The intent of this study was to find out the short and long-term structural effects of energy
efficiency, economic growth, and the use of renewable energy resources on carbon …

The spread of the COVID-19 pandemic in 2020 has contributed a large impact on various
economic sectors and the energy sector is no exception. In this paper, we analyze the time …

Background Although associations have been reported linking pretreatment thrombocytosis
to cancer survival outcomes, the validity and strength of existing observational evidence …

This paper considers using a global Economic Policy Uncertainty (EPU) index to enhance
forecasting energy demand and supply. Our demand and supply are measured from the …

Linear regression is one of the oldest statistical modeling approaches. Still, it is a valuable
tool, particularly when it is necessary to create forecast models with low sample sizes. When …

Understanding energy security, climate change, and sustainable development are the
critical developmental challenges of EU countries nowadays. Thus, this study aims to assess …

Subset selection in multiple linear regression is to identify a subset of explanatory variables
that are most relevant to the response variable while discarding the remaining variables …

This study aims at examining the predictability of the autoregressive integrated moving
average and deep learning methods consisting of the artificial neural network, recurrent …

The motivation of this study is built from the previous research to find a way to enhance the
forecast of advanced and emerging market currency volatilities. Given the exchange rate's …

This study assesses the impact of public expenditure on the economic growth of the
Southern Key Economic Zone (SKEZ) of Vietnam. The results, using data of 8 provinces and …