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RIR-2049 · Logged 13 July 2026

Evaluating Long-term Socio-Economic Impacts of Agroforestry Adoption on Smallholder Livelihood Resilience

Agroforestry is often promoted for sustainability, yet its long-term impact on smallholder livelihoods remains complex. This study evaluates the comparative socio-economic outcomes of agroforestry versus conventional practices in Eastern Ethiopia.

Open to researchQuality 85/100Prior-standard auditP4 provenance
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In plain words

Does growing trees among crops leave small farmers in Eastern Ethiopia better off over the long run than ordinary farming? The answer could guide policies that aim to improve the lives and incomes of these farmers.

Primary research question

How does the adoption of agroforestry practices influence the long-term socio-economic resilience of smallholder farmers?

Knowledge gap

What remains worth asking

It remains useful to test whether agroforestry provides consistent socio-economic benefits compared to conventional farming across different household types.

Potential contribution

Why it may matter

Evidence-based insights will inform policy interventions aimed at improving smallholder livelihoods through sustainable land use.

Academic placement

Academic fields and topic tags

Agricultural EconomicsDevelopment StudiesAgroforestry

Study frame: Smallholder farming communities in Eastern Ethiopia. · Method signals: Survey Research, Econometric Analysis, Qualitative Interviews

Possible study pathways

One question, different levels

Postgraduate diploma

Sustainable development

Research master’s

Development economics

Doctoral

Rural sociology

originality
Moderate
methodology
Moderate
Data access
Moderate
ethics
Moderate

Quality and audit

85/100 quality

Safeguard-based audit was not recorded under the prior standard.

  • Requires careful ethical consideration of community engagement
  • Focus on longitudinal household data
  • Open-access scholarly source and DOI metadata verified
Current safeguards were not recorded

This older record can be checked against the current standard on request. It changes only if every academic gate and independent safeguard passes.

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Provenance

Research Idea curation

  • DOI and bibliographic metadata independently resolved
  • Open-access status verified
  • The research direction is transparently marked as AI-inferred

The public contributor code contains no name or account email.

APA 7 source

Reshad, M., Asfaw, Z., Mohammed, M., & Woldeamanuel, T. (2025). Comparative analysis of agroforestry and Non-agroforestry practices for sustainable livelihoods in Eastern Ethiopia. Discover Sustainability, 7(1), Article 39. https://doi.org/10.1007/s43621-025-02390-4

Paper abstract and discussion context; AI-inferred direction

This is an AI-inferred direction. The source authors did not state it as a recommendation.

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