Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Book Citation - Scopus: 1Thematic Encyclopedia of Regional Science(Edward Elgar Publishing Ltd., 2025) Nijkamp, P.; Kourtit, K.; Haynes, K.E.; Elburz, Z.This thematic Encyclopedia explores the multifaceted world of regional science, presenting a systematic and coherent overview of its central topics. It highlights the interdisciplinary nature of the field, examining the wide range of concepts, theories, methods and models that shape spatial-oriented approaches to the social sciences. © 2025 Elsevier B.V., All rights reserved.Book Part Monocentricity and Polycentricity(Edward Elgar Publishing Ltd., 2025) Elburz, Z.This is a definition of monocentricity and polycentricity in the Thematic Encyclopedia of Regional Science. This thematic Encyclopedia explores the multifaceted world of regional science, presenting a systematic and coherent overview of its central topics. It highlights the interdisciplinary nature of the field, examining the wide range of concepts, theories, methods and models that shape spatial-oriented approaches to the social sciences. Contributions from expert scholars delve into key aspects of regional science, from urban poverty and natural resource management to smart cities and AI. Highly accessible entries cover the definition, history, theoretical background, and applications of each topic, as well as avenues for future research. © 2025 Elsevier B.V., All rights reserved.Article Dynamics of Population Change in Rural Areas of Türkiye: a Spatial Analysis of Villages(Istanbul Teknik Universitesi, Faculty of Architecture, 2025) Kirdi, Ş.G.; Elburz, Z.The migration from rural to urban is a critical issue handled by different disciplines. Rural development strategies aim to improve rural areas and reduce inequalities. To formulate the various strategies, it is important to identify the causes of migration. This study aims to analyze the spatial tendency of population change in rural areas in Türkiye and put forward factors that cause this migration. First, LISA analysis is used to reveal spatial patterns of migrations. Then, the causes for migration have been analyzed with aspatial and spatial regression analysis. According to the study results, the change in the rural population in Türkiye shows a spatial autocorrelation. Settlements with high/low populations tend to cluster geographically. According to regression analysis, the presence of primary schools, the presence of the service sector, and the manufacturing sector employment positively affect rural population growth. Contradiction to this, distance to firsttier cities and the presence of a livestock sector have a negative effect. These results can guide policymakers to control and evaluate urban-rural population balance by providing local-scale suggestions for an emerging economy. © 2025, Istanbul Teknik Universitesi, Faculty of Architecture. All rights reserved.Article Citation - WoS: 3Citation - Scopus: 4Region-Specific Turning Points in Territorial Economic Resilience: A Business Cycle Approach To Turkey(Routledge, 2024) Duran, H.E.; Elburz, Z.; Kourtit, K.; Nijkamp, P.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. © 2023 Regional Studies Association.