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首页> 外文会议>European Conference on Modelling and Simulation >THE USE OF CLUSTER ANALYSIS TO ASSESS THE DEMOGRAPHIC POTENTIAL OF RUSSIAN REGIONS
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THE USE OF CLUSTER ANALYSIS TO ASSESS THE DEMOGRAPHIC POTENTIAL OF RUSSIAN REGIONS

机译：聚类分析的使用来评估俄罗斯地区的人口潜力

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In recent years, Russia has been grappling with a serious economic crisis. The slowing pace of economic development is accompanied by adverse demographic trends. The purpose of our study is to assess the demographic potential of Russian regions and identifying groups that require the implementation of specific measures aimed at its development. We used hierarchical cluster analysis to model Russia's demographic space and segment regions with comparable problems related to forming demographic potential. Clustering was based on the indicators describing the demographic potential at the macro-level (regional) and meso-level (family level). The analysis identified the groups of regions that have the best and the worst conditions for the development of demographic potential. We proposed a set of measures that would be most relevant to the needs of specific groups of regions and could directly drive the development and actualisation of demographic potential. The analysis showed the need to use multi-factor classification in the demographics of countries that have a high level of regional differentiation. Modelling the demographic space on the basis of cluster analysis can be seen as an element of the system of supporting administrative decision-making and the development of effective demographic policy.
机译：近年来，俄罗斯一直在努力，严重经济危机。经济发展速度放缓伴随着不利的人口趋势。我们研究的目的是评估俄罗斯地区的人口潜力，并确定需要实施旨在实施其发展的具体措施的群体。我们使用了分层集群分析来模拟俄罗斯的人口空间和分段区域，其与形成人口统计潜力有关的可比问题。聚类基于描述宏观（区域）和中学级别（家庭级别）的人口潜力的指标。该分析确定了具有最佳和最糟糕的条件的地区，以发展人口潜力。我们提出了一系列与特定区域群体需求最相关的措施，可以直接推动人口潜力的发展和实现。分析表明，需要在具有高水平区域分化的国家的人口统计数据中使用多因素分类。在集群分析的基础上建模人口空间可以被视为支持行政决策和有效人口政策的发展的系统。

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