The decoupling effect and its driving factors of carbon emissions in China's three major urban agglomerations

IF 8.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Ecological Indicators Pub Date : 2026-03-01 Epub Date: 2026-02-20 DOI:10.1016/j.ecolind.2026.114718
Huiping Wang, Shengjie Tan
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引用次数: 0

Abstract

Achieving decoupling between economic growth and carbon emissions is a core requirement for China to attain its strategic “dual carbon” goals. As the primary spatial entities for economic activities and carbon emissions, urban agglomerations represent a critical battleground in this decoupling process; however, their decoupling pathways may exhibit significant variations due to differing development models. This study takes the three major urban agglomerations in China, namely the Beijing Tianjin Hebei (BTH), the Yangtze River Delta (YRD), and the Guangdong Hong Kong Macao Greater Bay Area (GBA), as research objects. It systematically examines the differentiated characteristics of their carbon decoupling status, green catch-up paths, and driving factors from 2013 to 2022. The findings reveal the following: (1) the decoupling process in the BTH exhibits significant volatility, reflecting a strong policy-driven nature. The decoupling status in the YRD remains generally stable, with weak decoupling maintained during most periods, highlighting its structural advantages as a pioneer in green development. The GBA demonstrates notable external sensitivity and structural resilience, with its path highly reliant on energy efficiency improvements and a service-oriented economic structure. (2) compared to benchmark cities, most cities in the BTH ultimately fall into negative catch-up, reflecting obstacles to green transformation under growth pressure and the vulnerability of surrounding areas. Most cities in the YRD shift from negative catch-up to expansionary catch-up, reflecting regional synergies without relying on high energy consumption for growth. The GBA gradually transitions from early negative catch-up in core cities to expansionary catch-up in most cities and even partial green catch-up in some, indicating a favorable development trend. (3) economic development is the dominant factor driving carbon emission growth, energy intensity serves as the core restraining force and plays a prominent role in the YRD and GBA, while the volatility of energy structure factors reveals that the replacement of clean energy still faces profound challenges
中国三大城市群碳排放的脱钩效应及其驱动因素
实现经济增长与碳排放的脱钩,是中国实现“双碳”战略目标的核心要求。城市群作为经济活动和碳排放的主要空间实体,是这一脱钩过程的关键战场;然而,由于发展模式的不同,它们的解耦途径可能表现出显著的差异。本研究以中国三大城市群京津冀(BTH)、长三角(YRD)和粤港澳大湾区(GBA)为研究对象。系统考察了2013 - 2022年两国碳脱钩状况、绿色追赶路径和驱动因素的差异特征。研究结果表明:(1)北京的脱钩过程具有显著的波动性,反映出较强的政策驱动性质。长三角地区脱钩态势总体稳定,多数时期保持弱脱钩态势,绿色发展先行者的结构性优势凸显。大湾区表现出显著的外部敏感性和结构弹性,其发展路径高度依赖于能效提升和服务型经济结构。(2)与基准城市相比,BTH内大部分城市最终处于负追赶状态,反映了增长压力下绿色转型的障碍和周边地区的脆弱性。长三角大多数城市从负追赶转向扩张性追赶,反映出区域协同效应,而不依赖高能耗实现增长。大湾区从早期核心城市的负追赶逐步过渡到大部分城市的扩张性追赶,部分城市甚至部分绿色追赶,发展态势良好。(3)经济发展是推动碳排放增长的主导因素,能源强度是核心制约因素,在长三角和大湾区中作用突出,而能源结构因素的波动性表明清洁能源替代仍面临深刻挑战
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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