Production Technology Matters: Capturing Technological Change in MRIO Models of the Post-Carbon Transition
生産技術が重要：脱炭素移行におけるMRIOモデルでの技術変化の捕捉 (AI 翻訳)
Cerny, Martin
🤖 gxceed AI 要約
日本語
本論文は、風力・太陽光・グリーン水素などの新技術の普及がエネルギー部門のサプライチェーンに与える影響を評価するため、多地域産業連関（MRIO）モデルに技術詳細を組み込む手法を提案する。詳細な技術経済データからMRIO互換の生産関数を構築し、異なる技術構成の影響を追跡可能にする。既存モデルの産業・製品レベルを超えた分析を実現する。
English
This paper proposes a method to incorporate technological detail into multi-regional input-output (MRIO) models for assessing supply chain impacts of new energy technologies like wind, solar, and green hydrogen. It constructs MRIO-compatible production functions from techno-economic data, enabling tracking of different technology combinations in energy transition scenarios, overcoming the limitations of industry-level models.
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
日本でもグリーン水素や再エネ導入が進む中、本手法は日本の産業連関表を用いた移行シナリオ分析に応用可能であり、サプライチェーン影響の精緻化に寄与する。
In the global GX context
As global energy transitions accelerate, this method enhances the capability of MRIO models to capture technology-specific supply chain impacts, improving ex-ante scenario analysis for policymakers and investors.
👥 読者別の含意
🔬研究者:Provides a methodological framework for integrating detailed energy technologies into MRIO models, useful for IAM and life-cycle assessment researchers.
🏢実務担当者:Supports supply chain managers in understanding technology-driven shifts in energy sector procurement and logistics.
🏛政策担当者:Offers a tool for evaluating the supply chain implications of different technology pathways in national energy transition plans.
📄 Abstract（原文）
Scenarios for achieving carbon neutrality often propose combining electrification from wind and photovoltaics with green hydrogen. Relying on these sources globally will significantly impact energy sector supply chains, as their production and raw material needs differ greatly from current technologies. The impact will also depend on factors such as the speed of deploying new technology variants (e.g., airborne wind energy and polymer electrolyte membrane electrolysis for hydrogen production) and the degree of centralization or decentralization of renewables. However, current supply chain models struggle to integrate appropriate level of technology detail. Multi-regional input-output (MRIO) models, while generally suitable, rarely operate at more detailed than industry or product level, limiting their effectiveness for assessing the supply chain impacts of ex-ante energy transition scenarios. To address this, we propose an approach that uses detailed empirical techno-economic data for various wind, photovoltaic and green hydrogen technologies. We show how to construct MRIO-compatible production functions from this data to effectively track the impact of different technology combinations on supply chains in energy transition scenarios.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21296635first seen 2026-07-14 04:16:55
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