scholarly journals Statistical relationships between indicators of favourable living environments in biosphere compatible cities

Vestnik MGSU ◽  
2021 ◽  
pp. 545-556
Author(s):  
Vyacheclav A. Ilyichev ◽  
Vitaly I. Kolchunov ◽  
Vladimir A. Gordon ◽  
Alexandra A. Kormina
Keyword(s):  
Regression Analysis ◽  
Russian Federation ◽  
Urban Environments ◽  
Residential Areas ◽  
Independent Variables ◽  
Correlation And Regression Analysis ◽  
The Russian Federation ◽  
Living Environments ◽  
Statistical Relationships ◽  
Urban Functions

Abstract Introduction. National goals and strategic objectives of the Russian Federation encompass the development of comfortable and safe urban environments. Pursuant to the goals and objectives, set by the state, the comfort of urban environments must be improved and the value of its quality index must go up, while the number of cities having unfavorable living environments must go down in the short term. Environmental deterioration, which is underway in many cities, sets the task of developing new urban living principles that regulate the biosphere compatibility of cities and the development of human capital. Materials and methods. The theoretical basis of this research project is the paradigm of life activities — biosphere-compatible cities and settlements capable of developing humans, as well as its fundamental provisions concerning the assessment of social standing, the pace of human development, and the application of social standards to public relations. Practical tools, that may be used to solve this problem, include the correlation and regression analysis that serves to identify the statistical relationships between dependent/independent variables of interacting factors and social and demographic indicators of residential areas (micro-districts/blocks) in municipalities. Results. The co-authors propose a new system of indicators, that will be used to assess the condition of the living environment. It expands the traditional notions of urban planning and quality of life in urbanized territories following the principle of urban functions employed to satisfy rational human needs. Statistical data on the availability of urban functions in 17 residential districts of the 15 cities of the Russian Federation was analyzed to choose the type of the regression model and perform the numerical evaluation of its parameters. The results of the correlation and regression analysis of dependent and independent variables, performed in this paper, substantiate the choice of the most significant interacting factors and their rightful contribution to statistical models used to forecast most favorable living conditions. Conclusions. Statistical patterns, identified by the co-authors, are indicative of the level of services provided to the population of residential areas (micro-districts/blocks); they will be the subject matter of further scientific discussions to be focused on the substantiation of indicators of comfort and safety of urban environments and multifactorial processes of life activities in biosphere-compatible cities.

scholarly journals Correlation and regression analysis in the system of strategic planning tools for socio-economic development of the region

2021 ◽  
Vol 9 (3) ◽  
pp. 86-90
Author(s):  
Yuriy Domenko
Keyword(s):  
Economic Development ◽  
Regression Analysis ◽  
Strategic Planning ◽  
Russian Federation ◽  
Institutional Formation ◽  
Correlation And Regression Analysis ◽  
Socio Economic Development ◽  
Planning Tools ◽  
The Russian Federation

To date, the Russian Federation has created and is actively developing a system of strategic planning of socio-economic development, including subjects, objects, strategic documents, tools, regulatory and methodological framework, as well as a number of other elements. Despite the institutional formation, there are still quite a few problems in this system, especially at the regional level. The subjects of the Russian Federation have strategic documents at their level, the purpose of which is the socio-economic development of the region. Despite this, the quality of strategic documents is not always at a high level. First of all, the quality of strategic documents is influenced by a set of tools that allow you to achieve your goals and objectives. Within the framework of this study, a method of correlation and regression analysis is proposed in the system of strategic planning tools at the stage of determining priority 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.

