Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://elar.urfu.ru/handle/10995/117820
Полная запись метаданных
Поле DCЗначениеЯзык
dc.contributor.authorMehmood, U.en
dc.contributor.authorAgyekum, E. B.en
dc.contributor.authorTariq, S.en
dc.contributor.authorHaq, Z. U.en
dc.contributor.authorUhunamure, S. E.en
dc.contributor.authorEdokpayi, J. N.en
dc.contributor.authorAzhar, A.en
dc.date.accessioned2022-10-19T05:19:41Z-
dc.date.available2022-10-19T05:19:41Z-
dc.date.issued2022-
dc.identifier.citationSocio-Economic Drivers of Renewable Energy: Empirical Evidence from BRICS / U. Mehmood, E. B. Agyekum, S. Tariq et al. // International Journal of Environmental Research and Public Health. — 2022. — Vol. 19. — Iss. 8. — 4614.en
dc.identifier.issn16617827-
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85127907269&doi=10.3390%2fijerph19084614&partnerID=40&md5=fcd7089c36460b159f96494e905ab317link
dc.identifier.urihttp://elar.urfu.ru/handle/10995/117820-
dc.description.abstractThere is a need to implement efficient strategies to mitigate the challenges of climate change and income inequalities in developing countries. Several studies have been conducted to address the relationship among different econometric and environmental indicators of renewable energy (RE) but overlooked the relationship between RE and income inequalities. This study investigates the influence of the distribution of income on the RE in Brazil, Russia, China, and South Africa (BRICS) between 1988 and 2017. The econometric (economic growth and trade), environmental, and institutional parameters are also integrated into the model. The outcomes reveal that reduced inequality in income distribution increases the consumption of RE. In contrast, CO2 emissions have a positive correlation with RE. The governments should implement environmentally friendly policies and increase the consumption of renewable energy in the future with regards to reducing environmental pollution. Furthermore, findings from the study indicate a positive effect on the reduction of corruption in renewable energy. This shows that institutional quality can affect the uptake of renewable energy. The study further identified that growth in a country’s economy decreases RE consumption, suggesting that these countries prefer fossil fuels to gain economic growth. The Granger causality results show that a bidirectional causality exists between income inequality and RE consumption. Bidirectional causality is observed between income distribution and CO2 emissions. The results from this study are important for policymakers to achieve sustainable development because fair income distribution and environmental quality are considered as two key factors for sustainable development. Strong institutions and control on corruption can bring sound social and economic gains. Therefore, fair distribution of income and strong institutional policies can increase RE consumption to achieve a clean environment. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMDPIen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceInternational Journal of Environmental Research and Public Healthen
dc.subjectBRICS COUNTRIESen
dc.subjectCLEAN ENVIRONMENTen
dc.subjectCO2 EMISSIONSen
dc.subjectRENEWABLE ENERGYen
dc.subjectSUSTAINABLE DEVELOPMENTen
dc.subjectFOSSIL FUELen
dc.subjectCARBON DIOXIDEen
dc.subjectALTERNATIVE ENERGYen
dc.subjectCARBON DIOXIDEen
dc.subjectCARBON EMISSIONen
dc.subjectCLIMATE CHANGEen
dc.subjectECONOMETRICSen
dc.subjectEMPIRICAL ANALYSISen
dc.subjectSTRATEGIC APPROACHen
dc.subjectSUSTAINABLE DEVELOPMENTen
dc.subjectARTICLEen
dc.subjectBRAZILen
dc.subjectCARBON DIOXIDE EMISSIONen
dc.subjectCAUSALITYen
dc.subjectCHINAen
dc.subjectECONOMIC DEVELOPMENTen
dc.subjectENVIRONMENTAL ASPECTS AND RELATED PHENOMENAen
dc.subjectENVIRONMENTAL PARAMETERSen
dc.subjectENVIRONMENTAL POLICYen
dc.subjectGRANGER CAUSALITYen
dc.subjectINCOME INEQUALITYen
dc.subjectPOLLUTIONen
dc.subjectRENEWABLE ENERGYen
dc.subjectRUSSIAN FEDERATIONen
dc.subjectSOCIOECONOMICSen
dc.subjectSOUTH AFRICAen
dc.subjectSUSTAINABLE DEVELOPMENTen
dc.subjectINCOMEen
dc.subjectBRAZILen
dc.subjectCHINAen
dc.subjectRUSSIAN FEDERATIONen
dc.subjectSOUTH AFRICAen
dc.subjectCARBON DIOXIDEen
dc.subjectECONOMIC DEVELOPMENTen
dc.subjectFOSSIL FUELSen
dc.subjectINCOMEen
dc.subjectRENEWABLE ENERGYen
dc.titleSocio-Economic Drivers of Renewable Energy: Empirical Evidence from BRICSen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/ijerph19084614-
dc.identifier.scopus85127907269-
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, 54770, Pakistanen
local.contributor.employeeAgyekum, E.B., Department of Nuclear and Renewable Energy, Ural Federal University, Mira 19, Ekaterinburg, 620002, Russian Federationen
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, Centre for Remote Sensing, University of the Punjab, Lahore, 54590, Pakistanen
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.employeeEdokpayi, J.N., Faculty of Science, Engineering and Agriculture, University of Venda, Private Bag X5050, Thohoyandou, 0950, South Africaen
local.contributor.employeeAzhar, 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.issue8-
local.volume19-
dc.identifier.wos000787456800001-
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, 54770, Pakistanen
local.contributor.departmentDepartment of Nuclear and Renewable Energy, Ural Federal University, Mira 19, Ekaterinburg, 620002, Russian Federationen
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.departmentFaculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town, 8000, South Africaen
local.contributor.departmentFaculty of Science, Engineering and Agriculture, University of Venda, Private Bag X5050, Thohoyandou, 0950, South Africaen
local.identifier.pure29987582-
local.description.order4614-
local.identifier.eid2-s2.0-85127907269-
local.identifier.wosWOS:000787456800001-
local.identifier.pmid35457479-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

Файлы этого ресурса:
Файл Описание РазмерФормат 
2-s2.0-85127907269.pdf348,28 kBAdobe PDFПросмотреть/Открыть


Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.