← 論文一覧に戻る

A Comparative Index for Measuring Energy Transition in Developed and Emerging Economies Under Structural Asymmetries

構造的非対称性の下での先進国・新興国におけるエネルギー転換測定のための比較指数 (AI 翻訳)

Ainhoa Rubio-Clemente, Sergio Agudelo, Edwin Chica

Sci📚 査読済 / ジャーナル2026-07-02#エネルギー転換Origin: Global対象セクター: cross_sector
DOI: 10.3390/sci8070155
原典: https://doi.org/10.3390/sci8070155

🤖 gxceed AI 要約

日本語

本研究は主成分分析を用いて、先進国（GNETI）と新興国（GSETI）のエネルギー転換指数を独立に構築し、2013～2022年のパフォーマンスを比較した。2022年のGNETIでは日本が11.86で最下位、スウェーデンが100.00で首位。GSETIではガーナが最高、南アフリカが最低。地域間で技術力、再生可能エネルギー導入、エネルギー安全保障に大きな差異があることを示した。

English

This study develops independent energy transition indices for Global North (GNETI) and Global South (GSETI) using PCA, evaluating 7 countries each from 2013-2022. In 2022, Sweden leads GNETI (100.00) while Japan ranks lowest (11.86). Ghana tops GSETI (90.39), South Africa at bottom (18.70). Results reveal significant regional differences in technological capability, renewable energy uptake, and energy security.

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

日本はGNETIで最下位とエネルギー転換の遅れが顕著であり、SSBJやエネルギー基本計画の見直しに示唆を与える。日本の政策立案者にとって、国際比較における自己位置把握が重要。

In the global GX context

The index provides a novel comparative framework highlighting structural asymmetries between developed and emerging economies, useful for international climate policy discussions and transition finance prioritization.

👥 読者別の含意

🔬研究者:Researchers in energy transition can adopt the dual-index methodology for regional comparisons.

🏢実務担当者:Corporate sustainability teams in Japan can benchmark their country's performance and identify gaps.

🏛政策担当者:Policymakers in Japan should note the low ranking and consider policy acceleration.

📄 Abstract（原文）

This study develops two independent energy transition indices, the Global North energy transition index (GNETI) and the Global South energy transition index (GSETI), using principal component analysis (PCA) to evaluate energy transition performance during the period 2013–2022. Each index was calculated independently using a balanced panel of 70 observations, corresponding to 7 countries observed over 10 years. The Global North sample includes Denmark, Germany, Sweden, Japan, Canada, the United Kingdom, and the United States; while the Global South sample includes India, Brazil, South Africa, Indonesia, Mexico, Colombia, and Ghana. For the Global North, PCA results show that PC1 explains 59.68% of the total variance, while PC2 and PC3 describe 21.10% and 17.42% of the total variance, respectively. The first two components account for 80.78% of the total variance, while the first three components explain 98.20%, confirming the robustness of the index structure. The 2022 GNETI values indicate that Sweden has the highest performance (100.00), followed by Denmark (71.01), Canada (66.50), the United Kingdom (40.51), Germany (36.46), the United States (34.45), and Japan (11.86). The PCA results show that PC1, PC2, and PC3 explain 58.76%, 21.99%, and 9.63%, respectively, of the total variance. The cumulative variance described confirms the adequacy of the PCA approach for constructing the GSETI. In 2022, the highest GSETI values were observed in Ghana (90.39), Colombia (85.06), Brazil (70.98), India (59.00), Indonesia (52.97), Mexico (47.72), and South Africa (18.70). The findings indicate significant regional differences in the pathways of energy transition, based on variability in technological capability, renewable energy uptake and resources, energy security levels, and the fundamental structure of state energy systems.

🔗 Provenance — このレコードを発見したソース

🔔 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。