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dc.contributor.authorAwosusi, A. A.en
dc.contributor.authorAdebayo, T. S.en
dc.contributor.authorAltuntaş, M.en
dc.contributor.authorAgyekum, E. B.en
dc.contributor.authorZawbaa, H. M.en
dc.contributor.authorKamel, S.en
dc.date.accessioned2022-05-12T08:23:00Z-
dc.date.available2022-05-12T08:23:00Z-
dc.date.issued2022-
dc.identifier.citationThe Dynamic Impact of Biomass and Natural Resources on Ecological Footprint in BRICS Economies: A Quantile Regression Evidence / A. A. Awosusi, T. S. Adebayo, M. Altuntaş et al. // Energy Reports. — 2022. — Vol. 8. — P. 1979-1994.en
dc.identifier.issn2352-4847-
dc.identifier.otherAll Open Access, Gold3
dc.identifier.urihttp://elar.urfu.ru/handle/10995/111793-
dc.description.abstractMany emerging economies, including the BRICS economies, are having difficulty meeting the Sustainable Development Goals’ (SDGs) objectives. Consequently, this research discusses the creation of an SDG framework for the BRICS economies, which can be utilized as a model for other blocs. To achieve this purpose, this research probes into the effect of biomass energy usage on ecological footprint in the BRICS economies between 1992 and 2018, considering the roles of gross capital formation, natural resources, and globalization. The novel Methods of Moments-Quantile-Regression (MMQR) approach with fixed effects is used, the outcomes of which reveal that in all quantiles (10th to 90th), globalization and biomass energy use mitigate environmental degradation, whereas economic growth, natural resources, and gross capital formation contribute to environmental degradation. The present research applied a series of techniques such as panel FMOLS, and DOLS, FE-OLS, the outcomes of which disclosed that globalization and biomass energy utilization help mitigate environmental degradation, while economic growth, natural resources, and gross capital formation improve environmental degradation. On the basis of the study's findings, we suggest a shift in energy policies away from fossil fuels toward renewable energy alternatives by taking measures regarding the innovation of biomass to improve conversion efficiency. © 2022 The Author(s).en
dc.description.sponsorshipThe author (Hossam M. Zawbaa) thanks the European Union's Horizon 2020 research and Enterprise Ireland for their support under the Marie Sk-odowska-Curie grant agreement No. 847402. The authors thank the support of the National Research and Development Agency of Chile (ANID), ANID/Fondap/15110019.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier Ltden1
dc.publisherElsevier BVen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceEnergy Rep.2
dc.sourceEnergy Reportsen
dc.subjectBIOMASS ENERGY CONSUMPTIONen
dc.subjectBRICSen
dc.subjectECOLOGICAL FOOTPRINTen
dc.subjectECONOMIC GROWTHen
dc.subjectGLOBALIZATIONen
dc.subjectECOLOGYen
dc.subjectECONOMICSen
dc.subjectENERGY POLICYen
dc.subjectENERGY UTILIZATIONen
dc.subjectFOSSIL FUELSen
dc.subjectMETHOD OF MOMENTSen
dc.subjectSUSTAINABLE DEVELOPMENTen
dc.subjectBIO-MASS ENERGYen
dc.subjectDYNAMIC IMPACTSen
dc.subjectEMERGING ECONOMIESen
dc.subjectENERGY-CONSUMPTIONen
dc.subjectQUANTILE REGRESSIONen
dc.subjectBIOMASSen
dc.titleThe Dynamic Impact of Biomass and Natural Resources on Ecological Footprint in BRICS Economies: A Quantile Regression Evidenceen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.egyr.2022.01.022-
dc.identifier.scopus85123705926-
local.contributor.employeeAwosusi, A.A., Department of Economics, Faculty of Economics and Administrative Science, Near East University, Nicosia, 99138, Turkey; Adebayo, T.S., Faculty of Economics and Administrative Science, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey; Altuntaş, M., Nisantasi University, Faculty of Economics, Administrative and Social Sciences, Department of Economics, Turkey; Agyekum, E.B., Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris, 19 Mira Street, Ekaterinburg, Yeltsin, 620002, Russian Federation; Zawbaa, H.M., Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef, Egypt, Technological University Dublin, Dublin, Ireland; Kamel, S., Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, 81542, Egypten
local.description.firstpage1979-
local.description.lastpage1994-
local.volume8-
dc.identifier.wos000784308100015-
local.contributor.departmentDepartment of Economics, Faculty of Economics and Administrative Science, Near East University, Nicosia, 99138, Turkey; Faculty of Economics and Administrative Science, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey; Nisantasi University, Faculty of Economics, Administrative and Social Sciences, Department of Economics, Turkey; Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris, 19 Mira Street, Ekaterinburg, Yeltsin, 620002, Russian Federation; Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef, Egypt; Technological University Dublin, Dublin, Ireland; Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, 81542, Egypten
local.identifier.pure29555855-
local.identifier.eid2-s2.0-85123705926-
local.fund.cordisH2020: 847402-
local.identifier.wosWOS:000784308100015-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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