Mathematical Modeling and Methodology for Assessing the Pace of Socio-Economic Development of the Russian Federation

被引：2
|
作者：
Orlov, Victor [1 ]
Ivanova, Tatyana [2 ]
Ladykova, Tatyana [2 ]
Sokolova, Galina [2 ]
机构：
[1] Moscow State Univ Civil Engn, Inst Digital Technol & Modeling Construct, Yaroslavskoye Shosse 26, Moscow 129337, Russia
[2] Chuvash State Univ, Fac Econ, Moskovsky Prospect 15, Cheboksary 428015, Russia
来源：
MATHEMATICS | 2022年 / 10卷 / 11期
关键词：
mathematical modeling; forecasting; socio-economic development; assessment methodology; integral indicator; CLUSTER POLICY;
D O I：
10.3390/math10111869
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The article develops the author's methodology for assessing the rates of socio-economic development and their forecasting in the Russian Federation, which makes it possible to consider factors with heterogeneous metrics. For this, an index analysis of thirty-two indicators divided into seven macro-regional blocks (income, labor, business, ecology, society, prospects, finance) was carried out, integral indicators were calculated that characterize their changes and the pace of socio-economic development of the Russian Federation was determined. Further, using the means of mathematical modeling, a multifactorial mathematical model was built and tested in real-time, which makes it possible to obtain a high-quality predicted result. Based on the forecasts obtained, it can be stated that it is necessary to adjust certain indicators that actively influence the pace of development, which is a mathematical justification for making managerial decisions when developing strategies and programs related to socio-economic progress in the Russian Federation.
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页数：20
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