弹性、模糊治理和乌克兰难民危机:来自捷克共和国非政府组织领导人的观点

IF 0.5 Q4 ECONOMICS
T. Bryan, Monica Lea, Vladimír Hyánek
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引用次数: 1

摘要

2022年2月下旬,俄罗斯入侵乌克兰,引发了二战以来规模最大的人道主义难民危机。难民涌入其他欧洲国家的规模和速度需要大量资源来应对这种涌入。本研究探讨了那些在非政府组织工作的人对他们的组织在捷克共和国应对乌克兰难民危机的弹性的看法。根据2022年2月至6月捷克共和国难民响应开始时收集的访谈数据,我们的研究结果表明,非政府组织面临能力和治理挑战,这些系统层面的障碍抑制了非政府组织的复原力和长期有效应对乌克兰难民危机的能力。这些持久的影响影响了非政府组织在面对前所未有的乌克兰危机时的复原力。尽管存在这些障碍,在危机发生的头几个月里,非政府组织在向乌克兰难民提供人道主义援助方面表现出灵活性和敏捷性。本研究的结果表明,非政府组织在缺乏弹性所需的适应性和协调的政策和治理体系中参与组织弹性战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resilience, Ambiguous Governance, and the Ukrainian Refugee Crisis: Perspectives from NGO Leaders in the Czech Republic
Abstract The Russian invasion of Ukraine in late February of 2022 caused a humanitarian refugee crisis on a scale unseen since World War II. The scale and speed at which refugees surged into other European countries required significant resources to respond to this influx. This study explores the perspectives of those working in NGOs about the resilience of their organisations in responding to the Ukrainian refugee crisis in the Czech Republic. Drawing on interview data collected at the beginning of the refugee response in the Czech Republic between February and June of 2022, our findings suggest that NGOs face capacity and governance challenges, and these system-level barriers inhibit NGO resilience and their ability to respond effectively to the Ukrainian refugee crisis in the long term. These lasting effects influence NGO resilience in the face of the unprecedented Ukrainian crisis. Despite these barriers, NGOs acted with flexibility and agility in delivering humanitarian assistance to Ukrainian refugees in the first few months of the crisis. The findings from this study indicate NGOs engage in organisational resilience strategies within a policy and governance system that lacks the adaptability and coordination needed to be resilient.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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