Seidu Abdulai Jamatutu

• Doctor of Philosophy
• PhD student at Nanjing University of Science and Technology

This study examines the environmental determinants of CO 2 emissions across African countries from 2000 to 2020, employing Dynamic Common Correlated Effects (DCCE) and Bayesian Stochastic Quantile Regression (BSQR) approaches. The analysis reveals significant cross‐sectional dependence in environmental variables, particularly in renewable energy (5...

Objective This study explores the impact of race and employment status on self-rated health among older adults in South Africa. It reveals new insights by examining the mediating role of generalized anxiety. The findings highlight the importance of addressing these factors to improve the wellbeing of older adults. Methods Drawing from Wave 5 of th...

Across the world, technological adoption has demonstrated capacity towards improving economic production, efficient exploration and consumption of natural resources as well as reduce CO2 emissions. Though with significant impact on CO2 emissions, technological growth has remained relatively low across countries in Sub-Sahara Africa (SSA). With posi...

As the global community grapples with sustainable development, sub‐Saharan Africa (SSA) faces a critical dilemma in balancing economic growth and environmental preservation. The study examines the effect of financial development (foreign direct investment [FDI]) on CO 2 emissions in achieving sustainability in SSA. The study employed fully modified...

This study aims to identify the key predictors of the multidimensional energy poverty index (MEPI) by employing advanced machine learning (ML) ensemble methods. Traditional energy poverty research often relies on conventional statistical techniques, which limits the understanding of complex socioeconomic factors. To address this gap, we propose an...

Understanding and alleviating energy poverty is critical for sustainable development. This study harnesses a suite of Machine Learning (ML) algorithms to predict Multidimensional Energy Poverty Index (MEPI) and to highlight the spatial distribution of energy poverty. We assess the predictive accuracy of Random Forest (RF), Support Vector Machine (S...

As part of Elsevier’s Energy with Purpose (EwP) initiative, we are pleased to announce a call for abstracts for book chapters on the topic of "The Intersection of Blockchain and Energy Trading: Exploring Decentralized Solutions for Next-Generation Energy Markets." Energy with Purpose (EwP) is committed to publishing content that supports and advan...

Renewable Energy (RE) decentralisation has become a means towards energy sustainability due to the revolution in blockchain technology. RE sources have undergone remarkable growth as a result of the privatisation of the energy industry and the boost in incentives and policy initiatives on energy. As supply and demand are affected by a sudden change...

Renewable Energy (RE) decentralisation has become a means towards energy sustainability due to the revolution in blockchain technology. RE sources have undergone remarkable growth as a result of the privatisation of the energy industry and the boost in incentives and policy initiatives on energy. As supply and demand are affected by a sudden change...

This study provides an overview of green supply chain management (GSCM) in the context of renewable energy sources. Thus, it establishes a green management standard with GSCM that companies can adopt. The environmental, economic, and social components determine the concept of GSCM. However, the development and commercialization of renewable energy...