Ontology highlight
ABSTRACT:
SUBMITTER: Magazzino C
PROVIDER: S-EPMC10290072 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature
Magazzino Cosimo C Mele Marco M Drago Carlo C Kuşkaya Sevda S Pozzi Cesare C Monarca Umberto U
Scientific reports 20230623 1
This paper examines the relationship among CO<sub>2</sub> emissions, energy use, and GDP in Russia using annual data ranging from 1990 to 2020. We first conduct time-series analyses (stationarity, structural breaks, cointegration, and causality tests). Then, we performed some Machine Learning experiments as robustness checks. Both approaches underline a bidirectional causal flow between energy use and CO<sub>2</sub> emissions; a unidirectional link running from CO<sub>2</sub> emissions to real G ...[more]