Data on renewable targets
再生可能エネルギー目標に関するデータ (AI 翻訳)
Chaianong, Aksornchan, Günkördü, Dogukan, Malhotra, Puru, Milioritsas, Ioannis, Weko, Silvia, Lilliestam, Johan
🤖 gxceed AI 要約
日本語
このデータセットは、パリ協定署名国すべての再生可能エネルギー（電力および最終エネルギー消費）目標を、機械可読形式で2001年から2023年まで収録している。研究者や政策立案者が国際的な気候目標の進捗を追跡・比較するための基盤を提供する。
English
This dataset provides machine-readable data on renewable energy (electricity and final energy consumption) targets for all Paris Agreement signatories from 2001 to 2023. It enables researchers and policymakers to track and compare progress on global climate goals.
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
日本にとっても、自国の再生可能エネルギー目標を国際比較する上で有用なデータソースとなる。日本政府の2030年目標や2050年カーボンニュートラル目標の達成度を評価する際のベンチマークとして活用できる。
In the global GX context
This dataset is a valuable resource for global GX scholarship, providing consistent, longitudinal data on renewable energy targets across all Paris Agreement signatories. It supports cross-country analysis and can inform policy evaluation and target-setting in the context of ISSB and transition finance frameworks.
👥 読者別の含意
🔬研究者:Comprehensive dataset for analyzing global renewable energy target trends and cross-country comparisons.
🏛政策担当者:Useful for benchmarking national renewable targets and evaluating policy ambition relative to peers.
📄 Abstract（原文）
Data on renewable targets This dataset contains detailed, machine-readable data on renewable (electricity and final energy consumption) targets for all Paris Agreement signatories for the years 2001-2023. This dataset was developed by Aksornchan Chaianong, Dogukan Günkördü, and Puru Malhotra, from 2024 to January 2026. Aksornchan Chaianong led the work, with support from Ioannis Milioritsas, Silvia Weko, and Johan Lilliestam. The data is published with CC BY-SA 4.0. Please cite it as : Chaianong, A., Günkördü, D., Malhotra P., Milioritsas, I., Weko, S., and Lilliestam, J. (2026): Data on renewable targets (Version 3, July 2026). Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen- Nürnberg. DOI: 10.5281/zenodo.18482541. The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy consortium. The work was funded by the German Research Foundation (DFG) – 501865131 within the German National Research Data Infrastructure (NFDI, www.nfdi.de). Aksornchan Chaianong would also like to thank the Office for Equal Opportunities for Women in Science and the Arts at the School of Business, Economics, and Law at FAU Erlangen-Nürnberg for the Individual Career Development funding. The data are, to the best of our knowledge, correct, but we assume no responsibility for any remaining data errors or publication errors. Should you find errors or have data to fill gaps, please contact [email protected] . Note: the previous version of the dataset is V2, and is no longer up to date.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21106558first seen 2026-07-06 04:21:02
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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。