Avoiding or Accepting the Unknown: Asylum in the European Union

Michaela Grinaj
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Abstract

Many scholars have already dedicated their attention to the perceived migration crisis in Europe and related phenomena. The objective of the present paper is to examine tendencies of selected European national cultures to accept diversity and people with a migration background. The research hypothesis posits that countries with low Uncertainty Avoidance Index are more likely to accept migrants and refugees in their territory; while, on the contrary, countries that have relatively higher Uncertainty Avoidance Index tend to be more sceptical in regard to accepting migrants and refugees. In the study a variety of qualitative and mixed research methods (such as qualitative desk research, comparative analysis, and cluster analysis) are used. Firstly, applying the Uncertainty Avoidance Dimension by Hofstede, the European Union Member States are separated into four clusters according to their ranking within the Uncertainty Avoidance Index. Next, utilising data collected within the project MAGYC, the EU Member States are ranked according to the number of asylum centres, detention centres or similar facilities per capita. Finally, the countries with the highest Uncertainty Avoidance Index and the lowest number of asylum centres per capita are compared providing a comparison of the countries with the lowest Index and the highest number of asylum facilities per capita. The constructed simplified model allows for answering the question whether certain relation between inclination to avoid the unknown and the willingness of national cultures to accept migrants and refugees exists, concluding that the hypothesis is valid only in the case of several countries.
避免或接受未知:欧洲联盟的庇护
许多学者已经开始关注欧洲的移民危机及相关现象。本文旨在研究选定的欧洲国家文化接受多样性和有移民背景的人的倾向。研究假设认为,不确定性规避指数(Uncertainty Avoidance Index)较低的国家更有可能接受其境内的移民和难民;相反,不确定性规避指数(Uncertainty Avoidance Index)相对较高的国家则倾向于对接受移民和难民持怀疑态度。本研究采用了多种定性和混合研究方法(如定性案头研究、比较分析和聚类分析)。首先,运用霍夫斯泰德(Hofstede)的 "不确定性规避维度",根据欧盟成员国在 "不确定性规避指数 "中的排名,将其分为四个群组。接下来,利用在 MAGYC 项目中收集的数据,根据人均庇护中心、拘留中心或类似设施的数量对欧盟成员国进行排名。最后,将 "避免不确定性指数 "最高的国家与 "人均庇护中心数量 "最低的国家进行比较,从而得出 "避免不确定性指数 "最低的国家与 "人均庇护设施数量 "最高的国家的比较结果。通过所构建的简化模型,可以回答避免未知的倾向与国家文化接受移民和难民的意愿之间是否存在某种关系的问题,并得出结论认为,这一假设仅在几个国家中有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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