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A DEA MCDM Approach Applied to ESS8 Dataset for Measuring Immigration and Refugees Citizens’ Openness
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AbstractThe current refugees’ crisis is undermining the main government coalitions of many countries in the European Union (EU), and tolerant attitudes and open admission policies toward immigrants seem to be part of the recent past history. The dilemma is gaining a lot of media attention as the public and political debate on migration is now playing an important role in all the European elections. Thus, the aim of this paper twofold. First, an analytical tool is developed to measure two synthetic indicators: (1) the citizens’ openness towards immigration for 23 countries—18 EU Countries, plus Iceland, Israel, Norway, Switzerland, and Russia—included in the 2016 European Social Survey; and (2) the citizens’ openness towards immigrants and refugees for 22 countries (same set without Hungary). And second, the effects of political orientation of citizens over the last synthetic indicator (immigrants and refugees) are studied. The approach of Data Envelopment Analysis (DEA) will be adopted here, with the purpose of identifying which countries are more, or less, open to the phenomenon of immigration and refugees. The results show that the Nordic countries and leftist are those which show more openness to immigration and refugees.
Springer Science and Business Media LLC
Title: A DEA MCDM Approach Applied to ESS8 Dataset for Measuring Immigration and Refugees Citizens’ Openness
Description:
AbstractThe current refugees’ crisis is undermining the main government coalitions of many countries in the European Union (EU), and tolerant attitudes and open admission policies toward immigrants seem to be part of the recent past history.
The dilemma is gaining a lot of media attention as the public and political debate on migration is now playing an important role in all the European elections.
Thus, the aim of this paper twofold.
First, an analytical tool is developed to measure two synthetic indicators: (1) the citizens’ openness towards immigration for 23 countries—18 EU Countries, plus Iceland, Israel, Norway, Switzerland, and Russia—included in the 2016 European Social Survey; and (2) the citizens’ openness towards immigrants and refugees for 22 countries (same set without Hungary).
And second, the effects of political orientation of citizens over the last synthetic indicator (immigrants and refugees) are studied.
The approach of Data Envelopment Analysis (DEA) will be adopted here, with the purpose of identifying which countries are more, or less, open to the phenomenon of immigration and refugees.
The results show that the Nordic countries and leftist are those which show more openness to immigration and refugees.
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