Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Citation - WoS: 5Citation - Scopus: 7Polycentricity and Regional Economic Resilience: a Ridge Regression Approach(Elsevier Sci Ltd, 2025) Cifci, Burcu Degerli; Duran, Hasan EnginResilience and "polycentricity" have surged as popular concepts over the recent decades, although the link between the two has not yet been investigated empirically. Identification of this relationship and its theoretical justification are politically crucial to shed light on prospective policies for urbanization and regionalization. Thus, the aim of this study is to investigate the impact of polycentricity/monocentricity on the regional resilience of Turkish (Nuts-2) regions against the global financial crisis in 2008/09. This paper also identifies the channels through which it can influence resilience. Through the application of a rich set of empirical tools, including computation of monocentricity degree, resistance, recovery, and adaptability indexes based on national and regional business cycle turning points, LOESS, RIDGE regressions, and inferential mediation tests, three main conclusions were obtained. First, polycentric regions were evidently more resistant to the crisis compared to monocentric morphologies; the later were more industrialized and open to trade, which made them more vulnerable to the crisis. Second, polycentric spatial structures were found to recover more quickly compared to monocentric regions. Third, monocentric regions clearly adapt better to long-term trajectories. In sum, the wellknown strategy of the European Union rooted in "polycentric development" can still be valid for the purposes such as resisting to and recovering from economic disruptions. However, in the long-run, polycentrilization can hardly be seen as an optimal strategy, particularly in the context of adapting to the future trajectories.Article Citation - WoS: 2Citation - Scopus: 1The Future of European Regional Inequalities: Box-Cox Transformed Arma Process Trend Smoothing (Bats) Forecasting(Wiley, 2025) Duran, Hasan Engin; Elburz, Zeynep; Cifci, Burcu DegerliThe vast majority of the empirical studies on regional economic inequalities has analyzed the past evolutions, while the future trajectories are often ignored. Despite, no methods exist to predict the future precisely, it is worthwhile to shed light on the prospective tendencies in order to plan and formulate the policies at the present time. The current study addresses the following questions; Will regional convergence continue in Europe? Which regions will become more prosperous? What are the future determinants of regional growth? Our dataset covers 236 NUTS-2 regions belonging to the 28 European Countries for the period 2000-2022. In terms of methodology, we use a nonlinear forecasting technique BATS ("Box-Cox Transformation, ARMA errors, Trend and Seasonal Components") model and Spatial Durbin Regressions along with explorative maps and descriptive statistics. As an outcome of the analyses, we obtained several remarkable results. First, regional inequalities are expected to widen by 2050 indicating the evidence of regional divergence. Second, spatial poles of prosperity are likely to change substantially. Most of the regions belonging to the countries in the "Mediterranean Basin" are predicted to remain relatively backward while many Eastern European regions are expected to rise in prosperity. Northern and Central European regions are likely to keep their prosperous position. Third, several crucial determinants of future growth patterns are detected. It appeared that younger demographic profile, industrialization and cohesion policies (particularly for CEE regions) have become key factors of future growth performance.Article Citation - WoS: 1Citation - Scopus: 1Socio-Economic and Development Disparities Over the Long-Run: Exploring Spatial Heterogeneities in the Case of Turkey(Hungarian Central Statistical Office, 2024) Duran, Hasan Engin; Cifci, Burcu Degerli; Karabakan, Berfin; Dogan, FehmiThe 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 13- convergence method presume a unique 13 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.