Carbon Emission Reduction Drivers and Decoupling Effects in the Transport Industry of the Yangtze River Delta Region
長江デルタ地域の運輸産業における炭素排出削減要因とデカップリング効果 (AI 翻訳)
Gaopeng Jiang, Huihui An, Yaling Tian, Yuwen Chen, Huihui Liu
🤖 gxceed AI 要約
日本語
本研究は、長江デルタ地域の運輸産業における炭素排出削減要因と経済成長とのデカップリング効果を分析。STIRPAT-RidgeモデルとTapioデカップリングモデルを用いて、人口、産業構造などが主要な要因であることを示し、政策と市場メカニズムによりデカップリングが強化されていることを明らかにした。
English
This study analyzes carbon emission reduction drivers and decoupling effects in the transport industry of the Yangtze River Delta region. Using the extended STIRPAT-Ridge model and Tapio decoupling model, it finds that year-end resident population and industrial structure are primary drivers, and that government policies and market mechanisms have progressively strengthened decoupling.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
中国の地域別運輸脱炭素分析は、日本の交通部門における地域別排出削減策の立案に参考となる。特に、人口・産業構造の影響評価手法は、日本の自治体レベルでのGX推進に応用可能。
In the global GX context
This paper provides empirical evidence on transport emission drivers and decoupling in a rapidly developing Chinese region, offering methodological insights for similar analyses in other countries. It contributes to the global understanding of how policy and market mechanisms can weaken the link between transport growth and emissions.
👥 読者別の含意
🔬研究者:The STIRPAT-Ridge modeling approach and decoupling analysis offer a robust framework for studying transport emission drivers.
🏢実務担当者:Findings on key drivers (population, industrial structure) can inform corporate and regional strategies for transport emission reduction.
🏛政策担当者:The decoupling trends and policy mechanisms identified can guide the design of effective transport climate policies in developing regions.
📄 抄録（日本語訳）
全球变暖的背景下，中国提出了“双碳”目标，力争到2060年实现碳中和。作为经济发展的重要引擎，长三角地区制定了实施方案，将碳减排置于优先位置。交通运输业作为碳排放的主要来源，其向清洁能源的转型发挥着关键作用，对推进区域碳中和具有举足轻重的意义。本研究基于当前排放评估和动态演化分析，结合政策演进与技术革新轨迹，对碳排放驱动因素进行分类。这些驱动因素被划分为：交通结构、交通强度、能源强度、年末常住人口、人均GDP和产业结构。采用扩展的STIRPAT-Ridge模型，对碳排放驱动因素进行定量分析。运用Tapio脱钩模型，解构碳排放与经济增长之间的脱钩状态。实证研究结果表明，长三角地区交通运输业碳排放受多重因素影响，其中年末常住人口和产业结构是主要驱动因素。碳排放与经济增长之间的脱钩呈现波动特征，但近年来在政府政策举措和市场机制的作用下逐步增强。
AI 翻訳（deepseek-v4-flash）。 正確を期す場合は下の原文を参照してください。
📄 Abstract（原文）
Against the backdrop of global warming, China has set forth its ‘dual carbon’ goals, striving to achieve carbon neutrality by 2060. As a vital engine of economic development, the Yangtze River Delta region has formulated implementation plans, prioritizing carbon emission reduction. The transport industry, a major source of carbon emissions, plays a crucial role through its transition to clean energy, making it pivotal for advancing regional carbon neutrality. This study categorizes carbon emission drivers based on an assessment of current emissions and dynamic evolution analysis, integrating policy evolution and technological innovation trajectories. These drivers are classified into: transport structure, transport intensity, energy intensity, year-end resident population, per capita GDP, and industrial structure. Using the extended STIRPAT-Ridge model, quantitative analysis of carbon emission drivers is conducted. Employing the Tapio decoupling model, the decoupling state between carbon emissions and economic growth is deconstructed. Empirical findings reveal that carbon emissions from the transport industry in the Yangtze River Delta are influenced by multiple factors, with year-end resident population and industrial structure emerging as primary drivers. The decoupling between carbon emissions and economic growth exhibits fluctuating characteristics, but has been progressively strengthened in recent years by government policy initiatives and market mechanisms.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18147091first seen 2026-07-14 04:46:23
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