Industrial Value Chains and Greenhouse Gas Emissions: An EEIOT-Based Sustainability Analysis for Assessing Policy Options
産業バリューチェーンと温室効果ガス排出：政策選択肢評価のためのEEIOTベースの持続可能性分析 (AI 翻訳)
J. Retegi, B. Kamp, J. Igartua
🤖 gxceed AI 要約
日本語
スペインを事例に、環境拡張産業連関表と生産層分解を用いてバリューチェーンのScope1-2-3排出量を定量化。間接排出が大半を占め、社会・経済的側面を考慮した移行経路の必要性を示す。公共調達の影響は限定的であり、包括的な持続可能性評価の重要性を強調。
English
Using Spain as a case, this study applies Environmentally Extended Input-Output Tables and Production Layer Decomposition to quantify Scope 1-2-3 emissions across industrial value chains. It finds that indirect emissions dominate, and that incorporating social and economic dimensions is essential for equitable transition. Public procurement has limited impact on total emissions, highlighting the need for comprehensive sustainability assessments to design coherent decarbonisation strategies.
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
本手法は、日本企業がSSBJ対応で課題とするScope 3排出量の把握に応用可能。バリューチェーン構造依存性を可視化することで、より実効的な脱炭素政策の設計に貢献する。
In the global GX context
This paper provides a methodological framework for value-chain-level Scope 3 analysis, directly relevant to ISSB and CSRD disclosure requirements. Its integration of social and economic impacts aligns with the growing focus on just transition in global climate policy.
👥 読者別の含意
🔬研究者:Offers a replicable EEIOT+PLD methodology for quantifying Scope 1-2-3 emissions and assessing socio-economic trade-offs in value chains.
🏢実務担当者:Highlights the dominance of indirect emissions and the need for value-chain-based sustainability metrics in corporate reporting and procurement decisions.
🏛政策担当者:Demonstrates that public procurement has limited emission reduction impact, suggesting that more comprehensive policy mixes are needed to achieve deep decarbonisation.
📄 Abstract（原文）
This study examines how different sustainability assessment approaches influence climate-policy choices when evaluating greenhouse gas (GHG) emissions across industrial value chains. Using Spain as an empirical setting, we apply Environmentally Extended Input–Output Tables combined with Production Layer Decomposition to quantify Scope 1–2–3 emissions and assess economic and employment impacts. The results show that indirect emissions dominate most value chains, revealing structural dependencies that are not captured by sector-level inventories. Incorporating social and economic dimensions highlights the need for transition pathways that minimise employment disruption while maximising environmental gains. Although public procurement can enhance the uptake of emerging low-carbon and circular-economy technologies, it has limited quantitative influence on total value-chain emissions. The findings demonstrate that value-chain-based sustainability assessments provide a more comprehensive basis for designing coherent, equitable, and effective decarbonisation strategies.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/gases6010012first seen 2026-05-05 22:04:39
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。