俄罗斯区域吸引力作为区域间移民因素的评估与预测

R. Fattakhov, M. Nizamutdinov, A.  R.  Atnabaev, M. Akhmetzyanova
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引用次数: 0

摘要

如今,在确保国家可持续的社会经济和人口发展的框架内,国家最重要的任务之一是调节移民过程。在复杂的政治局势中观察到的变化,包括制裁和大流行病的影响,影响到人们在选择潜在居住地时优先事项的转变。在这方面,重要和及时的是查明人口移徙的趋势和因素,以及利用现代经济和数学分析方法评估移徙活动的水平。这些问题与那些有人口移徙流出的地区最为相关。为了确定在决定改变居住地时影响人类行为的因素,对俄罗斯67名受试者的22项社会经济发展指标进行了成分分析。这一过程确定了五个主要组成部分。所得结果构成了评估各地区吸引力水平和进一步对各区域进行聚类分析的基础。这导致形成了四个集群,其中包括具有类似社会经济发展水平的俄罗斯联邦主体。综合多因素评价的结果,可以确定每个区域社会经济发展的复杂程度。在研究的下一阶段,使用回归分析的方法确定了各区域社会经济发展与移徙水平之间的关系。得到的模拟结果使作者对移民过程进行了动态预测,同时考虑了社会经济形势发展的惯性和乐观情景的实施。
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Assessment and forecasting of the russian regions attractiveness as a factor of Interregional migration
Nowadays, one of the most important tasks of the state in the framework of ensuring sustainable socio-economic and demographic development of the country is the regulation of migration processes. The changes observed in a complex political situation, including the impact of sanctions and pandemics, have affected on the priorities transformation of the population when choosing a potential place of residence. In this regard, it is important and timely to identify trends and factors of population migration, as well as to assess the level of migration activity using modern economic and mathematical methods of analysis. These issues are most relevant for those regions where there is a migration outflow of the population. In order to identify the factors influencing a human behavior when making a decision to change their place of residence, a component analysis was conducted on 22 indicators of socio-economic development of 67 subjects of Russia. This process identifed fve main components. The obtained results formed the basis for assessing the level of attractiveness of the territories and further cluster analysis of the regions. This caused to the formation of four clusters, including the subjects of the Russian Federation with a similar level of socio-economic development. Combining the results of the multi-factor assessment made it possible to determine the complex level of socio-economic development for each region. At the next stage of the study, the identified relationships between the socio-economic development of the regions and the migration level were formalized using the methods of regression analysis. The obtained simulation results let the authors develop a forecast of the migration processes dynamics, taking into account the implementation of the inertial and optimistic scenarios for the development of the socioeconomic situation.
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Periodica Polytechnica, Social and Management Sciences
Periodica Polytechnica, Social and Management Sciences Social Sciences-Social Sciences (all)
CiteScore
1.50
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0.00%
发文量
26
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