scholarly journals Regional differentiation of higher education in Russian regions in 2020

2021 ◽  
Vol 12 (35) ◽  
pp. 428-445
Author(s):  
Iuliia Pinkovetskaia ◽  
Magomedsaid Yakhyaev ◽  
Elena Sverdlikova ◽  
Daniela S. Veas Iniesta
Keyword(s):  
Higher Education ◽  
Regional Differentiation ◽  
Russian Regions ◽  
Significant Development ◽  
Working Age ◽  
The Russian Federation ◽  
Working Age Population ◽  
Statistical Surveys ◽  
Higher Education Organizations ◽  
Regions Of Russia

The aim of this study was to evaluate the specific values of the indices that describe the spread of higher education institutions in all regions of Russia and the number of their students in the total working-age population living in these regions. The initial empirical data were the results of official statistical surveys conducted on information on the development of higher education, as well as the number of working -age population in eighty-two regions of the Russian Federation for 2020. In the course of the research, four mathematical models were developed. The study showed that on average, there are almost 14.8 higher education organizations per million working-age residents in the regions. It is proved that every twenty-fourth person of working age in 2020 studied under higher education programs. The conducted analysis showed the presence of a significant differentiation of the values of the considered indicators by region. The regions with the maximum and minimum values of the considered indicators were identified. It is shown that higher education has received significant development in Russia.

scholarly journals Higher education in Russia: number and structure of teachers

2021 ◽  
Vol 7 (3C) ◽  
pp. 543-553
Author(s):  
Iuliia Pinkovetskaia ◽  
Olga Androsova ◽  
Lyudmila Sudovchikhina ◽  
Tatiana Kozina
Keyword(s):  
Higher Education ◽  
Educational Institutions ◽  
Teaching Staff ◽  
Higher Educational Institutions ◽  
Significant Development ◽  
Working Age ◽  
Working Age Population ◽  
Higher Educational ◽  
Statistical Surveys ◽  
Regions Of Russia

The purpose of our study was to evaluate the indicators that characterize the number and structure of the teaching staff that provides students with higher education programs in the regions of Russia. The initial empirical data were the results of official statistical surveys conducted on the basis of information on the number of teachers in higher educational institutions, students in these organizations, as well as on the working-age population in eighty-two regions of Russia in 2020. In the course of the study, four mathematical models were developed. The study showed that on average, no more than two teachers work in higher educational institutions per million people of working age in the regions. It is proved that three out of four professors were candidates of sciences and Doctor of Sciences (that is, they had academic degrees). In 2020, there were an average of twenty students per teacher. The regions with the maximum and minimum values of the considered indicators were identified. It is shown that higher education has received significant development in Russia.

scholarly journals Territorial features of the development of higher education in Russia

2021 ◽  
Vol 14 (33) ◽  
pp. e16214
Author(s):  
Iuliia S. Pinkovetskaia
Keyword(s):  
Higher Education ◽  
Total Population ◽  
Statistical Data ◽  
Econometric Models ◽  
Access To Higher Education ◽  
Initial Information ◽  
Significant Development ◽  
Higher Education Organizations ◽  
Regions Of Russia

The purpose of our study was to evaluate the indicators characterizing the presence of higher education organizations in the regions of Russia, as well as the proportion of students in the total population of each of the regions. The study used as initial information official statistical data on the development of higher education in 82 regions of Russia in 2020, as well as information on the population in each of the regions. We have developed econometric models that describe the distribution of access to higher education in the regions. The study allowed us to estimate the number of higher education organizations per one million residents and the share of students in the population of the regions. The regions with the maximum and minimum values of the considered indicators were identified. It is shown that higher education has received significant development in Russia.

scholarly journals Development of higher education in Russian regions

2022 ◽  
Vol 7 ◽  
pp. e6803
Author(s):  
Iuliia Pinkovetskaia
Keyword(s):  
Higher Education ◽  
Associate Professor ◽  
Teaching Staff ◽  
Density Functions ◽  
Institutions Of Higher Education ◽  
Russian Regions ◽  
Research And Teaching ◽  
Whole Number ◽  
Higher Education Organizations ◽  
Regions Of Russia

