Policymakers and environmental scientists have proposed numerous measures toward achieving a sustainable environment. Some of these include the efficient use energy clean transition. This study empirically investigates role non-renewable efficiency renewable utilization in driving sustainability India over period from 1965 to 2018. Using approach Dynamic Autoregressive Distributed Lag (DyARDL) simulations, empirical evidence shows that promote through an increase load capacity factor. The...

Given that the United States of America and European Union are among world's top greenhouse gas emitting economies, it poses yet to be answered questions on whether efficient utilization nonrenewable energy sources or renewable intensification in these economies account for any environmental benefit. To answer inherent questions, this study examines compares performances response efficiency, intensity, environmental-related technologies while controlling natural resource rent urban...

Global warming has progressed into a pressing global concern, primarily driven by human activities. To address this issue, it is vital to identify the key drivers of ecological quality and develop effective policies in response. Consequently, study seeks empirically examine causal effect financial globalization, economic growth, policy uncertainty, oil consumption on load capacity factor (LF) Brazil. The analysis utilizes quarterly data spanning from 1990 2021. In pursuit, introduces an...

Abstract The excessive use of non-renewable energy in 21st-century economic growth has continued to hurt the environment by accumulating carbon dioxide and other greenhouse gases. However, promoting environmental sustainability requires expanding clean utilisation. In this study, we examine effects expansion natural resource extraction on load capacity factor (LCF) China from 1970 2018. Using dynamic autoregressive distributed lag simulations approach, extend standard curve (LCC) hypothesis...

The outlook of crude oil prices has sparsely been empirically examined especially from the critical perspectives energy expenditure per household, retail electricity prices, and environmental indicators. Given enormous macroeconomic socioeconomic effects price amidst fundamentals, this study examines dynamics demand (measured by household), i.e., substitute price, carbon dioxide (CO2) emissions in United States America (USA) over period 1970 to 2040. This offers two main innovations: first,...

Beyond the environmental drawback of fossil energy sources, security remains a salient concern for economic development and sustainability. This explains why influence its components (economic, geopolitical, reliability, environmental) on price crude oil commodity, especially in United States America, is considered this study up to period 2040 (i.e., from 1970 2040). Using Kernel-Based Regularized Least Squares (KRLS) approach supported by robustness quantile regression, result shows an...

Several studies provide that the green energy transition is critical to attaining environmental sustainability. However, extent which investment in technologies influence energy-related uncertainties not well known. This study set out investigate effect of energy-technology and operation Transnational Corporations (TNCs) on United States security over period 1974–2020. Applying econometric techniques using Kernel-based regularized least squares (KRLS) nonparametric multivariate...

ABSTRACTThis study presents evidence on how tourism development affects U.S. energy security risks from 1997 to 2020 using a Kernel-based regularized least squares (KRLS) machine learning approach. Our empirical results demonstrate that amplifies the security-related risks. Also, while technological innovation and urbanization dampen pressure risks, economic policy-based uncertainty industrial production increase These survive in disaggregated models except for environmental-related...