摩尔多瓦共和国的教育移民

IF 0.4 Q3 AREA STUDIES
A. V. Dozhdikov
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引用次数: 2

摘要

介绍这篇文章专门讨论了青年教育迁移的实际问题——这是影响该地区人才潜力的一个关键因素。这篇文章的目的是确定莫尔多瓦共和国青年教育移民的具体情况,与其他地区相比,确定新出现的移民类型,并为区域发展的需求制定建议。材料和方法。文章的实证基础是2017-2021年在年龄(17-27岁)背景下的地区间移民人口统计数据、基于国家统一考试结果的“教育数据”数据库和申请人的大学录取。使用了通用的统计方法和方法,对数据透视表和图表进行了数据处理和可视化,使用了Python语言的应用软件和库(numpy、pandas、matplotlib)。这些工具可以确定与该地区有关的移民指标,对其进行分析,并可视化教育移民的参数。后果据证实,直到最近,莫尔多瓦共和国还是教育青年移民的捐助地区。然而,自2018-2020年以来,出现了向“过境”地区过渡的趋势:20-22岁及以上人群的移民平衡为负,但17-19岁人群的移民均衡为正。教育迁移的方向和比例已经确定,涉及整个毕业生队伍和某些类别。提出了一些假设和假设,以供随后对俄罗斯联邦申请人的整个普通人群(“大数据”)进行验证。讨论和结论。“后新冠肺炎”现实的客观条件和教育移民方面的外部限制可以显著增加地区的作用。实现一种“平衡”状态,对外出移民进行补偿,保护和更新人力资本似乎是可能的。按地区分列的教育移民数据、分析原则和结论将对数据科学、移民过程、教育社会学领域的研究人员以及教育和社会当局调整预测和区域发展项目都很有用。可以对俄罗斯联邦其他地区进行类似的研究,与莫尔多瓦共和国确定的趋势和模式进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Educational Migration in the Republic of Mordovia
Introduction. The article is devoted to the actual problem of youth educational migration – a key factor influencing the personnel potential of the region. The purpose of the article is to identify the specifics of youth educational migration from the Republic of Mordovia, to determine the emerging type of migration in comparison with other regions, and to formulate proposals for the needs of regional development. Materials and Methods. The empirical basis of the article is demographic data on interregional migration for 2017–2021 in the context of ages (17–27 years old), databases of “educational data” based on the results of the Unified State Examination and admission to universities of applicants. General statistical methods and approaches were used, data processing and visualization in the pivot tables and charts was carried out, application software and libraries of the Python language (numpy, pandas, matplotlib) were used. The tools made it possible to identify migration indicators in relation to the region, analyze them, and visualize the parameters of educational migration. Results. It has been established that until recently the Republic of Mordovia was a donor region for educational youth migration. However, since 2018–2020, there has been a trend towards the transition to the position of a “transit” region: the balance of migration of 20–22 year olds and older is negative, but the balance of migration of 17–19 year olds is positive. The directions and proportions of educational migration have been established in relation to the entire contingent of graduates and certain categories. A number of assumptions and hypotheses are put forward for subsequent verification on the entire general population (“big data”) of applicants in the Russian Federation. Discussion and Conclusion. The objective conditions of the “post-COVID” reality and external restrictions in terms of educational migration can significantly increase the role of regions. Achieving a “balance” state with compensation for outgoing migration, the preservation and renewal of human capital seems possible. The data on educational migration by region, principles of analysis and conclusions will be useful both for researchers in the field of data science, migration processes, the sociology of education, and for educational and social authorities to adjust forecasts and regional development projects. A similar study can be carried out for other regions of the Russian Federation in comparison with the trends and patterns identified in the Republic of Mordovia.
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33.30%
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37
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