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June 1, 2026Environmental Challenges1 citationsOpen Access

Irrigation-Energy Transition Nexus and Sustainable Agricultural Productivity: Evidence from Panel Microdata in Southern Ethiopia

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TGTeklu GebretsadikMZMeaza ZenebeMAMitiku Ayele

Key Points

  • This study aims to quantify how irrigation adoption and modern energy access affect agricultural performance and sustainability.
  • Analyzed a 32,000-household panel dataset from Southern Ethiopia.
  • Utilized a Fixed Effects Instrumental Variable model, along with Difference-in-Differences and Random Effects models for robustness.
  • Employed Structural Equation Modeling to examine direct and indirect effects.
  • Irrigation adoption improves productivity by 34.2%; energy access improves it by 28.1%; their interaction yields an additional 15.6% gain.
  • DID estimates reveal post-adoption productivity increases of 28% for irrigation and 23% for energy, with a combined effect of 14%.
  • Energy access enhances sustainability by facilitating irrigation, leading to increased productivity and income.

Abstract

Improving smallholder agricultural productivity while ensuring environmental sustainability remains a major development challenge in semi- arid regions, where water scarcity and limited access to modern energy constrain farm performance. Despite growing recognition of the irrigation–energy–agriculture nexus, empirical evidence quantifying their combined effects on productivity, income, and sustainability at scale remains limited. This study addresses this gap by examining how irrigation adoption and modern energy access jointly influence agricultural performance using a 32, 000- household panel dataset from Southern Ethiopia. The study aims to (i) estimate the causal impacts of irrigation and energy adoption on productivity, (ii) test whether their interaction produces synergistic effects, and (iii) assess downstream impacts on income and sustainability outcomes. Methodologically, the analysis employs a Fixed Effects Instrumental Variable (FE–IV) model as the baseline to address endogeneity, complemented by Difference- in- Differences (DID) and Random Effects (RE) models for robustness, and Structural Equation Modeling (SEM) to quantify direct and indirect pathways. Results show that irrigation adoption increases productivity by 34. 2%, energy access raises productivity by 28. 1%, and their interaction yields an additional 15.6. 6% gain, confirming strong complementarities. DID estimates indicate post- adoption productivity improvements of 28% for irrigation and 23% for energy, with a combined 14% additional effect, validating causal inference. Heterogeneity analysis reveals larger gains for farms above 2 hectares, households in low- rainfall areas, and male- headed households, while smaller farms and female- headed households experience comparatively lower benefits. SEM findings further demonstrate that energy access indirectly improves sustainability by enabling irrigation, which increases productivity and income, ultimately supporting climate- smart farming practices. Overall, the study provides robust empirical evidence that integrated investments in irrigation and modern energy infrastructure yield synergistic gains in productivity, income, and sustainability. Policy recommendations include expanding rural energy and irrigation infrastructure, prioritizing drought- prone areas, and designing targeted support programs for smallholders and female- headed households. These findings highlight that coordinated agriculture–energy policies can accelerate rural development, strengthen efficient agricultural transformation, and enhance food security in water- constrained regions.

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Cite This Study

Gebretsadik et al. (2026) studied this question.

synapsesocial.com/papers/6a1d234302fbce9130638e5ahttps://doi.org/10.1016/j.envc.2026.101535
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