scholarly journals Research of the attractiveness of municipal districts and cities of the Republic of Bashkortostan using component and cluster analyzes

2020 ◽  
Vol 12 (5) ◽  
Author(s):  
Miliausha Akhmetzianova ◽  
Alsu Atnabaeva
Keyword(s):  
Cluster Analysis ◽  
Russian Federation ◽  
Legal Status ◽  
Population Decline ◽  
Component Analysis ◽  
Republic Of Bashkortostan ◽  
Working Age ◽  
The Russian Federation ◽  
Working Age Population ◽  
The Republic

According to Rosstat, today in 56 regions of the Russian Federation there is a negative population dynamics. For 52 regions, this decline is explained by natural population decline, of which 42 regions have a negative migration balance. The Republic of Bashkortostan is included in the group of regions with a high level of outflow of young working-age population. This trend has been observed for 14 years, which may indicate that the conditions provided by municipalities do not correspond to the desired standard of living of the population. In this case, two components of the problem under consideration can be distinguished: on the one hand, residents are moving to other constituent entities of the Russian Federation, and on the other, the population is centralized in large cities within the region. In this connection, this article is devoted to the disclosure of the specifics of migration through the analysis of the level of attractiveness of territories for the working-age population. The aim of the study is to assess the labor attractiveness of municipal districts and cities of the Republic of Bashkortostan. As part of the study, a component analysis of 62 municipalities was carried out (CATA) Mizhgirya was not included in the analysis due to the specifics of the legal status of this municipal formation) for 13 indicators characterizing the socio-economic situation of districts and cities that affect population migration. The results of the component analysis formed the basis for assessing the level of attractiveness by calculating the coefficient through a single integral indicator. The indicators of the first component were used to conduct cluster analysis, as a result of which 5 clusters of municipal districts and cities were formed, characterizing the level of attractiveness of the territory. Using the above methods, on the basis of a comprehensive multivariate assessment, the coefficients of attractiveness of territories and the intervals of their belonging to clusters were determined. The clusters of territories obtained in the course of the analysis and mathematical calculations of assessments of attractiveness formed the basis for constructing a cartographic scheme for the distribution of municipal districts and cities of the Republic of Bashkortostan. The scientific novelty of the study consists in combining the results of a comprehensive multifactorial assessment of the territory from the standpoint of determining the factors of attractiveness (component analysis) and methods of spatial grouping of territories (cluster analysis), which make it possible to determine the coefficients of attractiveness of municipalities and the intervals of their belonging to clusters. From a practical point of view, the results of the study formed the basis for constructing a cartographic scheme for the distribution of municipal districts and cities of the Republic of Bashkortostan, which makes it possible to increase the effectiveness of state policy measures in the field of regulating migration processes in the region by developing specific measures taking into account the peculiarities of the development of a particular group of territories.

scholarly journals SEGMENTATION OF TERRITORIES OF THE REPUBLIC OF BASHKORTOSTAN ON THE LEVEL OF MORTALITY FROM MALIGNANT NEOPLASMS

2019 ◽  
Vol 63 (1) ◽  
pp. 4-13
Author(s):  
P. A. Askarov ◽  
A. O. Karelin ◽  
I. A. Lakman ◽  
L. F. Rozanova ◽  
Zagira F. Askarova
Keyword(s):  
Cluster Analysis ◽  
Russian Federation ◽  
Malignant Tumors ◽  
Mortality Rates ◽  
Federal State ◽  
Malignant Neoplasms ◽  
Actual Problem ◽  
Republic Of Bashkortostan ◽  
The Russian Federation ◽  
The Republic

Malignant neoplasms are an actual problem due to their high prevalence, high level of disability, tendency to increase. The purpose of the study is the segmentation of the territories of the Republic of Bashkortostan (RB) by the level of mortality from malignant neoplasms (MN) as a whole by municipalities, as well as by gender and by localizations of malignant neoplasms. Material and methods. The data of official statistics of the Territorial body of the Federal State Statistics Service of the Republic of Belarus (Table C 51), Rosstat were analyzed. The study was conducted using k-means cluster analysis and rating, implemented in the Statistica system. Results. There is a significant increase in the death rate of the entire population of ZN in 41 municipalities. Analysis of standardized mortality rates shows that the mortality rate per 100 thousand of the population in the Republic of Belarus is lower than similar indicators in the Russian Federation. The exception is mortality in esophageal cancer, which is higher in both men and women than in the Russian Federation. It has been established that the regions of the fourth and fifth clusters are unfavorable in terms of mortality from MN. Discussion. Revealed a pronounced uneven distribution of the territory of the Republic of Belarus with a tendency to an increase in mortality from MN in many territories. It is possible that the main reasons for the increase in mortality rates are worsening socio-economic conditions, lower living standards, increased chemical stress in urbanized areas (air pollution), as well as insufficient promotion of healthy lifestyles among the population, preventive knowledge, and health problems. care, its poor quality. Conclusion. As a result of the analysis, it was possible to establish that cluster analysis allows us to identify areas that have similar problems related to the level and trends of mortality from malignant tumors.

