This study focuses on the role of institutional factors as well as financial development in renewable energy transition in the Middle East and North Africa (MENA) region over the period 1990-2018, using the autoregressive distributed lag (ARDL) pooled mean group (PMG) method. The investigation of long-run and short-run analysis confirms that institutional and political factors play a key role in promoting the transition to renewable energy and show that improving these factors can lead to decarbonization of the energy sector in the long run. Another important finding is that global financial development does not have a significant effect on the transition process in the long run, implying that the whole financial system needs a fundamental structural change to accelerate the substitution between polluting and clean energies. However, in the short term, the impact appears to be negative and significant, highlighting the inadequacy of financial institutions and financial markets in promoting the region's sustainable path. Moreover, income drives the transition to renewable energy in both short and long terms. The causality results show that both financial development and institutional quality lead to renewable energy transition, while there is a bidirectional link between income and renewable energy. This study can provide a very useful recommendation to promote a clean transition in the MENA region.
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http://dx.doi.org/10.1007/s11356-022-18976-8 | DOI Listing |
BMC Oral Health
January 2025
Afrone Network, Faculty of Dentistry, Alexandria University, Alexandria, Egypt.
Background: Climate change is a global challenge, caused by increasing greenhouse gas (GHG) emissions. Dental clinical practice contributes to these emissions through patient and staff travel, waste, energy and water consumption and procurement. Carbon footprinting quantifies GHG emissions.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Institute for Integrated Energy Systems at University of Victoria (IESVic), Department of Mechanical Engineering, University of Victoria, Victoria, BC, V8P 5C2, Canada.
The world is increasingly facing the direct effects of climate change triggering warnings of a crisis for the healthy existence of humankind. The dominant driver of the climate emergency is the historical and continued accumulation of atmospheric CO altering net radiative forcing on the planet. To address this global issue, understanding the core chemistry of CO manipulation in the atmosphere and proximally in the oceans is crucial, to offer a direct partial solution for emissions handling through negative emissions technologies.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Engineering, Helwan University, Cairo, Egypt.
Frequency regulation in isolated microgrids is challenging due to system uncertainties and varying load demands. This study presents an optimal µ-synthesis robust control strategy that regulates microgrid frequency while enhancing system performance and stability-a proposed fixed-structure approach for selecting performance and robustness weights, informed by subsystem frequency analysis. The controller is optimized using multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA) under inequality constraints, employing a Pareto front to identify optimal solutions.
View Article and Find Full Text PDFSci Rep
January 2025
School of International Relations, Yonsei University, Seoul, 03722, Republic of Korea.
Climate change and environmental degradation are critical global challenges, and the G-20 nations play a pivotal role in addressing these issues due to their substantial contributions to global GDP and carbon emissions. Transitioning toward renewable energy sources is imperative for mitigating CO2 emissions and achieving sustainable development. This study investigates the impact of technological innovation, gross domestic product (GDP), renewable energy consumption, economic freedom, and financial advancement on renewable energy use and environmental pollution levels in G-20 countries from 1995 to 2022.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, Kyiv, 03680, Ukraine.
In this paper, a comprehensive energy management framework for microgrids that incorporates price-based demand response programs (DRPs) and leverages an advanced optimization method-Greedy Rat Swarm Optimizer (GRSO) is proposed. The primary objective is to minimize the generation cost and environmental impact of microgrid systems by effectively scheduling distributed energy resources (DERs), including renewable energy sources (RES) such as solar and wind, alongside fossil-fuel-based generators. Four distinct demand response models-exponential, hyperbolic, logarithmic, and critical peak pricing (CPP)-are developed, each reflecting a different price elasticity of demand.
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