Master Degree / Yüksek Lisans Tezleri
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Master Thesis Functional Regions and Development Disparities in Turkey(01. Izmir Institute of Technology, 2021) Macit, Aybike; Duran, Hasan Engin; Duran, Hasan Engin; 02.03. Department of City and Regional Planning; 01. Izmir Institute of Technology; 02. Faculty of ArchitectureIn the current thesis, we would like to address two of them. First, in many existing studies, administrative regions are used in terms of spatial units. They might differ from functional regions as economic boundaries do not always coincide with geographical or administrative boundaries (Magrini 2007). In this study, we would like to focus on functional regions and compare the results provided by NUTS-2 regions. Second, in the calculation of HDI, the majority of studies have used traditional income, education, and health indicators. However, we think that employment and the labor market is a very crucial aspect that employment/unemployment directly points to a welfare loss. Hence, we would like to incorporate the employment rate in the calculation of HDI analysis. We focused on 26 NUTS-2 Turkish regions and functional 26 regions detected by Burak Beyhan's (2019) study. The period of the analysis is between 2009-2018. In terms of methodology, the explorative maps, Local and Global Moran's I, Kernel Density estimations, and spatial panel regressions are employed. Our analyses revealed 4 main results. First, there are sizable differences in human development across regions in Turkey. Second, the level of disparities was observed as worse when functional regions are used instead of NUTS-2 regions. Third, convergence across regions in development is more evident and pronounced under functional regions whereas no/weak such pattern is observed for NUTS-2 regions. Four, the development disparities are observed in a spatially correlated manner.Master Thesis House Price Dynamics in Izmir's Neighborhoods: a Comprehensive Approach(01. Izmir Institute of Technology, 2021) Sayın, Zeynep Melike; Elburz, Zeynep; Duran, Hasan Engin; Elburz, Zeynep; Duran, Hasan Engin; 01. Izmir Institute of Technology; 02.03. Department of City and Regional Planning; 02. Faculty of ArchitectureThe determinants of housing prices have a large place in empirical studies in the literature on housing markets. In the hedonic price modeling studies, structural and location-specific characteristics are considered as determinants under a cross-sectional study framework. Under another category, an approach is applied in which the effects of macroeconomic variables on housing prices are examined. The aim of this study is to examine the housing prices with a dynamic panel data set in Izmir through macroeconomic, neighborhood-specific and housing structural variables, to expand the scope of the related literature and to determine the effect level of these variables. Since spatial autocorrelation has been determined, the study has been extended within the scope of spatial models. The study area consists of 212 neighborhoods located in different districts of Izmir. The average housing sales data of these neighborhoods for 30 months in the 05.2017-10.2019 period were examined with 4 macroeconomic, 11 neighborhood-specific, and 9 housing structural characteristic variables, with descriptive analyses, panel linear regression, spatial autocorrelation tests, spatial panel regression, and geographically weighted regression (GWR). The results of the variables in the macroeconomic and the housing structural characteristics categories are consistent with the expectations formed as a result of the empirical literature review. The results of the neighborhood-specific variables raise new research questions. As a result of the spatial methods, a high level of spatial dependence and positive spatial spillover effects were determined. This study proves the validity of the use of spatial models in housing price research in Izmir..