Exiobase HYBRID | PV supply-chain version
Exiobase HYBRID | PVサプライチェーンバージョン (AI 翻訳)
Lorenzo Rinaldi
🤖 gxceed AI 要約
日本語
本リポジトリは、太陽光発電（PV）サプライチェーンを明示的に表現したハイブリッド産業連関データベースを提供する。EUネットゼロ産業法に基づくPVの国内回帰シナリオのカーボンフットプリント、価格、生産、付加価値、雇用効果を推計するための再現可能なワークフローを含む。感度分析により主要なモデル仮定の影響を評価する。
English
This repository provides a hybrid multi-regional input-output database extension for the solar PV supply chain, used to estimate carbon footprints, prices, production, value added, and employment effects under EU Net Zero Industry Act reshoring scenarios. The workflow includes parametric sensitivity analysis. It is a PV-focused fork of the Exiobase HYBRID modelling line.
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
EUのネットゼロ産業法に基づくPVリショアリング分析だが、ハイブリッド産業連関手法は日本の太陽光サプライチェーン分析にも応用可能。日本でも太陽光発電の拡大とサプライチェーン強靭化が重要課題であるため、参考になる。
In the global GX context
This work directly addresses the EU Net Zero Industry Act's reshoring goals, providing a quantitative framework to assess trade-offs between domestic production and imports for solar PV. The hybrid IO database can be adapted to other regions and technologies, supporting global energy transition planning.
👥 読者別の含意
🔬研究者:GX researchers can use this hybrid IO database and workflow to model environmental and socio-economic impacts of solar PV supply chain changes.
🏢実務担当者:Policymakers and analysts in renewable energy can apply this framework to evaluate reshoring scenarios and inform industrial policy.
🏛政策担当者:EU policymakers can leverage these results to assess the impacts of the Net Zero Industry Act on solar PV value chains.
📄 Abstract（原文）
This Zenodo record archives the code, data and reproducible workflows used to build and analyse a photovoltaic (PV) supply-chain extension of the hybrid-units EXIOBASE database. The repository accompanies the study “ Environmental and socio-economic implications of solar PV reshoring under the EU Net Zero Industry Act: a hybrid input–output assessment ”, currently under peer review. The work develops an explicit representation of the solar PV supply chain inside a hybrid multi-regional input-output framework, and uses it to estimate carbon footprints, prices, production, value added and employment effects of solar electricity across regions and policy scenarios. This release is genealogically related to the Exiobase HYBRID | Green steel version database. That database provides the starting point for this work, so the present repository can be understood as a PV-focused fork of the same EXIOBASE HYBRID modelling line. It is not, however, a direct new version of the Green Steel release: the database has been further adapted for this specific PV analysis, including a more aggregated regional structure in which the EU27 is represented as a single region. At a high level, the workflow aggregates the base hybrid-units supply-use database, introduces dedicated PV activities and commodities, applies assumptions on capacity factors, module efficiency, upstream electricity inventories and trade/reshoring scenarios, and exports footprint and socio-economic indicators. A parametric sensitivity design is included to assess how results vary across key modelling assumptions. For technical details, installation instructions, code structure and reproducibility notes, please refer to the GitHub repository
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20667373first seen 2026-06-13 04:13:37
🔔 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。