Abstract
This paper examined the nexus between economic growth, energy consumption, urbanization, population growth, and carbon emissions in the BRICS economies from 1990 to 2019. In order to yield valid and reliable outcomes, modern econometric techniques that are vigorous to cross-sectional dependence and slope heterogeneity were employed. From the findings, the studied panel was heterogeneous and cross-sectionally dependent. Also, all the series were first differenced stationary and co-integrated in the long run. The Augmented Mean Group (AMG) and the Common Correlated Effects Mean Group (CCEMG) estimators were employed to estimate the elastic effects of the predictors on the explained variable, and from the output of both estimators, energy consumption worsened environmental quality via high carbon emissions. Also, the AMG estimator affirmed economic growth to be a significantly positive determinant of carbon emissions. However, both estimators confirmed urbanization and population growth as trivial predictors of the emissivities of carbon. On the causal connections amidst the series, there was bidirectional causality between economic growth and carbon emissions, between energy consumption and economic growth, between economic growth and population growth, between energy consumption and urbanization, and between economic growth and urbanization. Lastly, a causation from urbanization to carbon emissions was unfolded. Policy implications are further discussed.


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Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Change history
28 March 2024
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s11356-024-33122-2
Abbreviations
- EC:
-
Energy consumption
- GDP:
-
Economic growth
- UR:
-
Urbanization
- PP:
-
Population
- CO2 :
-
Carbon dioxide
- BRICS:
-
Brazil, Russia, India, China, South Africa
- CCEMG:
-
Common Correlated Effects Mean Group
- AMG:
-
Augmented Mean Group
- WDI:
-
World Development Indicators
- UN:
-
United Nations
- EKC:
-
Environmental Kuznets curve
- ARDL:
-
Autoregressive distributed lag
- FMOLS:
-
Fully modified ordinary least squares
- DOLS:
-
Dynamic ordinary least squares
- ECM:
-
Error correction model
- MRIO:
-
Multi-regional input–output
- VECM:
-
Vector error correction model
- NMVGM:
-
Novel multi-variable grey model
- 3SLS:
-
Three-stage least square method
- OLS:
-
Ordinary least square
- CADF:
-
Cross-sectionally augmented Dickey–Fuller
- CIPS:
-
Cross-sectional Im, Pesaran, and Shin
- VIF:
-
Variance inflation factor
- EU:
-
European Union
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This work is supported by the National Social Science Foundation of China (NSSFC) (18GLB255).
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H.C. supervised the study. E.A.T. conceptualized and wrote the final manuscript. I.A. aided in drafting the original manuscript. M.M. helped in analysis and discussion. A.S. analyzed the data and aided in discussions. M.A. contributed data. S.A. helped in editing the final manuscript. All authors read and approved the final manuscript.
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Chen, H., Tackie, E.A., Ahakwa, I. et al. RETRACTED ARTICLE: Does energy consumption, economic growth, urbanization, and population growth influence carbon emissions in the BRICS? Evidence from panel models robust to cross-sectional dependence and slope heterogeneity. Environ Sci Pollut Res 29, 37598–37616 (2022). https://doi.org/10.1007/s11356-021-17671-4
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