WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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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 - Scopus: 2Is Tourism Specialisation a Trap for Economic Growth? the Case of the Italian Regions(Routledge Journals, Taylor & Francis Ltd, 2024) Biagi, Bianca; Duran, Hasan Engin; Pulina, ManuelaTourism activity is a pivotal driver of global economic growth in an era of globalisation. Yet, its ecological footprints call for urgent sustainable practices. This paper enriches intricate interconnections between tourism, economic growth, and sustainability. Novel insights bridge gaps in understanding the effects of domestic and international tourism, regional heterogeneities, and spill-over effects, focusing on Italian regions (2004-2019). Based on a new neoclassical model, this study integrates key indicators beyond Gross Domestic Product and physical capital, encompassing sustainability (renewable energy) and human capital within the KLEM (Capital, Labour, Energy, Materials) specification. These frameworks assess multifaceted dynamics and raise questions about whether high tourism specialisation can lead to a trap for economic growth, development and, ultimately, socio-economic inequalities. Significantly, the research uncovers notable regional heterogeneities, and spill-over effects, shedding light on distinct economic trajectories and challenges, triggering the pursuit of resilience strategies. By highlighting intricate tourism-economy-sustainability connections, this study advances sustainable tourism understanding, urging a delicate balance between tourism's economic benefits and ecosystem concerns. It emphasises the need for eco-conscious practices and economic diversification to ensure harmonious development, aligning with the SDG agenda (UN, 2024).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.Article Citation - WoS: 1Citation - Scopus: 1State-Level Taylor Rule and Monetary Policy Stress(Instytut Badan Gospodarczych/Institute of Economic Research (Poland), 2023) Duran, Hasan Engin; Gajewski, PawelResearch background: Taylor rule is a widely adopted approach to follow monetary policy and investigate various mechanisms related to or triggered by monetary policy. To date, no in-depth examination of scale, determinants and spillovers of state-level monetary policy stress, stemming from the Federal Reserve Board's (Fed's) policy has been performed. Purpose of the article: This paper aims to investigate the nature of monetary policy stress on US States delivered by the single monetary policy by using a quarterly dataset spanning the years between 1989 and 2017. Methods: We apply a wide array of time series and panel regressions, such as unit root tests, co-integration tests, co-integrating FMOLS and DOLS regressions, and Spatial Panel SAR and SEM models. Findings & value added: When average stress imposed on states is calculated, it is observed that the level of stress is moderate, but the distribution across states is asymmetric. The cross-state determinants behind the average stress show that states with a higher percentage of working-age and highly educated population, as well as those with higher population density and more export-oriented are negatively stressed (i.e. they experience excessively low interest rates), whereas higher unemployment rate contributes to a positive stress (too high interest rates). To the best of our knowledge, the contribution of this paper lies in estimating monetary policy stress at the state level and unveiling some of the determinants of this stress. Moreover, the paper makes the first attempt to empirically test spatial spillovers of the stress, which are indeed found significant and negative.Article Citation - WoS: 12Citation - Scopus: 12Economic Resilience and Regionally Differentiated Cycles: Evidence From a Turning Point Approach in Italy(Wiley, 2023) Duran, Hasan Engin; Fratesi, UgoThe literature on regional resilience often neglects the timing of recessions and simply uses national cycles. Region-specific cycles and turning points might bias the results, however, and affect the choice of regions to target with policies. This paper investigates the geography and determinants of regional resilience with a regional turning point approach, using data for Italy, a country with a well-known and sizeable regional divide. The results show that the timing of regional cycles varies substantially and that the detected resilience determinants are different across the two approaches, implying that the policy levers may be wrongly estimated with national turning points.Article The Relationship Between Transportation Demand and Supply: Granger-Causality Test Using Time-Series Data(Pamukkale Üniversitesi, 2022) Duvarcı, Yavuz; Duran, Hasan EnginTransport demand and supply are deemed to determine each other in a cyclic manner. The major idea has been that the demand is usually the preceding one. However, in urban cases, usually the land use variables in place of supply interfere this process. Cleansing the land use variables, the regional/national level variable pairs of demand and supply are employed to analyze the cause-effect mechanism. For objectivity, the Granger-causality test (GCT) is used to understand the relationship between transportation demand and supply. The Analyses were made at four dimensions; (a)whether the nexus is one-directional or bi-directional, (b)its significance level, (c)whether demand or supply is the preceding, (d)whether the effects are short-term or long-term. Using the Turkish statistics, the GCT results showed that, in the short/medium run, overwhelmingly the supply variables preceded (mostly in railway mode), mostly unidirectional (one-way