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dc.contributor.authorMehmood, U.en
dc.contributor.authorTariq, S.en
dc.contributor.authorHaq, Z. U.en
dc.contributor.authorAgyekum, E. B.en
dc.contributor.authorUhunamure, S. E.en
dc.contributor.authorShale, K.en
dc.contributor.authorNawaz, H.en
dc.contributor.authorAli, S.en
dc.contributor.authorHameed, A.en
dc.date.accessioned2024-04-08T11:05:52Z-
dc.date.available2024-04-08T11:05:52Z-
dc.date.issued2022-
dc.identifier.citationMehmood, U, Tariq, S, Haq, ZU, Agyekum, EB, Uhunamure, SE, Shale, K, Nawaz, H, Ali, S & Hameed, A 2022, 'Financial Institutional and Market Deepening, and Environmental Quality Nexus: A Case Study in G-11 Economies Using CS-ARDL', International Journal of Environmental Research and Public Health, Том. 19, № 19, 11984. https://doi.org/10.3390/ijerph191911984harvard_pure
dc.identifier.citationMehmood, U., Tariq, S., Haq, Z. U., Agyekum, E. B., Uhunamure, S. E., Shale, K., Nawaz, H., Ali, S., & Hameed, A. (2022). Financial Institutional and Market Deepening, and Environmental Quality Nexus: A Case Study in G-11 Economies Using CS-ARDL. International Journal of Environmental Research and Public Health, 19(19), [11984]. https://doi.org/10.3390/ijerph191911984apa_pure
dc.identifier.issn1661-7827-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Gold Open Access; Green Open Access3
dc.identifier.otherhttps://www.mdpi.com/1660-4601/19/19/11984/pdf?version=16638397981
dc.identifier.otherhttps://www.mdpi.com/1660-4601/19/19/11984/pdf?version=1663839798pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/131227-
dc.description.abstractThis study presents a new insight into the dynamic relationship between financial institutional deepening (FID), financial deepening, financial market deepening (FMD), foreign direct investment (FDI), economic growth (GDP), population, and carbon dioxide emissions (CO2e) in the G-11 economies by employing a cross-sectionally augmented autoregressive distributed lag (CS-ARDL) approach during 1990–2019. The outcomes from the CS-ARDL and dynamic common correlated effects mean group (DCCEMG) models shows that financial deepening, GDP, FDI, and population degraded environmental quality both in the short run and the long run. Contrary to this, FID and FMD improves environmental quality in these countries. The government should work to maximize financial institutions (access, depth, efficiency) and financial markets (access, depth, efficiency) to reduce the CO2e. A strong positive and in-phase correlation of CO2e with economic growth and population is observed for G-11 countries. These results suggest policy makers should further improve financial institutions by creating opportunities for their populations. Moreover, the governments of G-11 countries should revise their foreign direct investment policies and attention should be given to import efficient means of energy production. © 2022 by the authors.en
dc.description.sponsorshipMinistry of Education and Science of the Russian Federation, Minobrnauka, (FEUZ-2022-0031)en
dc.description.sponsorshipThe research funding from the Ministry of Science and Higher Education of the Russian Federation (Ural Federal University Program of Development within the Priority-2030 Program) is gratefully acknowledged: grant number: FEUZ-2022-0031.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMDPIen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/unpaywall
dc.sourceInternational Journal of Environmental Research and Public Health2
dc.sourceInternational Journal of Environmental Research and Public Healthen
dc.subjectCS-ARDLen
dc.subjectECONOMIC GROWTHen
dc.subjectFINANCIAL DEEPENINGen
dc.subjectFOREIGN DIRECT INVESTMENTen
dc.subjectWAVELET COHERENCEen
dc.subjectCARBON DIOXIDEen
dc.subjectECONOMIC DEVELOPMENTen
dc.subjectGOVERNMENTen
dc.subjectINTERNATIONALITYen
dc.subjectINVESTMENTSen
dc.subjectCARBON DIOXIDEen
dc.subjectACCESSIBILITYen
dc.subjectCARBON DIOXIDEen
dc.subjectCARBON EMISSIONen
dc.subjectDEVELOPING WORLDen
dc.subjectECONOMIC GROWTHen
dc.subjectENVIRONMENTAL ECONOMICSen
dc.subjectENVIRONMENTAL QUALITYen
dc.subjectFINANCIAL MARKETen
dc.subjectFINANCIAL SYSTEMen
dc.subjectFOREIGN DIRECT INVESTMENTen
dc.subjectGOVERNANCE APPROACHen
dc.subjectGROSS DOMESTIC PRODUCTen
dc.subjectINSTITUTIONAL FRAMEWORKen
dc.subjectMARKET CONDITIONSen
dc.subjectPOPULATION GROWTHen
dc.subjectARTICLEen
dc.subjectATTENTIONen
dc.subjectCARBON DIOXIDE EMISSIONen
dc.subjectCARBON DIOXIDE EQUIVALENTen
dc.subjectCONTROLLED STUDYen
dc.subjectECONOMIC ASPECTen
dc.subjectECONOMIC DEVELOPMENTen
dc.subjectENERGY YIELDen
dc.subjectFINANCIAL MARKETen
dc.subjectFOREIGN DIRECT INVESTMENTen
dc.subjectGOVERNMENTen
dc.subjectHUMANen
dc.subjectINTERNATIONAL COOPERATIONen
dc.subjectINVESTMENTen
dc.titleFinancial Institutional and Market Deepening, and Environmental Quality Nexus: A Case Study in G-11 Economies Using CS-ARDLen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/ijerph191911984-
dc.identifier.scopus85139811349-
local.contributor.employeeMehmood U., 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 Political Science, University of Management and Technology, Lahore, 54590, Pakistanen
local.contributor.employeeTariq S., Remote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Department of Space Science, University of the Punjab, Lahore, 54590, Pakistanen
local.contributor.employeeHaq Z.U., Remote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Department of Space Science, University of the Punjab, Lahore, 54590, Pakistanen
local.contributor.employeeAgyekum E.B., Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris Yeltsin, 19 Mira Street, Eka-Terinburg, 620002, Russian Federationen
local.contributor.employeeUhunamure S.E., Faculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town, 8000, South Africaen
local.contributor.employeeShale K., Faculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town, 8000, South Africaen
local.contributor.employeeNawaz H., 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.contributor.employeeAli S., 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.contributor.employeeHameed 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.issue19-
local.volume19-
dc.identifier.wos000868113500001-
local.contributor.departmentRemote 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.contributor.departmentDepartment of Political Science, University of Management and Technology, Lahore, 54590, Pakistanen
local.contributor.departmentRemote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Department of Space Science, University of the Punjab, Lahore, 54590, Pakistanen
local.contributor.departmentDepartment of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris Yeltsin, 19 Mira Street, Eka-Terinburg, 620002, Russian Federationen
local.contributor.departmentFaculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town, 8000, South Africaen
local.identifier.pure31029572-
local.identifier.pure352abe72-3aa9-4f6a-9a37-814d177aa392uuid
local.description.order11984-
local.identifier.eid2-s2.0-85139811349-
local.identifier.wosWOS:000868113500001-
local.identifier.pmid36231285-
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