Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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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 Hybrid Energy Capacity of Turkey for Small and Micro Scale Energy Production(Izmir Institute of Technology, 2017) Yıldız, Mustafa; Bingöl, Ferhat; Gökçen Akkurt, GüldenTurkish state has opened a new possibility on investing small or micro scale energy production without license in 2014. This is a new step in Turkish energy market and two renewable energy sources are considered to be the main interest; wind and solar. Although there are studies covering both technology separately, currently there is no hybrid system assessment methodology and results for the country. This thesis aims to create a quantified hybrid energy capacity of Turkey. The study will include total energy capacity of a given location based on small scale wind and solar and furthermore would be able to suggest an optimum balance between these two sources to get the maximum production capacity out. The study does not cover areas that such investment cannot be done; environmental protected areas, historical places, city centers etc.Master Thesis Environmental Impact and Capacity Analysis of Renewable Energy Resources: Case Study of Wind Energy in Turkey(Izmir Institute of Technology, 2016) Değirmenci, Sinem; Bingöl, Ferhat; Sofuoğlu, Sait Cemil; Bingöl, Ferhat; Sofuoğlu, Sait CemilThe majority of electricity in Turkey is generated from coal and natural gas; however, renewable energy, especially wind power, is a promising energy source for Turkey. Development of new wind energy project requires complex planning process involving many social, technical, economic, environmental, political concerns and different agents such as investors, utilities, governmental agencies or social groups. To address the proper site selection, a Geographic Information System (GIS) based Multi- Criteria Decision-Making (MCDM) method has been used in previous studies. The aim of this study is to develop a GIS-based multi-criteria decision making application which can be updated by the changing regulations to identify potential sites for wind power plants in Turkey. A variety of constraints and factors were identified based on a literature review, regulations and gathered from variety of agencies. After excluding of infeasible sites, pairwise comparisons was carried out using analytic hierarchy process (AHP) as MCDM method by the study group to estimate relative importance of the criteria. The suitability map obtained from MCDM analysis was divided into four classes from the low suitable to extremely suitable area. As a final stage, decision making was carried out with the objectives by environmental impact approach. The output of this study can be used by energy planners to estimate the extent that wind energy can be developed based on public perception, administrative and environmental aspects.