causality) manner, however, in the long-run almost no relationship was found. In other transportation modes, no significant relationship is observed. Finally, bi-directional relations were usually observed in suburban rail. The investments then should be made according to known demand. Usually, the effects of supply (especially of railways and roadways) could rather fade away in the long-run. Still, no general statement can be made for the demand/supply causality especially in terms of which one is preceding and of the direction of causality. The chaotic nature of the process reigns over with the changing conditions.Article Citation - WoS: 8Citation - Scopus: 8Validity of Okun’s Law in a Spatially Dependent and Cyclical Asymmetric Context(Savez Ekonomista Vojvodine, 2022) Duran, Hasan EnginThe current article analyzes the validity of Okun’s Law and sizable distortions that can occur in the estimation when spatial dependence and cyclical asymmetric impacts are not considered, which is a concern commonly ignored by the existing literature. Primarily spatial panel regressions (SDM, SAR, and SEM) and nonparametric regressions along with specification tests are adopted in terms of the methodology (such as panel unit root tests, panel cointegration, Moran’s I and Geary’s C tests of global spatial dependence, spatial LM, and Hausman tests). Additionally, spatial heterogeneity and cross-regional variation in Okun’s Law are investigated by adopting geographically weighted regression, LISA (local indicators for spatial association), and local Geary’s C analysis. A panel of 26 Turkish NUTS-2 regions from 2004 to 2018 was analyzed. The results clearly revealed that failing to incorporate spatial proximity and asymmetric cycle impacts leads to the biased estimation of Okun’s coefficient, such that during the downswing years of the national economy, Okun’s Law holds robustly: unemployment increases quickly in response to a decline in output. In contrast, during upswing years, the size of Okun’s coefficient is relatively much lower. Moreover, spatial dependence and heterogeneity are sizably evident. Okun’s coefficient is demonstrated to vary significantly across regions that have different industrial and labor market characteristics. As a policy implication, it has been understood that the reduction of unemployment is more difficult than initially understood, as economic growth itself does not provide a solution during upswing periods. The necessary special and region-specific policies are discussed throughout the text.Article Citation - WoS: 2Bölgesel İstihdam Dalgalanmalarının Şiddeti, Sebep ve Sonuçları: Türkiye Örneği(Yıldız Teknik Üniversitesi, 2017) Duran, Hasan Enginİktisadi “dalgalanma derecesi” veya diğer bir deyişle “oynaklık” (volatilite) sık ve şiddetli dalgalanan bir ekonomik yapıyı tanımlar. Günümüze kadar olan süreçte, bölge planlama ve iktisat literatüründe bu hususta araştırmalar yapılmış olsa da, istihdam dalgalanmalarının neden ve sonuçlarına, özellikle coğraf dağılımına ve bölgeler arası farklılıklarına çok az değinilmiştir. Bu çalışmanın amacı Türkiye’deki istihdam dalgalanmalarının sebeplerini araştırmak ve bölgeler arasında oluşan farklı dinamikleri ortaya çıkarmaktır. Diğer bir değişle, istihdam bakımından ülkemizinin hangi bölgeleri daha istikrarlıdır veya daha az şiddetli dalgalanmalara maruz kalmaktadır? Bu durumun altında yatan sebepler nelerdir? Bu sorular, TÜİK’in tanımladığı 26 Düzey-2 istatistiki bölge ve 2004-2013 dönemi için araştırılmıştır. Yöntem olarak, değişik panel regresyonları (Rassal Etki ve En Küçük Kareler yöntemi) ve zaman serisi metotları kullanılmıştır. Yapılan ampirik analizler sonucu iki temel bulgu elde edilmiştir. Birincisi, bölgeler arasında istihdam dalgalanma derecelerinin ciddi bir farklılaşma gösterdiğidir. İkincisi ise, bu durumun altında yatan faktörlerin çokça demografik ve piyasa büyüklüğü ile ilişkili olduğudur. Öyle ki, işgücüne katılımın yüksek olduğu bölgeler, nüfus ve istihdam bakımından büyük olan bölgeler ve ekonomik büyüme hızı ılımlı “ortalama-seviyede” olan bölgeler, daha istikrarlı bir istihdam görüntüsü çizmektedir.Article Citation - WoS: 9Citation - Scopus: 10Employment Volatility in Lagging and Advanced Regions: the Italian Case(Wiley, 2020) Duran, Hasan Engin; Fratesi, UgoThe presence of cycles characterizes all economic systems, but economic cycles have differentiated spatial impacts. Some regions have broader cycles with respect to the country, while others tend to be less responsive to shocks and hence have narrower cycles. Being exposed to broader cycles, that is, greater volatility, may increase the strain on a regional economic system. This paper investigates the different responsiveness to cyclical forces and volatility of regions in the long run. It does so by using quarterly employment data for the Nuts2 Italian regions over almost 40 years before and during the period 1978-2016. Explored in particular are the cross-regional variations in employment volatility and the reasons for the patterns observed, as well as whether they have changed the following different macroeconomic policy regimes. The paper identifies the break dates of different regimes, and these regime changes will be related to policy modifications, such as the implementation of the European Monetary Union. The determinants of this regional volatility appear to be quite stable, so that the changes in volatility are explained by how these determinants have changed overtime and how they are unevenly distributed in space. In particular, the lagging regions of the country suffer, in addition to lower production and income, from higher volatility due to a structure which is weaker and more unstable. Volatility can hence be an additional issue for lagging regions.