データセット:ブラジル連邦構成単位間のエネルギー転換パフォーマンスと準備度のベンチマーク(地方エネルギー転換指数SETI)
Dataset for: Benchmarking energy-transition performance and readiness across Brazilian federative units (Subnational Energy Transition Index, SETI) (原題)
Juliani Chico Piai Paiva, Pedro Henrique Cho Riuzim, Renato Kazuo Miyamoto
🤖 gxceed AI 要約
日本語
世界経済フォーラムのエネルギー転換指数をブラジル27連邦構成単位に適用した地方版指数(SETI)のデータセット。システム性能(60%)と転換準備度(40%)の2次元で33指標を統合し、州別スコアと順位を算出。2023〜2024年の州レベル規制・行政イニシアチブの手作業調査も含み、全工程を再現可能な形で公開する。
English
A reproducible dataset underpinning the Subnational Energy Transition Index (SETI), adapting the WEF Energy Transition Index to Brazil's 27 federative units. It combines 33 indicators across System Performance (60%) and Transition Readiness (40%), with normalized values, hierarchical weights, scores and rankings, plus a manual survey of 2023–2024 state-level regulatory and executive initiatives.
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
日本では都道府県別のGX・エネルギー転換評価がまだ限定的であり、サブナショナル指標の設計手法(重み付け構造・規制サーベイの体系化)は地域脱炭素政策や地方自治体のトランジション評価に応用可能な示唆を持つ。
In the global GX context
Subnational energy-transition benchmarking is underdeveloped in global disclosure scholarship, which remains firm- and country-centric. SETI's transparent weighting hierarchy and regulatory survey methodology offer a replicable template for regional transition-readiness assessment relevant to ISSB/CSRD-aligned subnational and jurisdictional reporting.
👥 読者別の含意
🔬研究者:サブナショナル指数の構築・重み付け・正規化手法の再現可能な実例として、地域エネルギー転換の計量研究に有用。
🏢実務担当者:ブラジルに拠点・サプライチェーンを持つ企業が州別の規制環境やエネルギー転換準備度を評価する際の参照データとなる。
🏛政策担当者:地方自治体のエネルギー転換政策立案・ベンチマーキングの枠組み設計に参考となる。
📄 Abstract(原文)
This dataset supports the Subnational Energy Transition Index (SETI), an adaptation of the World Economic Forum’s Energy Transition Index to the 27 Brazilian federative units (26 states and the Federal District). It contains the raw indicator data, the min-max normalized values, the hierarchical weighting structure and the resulting scores and rankings, so that every step of the index can be reproduced. SETI combines 33 indicators in two dimensions: System Performance (60%; Equity, Security and Sustainability pillars, one-third each) and Transition Readiness (40%; Regulatory Framework & Investment and Enabling Factors, 50% each). Indicators are normalized to 0–100 (min-max, benefit/cost orientation), weighted through the hierarchy (weight = dimension weight × pillar weight × 1/number of subcategories × 1/number of indicators) and aggregated by weighted linear sum. The regulatory pillar is built from a manual survey of state-level legislative and executive initiatives published in 2023–2024 (normative axis: laws, decrees, resolutions; executive axis: programs, plans, actions), classified by type, energy source, stage of implementation and stance. Data sources: [list agencies, e.g. ANEEL, ANP, EPE/BEN, IBGE, SEEG, ...]. Reference period: [2023–2024]. Spatial coverage: Brazil, 27 federative units. Language: sheet and column names are in Portuguese. Description of files (sheets) Indice_ARTIGO: indicators used in the article (raw values, normalized values and weights). Indice_NORMALIZADO, Equidade, Segurança, Sustentabilidade, Regulamentar_Investimento, Fatores_Habilitadores: normalized indicators and scores by pillar. classificação and heatmap: pillar scores and ranks by state. dados_QGIS: overall and pillar scores used to build the maps. CALC: scoring of the regulatory pillar (counts of regulations and initiatives, weighted score, relative 0–100 score). Eixo_Normativo_2023_2024, Eixo_Executivo_2023, Eixo_Executivo_2024: initiative-level survey (name, type, description, source link, publication date, stage, energy source, stance). Gráficos_*: summary counts used for charts.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.17632/h8j7zst3xcfirst seen 2026-11-07 04:41:10 · last seen 2026-11-13 04:52:01
🔔 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。