2022
DOI: 10.1007/s11356-022-18834-7
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Nexus between disaggregated energy sources, institutional quality, and environmental degradation in BRI countries: a penal quantile regression analysis

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Cited by 29 publications
(9 citation statements)
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“…According to Caldara and Iacoviello (2018) the newly established geopolitical risk index is an indicator of regional and global geopolitical risk. In terms of external global uncertainty, this metric encompasses a broad range of events such as terrorist attacks and other geopolitical issues ( Akbar et al, 2022 ). An assessment of the economic and political stability of a country has been made.…”
Section: Methodsmentioning
confidence: 99%
“…According to Caldara and Iacoviello (2018) the newly established geopolitical risk index is an indicator of regional and global geopolitical risk. In terms of external global uncertainty, this metric encompasses a broad range of events such as terrorist attacks and other geopolitical issues ( Akbar et al, 2022 ). An assessment of the economic and political stability of a country has been made.…”
Section: Methodsmentioning
confidence: 99%
“…Scholars report that Poland's plans to develop nuclear energy have either been postponed or canceled; and electricity generation and heavy industrialization continue demonstrating inefficient energy use; and with recent desulfurization equipment in power plants virtually unknown, this presents a dire environmental situation in Poland (Brauers & Oei, 2020). However, some scholars claim that renewable energy use could be helpful to Poland in reducing carbon dioxide (Akbar et al, 2022). Based on the review, the paper hypothesizes that primary energy consumption has positive effects on CO 2 emissions in Poland, i.e., ϑ 3 = LCO 2 LPEC ˃ 0; where ϑ refers to the parameter of interest; LPEC refers to the natural log of primary energy consumption; and LCO 2 is the natural log of carbon dioxide emissions (as a proxy for environmental degradation).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The most important advantage of panel quantile regression (PQR), unlike traditional regression approaches, is to catch and eliminate outliers between expected and observed variables related to the inaccuracy of prediction coefficients (Anwar et al, 2021;Akbar et al, 2022;Hussain and Sattar, 2022). Because the PQR focuses on average effects (Anwar et al, 2021;.…”
Section: Quantile Regressionmentioning
confidence: 99%