经济一体化与移民网络:华沙地区乌克兰移民的案例

IF 0.5 Q4 ECONOMICS
W. Maruszewski, P. Kaczmarczyk
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引用次数: 2

摘要

在过去的几年里,波兰不仅是一个(大规模)移民的国家,而且是一个外国人开始在国内劳动力市场上发挥比以往任何时候都大得多作用的国家。这使得外国人融入的分析对于了解波兰移民的情况及其对国民经济和社会进程的影响越来越重要。在这种背景下,本文旨在量化移民经济一体化的一个方面。我们把收入水平作为他们整合过程的指标之一。此外,我们还提到了社会资本(以移民网络的形式)对移民经济状况的影响。我们关注的是来自乌克兰的移民——波兰人数最多的外国人群体。基于独特的数据集,我们实证地确定了影响其收入的关键维度,包括性别、就业部门和法律地位。我们还指出了移民网络对移民收入的统计显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic Integration and Migrant Networks: The Case of Ukrainian Migrants in the Warsaw Agglomeration
Abstract In the past years, Poland has been not only a country of (mass) immigration but also a country where foreigners have begun to play a much larger role in the domestic labour market than ever before. This makes the analyses of foreigners’ integration increasingly important both to understand the situation of immigrants in Poland and their impact on the national economy and social processes. In this context, this article aims to quantify one of the dimensions of the economic integration of immigrants. We look at the level of earnings as one of the indicators of their integration process. Additionally, we refer to the impact of social capital (in the form of migrant networks) on the economic situation of immigrants. We focus on immigrants from Ukraine—the most numerous group of foreigners in Poland. Based on a unique data set, we empirically identify the key dimensions that have an impact on their incomes, including gender, employment sector and legal status. We also point to the statistically significant effects of migrant networks on migrants’ earnings.
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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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