Study was devoted to the assessment of indicators characterizing the number and structure of research and teaching staff at universities and other institutions of higher education in the regions of Russia. These indicators were the number of teachers working in higher education, per thousand residents and per hundred students, proportion of professors and associate professors in the whole number of teachers. Research used official statistical information for 82 regions of Russia. We used density functions of normal distribution as models. Study showed that on average, there was a little more than one teacher working in higher education organizations per thousand residents. It is proved that on average, every seventh teacher in all regions held the position of professor. Approximately two-thirds of all teachers held associate professor positions, there were five teachers per one hundred students.

scholarly journals Impact of the Demographic Processes on the Inflation Rate in the Russian Regions

2021 ◽  
Vol 17 (1) ◽  
pp. 123-143
Author(s):  
Ekaterina Shevchenko ◽  
Keyword(s):  
Growth Rate ◽  
Inflation Rate ◽  
Age Groups ◽  
Volume Index ◽  
Inflation Expectations ◽  
Russian Regions ◽  
Working Age ◽  
Demographic Processes ◽  
Working Age Population ◽  
Regions Of Russia

The influence of demographic processes on the inflation rate in Russian regions is reviewing. The hypothesis of heterogeneous influence of the population of different age groups on the inflation rate are testing. Such influence can be explained by the different behavior of age groups concerning consumption, inflation expectations, as well as other factors that determine the behavior of different age groups, the specifics of the country’s regions, and interregional interaction. The database includes the statistical indicators of 81 regions of Russia for the period from 2010 to 2018. As the dependent variable the author has taken the inflation rate. As the independent variables in this paper are using the growth rate of the working age population share, the population younger than working age share, and the population older than working age share. Control variables are the openness of the economy, the growth rate of the physical volume index of investment, and the regional fiscal balances. The global and local Moran, Geary, Getis and Ord indices were used to identify the spatial dependence of the inflation rate. The obtained results allowed us to conclude that we can observe a positive global autocorrelation of the inflation rate in Russian regions and there is a need to use spatial models. Estimation of the Durbin spatial model allowed us to confirm the hypothesis. The growth rate of the working-age population share is inflationary, the growth rate of the population older than working age is inflationary too, but less, and the growth rate of the population younger than working age – deflationary. The obtained conclusions can be used to forecast inflation in the regions of Russia

The development of information interaction as a key element of state risk management and health protection

2020 ◽  
pp. 68-76
Author(s):  
S. Voronkova
Keyword(s):  
Risk Factors ◽  
Health Promotion ◽  
Information System ◽  
Information Interaction ◽  
New Information ◽  
Wide Range ◽  
Working Age ◽  
The Russian Federation ◽  
Working Age Population ◽  
Types Of Information

The article discusses ways to obtain information about risk factors and the health status of the population. The article describes a new information system «labor Medicine», which allows to organize the collection of a wide range of data for further analysis and application in the activities of various Executive authorities, public organizations, foundations, legal entities and citizens. It is proposed to improve this system by expanding the types of information collected, creating a passport for health promotion organizations, as well as integration with systems that are being implemented in the Russian Federation for managing the health of the working-age population in the context of state policy in the field of Informatization.

Russian students in universities of Baltic countries

2021 ◽  
pp. 89-94
Author(s):  
A.L. Arefiev ◽  
◽  
Keyword(s):  
Higher Education ◽  
Russian Federation ◽  
Professional Training ◽  
Educational Institutions ◽  
Quality Of Education ◽  
Russian Regions ◽  
Baltic Countries ◽  
The Russian Federation ◽  
The Baltic

In recent years, higher educational institutions of the Baltic countries have become more and more popular among Russian youth wishing to get higher education (or take a certain course of professional training) abroad. The article, covering the period before the onset of the coronavirus epidemic, highlights the education of Russian students in universities in Latvia, Lithuania and Estonia. It is noted that a significant part of the students from the Russian Federation come from the Russian regions bordering on the Baltic states. The appendix presents the opinions of Russian students about the learning process and the quality of education received in Latvian, Lithuanian and Estonian universities.

