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Title: A PROMETHEE MCDM Application in Social Inclusion: The Case of Foreign-Born Population in the EU
Authors: Blouchoutzi, Anastasia
Manou, Dimitra
Papathanasiou, Jason
Type: Article
Subjects: FRASCATI::Social sciences::Social and economic geography
Keywords: social inclusion
societal threats
migrant integration
multiple criteria decision analysis
Issue Date: 2021
Source: Systems
Volume: 9
Issue: 2
First Page: 45
Abstract: Since the migrant surge in 2015, social inclusion has become a crucial issue to be addressed effectively by the European Union, given that 39% of the population born outside of the EU member states faces the risk of poverty or social exclusion. Adding to that, the COVID-19 pandemic has severely affected migrant households worldwide, rendering migrant integration an urgent matter for national governments. Discrimination, racism, xenophobia, and radicalization are all societal threats emerging in periods of massive migrant flows and need appropriate policy measures to be employed in migrant host countries to tackle them. This paper suggests the integration of a multiple criteria decision analysis method, namely PROMETHEE, for policy making with regard to migrant social exclusion. In light of previous research findings and the recent release of the Migrant Integration Policy Index 2020, the authors argue that the method proposed could help policy makers to evaluate the effectiveness of the implemented policies, spot the discrepancies between policies and policy outcomes, and motivate knowledge sharing among the EU member states. The findings include a ten-year comparative list of the EU member states (2010–2019) driven by social inclusion indicators for the foreign-born (non-EU-born) population. The results are rather sensitive to changes in the data utilized but they provide an overall comparative picture of social inclusion policy effectiveness in the EU during the past decade.
ISSN: 2079-8954
Other Identifiers: 10.3390/systems9020045
Appears in Collections:Department of Business Administration

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