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dc.contributor.authorFalcıoğlu, Pınaren_US
dc.contributor.authorAkgüngör, Emine Sedefen_US
dc.date.accessioned2015-01-15T23:01:07Z
dc.date.available2015-01-15T23:01:07Z
dc.date.issued2008-02
dc.identifier.citationFalcıoǧlu, P. & Akgüngör, E. S. (2008). Regional specialization and industrial concentration patterns in the turkish manufacturing industry: An assessment for the 1980-2000 period. European Planning Studies, 16(2), 303-323. doi:10.1080/09654310701814678en_US
dc.identifier.issn0965-4313
dc.identifier.issn1469-5944
dc.identifier.urihttps://hdl.handle.net/11729/309
dc.identifier.urihttp://dx.doi.org/10.1080/09654310701814678
dc.description.abstractPrevious studies on geographical distribution of economic activity in Turkey demonstrate that firms are localized in major metropolitan areas as well as a set of emerging regions. The aim of the paper is to complement the findings of the studies on regional and industrial concentration in Turkey's manufacturing industry by exploring whether regional specialization and industrial concentration patterns changed during the 1980-2000 period. The paper further aims to explore the driving forces of industrial concentration in Turkey's manufacturing industry, particularly during Turkey's economic integration process that started with trade liberalization after 1980 and further developed with the Customs Union in 1996. Regional specialization and industrial concentration are measured by GINI indices Turkey's NUTS-2 regions at the four-digit level for the years between 1980 and 2000. To investigate which variables determine industry concentration, systematic relation between the characteristics of the industry and industrial concentration is tested. Following the method proposed by Paluzie, Pons and Tirado, a panel regression equation is estimated, where the dependent variable is the Gini concentration index and the independent variables are the variables that represent the characteristics of the sectors that follow the predictions of classical trade theory, new trade theory and new economic geography. The major finding of the study is that during 1980-2000, Turkey's regions became more specialized and industry became more concentrated. Increases in the average values of regional specialization and industrial concentration support the prediction developed by Krugman hypothesis that regions become more specialized and industries become more concentrated with economic integration. In exploring the driving forces of industrial concentration, the findings demonstrate that firms tend to cluster in regions where there are economies of scale.en_US
dc.language.isoengen_US
dc.publisherRoutledge Journals, Taylor & Francis Ltden_US
dc.relation.isversionof10.1080/09654310701814678
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClustersen_US
dc.subjectEconomic activityen_US
dc.subjectEconomic integrationen_US
dc.subjectEconomy of scaleen_US
dc.subjectGeographical distributionen_US
dc.subjectIndustrial developmenten_US
dc.subjectIndustrial performanceen_US
dc.subjectManufacturingen_US
dc.subjectMetropolitan areaen_US
dc.subjectTrade liberalizationen_US
dc.subjectEurasiaen_US
dc.subjectTurkeyen_US
dc.titleRegional specialization and industrial concentration patterns in the Turkish manufacturing industry: An assessment for the 1980-2000 perioden_US
dc.typearticleen_US
dc.description.versionPublisher's Versionen_US
dc.relation.journalEuropean Planning Studiesen_US
dc.contributor.departmentIşık Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümüen_US
dc.contributor.departmentIşık University, Faculty of Economics and Administrative Sciences, Department of Managementen_US
dc.identifier.volume16
dc.identifier.issue2
dc.identifier.startpage303
dc.identifier.endpage323
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorFalcıoğlu, Pınaren_US
dc.relation.indexWOSen_US
dc.relation.indexScopusen_US
dc.relation.indexConference Proceedings Citation Index – Social Science & Humanities (CPCI-SSH)en_US
dc.relation.indexSocial Sciences Citation Index (SSCI)en_US
dc.description.qualityQ2
dc.description.wosidWOS:000252717200007


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