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Beyond access: Income, housing, and the persistence of energy poverty in Nepal

アクセスを超えて:ネパールにおける所得、住宅、そしてエネルギー貧困の持続 (AI 翻訳)

Alberto Egea, R. Herrero-Martín, Durgaprasad Bhandari, Efthimios Zervas, A. Garcı́a

Energy Policy📚 査読済 / ジャーナル2026-05-31#energy_povertyOrigin: Global
DOI: 10.1016/j.enpol.2026.115410
原典: https://doi.org/10.1016/j.enpol.2026.115410

🤖 gxceed AI 要約

日本語

本論文はネパールの家計調査データを用い、エネルギー貧困の多面的要因を分析。収入、住宅状態、世帯規模が主な決定要因であり、アクセス拡大だけでは不十分であることを示す。

English

Using original household survey data from Nepal, this paper analyzes the multidimensional determinants of energy poverty. Results show that income, housing conditions, and household size are key factors, and that expanded access alone does not ensure transition to modern energy.

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

ネパールの事例ではあるが、日本のエネルギー貧困議論(例:断熱改善、燃料費高騰)にも示唆を与える。ただしSSBJやTCFDとの直接の連関は薄い。

In the global GX context

While focused on Nepal, this paper provides empirical evidence on the persistence of energy poverty despite access expansion, relevant to global discussions on just transition and energy affordability.

👥 読者別の含意

🔬研究者:Highlights the need for multidimensional measures of energy poverty beyond access metrics.

🏛政策担当者:Emphasizes that policies must address income, housing quality, and behavioral factors, not just access.

📄 Abstract(原文)

This paper examines the multidimensional nature of energy poverty in Nepal using original household survey data. While recent policies have focused on expanding access to electricity and modern fuels, less attention has been paid to the socio-economic and behavioural drivers of household energy vulnerability. The analysis combines descriptive statistics with inferential methods, including chi-square tests, Spearman correlations, and a binary logistic regression model, to identify the determinants of energy poverty, defined as households spending more than 10% of their income on energy. Results show that energy poverty is shaped by the interaction of economic, structural, and behavioural factors. Income emerges as the main determinant, with higher-income households significantly less likely to be energy poor, while household size increases vulnerability. Housing conditions, particularly lack of insulation and dampness, also play a significant role. Gender and biomass use are positively associated with energy vulnerability. The persistence of fuel stacking indicates that increased access does not ensure a transition to modern energy. The findings highlight the need for integrated policies addressing affordability, housing quality, and social inequalities beyond access-based approaches.

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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。