Investigating the pollution haven hypothesis in oil and non-oil sub-Saharan Africa countries: Evidence from quantile regression technique

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dc.authoridhttps://orcid.org/0000-0002-7567-9885en_US
dc.authoridhttps://orcid.org/0000-0002-3248-4316en_US
dc.authoridhttps://orcid.org/0000-0003-4948-6905en_US
dc.contributor.authorGyamfi, Bright Akwasi
dc.contributor.authorBein, Murad A.
dc.contributor.authorUdemba, Edmund Ntom
dc.contributor.authorBekun, Festus Victor
dc.date.accessioned2023-07-23T07:40:07Z
dc.date.available2023-07-23T07:40:07Z
dc.date.issued2021en_US
dc.departmentİktisadi İdari ve Sosyal Bilimler Fakültesien_US
dc.description.abstractThe deepening of global trade flows and world interconnectedness has its implications on several macroeconomic indices that stretches, to say the least environmental consequences. To this end, this study explores the dynamic interaction between energy consumption (renewable and non-renewable), foreign direct investment, carbon dioxide emission, real income and urbanization for both oil and non-oil countries for annual period from 1990 to 2016 in a carbon-income framework. To examine the nature of relationship between the outlined variables, we rely on a balanced panel econometrics analysis alongside panel quantile regression. Empirical analysis affirms the pollution haven hypothesis for both oil and non-oil countries under consideration. This suggests that foreign direct investment inflow has a detrimental effect on the host country. This is instructive to stakeholders and government officials. Further empirical results show that conventional energy from (fossil-fuel), urban population dampens environmental quality in the examined regions. However, renewable energy shows strong strength to improve environmental quality. This implies that renewables energy serves as a panacea to environmental sustainability target in both oil and non-oil dependent countries. Finally, these outcomes suggest the need to pursue low-carbon strategies for a cleaner and friendly environment.en_US
dc.identifier.doi10.1016/j.resourpol.2021.102119en_US
dc.identifier.endpage11en_US
dc.identifier.issn0301-4207
dc.identifier.issn1873-7641
dc.identifier.scopus2-s2.0-85106297196en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/11363/5074
dc.identifier.urihttps://doi.org/
dc.identifier.volume73en_US
dc.identifier.wosWOS:000695172400003en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorUdemba, Edmund Ntom
dc.institutionauthorBekun, Festus Victor
dc.language.isoenen_US
dc.publisherELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLANDen_US
dc.relation.ispartofResources Policyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectEnvironmental impacten_US
dc.subjectLow-carbon reductionen_US
dc.subjectEnvironmental sustainabilityen_US
dc.subjectPollution haven hypothesisen_US
dc.subjectQuantile regression and oil and non-oil sub-saharan africa countriesen_US
dc.titleInvestigating the pollution haven hypothesis in oil and non-oil sub-Saharan Africa countries: Evidence from quantile regression techniqueen_US
dc.typeArticleen_US

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