Sustainability Uncertainty and Energy Poverty Inequality in Major Asian Economies: Implications for Sustainable Development Goals 7: Wavelet Coherence Approach
主要アジア経済圏におけるサステナビリティの不確実性とエネルギー貧困格差：持続可能な開発目標7への示唆（ウェーブレットコヒーレンスアプローチ） (AI 翻訳)
Rizwana Yasmeen
🤖 gxceed AI 要約
日本語
本研究は2002～2022年のアジア主要国におけるエネルギー貧困格差を分析。Theil指数で測定し、ウェーブレットコヒーレンスによりサステナビリティの不確実性（SU）との関係を解明。パキスタンで格差が大きく、インドでは政策効果で改善。中国・ベトナムは低格差を維持。農村部の移行が地域格差の主因であり、SUと格差に高いコヒーレンスを確認。
English
This study analyzes energy poverty inequality in major Asian economies from 2002-2022 using the Theil Index and wavelet coherence with sustainability uncertainty (SU). Pakistan shows the highest inequality, India sees sharp declines after 2010 due to targeted policies, while China and Vietnam maintain low inequality. Rural energy access drives over two-thirds of regional disparities. High coherence between SU and inequality is found, with SU often leading during economic stress.
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
本論文は日本のエネルギー政策に直接関係しないが、アジア全体のエネルギー貧困の構造を理解する上で有用。特に日本企業がアジアサプライチェーンにおいてクリーンクッキング燃料へのアクセスを考慮する際の背景情報となる。
In the global GX context
This paper provides empirical evidence on energy poverty inequality across major Asian economies, highlighting the role of rural transition pathways. While not directly about climate disclosure, it offers context for global investors and policymakers concerned with SDG7 and energy access as a dimension of just transition.
👥 読者別の含意
🔬研究者:Energy poverty researchers can use the wavelet coherence methodology to study time-varying relationships between sustainability uncertainty and inequality.
🏢実務担当者:Corporations involved in energy access or clean cooking fuel value chains in Asia can gain insights into regional disparities and policy impacts.
🏛政策担当者:Policymakers in developing Asia can learn from the differential success of policies in India vs. Pakistan to design targeted interventions for reducing rural energy poverty.
📄 Abstract（原文）
ABSTRACT Energy poverty inequality remains a major barrier to achieving Sustainable Development Goal 7 (SDG 7), particularly in developing Asian economies. This study examines the dynamics of energy poverty inequality over the period 2002–2022, with a focus on urban–rural disparities in electricity access and clean cooking fuel access. Energy poverty inequality is measured using the Theil Index, while wavelet multivariate coherence analysis is employed to explore the time‐varying relationship between sustainability uncertainty (SU) and energy inequality. Clean cooking fuel inequality is higher than electricity inequality. Pakistan exhibits the highest internal inequality, with clean fuel Theil values exceeding 0.30 in the early 2000s and remaining above 0.15 by 2022, indicating slow convergence. India records a sharp decline in clean fuel inequality after 2010, with Theil values falling by more than 60%, reflecting the impact of targeted policies, though residual rural gaps persist. In contrast, China and Vietnam maintain consistently low inequality levels, with electricity access inequality approaching zero and clean fuel inequality falling below 0.05 by the end of the sample period. Between‐country decomposition reveals that rural energy access accounts for over two‐thirds of regional energy poverty inequality, highlighting rural transition pathways as the dominant driver of disparities in Asia. Wavelet coherence results show persistently high coherence (often above 0.70) between SU and energy poverty inequality. Phase analysis indicates SU frequently leads inequality during periods of economic stress, while sustained energy inequality amplifies long‐term sustainability risks. These findings emphasize that reducing energy poverty inequality is essential for achieving SDG 7.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/sd.71319first seen 2026-06-20 05:43:30
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