edge structure, with urban centers emitting more, while rural areas (like Qinling National Park) have significant carbon sink potential. This highlights the importance of localized strategies for rural low-carbon development.

5 Urbanization, agglomeration, and emissions

Urbanization and industrial agglomeration present both challenges and opportunities.

Zhu and Lin investigates producer services agglomeration and finds it reduces local urban carbon intensity by enhancing energy efficiency and industrial structure upgrading. However, it has limited spillover effects on surrounding areas. Its benefits are stronger in non-resource-based cities and mid-sized urban areas.

• Conversely, Zhang et al. highlight a paradox: rising urbanization tends to decrease carbon emission performance per unit space. They show strong spatial autocorrelation and spillover effects, especially linked to industrial and energy structure. Therefore, urbanization without structural reforms may hinder carbon efficiency.

6 Policy innovation for pollution and carbon reduction

Innovative environmental policies are a key lever for emissions control.

Wang et al. assess the impact of Energy-Consuming Rights Trading (ECRT) as a quasi-natural experiment. Their findings show that ECRT significantly improves pollution and carbon reduction, particularly in central and western regions and in resource-based cities. The mechanism relies on green innovation and industrial upgrading. The authors recommend expanding ECRT’s coverage and flexibility.

Jiang and& Wu analyze the environmental impact of the Belt and Road Initiative (BRI). Since 2014, BRI has reduced PM2.5 levels in key provinces along the route, mainly by fostering technological innovation and industrial restructuring. However, the effect is stronger in areas along the Silk Road Economic Belt, suggesting regional disparities. BRI also improved green total factor productivity, supporting a greener “Belt and Road.”

Finally, across these ten studies, it has been possible to reveal a number of cross-cutting insights and policy implications, some of which are outlined below.

✓ Digitalization as a Double-Edged Sword Digital technologies and infrastructure support emissions reduction, but only when paired with technological innovation and regulatory adaptation. Without green innovation, digital development may initially worsen emissions.

✓ Importance of Tailored Regional Policies Geographic and economic differences matter: shrinking cities, mid-sized cities, resource-based regions, and rural counties exhibit distinct emissions patterns. As such, one-size-fits-all approaches are inadequate.

✓ Role of Structural Transformation Structural reforms—especially in industrial upgrading, energy restructuring, and land-use efficiency—are essential complements to any policy aimed at decarbonization.

✓ Synergy between Pollution Control and Carbon Goals Multiple studies confirm that policies promoting air quality improvement (e.g., PM2.5 reduction) often align with carbon reduction goals, offering co-benefits that enhance policy efficiency.

Author contributions

ML: Supervision, Validation, Writing – review and editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: environmental policy, digitalization, low-carbon development, China, urbanization, emissions, land use, green transformation

Citation: Lombardi M (2025) Editorial: Urban carbon emissions and anthropogenic activities. Front. Environ. Sci. 13:1669726. doi: 10.3389/fenvs.2025.1669726

Received: 20 July 2025; Accepted: 01 August 2025;
Published: 13 August 2025.

Edited and reviewed by:

Martin Siegert, University of Exeter, United Kingdom

Copyright © 2025 Lombardi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Mariarosaria Lombardi, bWFyaWFyb3NhcmlhLmxvbWJhcmRpQHVuaWZnLml0

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.