scholarly journals Forest fires in Volga federal district of the Russian Federation (2000-2020 years)

2021 ◽  
Vol 244 ◽  
pp. 01014
Author(s):  
Alsu Fazylova ◽  
Elina Nasyrova ◽  
Liana Faritova ◽  
Alexey Elizaryev

Using statistical data, the dynamics of forest fires in the Volga federal district of the Russian Federation from 2000 to 2020 years is analyzed. The number and area of forest fires were considered as the initial data. At the same time, the total area of forest fire and of burned forests were taken into account separately. It was found that during the period under review, the minimum number of fires was recorded in 2000, and the maximum in 2018. Out of 14 subjects included in the Volga federal district, forest fires in the Republic of Bashkortostan were studied in detail. The dependence of the number of fires by season is established. Using correlation analysis of the statistical data for 2000-2020, the fact of strong dependence between the number of fires in the Volga federal district and forest area covered by fire was established.

Author(s):  
D. Naranova

To consider the main directions and extent of influence of ethical groups on political processes in the Republic of Kalmykia.The authors analyzed scientific research on the ethnic identity of the Kalmyk people, as well as media materials and statistical data on the cause and effect of the influence of ethnic groups on regional policy. Seven key areas of influence of the Kalmyks, as a titular nation, on political processes in the region, including through the formation of an ethnic majority among senior positions in the authorities of the subject of the Russian Federation, were identified. The theoretical significance of the study is due to the complex systematization of facts about the influence of the ethnodominating nation of the Republic of Kalmykia on political processes in the region. The practical significance is expressed in the proposal of specific recommendations for partial stabilization of the situation in the Republic.


2020 ◽  
Vol 17 (2) ◽  
pp. 55-62
Author(s):  
M. V. Bikeeva ◽  
K. V. Belash

Purpose of the study. Information and communication technologies are becoming a powerful tool for the development of electronic business. Today, the leaders in the global economic and political space are precisely those countries that have learned to determine the vector of development of information technologies and use new opportunities for their application. The development of innovative digital technologies in Russia and in the world is widely discussed in the framework of various discussion platforms. In particular, at the International Forum “The Digital Future of the Global Economy” (January 31, 2020 Almaty), digitalization of trade processes between the EAEU membercountries became one of the main topics. The annual Tech Week conference (Moscow) is becoming a traditional place for discussing the implementation of innovative technologies in business, as well as for the exchange of experience of leading Russian and world corporations in the field of electronic business. In this regard, there is a need for a comprehensive statistical assessment of the development level of electronic business of the territory.Materials and methods. The research was based on the data of the Federal State Statistics Service for 2018 for the regions of the Volga federal district, and the results of monitoring the development of the information society in the Russian Federation. As a tool for assessing the degree of digitalization of business in the regions of the Volga federal district, the graphic polygon (radar) method is used.Results. The article provides a retrospective analysis of the stages of development of electronic business in Russia. Among the characteristic features of the modern stage of its development are the mass introduction of Internet technologies and the transformation of traditional business methods. The introduction of advanced information and communication technologies contributes to greater involvement of the business sector in electronic business. In terms of the level of development of information and communication technologies (ICT Development Index), Russia ranks 45th among the countries of the world. For the period 2010 - 2018 the development of electronic business in Russia has a positive trend. According to the results of 2018, the volume of the Russian e-commerce market amounted to 1280 billion rubles, or 4.1% of the total trade turnover. According to forecast estimates, by 2023 the volume of Russian e-commerce market will grow to 8.5% of the total turnover and amount to 2780 billion rubles. An integrated assessment of the development level of electronic business was carried out according to sixteen local criteria. As a result of calculating the private and local ranks of the values of the relevant criteria, fourteen polygons of the level of development of electronic business were constructed by the number of regions of the Volga federal district. The results obtained allow us to state the existence of a high degree of heterogeneity of the regions of the Volga federal district according to the integral indicator under study. Among the leading regions in terms of electronic business development are the Republic of Tatarstan, Perm krai and Nizhny Novgorod region. Outsider regions – the Mari El Republic, the Republic of Mordovia, and the Kirov region – are characterized by a low percentage of organizations that used the capabilities of the Intranet and Extranet, the absence of special software for managing sales of goods (works, services), and limited use of software, in particular ERP, CRM and SCM systems.Conclusion. The widespread use of information and communication technologies entails the expansion of opportunities and improving the quality of coordination of business activities. We should remember that if modern business cannot quickly adapt to the new requirements of the digital economy, then it risks becoming uncompetitive. The results of the study revealed a differentiation in the development of electronic business in the regions of the Volga federal district. A similar situation is observed in most constituent entities of the Russian Federation and is due in many respects to specific reasons for each region. The timely fulfillment of the goals and objectives of digital transformations in the Russian Federation reflected in the Digital Economy of the Russian Federation Program and other regulatory documents will help to smooth out the existing imbalances.


