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エネルギー転換を確保するためのエネルギー構成の多様化とレジリエンスに関する研究

Research on diversification and resilience of the energy mix to ensure energy transition (原題)

Dariusz Sala, Alla Stepanivna Polyanska, T Popova, Yuliya Pazynich

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu📚 査読済 / ジャーナル2026-10-27#エネルギー転換経営インパクト: 調達リスク対象セクター: power
DOI: 10.33271/nvngu/2026-5/122
原典: https://doi.org/10.33271/nvngu/2026-5/122
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🤖 gxceed AI 要約

日本語

ウクライナとポーランドを対象に、2013〜2024年のエネルギー構成の多様化とレジリエンスをシャノン・エントロピーとHHIで実証分析した研究。エントロピー上昇とHHI低下が一貫して進み、集中リスクの低下と構造的レジリエンスの改善が確認された。エネルギー政策設計や戦略立案に資する分析枠組みを提示する。

English

This study empirically assesses energy mix diversification and resilience in Ukraine and Poland from 2013 to 2024 using Shannon entropy and the Herfindahl–Hirschman Index. Rising entropy alongside falling HHI confirms a consistent trend toward diversification and reduced concentration risk. It offers an analytical framework to support energy policy design and strategic planning.

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

日本はエネルギー自給率が低く、調達先・電源構成の多様化はGX戦略と経済安全保障の双方に関わる。本稿のエントロピー/HHIによる構成評価は、日本の電源構成や調達リスク評価を議論する際の参照枠になりうる。

In the global GX context

Amid ISSB/TCFD-driven disclosure and transition finance, quantifying energy-mix concentration risk offers a transferable lens for assessing transition resilience. The Ukraine–Poland comparison adds empirical evidence on how geopolitical shocks reshape supply structures in emerging European markets.

👥 読者別の含意

🔬研究者:エネルギー構成の集中度をエントロピーとHHIで測る実証手法の応用例として参照できる。

🏢実務担当者:調達先・電源構成の集中リスクを定量評価する際の指標設計の参考になる。

🏛政策担当者:エネルギー安全保障と転換政策の設計に、構成多様化の定量的な評価軸を提供する。

📄 Abstract(原文)

Purpose. The purpose of this study is to examine the structure of the energy mix as a prerequisite for diversifying energy resources, which determines the resilience of the energy system to external shocks and shapes its internal energy supply potential, and to assess this structure empirically through a comparative analysis of Ukraine and Poland. Methodology. The assessment of energy mix diversification and resilience is based on the integrated application of entropy-based and concentration-based indices, which are widely used in contemporary energy system studies. Shannon entropy is employed to evaluate the degree of structural diversity and balance of the energy mix, reflecting the level of dependence on dominant energy sources. An increase in entropy values indicates a reduction in concentration risks and an improvement in the structural resilience of the energy mix under energy transition conditions. The Herfindahl–Hirschman Index (HHI) is applied as a complementary indicator to validate and interpret the results of the entropy analysis. The consistent dynamics of increasing Shannon entropy and decreasing HHI values confirm a stable trend toward energy mix diversification and reduced concentration risks. Findings. Using the cases of Ukraine and Poland, the study substantiates the structural characteristics and dynamics of the energy mix over the period 2013–2024. The analysis identifies key trends in energy supply transformation and highlights critical turning points that significantly influenced structural changes in the energy mix. The main constraints and drivers of energy resource diversification that determine the resilience of the energy mix under energy transition conditions are identified, providing an analytical basis for energy policy design and managerial decision-making. Originality. The proposed analytical framework, combining Shannon entropy with the Herfindahl–Hirschman concentration index, enables a systematic assessment not only of the structure and evolution of the energy mix but also of the risks associated with excessive reliance on dominant energy sources, accounting for their advantages and limitations. Practical value. The study identifies key directions for energy policy transformation in Ukraine and Poland during 2013–2024, and substantiates the effectiveness of energy resource diversification in enhancing the resilience of the energy mix. The results may support strategic planning and evidence-based management in the energy sector.

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