scholarly journals Mathematical modeling of a cyclical trend in the investment and construction sphere of the Russian Federation under innovative transformations

2017 ◽  
Vol 16 (11) ◽  
pp. 2177-2188
Author(s):  
I.N. Geras'kina ◽  
◽  
A.Yu. Kudryavtsev ◽  
Keyword(s):  
Mathematical Modeling ◽  
Russian Federation ◽  
The Russian Federation ◽  
Cyclical Trend

scholarly journals ROUND TABLE Tick-born deseases in animals and human in the Russian Federation and its control in modern conditions

2018 ◽  
Vol 2018 (5) ◽  
pp. 42-44
Author(s):  
Владислав Белименко ◽  
Vladislav Belimenko
Keyword(s):  
Mathematical Modeling ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Russian Federation ◽  
Round Table ◽  
Geographic Information ◽  
Control Methods ◽  
Social Significance ◽  
Protected Natural Areas ◽  
The Russian Federation

The meeting highlighted the issues of biological danger and social significance of ixodic ticks and tick-borne diseases in the Russian Federation, the current epidemiological and epizootological situation, the use of geographic information systems, satin mapping and mathematical modeling in the system for monitoring these diseases, as well as control methods of tick-borne infections and invasions, especially in protected natural areas.

Economic and Mathematical Modeling of Russia’s Economic Security in the Period Under Sanctions

2020 ◽  
Vol 152 ◽  
pp. 32-39
Author(s):  
Galina I. Smirnova ◽  
◽  
Maria E. Listopad ◽  
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Regression Analysis ◽  
Russian Federation ◽  
Statistical Significance ◽  
Economic Security ◽  
Regression Equation ◽  
Correlation And Regression Analysis ◽  
Time Period ◽  
The Russian Federation

For the study, the time period of introducing economic sanctions against the Russian Federation was selected. In consideration are taken the data of Rosstat in terms of finding the values of indicators of our state’s economic security (2013–2017). A correlation and regression analysis of this system, consisting of 15 indicators, was carried out. An economic-mathematical model of the sanctions impact on the economic security of Russia was compiled. To solve this problem, the authors used a correlation-regression analysis, the regression equation was found and statistical significance of the constructed model was substantiated. The findings were recommended to specialists in the sphere of improving the state’s economic security.

scholarly journals Formation a Мathematical Modeling of Unemployment Rate in Russian Federation

2021 ◽  
Vol 3 (4) ◽  
pp. 243-249
Author(s):  
Natalya Antipina ◽  
Marina Seliverstova
Keyword(s):  
Mathematical Modeling ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Regression ◽  
Russian Federation ◽  
Unemployment Rate ◽  
Linear Regression Model ◽  
Regression Method ◽  
Multiple Regression Method ◽  
The Russian Federation

The research analyzed the unemployment rate in the Russian Fe­deration using economic and mathematical modeling. The оbject of the research is the dynamics of the unemployment rate in the Russian Federation in the period from 2005 to 2020, depending on some factors that make an impact on the factor under consideration. As a result of this investigation, carried out using the multiple regression method, a linear regression model was obtained, which can be employed for further analysis and forecasting of the unemployment rate in Russia.

scholarly journals ASSESSING THE EFFECTIVNESS OF GOVERNMENT PROGRAMS

2021 ◽  
pp. 76-86
Author(s):  
E. A. Fedchenko ◽  
A. O. Buryakova
Keyword(s):  
Mathematical Modeling ◽  
Russian Federation ◽  
Assessment Criteria ◽  
Qualitative Assessment ◽  
Government Programs ◽  
Modeling Methods ◽  
The Russian Federation ◽  
State Programs ◽  
Weighting Coefficients

The article presents the results of the analysis of the approved by law methodology for assessing the effectiveness of the implementation of state programs of the Russian Federation. The paper ascertains that the methodology has a number of shortcomings in terms of calculating individual indicators, does not take into account the industry specifics of measures. In order to eliminate the shortcomings of the current methodological base, the authors proposed an adjusted methodology for assessing efficiency, which involves the use of mathematical modeling methods, qualitative assessment criteria, modified coefficients. At the same time, the weighting coefficients of the main criteria of the method were revised – the study proposes to use the method of Saati hierarchies. The developed proposals are aimed at improving the accuracy and reliability of the results of assessing the effectiveness of government programs.

scholarly journals ACTUAL PROBLEMS IN ASSESSMENT OF THE REGIONS' INVESTMENT POTENTIAL

2020 ◽  
Vol 30 (3) ◽  
pp. 354-361
Author(s):  
A.S. Rezepin ◽  
M.A. Mikhailov
Keyword(s):  
Mathematical Modeling ◽  
Russian Federation ◽  
Labor Migration ◽  
Objective Assessment ◽  
Management Tool ◽  
Individual Factors ◽  
Russian Regions ◽  
Investment Opportunities ◽  
The Russian Federation ◽  
The Impact

The analysis of existing methods for assessing the investment potential of Russian regions has shown that there are a number of problems with an objective assessment of the investment development of regions. The using of the regions’ investment potential assessing methods without taking into account the factors of municipalities’ investment development raises doubts about the results’ objectivity. In this work the authors set a goal to assess the influence of individual factors on the Russian regions’ investment potential by calculating the index of municipal districts’ investment opportunities, which allows to identify problems with investment development of the region. The research is based on economic-mathematical modeling by the Russian subjects’ official statistics information with the Cherepovets municipal district of the Vologda region as example. The research allowed us to determine the impact of investment processes in municipal areas on the Russian region’s investment potential. In particular, to determine that the process of investment development in municipal areas depends on several fundamental factors: in most areas there is intraregional labor migration, which affects the objectivity of the municipal areas labor potential’s assessment. Thus, the proposed method of evaluating the investment opportunities index of municipal districts is an effective tool for analyzing the development of Russian regions’ investment potential, it can be used as a management tool, and also allows us to identify problem areas in the investment processes of region. The results of the research can be used in analyzing and monitoring the Russian Federation subject’s investment potential, determining the needs for further investment development of individual municipal districts of the region.

scholarly journals Mathematical modeling of natural population emission in the problem of forecasting the regional staff needs

2021 ◽  
Vol 16 (3) ◽  
pp. 83-90
Author(s):  
Vitaliy M. Tatyankin ◽  
Sergey N. Shergin
Keyword(s):  
Mathematical Modeling ◽  
Russian Federation ◽  
Supply And Demand ◽  
Federal State ◽  
Population Census ◽  
Demand Model ◽  
Education Levels ◽  
The Russian Federation ◽  
Employment Rates ◽  
Personnel Needs

The article presents the results of a study to determine the employment rates of men and women in the context of educational levels for the constituent entities of the Russian Federation and the possibility of their further application for modeling the natural dropout of the population in the task of predicting the personnel needs of the region. The error of forecasting the size of the employed population was calculated using the employment rates for the regions of the Russian Federation and levels of education. The key feature of the presented approach is that there is no need to calculate the natural decline of the population. As a research method, mathematical modeling was used, based on the supply and demand model of the labor market in the region. The database for the study was made up of materials from the Federal State Statistics Service based on the results of the population census of the Russian Federation in 2002 and 2010 The time period is due to the availability of reliable data. According to the results of the study, from 82 regions in 75 regions, the average accumulated error in terms of education levels over 8 years in determining the number of employed does not exceed 10%.

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