2020 ◽  
Vol 99 (3) ◽  
pp. 291-297
Author(s):  
Елена Юрьевна Горбаткова

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).


2021 ◽  
Vol 8 (1) ◽  
pp. 56-67
Author(s):  
Lyudmila Kovalchuk ◽  

The expansion of the borders of the Far Eastern Federal District due to the inclusion of the Trans-Baikal Territory and the Republic of Buryatia in its composition actualizes the problem of inequality of regions (primarily in the social sphere), which in the new boundaries of the macroregion has significantly increased and has acquired a «supernormal» character. It has been established that the lag of the «new» Far Eastern subjects in the level of social development is accompanied by an increase in negative phenomena in the social sphere. The necessity of implementing a set of measures to form a «corridor of opportunities» that regions can use, including within the framework of interregional interaction within the Far Eastern Federal District, has been substantiated


2020 ◽  
pp. 12-18
Author(s):  
N. T. Rafikova ◽  
T. S. Trofimchuk

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.


Author(s):  
N. V. Rudakov ◽  
S. N. Shpynov ◽  
N. A. Pen’evskaya ◽  
A. I. Blokh ◽  
T. A. Reshetnikova ◽  
...  

Objective is to analyze the incidence of Siberian tick typhus (STT) in the Russian Federation over the period of 2010–2020, Astrakhan spotted fever (ASF) and Mediterranean fever (MF) since the official registration, and to forecast the development of the epidemic process for endemic rickettsioses for 2021. The analysis of the incidence of STT, ASF and MF in Russia for the period of 2010–2020, 2013–2020 and 2014–2020, respectively, has been carried out. The forecast of endemic rickettsioses morbidity in the European and Asian parts of Russia for 2021 has been made. The average long-term incidence of STT for 2010–2020 in the Russian Federation as a whole was 1.04 (CI95 1.02÷1.05) 0/0000, with no tendency to change. The maximum relative incidence of STT is typical for the Siberian Federal District (SFD), where the average long-term incidence rate for 2010–2020 was 6.20 (CI95 6.08÷6.31) per 100 thousand of the population. The Far Eastern Federal District (FEFD) – 4.70 (CI95 4.53÷4.87) 0/0000 came in second place, the third place was taken by the Ural Federal District (UFD) – 0.08 (CI95 0.07÷0.10) 0/0000. When assessing the 11-year dynamics of the relative incidence of STT by the Federal Districts, we have detected a tendency to its stabilization in the SFD and the FEFD. In the UFD, a significant downward trend was revealed. The upward trend in the incidence of STT remained in the Altai Republic. Major decline in STT incidence was observed in the Kurgan Region, Trans-Baikal Territory, Krasnoyarsk Territory, and the Republic of Khakassia. There was a declining trend in the incidence of Astrakhan spotted fever in the Astrakhan Region and the Republic of Kalmykia. In the Republic of Crimea and the city of Sevastopol there is no trend to increase the incidence of Mediterranean fever.


2018 ◽  
Vol 22 (6) ◽  
pp. 132-152
Author(s):  
L. G. Cherednichenko ◽  
R. V. Gubarev ◽  
E. I. Dzyuba ◽  
F. S. Fayzullin

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.


2021 ◽  
Vol 11 (1) ◽  
pp. 36-44
Author(s):  
Mariya Martynova

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


2021 ◽  
Vol 34 (01) ◽  
pp. 186-192
Author(s):  
Yang Lifen ◽  
Yuriy Yu. Fedorov

This study reviews and compares the market potential of two macro-areas in the Republic of Sakha (Yakutia) in the AZRF (Arctic zone of the Russian Federation) and the FEFD (Far Eastern Federal District. Moreover, this work shows that a significant part of supply and demand in municipalities' domestic markets is concentrated in the FEFD. Until recently, the AZRF and the FEFD were not considered by the State as a single government body. Transferred powers to the Ministry of the Russian Federation for the development of the Far East and the Arctic has allowed the territory of the Arctic uluses of the Republic of Sakha (Yakutia) to be included in the social and economic development of the FEFD.


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