Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14838
Title: Socio-economic and development disparities over the long-run: exploring spatial heterogeneities in the case of Turkey
Authors: Duran,H.E.
Çifçi,B.D.
Karabakan,B.
Doğan,F.
Keywords: GWR
nonparametric regressions
socioeconomic and development disparities
spatial heterogeneity
Publisher: Hungarian Central Statistical Office
Abstract: The 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.
URI: https://doi.org/10.15196/RS140406
https://hdl.handle.net/11147/14838
ISSN: 2063-9538
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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