Turks in Europe: Migration Flows, Migrant Stocks and Demographic Structure

Faßmann, Heinz; İçduygu, Ahmet

doi:10.1017/s1062798713000318

Cited by 19 publications

(8 citation statements)

References 5 publications

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“…Migration from Turkey to Germany dates to 1961 with the guest worker agreement, through which mainly male manpower was targeted (Bilecen, 2016a;Fassmann and İçduygu, 2013;Martin, 1991). Hence, their wives followed them in the later years (Baykara-Krumme & Fuß, 2009).…”

Section: Introductionmentioning

confidence: 99%

‘Altın Günü’: migrant women’s social protection networks

Bilecen

2019

CMS

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Although there is an increasing interest in the role of personal networks in migrants' social protection, they are usually either treated as 'given' or the 'second-best' option for protection against social risks such as poverty. Altın Günü (The Day of Gold) is a specific form of Turkish women's networks functioning as a type of rotating savings and credit association promoting both savings and make financial capital available to its members with trustworthy relationships. It is exclusive to women with rather selective membership based on ethnicity, class, marital and migrant status. Although it is common practice in Turkey, it is widely neglected as a specific form of social protection once it is practiced after migration. Migrant women were already familiar with the concept and practice of Altın Günü and they have adapted to Germany shaped by their needs, obligations, and location. Drawing on qualitative interviews and participant observation among Turkish immigrant women in Germany, this article offers an in-depth analysis of such personal protective networks. In so doing, this article not only addresses the ways in which informal lending circles of migrant women are formed and utilized, but also highlights the processes of hierarchization of membership and redistribution of valuable resources within and across borders.

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Section: Introductionmentioning

confidence: 99%

‘Altın Günü’: migrant women’s social protection networks

Bilecen

2019

CMS

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“…migration flows) contained in a dataset rapidly exceeds a size that can be analysed and visualised using standard visualisation tools, including line and bar charts, scatterplots, cartograms and choropleth maps. Distributive flow maps, for example, display migration as flow trees that are drawn on a geographic map (see, for example, Fassmann & İçduygu, 2013;Verbeek et al , 2011). The trunk of the flow tree denotes the origin of migrants and splits into as many smaller branches as there are destinations.…”

Section: Existing Techniques For Visualising Migration Flowsmentioning

confidence: 99%

Visualising Migration Flow Data with Circular Plots

Sander¹,

Abel²,

Bauer³

et al. 2021

VID

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Effective visualisations of migration flows can substantially enhance our understanding of underlying patterns and trends. However, commonly used migration maps that show place-to-place flows as stroked lines drawn atop a geographic map fall short of conveying the complexities of human movement in a clear and compelling manner.We introduce circular migration plots, a new method for visualising and exploring migration flow tables in an intuitively graspable way. Our approach aims to provide detailed quantitative information on the intensities and patterns of migration flows around the globe by using a visualization design that is effective and visually appealing.The key elements of the design are (a) the arrangement of origins and destinations of migration flows in a circular layout, (b) the scaling of individual flows to allow the entire system to be shown simultaneously, (c) the expression of the volume of movement through the width of the flow and its direction through the colour of the origin.Drawing on new estimates of 5-year bilateral migration flows between 196 countries, we demonstrate how to create circular migration plots at regional and country levels using three alternative software packages: Circos, R, and the JavaScript library d3.js.Circular migration plots considerably improve our ability to graphically evaluate complex patterns and trends in migration flow data, and for communicating migration research to scientists in other disciplines and to the general public. Our visualisation method is applicable to other kinds of flow data, including trade and remittances flows.

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“…Turkish immigration to Europe began after World War II, but migration to Western Europe started on a significant scale only after an official agreement was negotiated with the Federal Republic of Germany in 1961 (Abadan‐Unat, ; Fassmann and İçduygu, ). A social security agreement was signed with Denmark in 1970 (Abadan‐Unat, ).…”

Section: Background: Turkish Immigrants In Two European Welfare Statesmentioning

confidence: 99%

“…Meanwhile, the fall of the Iron Curtain was accompanied by opening a large reservoir of qualified but unemployed or underemployed workers from Poland, Romania, Hungary and other former communist countries, who became the first choice for recruitment in Western Europe. Today, the inflow of Turkish citizens is decreasing, net migration is nearly zero or negative, and the stock of the Turkish immigrant community is declining (Fassmann and İçduygu, ). People with Turkish origin or background are, however, still the biggest non‐EU group in both Germany and Denmark.…”

Section: Background: Turkish Immigrants In Two European Welfare Statesmentioning

confidence: 99%

Does Poverty Among Immigrants Adapt to Country of Residence? Turks in Germany and Denmark

Caner

Pedersen

2018

International Migration

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We use data on Turkish immigrants in two European welfare states, Denmark and Germany, and data on Turks at home. Unlike in most studies of immigrant poverty, we thus control for the differences in immigrant composition. Denmark and Germany have different welfare state types, labour market structure and institutions. We find that in both countries Turkish immigrants have much higher poverty rates than natives. We perform Fairlie decompositions to find that in Denmark, compared to Germany, a larger part of the native‐immigrant poverty difference is explained by market valuation of characteristics and by unobservables. Finally, we decompose poverty by subgroups and find that certain immigrant subgroups (such as families with children and the elderly) are especially vulnerable in both countries and that not much has changed in the two countries between 2008 and 2013 in terms of the vulnerability of these sub‐groups to poverty risk.

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Turks in Europe: Migration Flows, Migrant Stocks and Demographic Structure

Cited by 19 publications

References 5 publications

‘Altın Günü’: migrant women’s social protection networks

‘Altın Günü’: migrant women’s social protection networks

Visualising Migration Flow Data with Circular Plots

Does Poverty Among Immigrants Adapt to Country of Residence? Turks in Germany and Denmark

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