Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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Master Thesis İmar Hakkı Transferinin (İHT) Konut Fiyatları Üzerindeki Etkisi: Istanbul, Arnavutköy Örneği(2025) Sözbir, Beril; Duran, Hasan Enginİmar haklarının transferi (IHT) modeli, yapılaşmaya kapatılan ya da korunması gereken bir parselin (gönderen alan), kentsel büyümeye uygun alıcı alanlara aktarılmasını sağlamaktadır. Bu mekanizma, dengeli ve adil bir kentsel gelişim sürecini teşvik ederken, çevresel ve kültürel varlıkları korumayı amaçlamaktadır. Bu çalışma, IHT modelinin, Türkiye'de modelin ilk uygulama alanlarından biri olarak kabul edilen İstanbul'un Arnavutköy ilçesinde, Arnavutköy Merkez Mahallesi'ndeki konut değerleri üzerindeki etkilerini araştırmaktadır. İmar planı çerçevesinde, korunan ve T4 bölgesi olarak adlandırılan dere koridoru, gönderen alan olarak, web kazıma yöntemi ile belirlenen satılık konutların konumlandığı 100 parsel alıcı alan olarak seçilmiştir. Bu kapsamda, alıcı alanların gönderen alanlara mesafesinin, konut piyasasında nasıl bir etki yarattığı mekansal ve istatistiksel analitik yöntemler kullanılarak araştırılmıştır. Sonuçlar mevcut durumda IHT modelinde gönderen alanın alıcı alana mesafesinin konut fiyatlarını doğrudan etkilemediğini göstermektedir. Planlama açısından bu durum, gönderen alanların alıcı alanlara mesafesinin tek başına güçlü bir etki yaratmayacağını; ancak yoğunluk bonusları, esnek transfer oranları, mali teşvikler ve kurumsal mekanizmalar ile desteklendiğinde etkinlik kazanabileceğini göstermektedir.Master Thesis Functional Regions and Development Disparities in Turkey(01. Izmir Institute of Technology, 2021) Macit, Aybike; Duran, Hasan EnginIn 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 EnginThe 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..Master Thesis Hedonic Price Modelling in Turkish Real Estate Markets: the Case of Bayraklı, Izmir(Izmir Institute of Technology, 2019) Akçay, Nilay; Duran, Hasan EnginHousing markets are often recognized as heterogenous structures that varies across spatial units and time. The determinants of house prices have been increasingly analzed recently in the literature, but, mostly in a linear setting, in almost all studies. Purpose of the current study is to investigate the micro-determinants of house prices in Adalet and Mansuroğlu Neighborhoods located in Bayraklı District of İzmir Province by using both linear Hedonic and nonlinear methods. In total, 278 apartments are analyzed. The data is collected in a period November 2018 - March 2019. The semi-logarithmic linear and non-parametric nonlinear forms were used as a functional form in order to analyze the significance of physical and environmental characteristics of the apartments. As a result, nonlinearity is found as weakly evident which fails to alter the results obtained from linear method. In terms of determinants, structural carachteristics (i.e. size, rooms and age of the building) are found as more significant determinants than locational caractheristics (i.e. distance from CBD).Master Thesis Regional Determinants and Geographical Distribution of Social Capital in Turkey(Izmir Institute of Technology, 2018) Arslan, Hüseyin Mert; Duran, Hasan EnginPurpose of the present thesis is to improve the shortcomings of the empirical literature on regional social capital and investigate the following three less addressed research questions; i. Do regional social capital and economic growth have an endogenous circular relationship? ii. What are the determinants behind cross-regional variation in social capital? iii. Are there any significant spatial spillovers of social capital across neighboring regions? Empirically, the social capital (for 81 Turkish provinces in 2015) was measured by using three indicators; social trust, norms, and participation. In terms of methodology, descriptive statistics, illustrative maps, Kernel density estimates, Jarque- Bera Normality tests, cross-sectional OLS, 3SLS and Spatial Error Model (SEM) models were adopted. As an outcome, the results of the thesis can be summarized into four groups. First, regional social capital is heterogeneously distributed across regions, particularly in social participation. Second, having estimated the models, it is understood that social capital has no significant impact on economic growth but the growth induces significantly the generation of social capital (only in types of social norms). This represents the first result of reserve causality that has not yet been considered by the literature. Third, crossregional variation in social capital is best explained by robustly significant economic and demographic determinants. Hence, a typical province that has high social capital can be defined as an Anatolian province with a relatively high-income level, low unemployment and poverty rate, big households and older age profile. Fourth, social capital is shown to emerge in spatially correlated clusters.Master Thesis Determinants of Regional Housing Prices in Turkey(Izmir Institute of Technology, 2017) Özdoğan, Hilal; Duran, Hasan EnginIn the literature on regional