scholarly journals Impact of the demographic dividend on economic growth

2018 ◽  
Vol 2 (4) ◽  
pp. 85-135
Author(s):  
Zarina Kazbekova
Keyword(s):  
Economic Growth ◽  
Russian Federation ◽  
Population Decline ◽  
Gdp Per Capita ◽  
Demographic Dividend ◽  
Working Age ◽  
Real Gdp Per Capita ◽  
The Russian Federation ◽  
Per Capita ◽  
Working Age Population

In the context of the working-age population decline in the Russian Federation, the study of the influence of the dynamics of the share of the working -age population on economic growth is of particular interest. The main purpose of the article is to assess the contribution of the first demographic dividend to the GDP per capita growth rate in Russia betwеen 1997 and 2015. The main methods used by the author of this work are statistical analysis and econometric modeling based on Rosstat data. According to the results obtained in the course of this study, the first demographic dividend provided about 13% growth of real GDP per capita in the Russian Federation in 1997-2015. It has been proved that the age structure of the population is important.

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.

scholarly journals Study of actual nutrition in modern student youth

2020 ◽  
Vol 99 (3) ◽  
pp. 291-297
Author(s):  
Елена Юрьевна Горбаткова
Keyword(s):  
Russian Federation ◽  
State Policy ◽  
Nutritional Composition ◽  
The State ◽  
Fields Of Study ◽  
Healthy Nutrition ◽  
Republic Of Bashkortostan ◽  
The Russian Federation ◽  
The Republic

One of the most important factors affecting the health of modern youth is nutrition. Taking into account the timeliness of this problem, a research aimed at improving the quality of nutrition for students of higher education institutions of various fields of study (Ufa, the Republic of Bashkortostan) was executed. A software directed at studying the nutritional composition of the diet of students was developed, registered and tested. The development and implementation of the program were carried out taking into account regional features of nutrition of the population of the Republic of Bashkortostan. The food ration of university students of various fields of study was also evaluated according to food groups. The insufficiency of the daily ration based on a number of indics was revealed (according to nutritional composition and food products. The nutritional status of students according to the level of insufficiency of daily intake of nutrients in order to identify the degree of risk of abnormalities in the state of health development was evaluated also. According to the document of the Government of the Russian Federation “Fundamentals of the state policy of the Russian Federation in the field of healthy nutrition of the population for the period until 2020”, implementation the development of a set of measures aimed at reducing the prevalence of diseases associated with nutrition is one of the main directions of the state policy in the field of healthy nutrition. In this regard, a conceptual medical-pedagogical model aimed at forming a system of values in relation to healthy lifestyle among students was developed. Currently, there was executed an evaluation of the effectiveness of this model in the educational process of the M. Akmulla Bashkir State Pedagogical University. There was also been studied content of macro- and microelements in the venous blood of the students based on the changes in the quality of nutrition. There was also conducted analysis of hygienic conditions of students’ educational environment of leading universities in Ufa (the Republic of Bashkortostan).

Current trends in the use and payment of labor

2020 ◽  
pp. 12-18
Author(s):  
N. T. Rafikova ◽  
T. S. Trofimchuk
Keyword(s):  
Statistical Analysis ◽  
Russian Federation ◽  
Current Trends ◽  
Republic Of Bashkortostan ◽  
The Russian Federation ◽  
The Republic

The authors present the results of statistical analysis of the use of labor in the Russian Federation and, in particular, in agriculture of the Republic of Bashkortostan.

