arXiv (All)
open access
Credit Access is Associated with Improved Food Security in the Horn of Africa
The intensification of climate change poses a growing threat to food security, especially in vulnerable communities. This study employs an observational machine-learning framework to estimate the causal association between access to credit and acute food insecurity in Somalia and across the Horn of
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Machine learning-based approaches to identify key drivers and predict severe food insecurity in Africa.#214200
- Food security and agricultural challenges in West-African rural communities: a machine learning analysis#328772
- From complementarities to constraints: stratified adoption pathways and equity in Kenyan smallholder systems − A Bayesian‑Ising diagnostic#1165814
- Impact of Agricultural Credit and Insurance Schemes on Farm Income Stability and Food Security in Developing Economy: Evidence from Microeconomic Models of Nigerian Farm Households#196489
- What factors determine household food security among smallholder farmers?: insights from Msinga, KwaZulu-Natal, South Africa#217659
Record · ID 1050561
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive