MODELING FOR INSIGHTS: AN ASSESSMENT OF CLEAN AND AFFORDABLE ENERGY CHOICES AMONG FARMING HOUSEHOLDS IN NORTHEAST, NIGERIA
モデルによる洞察：ナイジェリア北東部の農家世帯におけるクリーンで手頃なエネルギーの選択の評価 (AI 翻訳)
Joshua Chukwu
🤖 gxceed AI 要約
日本語
本研究は、ナイジェリア北東部の農家世帯におけるクリーンエネルギー採用の決定要因を分析した。調査の結果、伝統的バイオマス依存（42.1%）、過渡的なLPG/太陽光採用（35.4%）、クリーンエネルギー固定（22.5%）の3つのプロファイルが特定された。収入、教育、農地面積、紛争への曝露が有意に影響しており、補助金やPAYG融資などの政策が必要であることを示唆している。
English
This study analyzes determinants of clean energy adoption among farming households in Northeast Nigeria. Three profiles emerged: traditional biomass dependent (42.1%), transitional LPG/solar adopters (35.4%), and clean energy committed (22.5%). Income, education, farm size, and conflict exposure significantly influence adoption. Policy should target subsidies and pay-as-you-go financing for the transitional 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
本論文は日本国内のGXに直接関係しないが、日本の国際協力やアフリカでのクリーンエネルギー投資戦略に示唆を与える可能性がある。
In the global GX context
This paper highlights the complex trade-offs between affordability, reliability, and accessibility in clean energy transitions, relevant to global energy access goals and just transition principles. It provides empirical evidence on how conflict and socioeconomic factors shape adoption, informing development finance and policy design.
👥 読者別の含意
🔬研究者:Researchers studying energy poverty and clean energy adoption in developing regions can use this study's empirical findings and multinomial logit methodology.
🏢実務担当者:Practitioners in energy access programs can apply the identified profiles to design targeted interventions, especially for the transitional group.
🏛政策担当者:Policymakers in developing countries can consider conflict-sensitive deployment and pay-as-you-go financing as key strategies.
📄 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.19582186first seen 2026-05-05 19:13:42
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