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.

scholarly journals ASSESSMENT OF GREEN AREA IN THE TERRITORY OF THE REPUBLIC OF BASHKORTOSTAN

2021 ◽  
Vol 11 (1) ◽  
pp. 36-44
Author(s):  
Mariya Martynova
Keyword(s):  
Russian Federation ◽  
European Part ◽  
Forest Steppe ◽  
The South ◽  
Forest Park ◽  
Steppe Region ◽  
Republic Of Bashkortostan ◽  
Green Zone ◽  
The Russian Federation ◽  
The Republic

The results of assessing allocation, territorial distribution of green zones of the Republic of Bashkortostan are given and the standard area of the green zone of the republic's settlements is calculated. In the forest fund of the republic on an area of 300.29 thousand hectares, green zones have been allocated on the territory of 27 out of 31 forestry districts. The largest areas of green zones (thousand hectares) are allocated in Ufa (55.569, including forest park zone 3.280), Dyurtyulinsky (25.904), Sterlitamak (26.875, including forest park zone 4.873) and Yanaulsky (19.724, including forest park zone 0.809) forestry. The lack of green zones in Burzyansky, Karaidelsky, Nurimanovsky and Khaibullinsky forestries is explained by the priority of other categories of protective forests - valuable forests, forests located in water protection zones and in protected areas. Forest park zone is allocated in 19% of forestries. The area of green zones according to the State Standard should be 317.8 thousand hectares, according to the method of V.P. Kovtunov - S.V. Belov - 592.1 thousand hectares, in fact, it is 231.8 hectares. It is required to include 86.0 thousand hectares of forests in the green zone according to the GOST standard. It was determined that in the South Ural forest-steppe region there are 7.1 hectares of forest fund per inhabitant, in the Forest-steppe region - 1.1 hectares / person, in the area of coniferous-deciduous forests - 1.5 hectares / person. The area of the green zone of the cities of the Forest-steppe region of the European part of the Russian Federation is closest to the optimal one; in the Region of coniferous-broad-leaved forests of the European part of the Russian Federation, green zones exceed the norms for the areas of green zones both according to GOST and according to V.P. Kovtunov - S.V. Belov. Insufficient forest area of green zones is seen in the South Ural forest-steppe region

scholarly journals Foresight as a strategic planning and forecasting tool of sustainable development of rural areas

2019 ◽  
Vol 190 (11) ◽  
pp. 92-110 ◽  
Author(s):  
Евгений Стовба ◽  
Evgeniy Stovba ◽  
Миляуша Лукьянова ◽  
Milyausha Luk'yanova ◽  
Виталий Ковшов ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Strategic Planning ◽  
Russian Federation ◽  
Rural Areas ◽  
Strategic Plans ◽  
Republic Of Bashkortostan ◽  
The Russian Federation ◽  
The Republic ◽  
Municipal Level

Abstract. The article actualizes the need of foresight technologies in the sustainable development of strategic plans of sustainable development in rural municipalities at the level of the Russian Federation. It is pointed out that the modern methodology of foresight studies is quite flexible and multifaceted, has wide application at different hierarchical levels of management. The purpose of the study is to prove the need to use the foresight methodologies for rural development strategic planning and forecasting tool. In the course of the study, the following methods were used: strategic planning and forecasting, foresight technologies (expert survey and expert opinions), comparative analysis. The scientific novelty of the study is determined by the formation of a set of practical recommendations on the use of foresight tools at the municipal level of management in rural areas. The systematic approach usage in combination with foresight technologies allows to develop strategic plans for the development in rural areas from the perspective of long-term improvement of their economic and social component. A brief analysis of the current state and development of foresight research in the Russian Federation is presented. It is concluded that in modern conditions of rural development it is necessary to develop strategic programs and anti-crisis measures that should focus on the application of the foresight technologies. It shows that the characteristic features of the rural municipal foresight are, on the one hand, the obligatory interconnection of strategic priorities for rural areas development in the long term and, on the other hand, the need to achieve the interest of key factors in regional development. Results of a research: the algorithm of strategic planning of sustainable development of rural areas of the region based on foresight technologies and the mechanism for its implementation at the municipal level are considered; strategic goals and priority areas for sustainable development of rural areas of the Republic of Bashkortostan in the sub-regional context were defined. On the basis of the foresight analysis, a three-level branding of agri-food products manufactured in the region was carried out, and brands within the considered rural municipalities were identified. It is concluded that foresight technologies should be used as the system tool for the formation and implementation of sustainable development strategy in rural areas of the Republic of Bashkortostan.

Sign in / Sign up

Export Citation Format

Share Document