ASEANにおける直接・間接炭素排出の多地域分解分析
Multi-regional decomposition of direct and indirect carbon emissions in ASEAN (原題)
John Raphael C. Teng, Raymond R. Tan, Meng Li, Ivan Henderson V. Gue
🤖 gxceed AI 要約
日本語
本論文は、ASEAN9カ国の2017〜2023年の直接・間接炭素排出を、環境拡張型多地域産業連関分析（MRIO）とLMDI構造分解分析で評価した。直接排出は19.76%増、間接排出は7.83%増で、エネルギー関連間接排出が最も高い伸び（16.72%）を示した。排出増は主に世界最終需要の拡大に起因し、排出原単位の改善が一部相殺した。製造業が炭素再分配の中心ハブであり、域内生産連鎖がASEANのembodiedフローを支配する一方、域外（RoW）との交換が域内交換を上回った。
English
This study assesses direct and indirect carbon emissions across nine ASEAN economies (2017–2023) using an environmentally extended MRIO framework with LMDI-based structural decomposition. Direct emissions rose 19.76% and indirect emissions 7.83%, with energy-related indirect emissions growing fastest at 16.72%. Growth was driven mainly by global final demand expansion, partly offset by negative emission intensity effects. Manufacturing acts as the central carbon redistribution hub, and RoW-linked exchanges exceed intra-ASEAN flows.
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
日本企業のASEANサプライチェーンにおけるScope 3排出管理や、SSBJ・有報でのサプライチェーン排出開示に直結する知見を提供。特に製造業の炭素ハブ性と域外依存の大きさは、日本企業の調達・投資判断に示唆を与える。
In the global GX context
Provides empirical evidence on embodied carbon flows in ASEAN, relevant to global Scope 3 accounting, CBAM-type border adjustments, and supply-chain disclosure under ISSB/CSRD. Highlights the need for coordinated regional decarbonization strategies in production networks.
👥 読者別の含意
🔬研究者:MRIOとLMDIを組み合わせた排出分解手法と、ASEANのembodiedカーボンフロー実証データを提供。
🏢実務担当者:ASEANサプライチェーンを持つ企業は、Scope 3排出のホットスポット把握と調達先の脱炭素化優先順位付けに活用可能。
🏛政策担当者:ASEAN域内の炭素リーケージと域外依存を踏まえ、地域協調型の脱炭素政策・炭素価格制度設計の必要性を示唆。
📄 Abstract（原文）
As Association of Southeast Asian Nations (ASEAN) economies deepen their role in regional and global production networks, carbon responsibility is increasingly shared across production, consumption, and trade systems. This study assesses direct and indirect carbon emissions across nine ASEAN economies from 2017 to 2023 using an environmentally extended multi-regional input-output framework with Logarithmic Mean Divisia Index (LMDI)-based structural decomposition analysis (SDA). Direct, energy-related indirect, and supply chain-related emissions were quantified using Asian Development Bank multi-regional input-output tables and environmental satellite accounts. Emission changes were decomposed into emission intensity, economic system structure, final demand structure, and total final demand effects. Embodied carbon flow matrices traced carbon transfers through intermediate transactions, final demand, ASEAN economies, and the Rest of the World (RoW). Results show that direct emissions increased by 19.76% (2,363.10 to 2,829.95 MtCO2e), while indirect emissions increased by 7.83% (4,003.85 to 4,317.47 MtCO2e), with energy-related indirect emissions showing the highest growth rate among the indirect categories at 16.72% (1,176.48 to 1,373.17 MtCO2e). LMDI-based SDA results indicate that emissions growth was mainly driven by global final demand expansion, while negative emission intensity effects partly offset emission increases in all three categories. Country-sector hotspots included Indonesia’s energy and mining sectors, and Vietnam’s manufacturing sector. Embodied carbon flow results identify manufacturing as the central carbon redistribution hub and energy as a major upstream source. National production chains dominated ASEAN embodied flows, while RoW-linked exchanges were larger than intra-ASEAN exchanges. These findings highlight the need for coordinated regional and country-specific strategies targeting cleaner energy systems, industrial networks, and material supply chains.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.20517/cf.2026.74first seen 2026-09-22 04:40:41
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。