Drivers of \(CO_{2}\)-emissions in fossil fuel abundant settings

  • The present inquiry addresses the income-environment relationship in oil-producing countries and scrutinizes the further drivers of atmospheric pollution in the respective settings. The existing literature that tests the environmental Kuznets curve hypothesis within the framework of the black-box approaches provides only a bird's-eye perspective on the long-run income-environment relationship. The aspiration behind this study is making the first step toward the disentanglement of the sources of carbon dioxide emissions, which could be employed in the pollution mitigation policies of this group of countries. Based on the combination of two strands of literature, the environmental Kuznets curve conjecture and the resource curse, the paper at hand proposes an augmented theoretical framework of this inquiry. To approach the research questions empirically, the study employs advanced panel cointegration techniques. To avoid econometric misspecification, the study also employs for the first time a nonparametric time-varying coefficient panel data estimator with fixed effects (NPFE) for the dataset of 37 oil-producing countries in the time interval spanning between 1989 and 2019. The empirical analysis identifies the level of per capita income, the magnitude of oil rents, the share of fossil fuel-based electricity generation in the energy mix, and the share of the manufacturing sector in GDP as essential drivers of carbon dioxide emissions in the oil-rich countries. Tertiarization, on the contrary, leads to a substantial reduction of emissions. Another striking result of this study is that level of political rights and civil liberties are negatively associated with per capita carbon emissions in this group of countries. Furthermore, the study decisively rejects an inverted U-shaped income-emission relationship and validates the monotonically or exponentially increasing impact of average income on carbon dioxide emissions.

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Metadaten
Author:Elkhan Sadik-ZadaORCiDGND, Wilhelm LöwensteinORCiDGND
URN:urn:nbn:de:hbz:294-76013
DOI:https://doi.org/10.3390/en13153956
Parent Title (English):Energies
Subtitle (English):(pooled) mean group and nonparametric panel analyses
Publisher:MDPI
Place of publication:Basel
Document Type:Article
Language:English
Date of Publication (online):2020/10/29
Date of first Publication:2020/08/01
Publishing Institution:Ruhr-Universität Bochum, Universitätsbibliothek
Tag:Open Access Fonds
atmospheric pollution; autocracies; confounding variable; electricity production; fossil fuels; multicollinearity; nonparametric fixed effects; pooled mean group; structural change
Volume:13
Issue:15, Article 3956
First Page:3956-1
Last Page:3956-24
Note:
Article Processing Charge funded by the Deutsche Forschungsgemeinschaft (DFG) and the Open Access Publication Fund of Ruhr-Universität Bochum.
Institutes/Facilities:Institut für Entwicklungsforschung und Entwicklungspolitik (IEE)
Centrum für Umweltmanagement, Ressourcen und Energie (CURE)
open_access (DINI-Set):open_access
Licence (English):License LogoCreative Commons - CC BY 4.0 - Attribution 4.0 International