housing prices, two main groups of determinants are primarily put forward; speculative and fundamental variables. Empirical literature in this field has several shortcomings. First, although existing studies have analyzed the role played by speculative factors, none of the studies, have measured precisely the relative importance of speculative and fundamental variables. We aim at doing this. Moreover, the literature has measured the speculation only by analyzing backwardlooking behavior. We improve this analysis by considering also forward-looking expectations. Second, in terms of cross-regional determinants, literature has largely considered economic and demographic variables whereas; geographic, urbanization and cultural variables have been ignored. We intend to incorporate them. Hence, aim of this paper is to understand the dynamics behind the housing prices in 26 Turkish regions between 2010:1-2016:9. We employ range of econometric methods such as Vector- Autoregressions, Unit Root Analysis, Cholesky Forecast Error Variance Decompositions, Impulse-Response Functions, Panel Regressions, Lagrange Multiplier Spatial Dependence Tests and Granger Causality Tests. As an outcome, three results emerge. First, housing price appreciations are so heterogeneous across regions. Second, role of speculative behavior is quite significant. Third, regions which have high urbanization, population, crime rate, trade openness, vehicle ratio, seaside and cultural activity ratios experience faster housing appreciations.Master Thesis Spatial Effects of Trade Openness: Regional Inequality, Trade Openness and Liberal Trade Policies in Turkey(Izmir Institute of Technology, 2015) Erdem, Umut; Duran, Hasan EnginAim of the present thesis is to investigate impact trade liberalization on the evolution of regional income inequalities in Turkey between 1975 and 2011. Despite the large body of literature on this subject, there exist several directions which need to be furthert explored . i. so far in the literatur, the concept of trade openness is too broadly defined, However, it is not only 'trade' per se that can affect the regional economies but the composition of trade is also of great importance (Rodriquez-Pose and Gill, 2006). Indeed, it can be partitioned into several components, such as exports and imports (or manufacturing and agricultural trade) We analyze separately the impact of each component on the evolution of regional inequalities. ii. in most of the empirical studies dealing with this issue, neighboring regions are assumed to have no spatial economic interconnection between each other. We, therefore, incorporate spatial spillovers of trade and growth into our analysis.Our results can be summarized in three groups: First, regional inequalities tend to decline over the period of analysis. Second, initially poorer regions that experience an export-based liberalization (particularly in manufacturing goods, not in agricultural goods) trnd to grow faster than richer ones. Imports, on the other hand, heve an opposite effect. Third, the spatial spillovers of growth are found to evident across regions. Such that, growth in a region spilled over to the neighboring ones, positively.Master Thesis Modelling and Fitting of the Wind Data Using Different Time Series Models and Investigating the Relared Applications of Fitted Data. Urla and Risø Cases(Izmir Institute of Technology, 2014) Yıldırım, Nurseda; Duran, Hasan Engin; Bingöl, FerhatThis thesis is prepared as an outcome of Energy Engineering Master of Science program at IZTECH. Main purpose of this study is to investigate the possible ways of estimating the evolution of wind speed in Turkey, which is useful in predicting the wind power generation. Wind Energy has recently been recognized as one of the most promising renewable energy sources in the world. Despite its high potential, one major problem is that it is an intermittent energy source which follows, in general, statistically a quite noisy evolution with large variability and difficulty in forecasting. Standard time series models have been employed to forecast the wind speed in the literature (such as ARIMA, ARMA). The majority of these, however, are based on a univariate modelling. This is likely to create a significant loss in forecast accuracy as the important dynamics of wind such as ambient temperature, absolute pressure, wind direction and humidity are ignored. So, aim of the present study is to incorporate these factors in a multivariate VAR setting and estimate the wind speed in 4 different locations around Urla City (nearby Izmir-Turkey) by employing hourly data between June-2000 and October-2001. To provide a benchmark, I also compare estimations from VAR with the predictions from ARIMA and SARIMA models. The results indicate two important conclusions. First, it has been shown that all models provide an accurate estimate of wind speed. Second, multivariate VAR and SARIMA is clearly shown to outperform the ARIMA model by improving the wind speed predictions and producing less forecast errors. Thus, these models are demonstrated to be helpful in estimating the wind power generation as well.