Advancing regional product carbon footprint assessment through supply-chain production input-output modeling
サプライチェーン生産投入産出モデルによる地域製品カーボンフットプリント評価の進展 (AI 翻訳)
Yao Tong, Yoshiaki Shimazaki, Ken-ichi HASEGAWA, Shin-Ichi Matsumoto, Jin-ya TAKEUCHI
🤖 gxceed AI 要約
日本語
本研究は、供給連鎖生産投入産出（ScPIO）モデルを提案し、地域のカーボンフットプリント評価を実用的に行う手法を示した。従来の単一地域IOモデルや多地域IOモデルの課題を克服し、日本の愛媛県と高知県の事例で、サプライチェーンの位置づけが排出係数に与える影響を分析した。
English
This study proposes the supply-chain production input-output (ScPIO) model for practical regional carbon footprint assessment. It overcomes limitations of conventional single-region and multi-region IO models by integrating national multipliers with regional tables. Applied to two Japanese prefectures, it shows how supply-chain positioning affects emission factor sensitivity.
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
日本では各都道府県が2030年46%削減目標に向けた地域脱炭素化策を策定中であり、本モデルは限られたデータで実用的なカーボンフットプリント評価を行う手法を提供する。SSBJや有報でのScope3開示が進む中、地域レベルの排出係数精緻化に貢献する。
In the global GX context
As countries develop subnational climate policies, this scalable method addresses the data gap in regional carbon accounting without requiring full multi-region IO tables. It offers a production-oriented framework applicable to any region with similar data constraints, supporting supply-chain decarbonization strategies.
👥 読者別の含意
🔬研究者:Regional carbon accounting researchers can adopt the ScPIO model as a practical alternative to MRIO when interregional trade data is scarce.
🏢実務担当者:Local governments and companies can use ScPIO to assess product carbon footprints and identify supply-chain decarbonization opportunities.
🏛政策担当者:Policymakers can leverage ScPIO to evaluate emission reduction measures at the prefectural level and promote local material use.
📄 Abstract（原文）
In recent years, increasing awareness of the problem of global warming has led to the need to reduce CO 2 emissions. In response to national guidelines calling for a 46% reduction in emissions by 2030, local governments in Japan have developed regional CO 2 emission reduction measures. To formulate and evaluate such measures requires the capacity to practically and effectively assess the CO 2 emissions factors in each Japanese prefecture. This study proposes the supply-chain production input-output (ScPIO) model as a practical alternative to existing regional carbon footprint methods. Conventional single-region IO (SRIO) models neglect embodied emissions in imported intermediate inputs, while multi-region IO (MRIO) models capture them but require extensive interregional trade data that is often unavailable at the subnational level. ScPIO focuses on production activities, integrating national emission multipliers with regional IO tables to account for embodied emissions from transferred and imported inputs without relying on full MRIO datasets. An optimized version (ScPIO-opt) further improves computational accuracy. Applying the model to two Japanese prefectures—Ehime (an upstream prefecture) and Kochi (a downstream prefecture)—shows that differences in supply-chain positioning significantly affect the sensitivity of emission factors. Neglecting imported inputs leads to large deviations in upstream regions, while omitting inflows causes greater bias in downstream areas. Overall, ScPIO provides a scalable and production-oriented framework for regional carbon accounting, supporting policies that promote local material use and optimize supply-chain decarbonization strategies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.sftr.2026.102013first seen 2026-07-13 06:16:10
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