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[working paper]

dc.contributor.authorSerfraz, Ayeshade
dc.date.accessioned2023-02-15T12:38:46Z
dc.date.available2023-02-15T12:38:46Z
dc.date.issued2022de
dc.identifier.issn1868-4947de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/85215
dc.description.abstractThe global COVID-19 pandemic brought many challenges for the world including the downfall in foreign direct investment inflows (FDI). Although there are many other factors which cause a decline in FDI inflows in Pakistan but present study mainly focuses on COVID-19 pandemic as this resulted in closures of borders causing a sharp decline in FDI inflows. For this purpose, this study uses monthly data of Pakistan, starting from January 2020 (start of COVID-19 in Pakistan) till May 2022 (time period in which study has been conducted) to empirically analyze the relationship between FDI inflows and COVID-19. The results of ADF test statistic show that data is integrated of order (1). Johansen Co-integration approach is used to determine the relationship. Taking FDI inflows as a dependent variable and COVID-19 cases as an independent variable, the results suggest a linear co-integration relationship between these two variables with FDI inflows having a negative sign indicating a negative relationship between FDI inflows and COVID-19 cases. This study is innovative in the sense that it concentrates on finding a proper empirical relationship between FDI inflows and COVID-19 and does not focus only in analyzing existing figures. Empirical results suggest that Pakistan must devise such policies that can be implemented immediately in such unforeseen conditions as more and new variants are coming to surface. The availability of data puts a limitation on application of empirical technique since COVID-19 started in 2020 in Pakistan and the pandemic is still not over. In coming years, a time series analysis would be possible to carry a long run investigation. The co-integration technique is the most useful at the moment as it not only mentions the relationship between the variables during pandemic but also makes a future forecast.de
dc.languagedede
dc.subject.ddcWirtschaftde
dc.subject.ddcEconomicsen
dc.subject.otherCorona; Covid-19; Corona-Virus; co-integration analysis; unit root test; EViews; FDI inflowsde
dc.titleRelationship between Foreign Direct Investment Inflows and Covid-19 Pandemic in Pakistan: A Monthly Co-Integration Analysisde
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.volume97de
dc.publisher.countryDEUde
dc.publisher.cityHamburgde
dc.source.seriesZÖSS Discussion Paper
dc.subject.classozVolkswirtschaftstheoriede
dc.subject.classozNational Economyen
dc.subject.thesozPakistande
dc.subject.thesozPakistanen
dc.subject.thesozDirektinvestitionde
dc.subject.thesozdirect investmenten
dc.subject.thesozAuslandde
dc.subject.thesozforeign countriesen
dc.subject.thesozEpidemiede
dc.subject.thesozepidemicen
dc.subject.thesozInfektionskrankheitde
dc.subject.thesozcontagious diseaseen
dc.identifier.urnurn:nbn:de:0168-ssoar-85215-7
dc.rights.licenceDeposit Licence - Keine Weiterverbreitung, keine Bearbeitungde
dc.rights.licenceDeposit Licence - No Redistribution, No Modificationsen
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10042340
internal.identifier.thesoz10037284
internal.identifier.thesoz10037276
internal.identifier.thesoz10042424
internal.identifier.thesoz10047305
dc.type.stockmonographde
dc.type.documentArbeitspapierde
dc.type.documentworking paperen
dc.source.pageinfo20de
internal.identifier.classoz1090301
internal.identifier.document3
dc.contributor.corporateeditorUniversität Hamburg, Fak. Wirtschafts- und Sozialwissenschaften, FB Sozialökonomie, Zentrum für Ökonomische und Soziologische Studien (ZÖSS)
internal.identifier.corporateeditor337
internal.identifier.ddc330
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence3
internal.identifier.pubstatus1
internal.identifier.review2
internal.identifier.series627
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.ocrnull Page_22
internal.pdf.encryptedfalse


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