Solar Use Dynamics in Uganda: Household Characteristics and Energy Choice Factors
ウガンダにおける太陽光利用の動態：家計特性とエネルギー選択要因 (AI 翻訳)
Grace Alinaitwe, Florence Barugahara
🤖 gxceed AI 要約
日本語
本研究はウガンダの全国調査データを用い、多変量プロビットモデルで太陽光発電導入の決定要因を分析。収入、貯蓄、教育が非系統世帯での導入を促進する一方、系統アクセスや都市居住は導入を抑制。農村部では男性世帯主や貯蓄保有が導入確率を高める。結果はマイクロファイナンスや農村貯蓄促進など政策介入の根拠を提供する。
English
Using Ugandan national survey data and a multivariate probit model, this study analyzes household solar PV adoption determinants. Income, savings, and education significantly predict uptake among off-grid households, while grid access and urban residence reduce adoption likelihood. Gender and savings play stronger roles in rural areas. Findings support targeted interventions such as microfinance and rural savings programs to lower upfront barriers.
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
本論文はウガンダを対象としているが、日本政府が推進するアフリカでのクリーンエネルギー支援や、国内のオフグリッド・再生可能エネルギー政策への示唆を含む。特に「分散型エネルギー×マイクロファイナンス」の有効性を実証しており、日本のエネルギーアクセス国際協力に参考となる。
In the global GX context
This study provides empirical evidence on solar adoption in off-grid contexts, offering insights for global energy access initiatives and renewable energy policy. While focused on Uganda, the methodological approach (multivariate probit with heterogeneity) is transferable to other developing regions and contributes to understanding decentralized energy transitions within the global GX agenda.
👥 読者別の含意
🔬研究者:Provides rigorous empirical evidence on solar PV adoption determinants in an East African context, useful for comparative energy transition studies.
🏢実務担当者:Highlights key factors (income, savings, education) and policy levers (microfinance, rural savings) for designing off-grid solar programs in similar settings.
🏛政策担当者:Emphasizes the need for integrated strategies combining grid and off-grid solutions, with targeted interventions for rural, non-grid households.
📄 Abstract（原文）
This study analyzes household solar photovoltaic (PV) adoption in Uganda using data from the 2018–2019 National Panel Survey and a multivariate probit modeling approach, jointly examining how financial, demographic, and contextual factors shape energy source choices. By explicitly distinguishing between grid-connected and off-grid households, the analysis captures heterogeneity in access constraints, enabling more refined insights into energy transitions. Empirical results reveal that household income, savings, and education significantly predict solar PV uptake among non-grid-connected communities, with rural households likely to adopt, especially when these attributes are present. In contrast, grid access and urban residence decrease the likelihood of solar adoption, emphasizing a substitution effect between grid electricity and solar solutions; additionally, gender and savings play more pronounced roles in rural areas, where male-headed households and those maintaining savings show higher adoption rates. The findings recommend targeted interventions—such as microfinance expansion, rural savings initiatives, and enhanced information campaigns—to lower upfront barriers and accelerate solar PV adoption, while emphasizing the need for integrated, equitable strategies that blend centralized and decentralized energy pathways for sustainable development in Uganda.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.32479/ijeep.24152first seen 2026-07-27 04:53:09
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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。