Testing convergence hypothesis for EU countries: a heterogenous panel data approach

dc.contributor.authorŞanlı, Devran
dc.contributor.authorArslan, Ramazan
dc.contributor.authorArslan, Ramazan
dc.contributor.authorŞanlı, Devran
dc.date.accessioned2025-10-18T10:07:09Z
dc.date.created2023
dc.date.issued2023
dc.departmentFakülteler, İktisadi ve İdari Bilimler Fakültesi, İktisat Bölümü
dc.description.abstractPurposeThis article investigates the validity of the different types (conditional, unconditional, deterministic, stochastic) of ss-convergence in per capita GDP for EU-28 and EU-19 between 1990 and 2019.Design/methodology/approachThe study uses nonstationary heterogeneous panel-data methodology.FindingsThe panel data reveal that both conditional and unconditional ss-convergence are valid in EU-28 countries However, only conditional convergence exists in EU-19 countries; group-specific findings show that the income levels of 10-EU countries converge toward the EU-19 average and 11-EU countries converge to the EU-28. The convergence speed to EU average varies between 15 and 18%. The robustness of the augmented mean group (AMG) findings are checked with common correlated effects mean group (CCEMG) and are consistent. Moreover, panel unit root tests are applied to examine the stochastic and deterministic convergence of the average EU per capita income in the two groups of EU economies. The findings show no evidence of deterministic or stochastic convergence in EU countries. Besides, conditional convergence has not been experienced in countries such as Bulgaria, Croatia, Czech Republic, Hungary, Latvia, Malta, Romania, Slovakia and Slovenia, which are new members of the EU. As a remarkable aspect of the study, the evidence suggests that the Brexit is economically rational for the UK.Originality/valueThe growth and convergence processes of economies differ from each other. Convergence studies in the literature are generally based on the cross-section OLS methodology. In this context, the study is one of the rare studies to examine convergence using heterogeneous panel techniques and allows the convergence of countries to the EU average to be analyzed individually.
dc.identifier.doi10.1108/JEAS-08-2022-0202
dc.identifier.endpage657
dc.identifier.issn1026-4116
dc.identifier.issn2054-6246
dc.identifier.issue2
dc.identifier.orcidSanli, Devran/0000-0003-4106-3799
dc.identifier.orcidARSLAN, RAMAZAN/0000-0002-4574-8819
dc.identifier.scopus2-s2.0-85194961676
dc.identifier.scopusqualityQ1
dc.identifier.startpage635
dc.identifier.urihttps://doi.org/10.1108/JEAS-08-2022-0202
dc.identifier.urihttps://hdl.handle.net/11772/21407
dc.identifier.volume41
dc.identifier.wosWOS:000937687600001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherEmerald Group Publishing Ltd
dc.relation.ispartofJournal of Economic and Administrative Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgGoal-08: Decent Work And Economic Growth
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWoS_20251016
dc.subjectGrowth
dc.subjectEuropean Union
dc.subjectConvergence
dc.subjectCatching-Up
dc.subjectHeterogeneous Panel Data
dc.subjectC12
dc.subjectC33
dc.subjectO47
dc.subjectO52
dc.titleTesting convergence hypothesis for EU countries: a heterogenous panel data approach
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication725cb6f5-1f6c-4293-8de7-4212b331c3c8
relation.isAuthorOfPublicationac76c09b-1c2e-49ad-95af-d53e2283857d
relation.isAuthorOfPublication.latestForDiscovery725cb6f5-1f6c-4293-8de7-4212b331c3c8

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