City and Regional Planning / Şehir ve Bölge Planlama

Permanent URI for this collectionhttps://hdl.handle.net/11147/4274

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Author: search.filters.author.Kourtit, Karima

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  • Article
    Citation - WoS: 3
    Citation - Scopus: 4
    Region-Specific Turning Points in Territorial Economic Resilience: a Business Cycle Approach To Turkey
    (Routledge, 2023) Duran, Hasan Engin; Elburz, Zeynep; Kourtit, Karima; Nijkamp, Peter
    Almost all regional economic resilience studies measure resilience by referring to national time patterns of recessions. This study of region-specific patterns of resilience of 81 Turkish regions in the period 2009-20 and their underlying economic/demographic determinants in regions in Turkey shows that ignoring the different timings of regional and national economy recessions leads to misleading/biased results. The study shows first that provincial employment cycles are asynchronous. Second, the geographical pattern of resistance to the last 2018 economic crisis changes considerably when using province-specific rather than national turning points. Third, those provinces that are more open to trade, export- oriented, highly urbanised, and with a low level of human capital and entrepreneurial activities were more resistant to the recession.
  • Article
    Citation - WoS: 5
    Citation - Scopus: 6
    Well-Being and Geography: Modelling Differences in Regional Well-Being Profiles in Case of Spatial Dependence—evidence From Turkey
    (MDPI, 2022) Kourtit, Karima; Nijkamp, Peter; Elburz, Zeynep
    The aim of this study is to provide a new quantitative perspective on the geography of well-being using an urban–rural typology and characteristic city size elements in order to detect where people are happier and to examine the determinants of well-being by considering spatial dependence effects. We use 81 NUTS 3 regions and the time period 2012–2019 to analyse the geography of well-being for Turkey with panel and spatial panel models. Our results show that living in an urban area, in general, makes people happy, but that density negatively affects well-being. In addition, city size matters for enhancing well-being. We also analyse the determinants of well-being by using several socio-economic well-being indicators. Next, the aspatial and spatial model results based on spatial econometric regressions show that education, health, employment, and income are all important for well-being, whereas indirect effects (spillovers) of these indicators also exist. Our results indicate that ignoring spatial effects causes a misinterpretation of the effects of critical determinants of well-being in geography.