Akademik Veri Yönetim Sistemi
International Journal of Sociology and Social Policy, 2024 (ESCI)
Purpose: The main purpose of this research is to understand and explain the clustering and/or segregation patterns of the rapid, massive and unexpected flow of Syrian refugees to Türkiye. Design/methodology/approach: The analytical framework we use consists of three parts. In the first stage, we created a two-group model in which utility is assumed to be a function of consumption and the proportion of the population belonging to the same group living in their neighborhood. We show that equilibrium utility can be reduced to a univariate function that is the population proportion of the group to which one belongs. Then, with the help of a Python-based simulation, we analyze the redistribution dynamics of the groups and clustering patterns. In the final stage, we compute the dissimilarity index to determine the degree of clustering. Findings: Although the dilution policy has been implemented, a relatively high spatial segregation of refugees still exists. The dissimilarity index we compute using the latest data shows that almost half of Syrians need to be displaced for a homogeneous geographical distribution. Research limitations/implications: By obtaining neighborhood-based housing data, it will be possible to conduct a more detailed analysis at the city level. This will improve policymakers' understanding of refugee policy at both local and national levels. Originality/value: It is the first study in which a dissimilarity index is computed for Syrian refugees in Türkiye.