Addressing significant carbon footprint and cross-boundary leakage of textile and apparel industries in 21 South China cities
中国南部21都市における繊維・アパレル産業の炭素フットプリントと越境漏出への対応 (AI 翻訳)
Lin Pan, Junliang Wu, Yuhan Liang, Shaoqing Chen, Xuemei Wang
🤖 gxceed AI 要約
日本語
中国南部21都市の繊維・アパレル産業を対象に、多地域産業連関分析と構造分解・経路・生態ネットワーク分析を統合し、地域間の炭素排出移転を追跡。2012〜2017年に排出原単位は改善したが、消費ベースのフットプリントは繊維で71.2%、アパレルで23.2%増加。上流サプライチェーン（電力・運輸・卸売）が全体の3分の1超を占め、産業移転に伴う越境漏出の重要性を指摘。
English
This study traces interregional carbon transfers of textile and apparel industries across 21 South China cities using MRIO, structural decomposition, path, and ecological network analyses. Despite intensity reductions, consumption-based footprints surged (textile +71.2%, apparel +23.2%) during 2012-2017. Upstream supply chains (electricity, transport, wholesale) account for over one-third of footprints, and industrial relocation deepens dependence on production hubs, highlighting cross-boundary leakage.
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
日本のサプライチェーン排出量算定（Scope3）やSSBJ開示において、産業移転に伴う排出漏出の定量化手法は参考になる。特に、上流工程の電力・輸送が排出の主要因である点は、日本企業の調達先多様化や再生可能エネルギー調達の重要性を示唆する。
In the global GX context
This paper offers a rigorous method for quantifying cross-boundary emission leakage in supply chains, relevant to global Scope 3 accounting and ISSB/CSRD disclosure. It demonstrates how consumption-based accounting reveals hidden emissions in upstream sectors, informing transition finance and supply chain decarbonization strategies.
👥 読者別の含意
🔬研究者:Provides a methodological template for MRIO-based Scope 3 analysis with decomposition and network approaches.
🏢実務担当者:Highlights the need to address upstream emissions (electricity, transport) in supply chain decarbonization and disclosure.
🏛政策担当者:Shows how industrial relocation can undermine emission reduction efforts, urging policies to prevent carbon leakage.
📄 Abstract（原文）
Reducing carbon emissions in textile and apparel industries is challenging owing to their complex and energy-intensive supply chains. Although these two sectors remain economically vital to many Chinese cities, their climate impacts, shaped by evolving consumption patterns and industrial relocation, remain insufficiently understood. This study traces the interregional carbon emission transfers of textile and apparel industries across 21 South China cities by integrating multi-regional input–output analysis with structural decomposition, structural path, and ecological network analyses. Our results reveal a paradoxical trend in both industries: although textile and apparel industries achieved significant reductions in emission intensities during 2012-2017, primarily through energy restructuring and technological advancements, their consumption-based carbon footprints surged by 71.2% and 23.2%, respectively. Rising per capita consumption was the dominant driver of footprint growth during 2012–2015, yet a structural shift occurred in 2015–2017, when carbon intensity and production structure emerged as the primary contributors. Upstream supply chains, particularly electricity supply, transportation, and wholesale trade, collectively accounted for over one-third of the total carbon footprint. Furthermore, ongoing industrial relocation has progressively deepened the network dependence of many cities on production hubs like Foshan and Jieyang, underscoring the critical importance of decarbonizing these key industrial centers for achieving system-wide emission reductions. Our findings underscore the critical need for mitigating carbon footprints and cross-boundary emission leakage of textile and apparel industries during industrial relocation across cities.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.clrc.2026.100469first seen 2026-07-18 05:55:36
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