2020
DOI: 10.1007/s11356-020-08466-0
|View full text |Cite
|
Sign up to set email alerts
|

Renewable energy, urbanization, and ecological footprint linkage in CIVETS

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

6
40
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 149 publications
(57 citation statements)
references
References 127 publications
6
40
0
Order By: Relevance
“…Further, Nathaniel et al (2020b) illustrate that financial development, economic growth, and urbanization add to environmental degradation in MENA countries. In line with this assumption, Nathaniel et al (2020c) show that non-RE consumption and urbanization are the chief contributors to environmental degradation in the CIVETS countries.…”
Section: Theoretical Underpinningsupporting
confidence: 61%
See 1 more Smart Citation
“…Further, Nathaniel et al (2020b) illustrate that financial development, economic growth, and urbanization add to environmental degradation in MENA countries. In line with this assumption, Nathaniel et al (2020c) show that non-RE consumption and urbanization are the chief contributors to environmental degradation in the CIVETS countries.…”
Section: Theoretical Underpinningsupporting
confidence: 61%
“…In line with this assumption, Nathaniel et al . (2020c) show that non‐RE consumption and urbanization are the chief contributors to environmental degradation in the CIVETS countries.…”
Section: Theoretical Underpinningmentioning
confidence: 98%
“…Given the climatic differences among these most affected ten countries, it seems reasonable to examine the impact of such meteorological factors, including an air pollutant for each of these countries too. This is one of the first studies that take into consideration the nexus between the confirmed Covid-19 confirmed cases, deaths, meteorological factors, including an air pollutant in the world's top 10 infected countries, from 1 February 2020 through 30 June 2020, using advanced econometric techniques (Sharma et al 2020a;Nathaniel et al 2020), including the novel Dynamic Common Correlated Effect (DCCE) model that accounts for the heterogeneity across the nations and provide more reliable and generalizable results (Mensah et al 2020;Meo et al 2020) Our findings confirm a strong cross-sectional dependence between Covid-19 cases, deaths, and the meteorological factors, including air pollutant PM2.5, for all the ten most infected countries under study. The Westerlund (2007) cointegration test confirms a long-term relationship between all the variables under investigation.…”
Section: Resultsmentioning
confidence: 99%
“…Hence, so far, the existing literature has ignored the cross-sectional dependence and heterogeneity between the concerned variables. The present study employs the advanced econometric techniques robust to heterogeneity, and dependencies across nations, have proven to produce more reliable and efficient results (Dogan and Aslan 2017;Nathaniel et al 2019Nathaniel et al , 2020bSharma et al 2020). Despite their popularity, the literature has not used these methodologies to investigate the effect of such variables on the transmission of COVID-19.…”
Section: Introductionmentioning
confidence: 99%