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FROM ENERGY ACCESS TO AGRICULTURAL RESILIENCE: DETERMINANTS AND ECONOMIC IMPACTS OF SOLAR-POWERED IRRIGATION ADOPTION AMONG SMALLHOLDER FARMERS IN SOUTHWESTERN NIGERIA. (INTERNATIONAL JOURNAL OF AGRICULTURAL ECONOMICS, ENERGY TRANSITION & RURAL DEVELOPMENT)

エネルギーアクセスから農業レジリエンスへ：ナイジェリア南西部の小規模農家における太陽光灌漑導入の決定要因と経済的影響 (AI 翻訳)

Olorunfemi Bolaji Asore

Figshare📚 査読済 / ジャーナル2026-07-21#再生可能エネルギーOrigin: Global経営インパクト: コスト削減対象セクター: agriculture
DOI: 10.6084/m9.figshare.33052964.v1
原典: https://doi.org/10.6084/m9.figshare.33052964.v1

🤖 gxceed AI 要約

日本語

ナイジェリア南西部の小規模農家を対象に、太陽光灌漑システム（SPIS）の導入要因と経済効果を実証分析。導入により収量38.4%増、純農家所得46.2%増、燃料費62.5%減を確認。IoTセンサー等の精密灌漑で水利用効率34%向上の可能性も提示。

English

This study empirically analyzes determinants and impacts of solar-powered irrigation adoption among smallholder farmers in Southwestern Nigeria. Using survey data from 1,240 households and econometric methods, it finds significant increases in yields (38.4%), net income (46.2%), and dietary diversity, with a 62.5% reduction in fuel costs. It also proposes IoT-based precision irrigation to improve water efficiency by 34%.

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

日本では再生可能エネルギー導入による農業のレジリエンス強化が注目されており、本研究成果は途上国での太陽光灌漑の経済効果を示す好事例。日本の農業技術やIoTソリューションの輸出可能性にも示唆を与える。

In the global GX context

This paper provides rigorous empirical evidence on the economic viability of solar irrigation in Sub-Saharan Africa, relevant to global discussions on climate-resilient agriculture and energy access. It highlights the role of financing models and technical support, offering insights for international development and clean energy transitions.

👥 読者別の含意

🔬研究者:Provides robust causal estimates of SPIS impacts and identifies key adoption drivers, useful for further research on agricultural technology adoption.

🏢実務担当者:Highlights the importance of credit access and technical support for scaling solar irrigation; PAYG financing models could be replicated.

🏛政策担当者:Offers evidence for policies promoting solar irrigation to enhance food security and reduce fossil fuel dependence in agriculture.

📄 Abstract（原文）

Sub-Saharan Africa’s agricultural sector faces a dual crisis: intensifying climate variability and severe energy poverty. In Southwestern Nigeria, rainfed smallholder farming systems are increasingly vulnerable to erratic rainfall patterns, prolonged dry spells, and rising fuel prices for conventional petrol- and diesel-powered water pumps. Solar-Powered Irrigation Systems (SPIS) have emerged as a transformative clean energy technology with the potential to decouple agricultural production from fossil fuel dependency, enhance climate resilience, and improve rural livelihoods. However, empirical evidence regarding the socio-technical determinants of adoption and the rigorous causal impacts on farm performance remains fragmented. This study conducts an extensive empirical investigation using primary survey data collected across six Southwestern Nigerian states (Oyo, Ogun, Osun, Ondo, Ekiti, and Lagos), sampling 1,240 smallholder horticultural and arable crop farming households. Utilizing a robust econometric framework, combining a Binary Probit Model, Propensity Score Matching (PSM), and an Endogenous Switching Regression (ESR) model to control for unobserved selection bias, we identify key drivers of SPIS adoption and quantify its economic impacts. Our findings reveal that access to agricultural credit, land tenure security, extension contact, cooperative membership, off-farm income, and local solar technical support significantly increase the likelihood of SPIS adoption. High initial capital cost and market information asymmetry remain primary structural bottlenecks. Econometric estimation demonstrates that SPIS adoption yields a statistically significant increase in crop yield per hectare (38.4%), net farm income (46.2%), household dietary diversity score (29.1%), and a 62.5% reduction in seasonal fuel expenditure. Furthermore, we explore the integration of Computer Science innovations, specifically IoT-based smart sensors, mobile algorithmic scheduling, and automated solar pump controllers, which optimize water application efficiency by 34% compared to uncalibrated solar flooding. We propose targeted strategic interventions, including Pay-As-You-Go (PAYG) financing models, decentralized solar technical centers, and data-driven precision irrigation frameworks to scale sustainable agricultural intensification in Southwestern Nigeria.

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