Some Issues of Morbidity with Temporary Incapacity for Work in the Ural Federal District

2021 ◽  
pp. 37-44
Author(s):  
AS Shastin ◽  
VG Gazimova ◽  
OL Malykh ◽  
TS Ustyugova ◽  
TM Tsepilova
Keyword(s):  
Public Health ◽  
Russian Federation ◽  
Disease Incidence ◽  
Federal District ◽  
Incidence Rates ◽  
Statistical Information ◽  
Working Age ◽  
The Russian Federation ◽  
The Common ◽  
Working Age Population

Introduction: In the context of a decreasing size of the working-age population, monitoring of the health status and disease incidence in this cohort shall be one of the most important tasks of public and occupational health professionals. Health risk management for the working population in the Russian Federation requires complete and reliable data on its morbidity, especially in view of the fact that its average age demonstrates a stable growth. It is, therefore, crucial to have precise and consistent information about the morbidity of the working-age population. Objective: The study aimed to assess incidence rates of diseases with temporary incapacity for work in the constituent entities of the Ural Federal District of the Russian Federation. Materials and methods: We reviewed data on disease incidence rates published by the Federal State Statistics Service in the Common Interdepartmental System of Statistical Information, Section 15.12, Causes of Temporary Disability, and Section 2.9.I.4, Federal Project for Public Health Promotion. The constituent entities under study were ranked according to the number of cases and days of temporary incapacity per 100 workers and E.L. Notkin scale was used to determine grade the incidence. The statistical analysis was performed using STATISTICA 10 software. Long-term average values of certain indicators, median values, standard deviation (σ) and coefficients of variation were estimated. The difference in the indices was assessed using the Mann-Whitney test. Results: Compared to 2010, incidence rates of diseases with temporary incapacity for work in the constituent entities of the Ural Federal District in 2019 demonstrated a significant decline. The sharp drop was observed in 2015. We also established that the Common Interdepartmental System of Statistical Information contains contradictory information on disease incidence. Conclusion: It is expedient to consider the issue of revising guidelines for organization of federal statistical monitoring of morbidity with temporary incapacity for work and to include this indicator in the system of public health monitoring.

Revealing of the specificity of mortgage housing lending based on the results of clustering of regions

2021 ◽  
Vol 27 (12) ◽  
pp. 2679-2697
Author(s):  
Lyudmila E. ROMANOVA ◽  
Anna L. SABININA ◽  
Andrei I. CHUKANOV ◽  
Dar’ya M. KORSHUNOVA
Keyword(s):  
Systems Approach ◽  
Mortgage Lending ◽  
Effective Algorithm ◽  
Russian Regions ◽  
Local Conditions ◽  
Partitioning Around Medoids ◽  
Analysis And Synthesis ◽  
The Russian Federation ◽  
The Impact ◽  
Regions Of Russia

Subject. This article deals with the particularities of the development of housing mortgage lending in the regions of Russia. Objectives. The article aims to substantiate the need for clustering of territorial entities by level of development of mortgage housing lending in Russia and test the most effective algorithm for mortgage clustering of regions. Methods. For the study, we used a systems approach, including scientific abstraction, analysis and synthesis, and statistical methods of data analysis. The algorithm k-medoids – Partitioning Around Medoids (PAM) was also used. Results. Based on the results of the study of regional statistics of the Russian Federation, the article reveals a significant asymmetry in the values of key socioeconomic indices that determine the level and dynamics of housing mortgages in the regions. This necessitates the clustering of territorial entities according to the level of development of mortgage housing lending in the country. To take into account the impact of various local conditions in assessing the prospects for the development of regional housing mortgages, the article proposes an indicator, namely, the integral regional mortgage affordability index. On its basis, in accordance with the selected clustering procedure, the article identifies five mortgage clusters in Russia and identifies their representative regions. Conclusions. Based on the analysis of the specificity of the development of regional mortgages in the Tula Oblast, taking into account the implementation of the target State programme, the article concludes that it is necessary to improve the mechanisms for financing regional mortgage programmes and justifies the need to develop differentiated programmes for the development of housing mortgages in groups of Russian regions.

scholarly journals The morbidity, disability, and mortality associated with respiratory diseases in the Russian Federation (2015 – 2019)

2021 ◽  
Vol 31 (5) ◽  
pp. 551-561
Author(s):  
Elena V. Bystritskaya ◽  
Tatiana N. Bilichenko
Keyword(s):  
Mortality Rate ◽  
Russian Federation ◽  
Respiratory Diseases ◽  
Maximum Level ◽  
Federal State ◽  
Female Population ◽  
Working Age ◽  
The Russian Federation ◽  
Working Age Population ◽  
Far Eastern

