Macit, Aybike

Profile URL
https://hdl.handle.net/11147/16113
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Main Affiliation
01. Izmir Institute of Technology
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Current Staff
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Sustainable Development Goals

NO POVERTY1
NO POVERTY
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ZERO HUNGER2
ZERO HUNGER
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
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QUALITY EDUCATION4
QUALITY EDUCATION
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GENDER EQUALITY5
GENDER EQUALITY
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
1
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INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
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CLIMATE ACTION13
CLIMATE ACTION
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LIFE BELOW WATER14
LIFE BELOW WATER
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LIFE ON LAND15
LIFE ON LAND
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
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Supervised MSc Theses

1

Supervised PhD Theses

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1

Supervised Theses

1

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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 Architecture
    In 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.