Analysis of interregional migration flows in Russia in the context of certain types of migration

IF 0.3 Q4 ECONOMICS

Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association Pub Date : 2021-01-01 DOI:10.31737/2221-2264-2021-50-2-2

E. Ostrovskaya, D. Mamontov, K. A. Spiridonov, I. V. Levyy

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引用次数: 0

Abstract

The impact of interregional migration on regional economic and social sphere necessitates the determination of migration factors. An analysis of existing studies has shown that gravity models can be considered the most effective tool for migration flows analysis. At the same time existing studies show a weak elaboration of approaches that involve the separation of migration into different types depending on the goal of the relocation. The purpose of the article is to analyze the interregional migration flows in the context of types of migration identifying a set of factors that determine a particular type of migration. The main result obtained by the authors is the determination of three regional clusters that attract a certain type of migrants. Clustering was carried out using a set of indicators with a model-oriented clustering methods. The main conclusions made in the article are related to improving the quality of models when dividing regions into clusters and including different variables for certain types of migration. However, the authors note that the input data for the analysis is somewhat noisy, since it contains migrants of all ages. Therefore, the obtained regional groupings by type of migration are only the first approximation of differentiation by type of arriving or departing citizens. The results of the study can be used for further work on the definition of the determinants of interregional migration, as well as for studies on the impact of migration on regional labor markets and socioeconomic situation of regions.

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在某些类型的移民背景下对俄罗斯区域间移民流动的分析

区域间移徙对区域经济和社会领域的影响需要确定移徙因素。对现有研究的分析表明，重力模型可以被认为是分析迁移流动的最有效工具。与此同时，现有的研究表明，对根据迁移目标将移徙划分为不同类型的方法的阐述不够充分。本文的目的是在移民类型的背景下分析区域间移民流动，确定一组决定特定类型移民的因素。作者获得的主要结果是确定了三个吸引某类移民的区域集群。采用一组指标，采用面向模型的聚类方法进行聚类。本文得出的主要结论是，在将区域划分为集群并对某些类型的迁移包含不同变量时，如何提高模型的质量。然而，作者指出，分析的输入数据有些嘈杂，因为它包含了所有年龄段的移民。因此，所获得的按移徙类型划分的区域分组只是按抵达或离开公民类型划分的初步近似。这项研究的结果可用于进一步确定区域间移徙的决定因素的工作，以及用于研究移徙对区域劳动力市场和区域社会经济状况的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association ECONOMICS-

CiteScore

1.00

自引率

20.00%

发文量

期刊介绍： Key Journal''s objectives: bring together economists of different schools of thought across the Russian Federation; strengthen ties between Academy institutes, educational establishments and economic research centers; improve the quality of Russian economic research and education; integrate economic science and education; speed up the integration of Russian economic science in the global mainstream of economic research. The Journal publishes both theoretical and empirical articles, devoted to all aspects of economic science, which are of interest for wide range of specialists. It welcomes high-quality interdisciplinary projects and economic studies employing methodologies from other sciences such as physics, psychology, political science, etc. Special attention is paid to analyses of processes occurring in the Russian economy. Decisions about publishing of articles are based on a double-blind review process. Exceptions are short notes in the section "Hot Topic", which is usually formed by special invitations and after considerations of the Editorial Board. The only criterion to publish is the quality of the work (original approach, significance and substance of findings, clear presentation style). No decision to publish or reject an article will be influenced by the author belonging to whatever public movement or putting forward ideas advocated by whatever political movement. The Journal comes out four times a year, each issue consisting of 12 to 15 press sheets. Now it is published only in Russian. The English translations of the Journal issues are posted on the Journal website as open access resources.