Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://elar.urfu.ru/handle/10995/118025
Полная запись метаданных
Поле DCЗначениеЯзык
dc.contributor.authorUllah, A.en
dc.contributor.authorRaza, K.en
dc.contributor.authorNadeem, M.en
dc.contributor.authorMehmood, U.en
dc.contributor.authorAgyekum, E. B.en
dc.contributor.authorElnaggar, M. F.en
dc.contributor.authorAgbozo, E.en
dc.contributor.authorKamel, S.en
dc.date.accessioned2022-10-19T05:21:09Z-
dc.date.available2022-10-19T05:21:09Z-
dc.date.issued2022-
dc.identifier.citationDoes Globalization Cause Greenhouse Gas Emissions in Pakistan? A Promise to Enlighten the Value of Environmental Quality / A. Ullah, K. Raza, M. Nadeem et al. // International Journal of Environmental Research and Public Health. — 2022. — Vol. 19. — Iss. 14. — 8678.en
dc.identifier.issn16617827-
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85135114129&doi=10.3390%2fijerph19148678&partnerID=40&md5=dabb187163a7c6d65a41bb641ae143fblink
dc.identifier.urihttp://elar.urfu.ru/handle/10995/118025-
dc.description.abstractGlobal environmental issues such as environmental degradation, climate change, and global warming have posed a threat to the global economy, including Pakistan. The primary source of these problems is greenhouse gas emissions. These emissions are the result of human activity. The objective of the study was to investigate the symmetric and asymmetric relationship between globalization and greenhouse gas emissions in Pakistan. The ARDL modern econometric techniques of the time series model were used. Firstly, the stationarity test favors the use of the ARDL model in this study. The BDS test result confirmed that the ARDL model has a non-linearity issue. As a result, the ARDL approach was used to test both the symmetric and asymmetric effect. The results of the asymmetric ARDL model are more robust and reliable than those of the symmetric ARDL model. According to the results of the symmetric ARDL, economic, social, and political globalization have a positive relationship with greenhouse gas emissions in both the short and long run. Furthermore, the long-run results of the asymmetric ARDL model show that positive and negative shocks of economic and political globalization have positive and negative shock effects on greenhouse gas emissions. In the long run, however, the positive shock of social globalization has a negative relationship with greenhouse gas emissions. According to the results of impulse response functions, economic globalization has a significantly more relationship with greenhouse gas emissions than social and political globalization. A policy should be developed that allows only the positive effects of globalization while prohibiting the negative effects of globalization. © 2022 by the authors.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.subjectENVIRONMENTAL DEGRADATIONen
dc.subjectGLOBALIZATIONen
dc.subjectGREENHOUSE GAS EMISSIONSen
dc.subjectNON-LINEAR ARDLen
dc.subjectPAKISTANen
dc.subjectARTICLEen
dc.subjectGREENHOUSE GAS EMISSIONen
dc.subjectHUMANen
dc.subjectNONLINEAR SYSTEMen
dc.subjectPAKISTANen
dc.subjectTIME SERIES ANALYSISen
dc.subjectECONOMIC DEVELOPMENTen
dc.subjectGREENHOUSE GASen
dc.subjectINTERNATIONAL COOPERATIONen
dc.subjectPAKISTANen
dc.subjectCARBON DIOXIDEen
dc.subjectCARBON DIOXIDEen
dc.subjectECONOMIC DEVELOPMENTen
dc.subjectGREENHOUSE GASESen
dc.subjectHUMANSen
dc.subjectINTERNATIONALITYen
dc.subjectPAKISTANen
dc.titleDoes Globalization Cause Greenhouse Gas Emissions in Pakistan? A Promise to Enlighten the Value of Environmental Qualityen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/ijerph19148678-
dc.identifier.scopus85135114129-
local.contributor.employeeUllah, A., Department of Economics, Divisions of Management Administrative Science, University of Education, Punjab, Lahore, 54770, Pakistanen
local.contributor.employeeRaza, K., UE Business School, Divisions of Management Administrative Science, University of Education, Punjab, Lahore, 54770, Pakistanen
local.contributor.employeeNadeem, M., Department of Economics, Divisions of Management Administrative Science, University of Education, Punjab, Lahore, 54770, Pakistanen
local.contributor.employeeMehmood, U., Remote Sensing, GIS and Climatic Research Lab (National Centre of GIS and Space Applications), Centre for Remote Sensing, 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, Ekaterinburg, 620002, Russian Federationen
local.contributor.employeeElnaggar, M.F., Department of Electrical Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, 16273, Saudi Arabia, Department of Electrical Power and Machines Engineering, Faculty of Engineering, Helwan University, Hewlan, 11795, Egypten
local.contributor.employeeAgbozo, E., Department of Big Data Analytics and Methods of Video Analysis, Ural Federal University Named after the First President of 10 Russia Boris Yeltsin, 19 Mira Street, Ekaterinburg, 620002, Russian Federationen
local.contributor.employeeKamel, S., Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan, 81528, Egypten
local.issue14-
local.volume19-
dc.identifier.wos000832087400001-
local.contributor.departmentDepartment of Economics, Divisions of Management Administrative Science, University of Education, Punjab, Lahore, 54770, Pakistanen
local.contributor.departmentUE Business School, Divisions of Management Administrative Science, University of Education, Punjab, Lahore, 54770, Pakistanen
local.contributor.departmentRemote Sensing, GIS and Climatic Research Lab (National Centre of GIS and Space Applications), Centre for Remote Sensing, 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, Ekaterinburg, 620002, Russian Federationen
local.contributor.departmentDepartment of Electrical Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, 16273, Saudi Arabiaen
local.contributor.departmentDepartment of Electrical Power and Machines Engineering, Faculty of Engineering, Helwan University, Hewlan, 11795, Egypten
local.contributor.departmentDepartment of Big Data Analytics and Methods of Video Analysis, Ural Federal University Named after the First President of 10 Russia Boris Yeltsin, 19 Mira Street, Ekaterinburg, 620002, Russian Federationen
local.contributor.departmentDepartment of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan, 81528, Egypten
local.identifier.pure30707899-
local.description.order8678-
local.identifier.eid2-s2.0-85135114129-
local.identifier.wosWOS:000832087400001-
local.identifier.pmid35886530-
Располагается в коллекциях:Научные публикации, проиндексированные в SCOPUS и WoS CC

Файлы этого ресурса:
Файл Описание РазмерФормат 
2-s2.0-85135114129.pdf1,66 MBAdobe PDFПросмотреть/Открыть


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