Tracking the Energy Transition of Spanish Firms (2023–2025): A Large-Scale Web and LLM-Based [Dataset]
スペイン企業のエネルギー転換の追跡（2023-2025）：大規模Web・LLMベース[データセット] (AI 翻訳)
Xavier Martínez-Barbero, Ana Pastor-Merino, Josep Domenech
🤖 gxceed AI 要約
日本語
本論文は、スペインの104,553社の企業ウェブサイトをLLMで解析し、エネルギー効率化、脱炭素、再生可能エネルギー導入の実践を州・産業別に集計したデータセットを紹介する。2023年と2025年の2時点での比較が可能で、企業のエネルギー転換の実態を大規模に捉える枠組みを提供する。
English
This paper presents a nationwide dataset of 104,553 Spanish firms, using LLMs to extract energy transition practices (efficiency, decarbonization, renewables) from corporate websites. Aggregated at province, sector, and size levels for 2023 and 2025, it enables temporal analysis and offers a reproducible framework for sustainability research.
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SSBJ対応や有報での気候関連開示が進む中、企業の実践行動をウェブ情報から大規模に把握する手法は、開示の実効性検証や政策評価に応用可能。ただし本データセットはスペイン対象で、日本の制度に直接適用するには調整が必要。
In the global GX context
This dataset demonstrates a scalable method for tracking corporate energy transition via web text, relevant to global disclosure scholarship (TCFD/ISSB) as it provides empirical evidence of firm-level actions beyond voluntary disclosures. The LLM-based pipeline can be adapted to other countries or frameworks.
👥 読者別の含意
🔬研究者:A large-scale, reproducible dataset and LLM methodology for analyzing corporate energy transition across regions and sectors.
🏢実務担当者:The approach can be used to benchmark a firm's energy transition communication against industry peers, but requires customization for specific contexts.
🏛政策担当者:Offers a cost-effective way to monitor regional and sectoral progress on energy transition, supporting evidence-based policy evaluation.
📄 Abstract（原文）
This article introduces a nationwide dataset that maps how 104,553 Spanish firms communicate and implement energy transition practices on their corporate websites in 2023 and 2025. Using a scalable pipeline based on large language models (LLMs), website text is segmented, semantically filtered, and evaluated through a structured rubric designed to identify explicit evidence of: (1) energy efficiency and energy consumption reduction actions, (2) decarbonization and greenhouse gas emissions reduction strategies, and (3) the use, production, or procurement of renewable energy. The resulting indicators are aggregated at the province (NUTS-3), sector (NACE 2-digit), and firm-size level, providing a detailed picture of corporate energy transition patterns across the Spanish economy. To preserve anonymity and statistical robustness, only aggregated cells containing at least four firms with valid website content are included in the public dataset. For each province–sector–size combination, the dataset reports the share of firms associated with each transition dimension together with the number of firms represented in the cell. By covering two years, the dataset enables the analysis of temporal changes in corporate sustainability and energy transition strategies across regions, industries, and firm-size categories. The dataset provides a reproducible and extensible framework for studying energy transition dynamics using web-based evidence and LLM-assisted classification, offering valuable applications for sustainability research, regional analysis, industrial transformation studies, and energy policy evaluation.
🔗 Provenance — このレコードを発見したソース
- openalex https://riunet.upv.es/handle/10251/235457first seen 2026-06-20 05:10:58
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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。