Respiratory diseases (RD) represent one of the most urgent issues in Russian health care and have high socio-economic significance.The aim. To study the dynamics of total morbidity and mortality in the Russian Federation, as well as the mortality associated with RD in the working-age population in 2015 – 2019.Methods. The official statistical data of the Ministry of Health of the Russian Federation and the Federal State Statistics Service were analyzed.Results. In 2019, the total RD-associated morbidity increased by 5.4%, and the prevalence of pneumonia increased by 29.0% compared to 2015. In 5 federal districts (FD), the morbidity exceeded the average Russian morbidity in 2019 (40,694.7). The maximum level was observed in the North-Western FD (50,224.1). The prevalence of pneumonia (Russia – 524.4) in 4 FDs exceeded the average Russian prevalence. The maximum level was reported in the Far Eastern FD (749.2 cases per 100 thousand of the total population). The RD-associated mortality rate in Russia was 51.8 cases per 100 thousand in 2015 and 41.6 cases per 100 thousand in 2018 (–19.7%). In 2018, the highest RD-associated mortality was observed in the Siberian FD (68.0) and Far Eastern FD (57.8 per 100 thousand people). From January to December 2019, the highest mortality associated with pneumonia in the working-age population was observed in the Far Eastern FD (28.2 per 100 thousand people). The RD-associated mortality rate in the male population was 4.2 times higher than in the female population (26.7 and 6.3, respectively, per 100 thousand persons of matching age).Conclusion. The highest morbidity was found in 2018 and 2019 in the Northwestern FD and Far Eastern FD. The RD-associated mortality in the Siberian FD and Far Eastern FD exceeded the average Russian values. This last observation requires additional research to improve the quality of medical care.

scholarly journals Social Development Forecast for Russian Regions

2018 ◽  
Vol 22 (6) ◽  
pp. 132-152
Author(s):  
L. G. Cherednichenko ◽  
R. V. Gubarev ◽  
E. I. Dzyuba ◽  
F. S. Fayzullin
Keyword(s):  
Neural Network ◽  
Social Development ◽  
Russian Federation ◽  
Objective Assessment ◽  
Russian Regions ◽  
Republic Of Bashkortostan ◽  
The Social ◽  
The Russian Federation ◽  
The Republic ◽  
Regions Of Russia

The objective of the article is to offer a proprietary technology for assessment and forecasting of social development of Russian regions. The methodological basis of the study is neural network technology (a Bayesian ensemble of dynamic neural networks of different configurations is formed) that ensure high accuracy of the forecast. The authors developed a methodology for assessing the social potential of the Russian regions. They have also designed a system of private indicators characterising the level of social development of Russian regions. The indicators have been divided into five groups: 1) population (life expectancy); 2) standard of living of the population; 3) education; 4) health care (morbidity); 5) research and innovation. The private indicators have been made comparable by normalizing their values by means of “Pattern” method. This method allows the objective assessment of the interregional “gaps” in the country across the entire system of social indicators. The social development index of the subjects of the Russian Federation has been calculated. Based on neural network technologies (Kohonen self-organizing maps) clustering of regions of Russia regarding social development has been conducted. The forecast of the social development of the Russian regions has been made. Due to the forecast, it has been established that in the leading region of the Russian Federation (Moscow) in 2017-2019 the decrease is expected in the index of social development in comparison with 2014-2016. In another leading region of the Russian Federation (St. Petersburg) the decline in comparison with 2016 is expected in the medium term. At the same time, for the Republic of Bashkortostan in 2017-2019, just a slight decrease in the level of social development is forecasted. However, it is expected that the Republic will still lag significantly behind the leading regions of Russia by social development. The example of the Republic of Bashkortostan helped to discover that the lag in social development can be explained by the “gap” in research and innovations. The authors have concluded that it is necessary to improve the effectiveness of social policy at the regional level. Thus, it is necessary not only to increase financing of the social sphere of the subjects of the Russian Federation, but also to ensure proper control of budget spending. The developed methodology can be an effective tool for forecasting and managing social development of the Russian regions by the relevant ministries and departments.

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