Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14838
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dc.contributor.authorDuran,H.E.-
dc.contributor.authorÇifçi,B.D.-
dc.contributor.authorKarabakan,B.-
dc.contributor.authorDoğan,F.-
dc.date.accessioned2024-09-24T15:58:56Z-
dc.date.available2024-09-24T15:58:56Z-
dc.date.issued2024-
dc.identifier.issn2063-9538-
dc.identifier.urihttps://doi.org/10.15196/RS140406-
dc.identifier.urihttps://hdl.handle.net/11147/14838-
dc.description.abstractThe aim of this paper is to explore the evolution of socioeconomic development and income disparities and convergence patterns across Turkish provinces, emphasizing the impact of spatial heterogeneities. We propose two types of contributions to the literature. First, most of the studies that apply the β-convergence method presume a unique β parameter, assuming that all regions homogenously converge to the steady state at the same pace. However, we argue that relaxing this assumption by way of considering spatial heterogeneities might be more informative. Second, we provide a simple solution to a severe problem: The neoclassical model assumes a monotonic saddle path along which economic fluctuations are not considered, which might be particularly influential with regard to convergence when the time span is too short to capture long-term evolution. Many empirical studies cover only short periods, which may be easily dominated by recessions or expansions, significantly biasing the results. To overcome this problem, we look into two datasets covering long periods (1963–2017 and 1975–2021). Having applied various empirical methods, such as spatial regressions, GWR and nonparametric regressions, we obtain several results. First, at the country level, there is empirical evidence of regional convergence and decreasing development inequalities. Second, however, this convergence process is not valid in all areas. We conclude that there is nonnegligible spatial heterogeneity that should be taken into account in such analyses. © (2023), (Hungarian Central Statistical Office). All Rights Reserved.en_US
dc.language.isoenen_US
dc.publisherHungarian Central Statistical Officeen_US
dc.relation.ispartofRegional Statisticsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGWRen_US
dc.subjectnonparametric regressionsen_US
dc.subjectsocioeconomic and development disparitiesen_US
dc.subjectspatial heterogeneityen_US
dc.titleSocio-economic and development disparities over the long-run: exploring spatial heterogeneities in the case of Turkeyen_US
dc.typeArticleen_US
dc.departmentIzmir Institute of Technologyen_US
dc.identifier.volume14en_US
dc.identifier.issue4en_US
dc.identifier.startpage743en_US
dc.identifier.endpage767en_US
dc.identifier.scopus2-s2.0-85203245595-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.15196/RS140406-
dc.authorscopusid55605421200-
dc.authorscopusid59316601200-
dc.authorscopusid57348504300-
dc.authorscopusid35387836500-
dc.identifier.scopusqualityQ1-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextnone-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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