2022
DOI: 10.1177/0958305x221127019
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Unveiling the asymmetric energy-growth nexus in top oil-importing and exporting countries: The common correlated effects approach

Abstract: Conventional panel models that overlook nonlinearity, nonstationarity, heterogeneity and cross-sectional dependency when analysing the energy-growth nexus might produce misleading conclusions. In addressing these issues, this study extends the examination of the nexus by applying nonstationary panel models with common correlated effects (CCE). They involve two estimators, namely CCE mean group (CCEMG) and augmented mean group (AMG) estimators. The main objective is to examine the effects of total and renewable… Show more

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Cited by 3 publications
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“…Following Cergibozan (2022), this study also uses Augmented Average Groups (AMGs) to reveal the impact of FDI and institutional quality on economic growth and climate change in individual countries. AMG is a panel autoregressive distributed lag (ARDL) model that allows for cross-sectional correlation and sample heterogeneity, outperforming first-generation panel estimation techniques (Sim and Sek, 2022;Wei and Huang, 2022). This approach incorporates common dynamic effects (CDEs) into a two-stage estimation process to account for crosssectional dependencies (Hashmi et al, 2021;Maza, 2022).…”
Section: Country-specific Analysis By Augmented Mean Groups (Amgs) Es...mentioning
confidence: 99%
“…Following Cergibozan (2022), this study also uses Augmented Average Groups (AMGs) to reveal the impact of FDI and institutional quality on economic growth and climate change in individual countries. AMG is a panel autoregressive distributed lag (ARDL) model that allows for cross-sectional correlation and sample heterogeneity, outperforming first-generation panel estimation techniques (Sim and Sek, 2022;Wei and Huang, 2022). This approach incorporates common dynamic effects (CDEs) into a two-stage estimation process to account for crosssectional dependencies (Hashmi et al, 2021;Maza, 2022).…”
Section: Country-specific Analysis By Augmented Mean Groups (Amgs) Es...mentioning
confidence: 99%