诊断医疗和人口指标对地区社会经济系统的影响

M. A. Barinov
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引用次数: 0

摘要

文章介绍了监测和评估区域系统社会方面的方法,确定了可能影响地区经济运行效率的卫生系统要素和人口构成要素。中观地区发展的客观特征决定了文章的相关性。对系统运行空间特征的分析是在中央联邦区的材料基础上进行的。研究的目的是利用回归分析和由此得出的指标--地区生产总值(以下简称 GRP)--来评估地区起源的特征,这使我们能够更可靠地描述中观地区的转变。在聚类分析的基础上,根据医疗质量和人口特征对研究对象进行分组,并进一步划分为旗舰地区、追赶地区和落后地区。为了证实各地区隶属于特定组群的可靠性,对平均值进行了统计分析,同时考虑到医疗和人口发展水平的鉴定。通过构建散点图,得出了一些因素标准对地区空间影响的结论。散点图显示了所选置信区间的隶属关系,以及结果值和因素值之间平面上集合元素的分布,描述了 GRP 对医疗和人口指标的依赖性。这些计量经济学和分析模型可供地区政府在战略规划过程中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostics of the influence of medical and demographic indicators on regional socio-economic systems
The article presents approaches to monitoring and assessing social aspects of regional systems with identification of elements of the health system and demographic components that potentially affect the economic efficiency of functioning of territories. The relevance of the article is determined by objective features of the development of mesoterritories. The analysis of spatial features of the systems’ functioning was conducted on the materials of the Central Federal District. The purpose of the study is to assess the features of the regional genesis using regression analysis and the resulting indicator – gross regional product (hereinafter referred to as GRP), which allows us to give a more reliable characterisation of the mesoterritorial transformation. The subjects were grouped according to the quality of medical and demographic characteristics on the basis of the cluster analysis with further allocation of flagship, catching-up and lagging regions. To substantiate the reliability of the territories’ affiliation to a specific cluster group, a statistical analysis was performed on average values with consideration to identification of the level of medical and demographic development. The conclusion is made about the influence of some factor criteria on the regional space with the construction of a scatter plot. It displays the affiliation to the selected confidence interval and distribution of the elements of the set in the plane between the resulting and factor values, describing the dependence of the GRP on the medical and demographic indicator. These econometric and analytical models can be used by regional governments in the process of strategic planning.
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