The study of crimes against property on the basis of regional statistics

2020 ◽  
pp. 148-158
Author(s):  
В.А. Чирков
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Russian Federation ◽  
Economic Security ◽  
The State ◽  
Scientific Article ◽  
Material Damage ◽  
Correlation And Regression Analysis ◽  
The Russian Federation ◽  
The Impact

В научной статье рассмотрена тематика преступности против собственности, имеющая ярко выраженную региональную специфику [2, с. 152] на предмет её статистического анализа, выявления факторов, её определяющих. Разнообразие данного рода преступлений требует комплексного анализа и исследования с целью выработки способов по профилактике и борьбе с ними. Эта преступность крайне общественно опасна для граждан, организаций и для государства в целом, так как причиняет значительный материальный ущерб. Актуальность исследования заключается в том, что влияния каждого отдельного фактора на размер материального ущерба определяется необходимостью исследования состояния экономической безопасности Российской Федерации при том, что единицами статистического наблюдения выступают именно регионы. [8, с. 117-123]. Особая значимость в исследовании придается такому показателю как размер материального ущерба по преступлениям против собственности в Российской Федерации. Для выявления связей между показателями были применены различные методы статистического анализа, имеющие значимую роль в научно-обоснованном выводе о состоянии экономической безопасности страны. В процессе исследования применялись следующие научные методы: одномерная, по наиболее значимому показателю, и многомерная группировки, метод корреляционно-регрессионного анализа, метод аналитического выравнивания, метод кластерного анализа. В ходе исследования было установлено влияние и взаимосвязь социально-экономических показателей между собой при помощи корреляционно-регрессионного анализа. Применены методы экстраполяции, с помощью которых были смоделированы прогнозные значения показателей на 2020 г. Ключевым аспектом статистического исследования в данной статье является то, что в процессе анализа взаимосвязи между показателями было выявлено, как размер материального ущерба по преступлениям против собственности, в ближайшей перспективе будет возрастать. Поэтому необходимо усиление внимания к изучению данной проблемы для выработки более действенных способов профилактики и борьбы с экономическими преступлениями. The scientific article considers the subject of crime against property, which has a pronounced regional specificity [2, p. 152] for its statistical analysis, identification of factors that determine it. The diversity of this type of crime requires a comprehensive analysis and research in order to develop ways to prevent and combat them. This crime is extremely socially dangerous for citizens, organizations and for the state as a whole, as it causes significant material damage. The relevance of the study is that the impact of each individual factor on the amount of material damage is determined by the need to study the state of economic security of the Russian Federation, despite the fact that the units of statistical observation are the regions. [8, pp. 117-123]. Particular importance in the study is given to such an indicator as the amount of material damage for crimes against property in the Russian Federation. To identify the links between the indicators, various methods of statistical analysis were used, which have a significant role in the scientifically based conclusion about the state of economic security of the country. In the process of research the following scientific methods were used: one-dimensional, according to the most significant indicator, and multidimensional grouping, the method of correlation and regression analysis, the method of analytical alignment, the method of cluster analysis. The study established the influence and relationship of socio-economic indicators with each other using correlation and regression analysis. Extrapolation methods were used to simulate the forecast values of indicators for 2020. The key aspect of the statistical study in this article is that in the process of analyzing the relationship between the indicators, it was revealed how the amount of material damage for crimes against property will increase in the near future. Therefore, it is necessary to increase attention to the study of this problem in order to develop more effective ways of preventing and combating economic crimes.

scholarly journals STATISTICAL ANALYSIS OF THE STATE OF FIXED ASSETS OF COMPANIES IN THE SPHERE OF ELECTRICITY PRODUCTION AND DISTRIBUTION IN THE RUSSIAN FEDERATION

2021 ◽  
Vol 10 (34) ◽  
Author(s):  
A.A SNATENKOV ◽  
◽  
M.S SAPRYKINA ◽  
Keyword(s):  
Regression Analysis ◽  
Russian Federation ◽  
Transmission Lines ◽  
Power Transmission ◽  
The State ◽  
Electricity Production ◽  
Correlation And Regression Analysis ◽  
Fixed Assets ◽  
Production And Distribution ◽  
The Russian Federation

