In the last decade, Italy has been a country characterised by the arrival of significant migratory flows for humanitarian reasons. For many years, since the refugee crisis in the Mediterranean in 2015, the presence of asylum seekers and refugees in our country has been considered as transitory but today it is evident that this group of migrants has begun to stabilise in Italy through integration processes. It is therefore relevant to focus on the integration paths of refugees and asylum seekers, who present different characteristics from other migrants. The main objective of this work is to identify the profile and main demographic characteristics of regular asylum seekers who stabilise in Italy because they are present in the territory six years after the issue of their residence permit. The study is based on data from residence permits and a longitudinal cohort approach was used applying record linkage techniques. Finally, a logistic model was applied to the data.

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The Integration Paths of Refugees and Asylum Seekers in Italy

  • Camilla Pangallo,
  • Cinzia Conti,
  • Fabio Massimo Rottino,
  • Oliviero Casacchia

摘要

In the last decade, Italy has been a country characterised by the arrival of significant migratory flows for humanitarian reasons. For many years, since the refugee crisis in the Mediterranean in 2015, the presence of asylum seekers and refugees in our country has been considered as transitory but today it is evident that this group of migrants has begun to stabilise in Italy through integration processes. It is therefore relevant to focus on the integration paths of refugees and asylum seekers, who present different characteristics from other migrants. The main objective of this work is to identify the profile and main demographic characteristics of regular asylum seekers who stabilise in Italy because they are present in the territory six years after the issue of their residence permit. The study is based on data from residence permits and a longitudinal cohort approach was used applying record linkage techniques. Finally, a logistic model was applied to the data.