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A local-to-global multi-regional input-output database for Austria and its federal states consistent with official accounts

オーストリアとその連邦州のための公式統計と整合したローカル・トゥ・グローバル多地域産業連関データベース (AI 翻訳)

Wieland H, Wiedenhofer D, Többen J, Dorninger C

Research Squareプレプリント2026-06-16#炭素会計Origin: EU
DOI: 10.21203/rs.3.rs-10032681/v1
原典: https://doi.org/10.21203/rs.3.rs-10032681/v1

🤖 gxceed AI 要約

日本語

本論文は、オーストリアの9つの連邦州レベルでのカーボンフットプリント（CF）評価を可能にする、公式統計と整合したローカル・トゥ・グローバル多地域産業連関（MRIO）データベースを構築した。2010～2022年をカバーし、74の製品分類でオーストリア国内を、200製品で国外を表現。既存のCF推計との比較も行い、乖離を明らかにした。

English

This paper presents a subnational multi-regional input-output (MRIO) database for Austria and its nine federal states, aligned with official environmental-economic accounts, covering 2010-2022. It enables consistent carbon footprint (CF) assessments at the state level and compares results with existing CF estimates to highlight deviations.

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

本論文は、都道府県レベルでのCF分析や、SSBJとの整合性を検討する際の参考となる。ただしオーストリア固有の統計体系に基づくため、直接適用には注意が必要。

In the global GX context

This paper addresses the challenge of linking global MRIO models to subnational scales while aligning with official statistics, which is critical for the adoption of MRIO-based insights in national climate policy. It provides a template for other countries to develop similar local-to-global databases.

👥 読者別の含意

🔬研究者:Provides methodological details for constructing subnational MRIO databases consistent with official accounts.

🏢実務担当者:Offers a benchmark for subnational carbon footprinting, but applicability outside Austria requires adjustments.

🏛政策担当者:Demonstrates how aligning MRIO data with official statistics can enhance policy relevance; suggests a path for other countries.

📄 Abstract（原文）

<title>Abstract</title> <p> Austria’s climate research community is calling for databases to assess subnational carbon footprints (CFs) and trade-induced greenhouse gas emissions to facilitate evidence-based debates on regional interdependencies in national decarbonization efforts. Although national-to-global multi-regional input–output (MRIO) databases are well established for national CF assessments, consistently linking such global models to the subnational scale remains an important area of research. Moreover, the misalignment between MRIO databases and official statistics from national statistical institutions has slowed the adoption of MRIO-based insights in policymaking. We address these challenges by presenting a local-to-global MRIO database for Austria and its nine federal states, which is aligned with the official environmental–economic accounts of Austria, thereby fostering the uptake of the results for ongoing climate policy processes. The first version of the MRIO model is in a product-by-product format and covers 57 regions (the nine federal states of Austria plus 48 countries and world regions) from 2010 to 2022 in a heterogeneous sector classification (74 products for Austria and 200 products for the rest of the world), including energy and process-related emissions of CO <sub>2</sub> , CH <sub>4</sub> , and N <sub>2</sub> O. This study provides an overview of the database compilation, structure of the local-to-global MRIO model, and a comparison with existing CF estimates for Austria to highlight deviations. </p>

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