Companies engaged in the production and distribution of electricity have a significant impact on the financial and economic development of the Russian Federation. In turn, the basis for the functioning of electric power companies are fixed assets, which include transmission devices, the main part of which is power transmission lines, as well as machinery and equipment, including transformer substations, RP, etc. Providing companies with the necessary amount of fixed assets, their full and effective use is one of the most important factors in the growth of the volume of electricity produced and transmitted. The key indicator that reflects the state of fixed assets of companies is the degree of their depreciation. In the article, the authors assess the dynamics of depreciation of fixed assets of companies engaged in the production and distribution of electricity. The authors formed a group of indicators-factors that can influence the state of fixed assets of companies in the field of electricity production and distribution. Through the use of multi-factor correlation and regression analysis, a significant factor has been identified that affects the state of fixed assets of companies engaged in the production and distribution of electricity. Correlation and regression analysis revealed that the degree of depreciation of fixed assets of companies in the field of production and distribution of electricity significantly affects the profitability of their sales.

The causes of poverty in Russia

2020 ◽  
Vol 13 (1) ◽  
pp. 21-36
Author(s):  
I.S. Ivanchenko
Keyword(s):  
Regression Analysis ◽  
Regional Development ◽  
Financial Market ◽  
Russian Federation ◽  
Short Term ◽  
Financial Situation ◽  
Macroeconomic Variables ◽  
Development Plans ◽  
The Russian Federation ◽  
Short Term Forecasting

Subject. This article analyzes the changes in poverty of the population of the Russian Federation. Objectives. The article aims to identify macroeconomic variables that will have the most effective impact on reducing poverty in Russia. Methods. For the study, I used the methods of logical, comparative, and statistical analyses. Results. The article presents a list of macroeconomic variables that, according to Western scholars, can influence the incomes of the poorest stratum of society and the number of unemployed in the country. The regression analysis based on the selected variables reveals those ones that have a statistically significant impact on the financial situation of the Russian poor. Relevance. The results obtained can be used by the financial market mega-regulator to make anti-poverty decisions. In addition, the models built can be useful to the executive authorities at various levels for short-term forecasting of the number of unemployed and their income in drawing up regional development plans for the areas.

scholarly journals Ranking of Regions of Russia by the Demographic Situation Considering the Level of Development of Social Infrastructure

2021 ◽  
Vol 14 (4) ◽  
pp. 96-109
Author(s):  
R. V. Fattakhov ◽  
M. M. Nizamutdinov ◽  
V. V. Oreshnikov
Keyword(s):  
Russian Federation ◽  
Social Infrastructure ◽  
Demographic Situation ◽  
Correlation And Regression Analysis ◽  
The Social ◽  
The Russian Federation ◽  
And Migration ◽  
Medicine Education ◽  
Regions Of Russia ◽  
Socio Economic Factors

The article discusses the formation of the demographic situation in Russia, considering the influence on them of the parameters of the development of social infrastructure. Today, most regions of the country are characterized by a decrease in population. Moreover, it is the level of development of medicine, education and other components of social infrastructure that determine the living conditions of the population and, as a result, the processes of natural and migration movement of the population. The study aims to determine the quantitative parameters of this relationship and the formation based on the results of the received rating of the administrative entities of the Russian Federation. In the framework of the work, we used methods of retrospective analysis, grouping, cluster analysis, correlation and regression analysis, and other methods. Further, we formed a list of indicators characterizing the level of development of the social infrastructure of the territory and highlighted groups of indicators. We proposed An approach to the formation of integral indicators of the level of development of social infrastructure for individual components of the population movement. The regions of the Russian Federation were grouped by the totality of the parameters of the demographic situation and socio-economic factors. As a result of testing the approach, we formed private and integral ratings of the regions of Russia according to the ratio of the parameters of the demographic situation and the level of development of social infrastructure. The results can be used in the development of the state demographic policy.

