Renewable Energy Consumption and Energy Accessibility in Kenya
ケニアにおける再生可能エネルギー消費とエネルギーアクセシビリティ (AI 翻訳)
Lydia Jeptoo Kitum, Hillary Ndambiri, Yabesh Ombwori Kongo
🤖 gxceed AI 要約
日本語
本研究はケニアの太陽光、風力、水力、地熱の4種類の再生可能エネルギーがエネルギーアクセスに与える影響をARDLモデルで分析。長期では太陽光、水力、地熱は正の効果、風力は送電網課題により負の効果を示した。政策提言として、太陽光のPAYGモデル強化、タルカナ地域の送電網整備などを提示。
English
This study examines the impact of solar, wind, hydro, and geothermal energy on energy accessibility in Kenya using an ARDL model (1990-2023). Results show solar, hydro, and geothermal have positive long-run effects, while wind has a negative effect due to grid integration issues. Recommendations include strengthening pay-as-you-go solar, upgrading transmission in wind-rich regions, and accelerating geothermal exploration.
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
ケニアの事例は、日本の再エネ導入や途上国支援における教訓となる可能性がある。特に太陽光PAYGモデルや送電網投資の優先順位付けは、アフリカ進出する日本企業にも参考になる。
In the global GX context
This paper provides empirical evidence from Kenya on how different renewable sources affect energy access, relevant for global energy transition discussions, especially for Sub-Saharan Africa. The findings on wind intermittency and grid challenges contribute to the literature on renewable integration in developing countries.
👥 読者別の含意
🔬研究者:Useful for researchers studying renewable energy impact on energy access in developing countries; ARDL methodology and country-specific coefficients are noteworthy.
🏛政策担当者:Provides evidence-based policy recommendations for promoting solar, hydro, and geothermal while addressing wind integration challenges.
📄 Abstract（原文）
Renewable energy is important for enhancing energy accessibility, supporting broader development goals, and ensuring environmental sustainability. This study investigates the influence of four types of renewable energy, namely solar, wind, hydroelectric, and geothermal energy, on energy accessibility in Kenya, guided by the Energy Justice Theory and Energy Stacking Theory. An explanatory research design was adopted using annual secondary data from 1990 to 2023 sourced from the World Bank, IEA, KNBS, and EPRA. Hypotheses were tested through an Autoregressive Distributed Lag (ARDL) model with lag order selected using information criteria. The estimated ARDL (4,4,4,1,4) model reveals that renewable energy sources significantly influence energy accessibility in both the short and long run. Long-run results show that solar energy exerts a positive and statistically significant effect on energy accessibility (β = 73.8975, p = 0.002), hydroelectric energy shows a positive and significant effect (β = 0.8807, p < 0.001), and geothermal energy similarly contributes positively (β = 0.1360, p < 0.001). In contrast, wind energy exhibits a negative and statistically significant long-run relationship (β = -0.2623, p = 0.023), attributed to grid integration challenges and intermittency. The error correction term is negative and significant (β = -5.472, p < 0.001), confirming rapid adjustment to long-run equilibrium. Diagnostic tests confirm that the model is well specified, showing normality, no multicollinearity, homoscedasticity, and no serial correlation. The model explains 97.57% of variation in energy accessibility (R² = 0.9757). The study recommends strengthening pay-as-you-go solar models, upgrading transmission infrastructure in wind-rich regions such as Turkana, modernising hydroelectric infrastructure with climate-smart planning, and accelerating geothermal exploration through concessional financing and private partnerships.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21451301first seen 2026-07-21 04:18:22
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