Search for: All records

In this research, data from 36 countries from 2013 to 2018 were used to examine the factors influencing CO 2 emissions in Islamic countries, focusing on the impact of Islamic financial growth. The spatial econometric technique estimation findings indicate that there is no geographical association between CO 2 emissions in the analyzed countries. The test findings establish the existence of the Kuznets hypothesis for the environment. Additionally, trade openness and increased energy usage have resulted in an increase in CO 2 emissions. The impacts of traditional financial development factors, such as financial market and financial institution variables, were examined in this research. The findings indicate that the two variables have no direct and substantial influence on CO 2 emissions and that their significant effect on CO 2 emissions appears only when their nonlinear and spillover effects on energy consumption and economic growth are included. Additionally, the growth of financial institutions is inversely proportional to the intensity of carbon emissions. The results indicate that while the development of financial markets and institutions results in a significant increase in CO 2 emissions, the negative coefficient of the interaction between financial development and energy consumption indicates that financial development ensures energy efficiency, which reduces the intensity of carbon emissions. The findings indicate that the expansion and depth of Islamic finance, as measured by total assets, asset quality, earnings, and efficiency of Islamic banks, can result in a nonlinear increase in CO 2 emissions with a U-shaped relationship. The study of spillover effects demonstrates that in addition to their direct and positive effects on CO 2 emissions, the increase in Islamic social responsibility and consumer education, and awareness about Islamic banking reduce the enhancing effects of energy consumption on greenhouse gas emissions. 

Anthropogenic activities are responsible for greenhouse gas emissions, causing extreme events like soil erosion, droughts, floods, forest fires and tornadoes. Fossil fuel consumption produces CO2, and trapping heat is the major reason for a rapid increase in global temperature, and electricity generation is responsible for 25% of greenhouse gas emissions. Fossil fuel consumption, CO2 emissions and their adverse impact have become the focus of efforts to mitigate climate change vulnerability. This study explores empirical determinants of vulnerability to climate change such as ecosystem, food, health and infrastructure. The sustainable use of energy is necessary for development, and a source of response to climate change. The present study focuses on renewable energy consumption to determine climate vulnerability in G7 countries between 1995 and 2019. The panel ARDL approach showed that the renewable to non-renewable energy mix showed a quadratic effect on vulnerability, whereby a minimum threshold of renewable energy is required to witness a reduction in food, health and infrastructure vulnerability. Other results indicate that trade openness and development expenditures reduce health vulnerability. Development expenditures also decrease ecosystem vulnerability, while trade openness increases it. However, both of these variables increase infrastructure vulnerability. Avoiding severe food and water crises requires investment to tackle climate change, conserve energy and water resources, reform global trade and food markets, and adapting and adopting climate-resilient responses to change. 

In the last several decades, public interest for electric vehicles (EVs) and research initiatives for smart AC and DC microgrids have increased substantially. Although EVs can yield benefits to their use, they also present new demand and new business models for a changing power grid. Some of the challenges include stochastic demand profiles from EVs, unplanned load growth by rapid EV adoption, and potential frequency (harmonics) and voltage disturbances due to uncoordinated charging. In order to properly account for any of these problems, an accurate and validated model for EV distributions in a power grid must be established. This model (or several models) may then be used for economic and technical analyses. This paper supplies insight into the impact that EVs play in effecting critical loads in a system, and develops a theoretical model to further support a hardware in-the-loop (HIL) real time simulation of modelling and analysis of a distribution feeder with distributed energy resources (DERs) and EVs based on existing data compiled.