scholarly journals MODERN TRENDS IN THE FORMATION OF PUBLIC BUSINESS SPACES

2019 ◽  
Vol 4 (4) ◽  
pp. 94-102
Author(s):  
М. Макарова ◽  
M. Makarova ◽  
Е. Ладик ◽  
Elena Ladik ◽  
С. Киселев ◽  
...  
Keyword(s):  
Russian Federation ◽  
Large Scale ◽  
Large City ◽  
Town Planning ◽  
Residential Areas ◽  
The Sustainable Development ◽  
Large Cities ◽  
Current Trends ◽  
The Russian Federation ◽  
The City

This article examines the urban public and business subcenters as secondary elements of the city system, the closest in properties to its main center. The criteria defining the public business subcenters are highlighted. The current trends in the formation of social and business subcenters in large cities and megalopolises are considered. Analysis of world experience is produced. Foreign concepts of spatial development are analyzed on the example of several existing urban subcenters. Various available cartographic materials and literature sources have been studied. They cover the development of urban business centers and various aspects of urban development. The methods of spatial formation of the planning structure of urban public business subcenters are highlighted: the cluster and channel. The development stages of urban subcenters from the territory of concentration of small trade and residential establishments to large-scale multifunctional urban planning formations are presented. The prospects for the development of business subcenters in major cities of the Russian Federation are analyzed and trends are identified: social and business polycentrism, disposition of administrative and business centers on the outskirts of cities and the formation of self-organizing business subcenters, mainly based on shopping and entertainment centers in residential areas. Prospects for development of urban subcenter in a large city are considered on the example of the city of Belgorod. Conclusions are drawn on the need to develop new models of urban public business subcenters taking into consideration the modern planning specifics of large cities and megalopolises of the Russian Federation. Models of urban public business subcenters must meet the requirements of polyfunctionality, to have high architectural and town planning qualities, to take into account the needs of population in the design area and to ensure the sustainable development of the urban periphery.

scholarly journals Institutional Factors in the Development of Financial Technologies in Russia

2020 ◽  
Vol 19 (4) ◽  
pp. 585-604
Author(s):  
E. V. Popov ◽  
◽  
Z. Omonov ◽  
D. B. Shulgin ◽  
◽  
...  
Keyword(s):  
Russian Federation ◽  
Positive Impact ◽  
The State ◽  
Practical Significance ◽  
Knowledge Database ◽  
Correlation And Regression Analysis ◽  
Financial Innovations ◽  
State Of The Economy ◽  
The Russian Federation ◽  
Venture Funding

The development of financial technologies in Russia is an essential driver for the digitalization of socio-economic processes. The objective of this study is to identify trends in the formation and development of financial technologies (fintech) in Russian practice. Based on the analysis of international research in the field of fintech, a number of hypotheses have been formulated that serve as the basis for determining the patterns of development of fintech in Russia. The duality of the relationship between the level of development of the economy and the fintech sector is determined: the level of development of the economy is able to both restrain and stimulate the development of financial innovations. In order to test the hypotheses, a correlation and regression analysis was carried out, which made it possible to determine the influence of various indicators on the development of financial innovations in Russia. The national federal statistics of the Russian Federation, reports of the Central Bank of Russia, statistical data provided by the Russian Association of Venture Funding, the GfK (Growth from Knowledge) database, and data from the Moscow Exchange were used as the data sources. The Patent Lens database was used as a source of data on the development of fintech in the Russian Federation. Results of the study have demonstrated the following trends in the development of financial technologies in Russian conditions: (1) an increase in the gross domestic product of Russia contributes to the development of fintech, which is indicated by the development of financial technologies depends on the state of the economy; (2) negative dynamics of direct investment affects the development of financial technologies in Russia, which shows the connection between the development of financial technologies and institutional voids in the investment sphere; (3) the spread of the use of mobile devices in Russia contributes to the development of fintech (4) the development of the Moscow Exchange, which is one of the main indicators of the state of the capital market, has a positive impact on the development of financial technologies in Russia. The theoretical significance of the results obtained is in identifying trends in the development of financial technologies in Russian practice. The practical significance is the possibility of using the results obtained in developing a strategy for the development of the financial sector and the financial system in the domestic economy.

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