WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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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: 3Citation - Scopus: 4Inflation Differentials Across Regions in Turkey(School of Economics and Business in Sarajevo, 2016) Duran, Hasan EnginThe aim of the present article is to analyze the convergence of regional inflation rates in Turkey from 2004 to 2015 by adopting sigma convergence and distribution dynamics approaches. The outcomes of our research can be summarized in two groups. First, inflation disparities tend to decline over time, especially during the post-crisis period after 2010. Hence, the aggregate price stabilization and disinflation process in Turkey is coupled with convergence in inflation rates across regions. Second, in addition to the findings in the literature, we find that regions change their relative inflation rate positions quite often. This indicates that regional inflation behavior is random and non-structural, as the relatively high and low inflationary places tend to change their quintiles frequently. The results imply several policy suggestions. First, achieving inflation convergence is a harder task than initially understood, as it seems to show random behavior. Second, trade integration can be an option to foster regional price convergence.Article Citation - WoS: 6Citation - Scopus: 9Dynamics of Business Cycle Synchronization in Turkey(Savez Ekonomista Vojvodine, 2015) Duran, Hasan EnginThe aim of the present article is to investigate the economic determinants of the synchronization across regional business cycles in Turkey between 1975 and 2010. The vast majority of studies in this field have concentrated on well-known determinants, such as inter-regional trade, financial integration, and industrial specialization, while largely ignoring spatial and geographical factors, including differences across regions in agglomeration, localization economies, market size, and urbanization. In this article, we incorporate these variables into our analysis and evaluate their roles in the comovement of regional business cycles. Our findings indicate two major results: first, low degree of synchronization during 1975-2000 has switched to relatively more correlated and synchronously moving regional cycles during 2004-2010. Second, having tested the variety of determinants, we find that the pairs of regions that have more similar industrial structure and market size, trade integration, and arbitrary degree of agglomeration and urbanization tend to synchronize more. Significance of these variables is robustly evident regardless of the time period analyzed and of the type of methodology employed.