AAU Student Projects - visit Aalborg University's student projects portal
A master's thesis from Aalborg University

The Danish Distribution Model for Refugees: - A study about equity and efficiency in the mechanism of distribution as experienced by Danish municipalities in the Capitol Area

Translated title

Den Danske Fordelingsmodel for Flygtninge: - Et studie omhandlende retfærdighed og effektivitet i mekanismerne omkring fordeling, beskrevet subjektivt fra kommunerne i Hovedstadsregionen.

Author

Term

4. term

Publication year

2016

Submitted on

Pages

64

Abstract

Over de sidste ti år er antallet af flygtninge, der er kommet til Danmark, vokset markant—næsten eksponentielt. Derfor er det vigtigt at forstå, hvordan de fordeles, og hvilken belastning det giver de modtagende kommuner. Specialet beskriver og analyserer den nuværende fordelingsmodel, som Udlændingestyrelsen bruger til at fordele flygtninge mellem danske kommuner. Undersøgelsen bygger på kvalitative data: interviews, observationer og sekundær litteratur. Ved at kombinere disse kilder opnås triangulering (dvs. at resultater krydstjekkes fra flere vinkler). Datagrundlaget er relativt lille, men fordi fordelingsordningen berører alle kommuner, vurderes nogle resultater som generelle tendenser, mens andre ikke bør generaliseres. Teoretisk tager specialet udgangspunkt i burden-sharing (byrdefordeling) og teorier om kollektive goder (public goods), tilpasset den danske kontekst. Med hovedbegreberne retfærdighed (equity) og effektivitet (efficiency) analyseres fordelingsregimet. En central konklusion er, at intentionerne bag fordelingen og kommunernes handlinger ikke altid stemmer overens. De interviewede kommuner handler ud fra en konsekvenslogik (logic of consequences) og ser modtagelsen som et cost/benefit‑anliggende, mens lovgivning og intentioner bygger på en logik om passendehed (logic of appropriateness), hvor man handler ud fra normer og regler. Specialet viser, hvordan denne forskel påvirker retfærdighed og effektivitet i praksis. Som en interviewperson udtrykker det: "Vi er klar over, at vi skal bære vores del af byrden. Men vi gør det under de vilkår, der er givet." Det peger på den overordnede pointe: Systemet tilstræber en næsten idealiseret fordeling, men kommunerne må være pragmatiske i den konkrete modtagelse af flygtninge.

Over the past decade, the number of refugees arriving in Denmark has risen sharply—almost exponentially. This makes it crucial to understand how they are allocated and what burden this places on receiving municipalities. This thesis describes and analyzes the current distribution model used by the Danish Immigration Service to allocate refugees across municipalities. The study uses qualitative data—interviews, observations, and secondary literature—and combines these sources to achieve triangulation (cross‑checking findings from multiple angles). The empirical sample is relatively small, but because the distribution system affects all municipalities, some findings are seen as general tendencies while others should not be generalized. The theoretical frame draws on burden‑sharing and public goods, adapted to the Danish context. Using the core concepts of equity (fairness) and efficiency (how well the system works), the thesis analyzes the distribution regime. A main conclusion is that policy expectations and municipal actions diverge. The municipalities interviewed operate with a logic of consequences and treat reception as a cost/benefit arrangement, while the intention and legislation follow a logic of appropriateness, where actions are guided by norms and rules. By examining areas where this mismatch influences distribution, the thesis discusses the implications for equity and efficiency. As one interviewee put it: "We are aware that we need to shoulder our part of the burden. But we do so under the circumstances that are put upon us." Overall, municipalities receive an almost idealized vision of distribution, but they have to be pragmatic in the practical reception of refugees.

[This abstract was generated with the help of AI]