Essays on energy and climate change in Sub- Saharan Africa And Nigeria: evidence and impact

• Autores: Samuel Chibuzor Umeh
• Directores de la Tesis: Luis Alberiko Gil Alaña (dir. tes.), Anil Markandya (codir. tes.), Marta Escapa García (tut. tes.)
• Lectura: En la Universidad del País Vasco - Euskal Herriko Unibertsitatea ( España ) en 2025
• Idioma: inglés
• Programa de doctorado: Programa de Doctorado en Economía: Instrumentos del Análisis Económico por la Universidad de Cantabria; la Universidad de Oviedo y la Universidad del País Vasco/Euskal Herriko Unibertsitatea
• Materias:
  • Ciencias económicas
• Enlaces
  • Tesis en acceso abierto en: ADDI
• Resumen

  • Climate change presents significant challenges globally, with Sub-Saharan Africa and Nigeria experiencing pronounced impacts such as temperature rise, changing rainfall patterns, and extreme weather events. This thesis investigates the relationship between climate variability, economic activity, oil prices and agricultural outcomes in Nigeria and Sub-Saharan Africa. Using advanced econometric models, fractional integration methods, and machine learning algorithms, the study reveals persistent warming trends over decades across Sub-Saharan Africa (especially in Southern and East Africa) and across Nigerian sub-nationals, especially during the post-WWII period (age of industrialization), nuanced economic effects of temperature anomalies, and the dominant role of temperature in predicting agricultural output. Nighttime lights data highlight climate variability's dynamic and inverted-U effects on sub-national economic activity across Nigerian sub-nationalities. The study also highlights that oil price shocks have limited direct influence on agricultural productivity, with broader macroeconomic factors like inflation and exchange rate volatility playing a more significant role. The findings emphasise the need for adaptive policies to address climate extremes, improve fiscal efficiency, and enhance resilience and sustainability through structural reforms and suggest using advanced modelling approaches for future studies.