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dc.contributor.authorMehmood, U.en
dc.contributor.authorAgyekum, E. B.en
dc.contributor.authorUhunamure, S. E.en
dc.contributor.authorShale, K.en
dc.contributor.authorMariam, A.en
dc.date.accessioned2022-05-12T08:24:16Z-
dc.date.available2022-05-12T08:24:16Z-
dc.date.issued2022-
dc.identifier.citationEvaluating the Influences of Natural Resources and Ageing People on CO2 Emissions in G-11 Nations: Application of CS-ARDL Approach / U. Mehmood, E. B. Agyekum, S. E. Uhunamure et al. // International Journal of Environmental Research and Public Health. — 2022. — Vol. 19. — Iss. 3. — 1449.en
dc.identifier.issn1661-7827-
dc.identifier.otherAll Open Access, Gold, Green3
dc.identifier.urihttp://elar.urfu.ru/handle/10995/111868-
dc.description.abstractGlobalization as well as the ratio of ageing people in the group of 11 (G-11) countries has seen a rapid increase in recent years. Therefore, this study aims to provide effective policy recommendations for sustainable development goals 13, 8, and 7, for the G-11 countries. This work estimates the impact of natural resources and the ageing population on the emission of carbon dioxide (CO2) in G-11 countries using panel data from 1990–2020. For empirical results, second-generation methods were applied. The Westerlund co-integration test that assesses co-integration confirms the firm association among the parameters, and the values of coefficient of the cross-sectional autoregressive distributed lag (CS-ARDL) approach show that a 1% increase in the ageing population will lower the emissions of CO2 by 13.41% among G-11 countries. Moreover, the findings show that there exists an environmental Kuznets curve (EKC) among natural resources, globalization, economic growth, ageing people, and the emission of CO2. Based on the findings, this work presents some important policy implications for achieving sustainable growth in the G-11 countries. These countries need to lower the amount of energy obtained from fossil fuels to improve air quality. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMDPIen1
dc.publisherMDPI AGen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceInt. J. Environ. Res. Public Health2
dc.sourceInternational Journal of Environmental Research and Public Healthen
dc.subjectAGEING POPULATIONen
dc.subjectCS-ARDLen
dc.subjectG-11 COUNTRIESen
dc.subjectGLOBALIZATIONen
dc.subjectNATURAL RESOURCESen
dc.subjectAGEDen
dc.subjectAGINGen
dc.subjectAIR POLLUTIONen
dc.subjectARTICLEen
dc.subjectCARBON DIOXIDE EMISSIONen
dc.subjectCROSS SECTIONAL AUTOREGRESSIVE DISTRIBUTED LAGen
dc.subjectECONOMETRIC MODELen
dc.subjectECONOMIC DEVELOPMENTen
dc.subjectENERGYen
dc.subjectENVIRONMENTAL KUZNETS CURVEen
dc.subjectGROSS NATIONAL PRODUCTen
dc.subjectHUMANen
dc.subjectNATURAL RESOURCEen
dc.subjectPLOTS AND CURVESen
dc.subjectREGRESSION ANALYSISen
dc.subjectRESEARCH AND DEVELOPMENTen
dc.subjectSOCIOECONOMICSen
dc.subjectSUSTAINABLE DEVELOPMENTen
dc.subjectCROSS-SECTIONAL STUDYen
dc.subjectINTERNATIONAL COOPERATIONen
dc.subjectCARBON DIOXIDEen
dc.subjectCROSS-SECTIONAL STUDIESen
dc.subjectECONOMIC DEVELOPMENTen
dc.subjectINTERNATIONALITYen
dc.titleEvaluating the Influences of Natural Resources and Ageing People on CO2 Emissions in G-11 Nations: Application of CS-ARDL Approachen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/ijerph19031449-
dc.identifier.scopus85123452949-
local.contributor.employeeMehmood, U., Department of Political Science, University of Management and Technology, Lahore, 54770, Pakistan, Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Centre for Remote Sensing, University of the Punjab, Lahore, 54590, Pakistan; Agyekum, E.B., Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris, 19 Mira Street, Ekaterinburg, 620002, Russian Federation; Uhunamure, S.E., Faculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town, 8000, South Africa; Shale, K., Faculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town, 8000, South Africa; Mariam, A., Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Centre for Remote Sensing, University of the Punjab, Lahore, 54590, Pakistanen
local.issue3-
local.volume19-
dc.identifier.wos000759450100001-
local.contributor.departmentDepartment of Political Science, University of Management and Technology, Lahore, 54770, Pakistan; Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Centre for Remote Sensing, University of the Punjab, Lahore, 54590, Pakistan; Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris, 19 Mira Street, Ekaterinburg, 620002, Russian Federation; Faculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town, 8000, South Africaen
local.identifier.pure29561298-
local.description.order1449-
local.identifier.eid2-s2.0-85123452949-
local.identifier.wosWOS:000759450100001-
local.identifier.pmid35162466-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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