The impact of climate change on economic growth in Somalia: using random forest and Bayesian approach

The impact of climate change on economic growth in Somalia: using random forest and Bayesian approach

Climate change has emerged as a critical global challenge, significantly impacting economic stability, particularly in developing nations. Somalia, a fragile state with an agriculture-based economy, remains highly vulnerable to climate-induced shocks such as rising temperatures, erratic rainfall pat...

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Bibliographic Details
Main Authors: Bashir Mohamed Osman, Mohamud Hussein Mohamud, Abdi Falir Omar, Abdikadir Ali Yabarow, Omar Mohamed Omar, Mohamed sheikh Ali Jirow, Abdinasir Nur Dahir, Anisa Mohamed Nur
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Cogent Economics & Finance
Subjects:
Climate change
economic growth
machine learning
bayesian Regression
SHAP
Somalia
Online Access:https://www.tandfonline.com/doi/10.1080/23322039.2025.2496684
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https://www.tandfonline.com/doi/10.1080/23322039.2025.2496684

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