MODELING FOR INSIGHTS: AN ASSESSMENT OF CLEAN AND AFFORDABLE ENERGY CHOICES AMONG FARMING HOUSEHOLDS IN NORTHEAST, NIGERIA
洞察のためのモデリング：ナイジェリア北東部の農業世帯におけるクリーンで手頃なエネルギー選択の評価 (AI 翻訳)
Joshua Chukwu
🤖 gxceed AI 要約
日本語
ナイジェリア北東部の農業世帯を対象に、クリーンエネルギー採用の決定要因を分析。所得、教育、農地面積が正の影響、紛争曝露が負の影響を与えることを示し、補助金や段階的支払い制度の重要性を提言。
English
This study examines determinants of clean energy adoption among 387 farming households in Northeast Nigeria. Income, education, and farm size positively influence adoption, while conflict exposure reduces it. Policy recommendations include targeted subsidies and pay-as-you-go financing to support the transitional adopter group.
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
日本のGX文脈では直接的な関連は薄いが、紛争地域での再生可能エネルギー導入の障壁を理解する上で参考になる。日本企業のアフリカ展開やODA事業への示唆を含む。
In the global GX context
While not directly tied to global disclosure frameworks like TCFD or ISSB, this paper contributes to the empirical literature on clean energy access in fragile states, offering insights for international development and energy transition programs.
👥 読者別の含意
🔬研究者:Energy access researchers can use the multinomial logit model and findings on conflict as a barrier to clean energy adoption.
🏢実務担当者:NGOs and energy companies working in conflict-affected regions can learn about the importance of affordability and conflict-sensitive deployment.
🏛政策担当者:Policymakers in developing countries can consider targeted subsidies and pay-as-you-go models to accelerate the clean energy transition among vulnerable populations.
📄 Abstract（原文）
Background: Energy poverty remains pervasive among farming households in Northeast Nigeria, exacerbated by conflict, climate variability, and limited grid infrastructure. Despite abundant solar potential, adoption of clean energy solutions remains suboptimal. Objective: This study identifies the determinants of clean energy adoption choices among farming households and quantifies the trade-offs between affordability, reliability, and accessibility. Methods: A cross-sectional survey of 387 farming households across Adamawa, Borno, and Yobe States was conducted. Multinomial logit regression was employed to model energy choice determinants, supplemented by descriptive analysis and thematic insights from focus group discussions. Results: Three distinct energy choice profiles emerged: (1) traditional biomass dependent (42.1%), (2) transitional LPG/solar adopters (35.4%), and (3) clean energy committed (22.5%). Income (OR=1.84, p<0.01), education (OR=2.15, p<0.001), farm size (OR=1.32, p<0.05), and conflict exposure (OR=0.67, p<0.05) significantly influenced adoption. Affordability constraints were cited by 68% of non-adopters. Conclusion: Clean energy transition requires targeted subsidies, pay-as-you-go financing, and conflict-sensitive deployment strategies. Policy should prioritize the "transitional" group as the most viable pathway to universal clean energy access.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.19582187first seen 2026-05-05 19:13:42
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