The economy of the Chukotka Autonomous Okrug: On the path from monodependence to diversification

2020 ◽  
Vol 18 (4) ◽  
pp. 662-674
Author(s):  
S.G. Serikov
Keyword(s):  
Economic Development ◽  
Statistical Analysis ◽  
Gross Regional Product ◽  
Key Factors ◽  
Economic Problems ◽  
Analysis Methods ◽  
Socio Economic Development ◽  
Regional Product ◽  
Statistical Analysis Methods

Subject. This article explores the changes in the economic development of the Chukotka Autonomous Okrug during the Soviet and post-Soviet periods. Objectives. The article aims to identify trends and features of the socio-economic development of the Chukotka Autonomous Okrug. Methods. For the study, I used the comparative, computational, constructive, and statistical analysis methods. Results. The article reveals key factors in the growth of the Chukotka Autonomous Okrug's gross regional product and the economic challenges to the region. As well, the article considers and proposes some possible options for further socio-economic development of the Okrug. Conclusions. The Okrug's current socio-economic problems are caused by not objective reasons only, but subjective factors, as well.

Identification of key factors affecting the water pollutant concentration in the sluice-controlled river reaches of the Shaying River in China via statistical analysis methods

2015 ◽  
Vol 17 (8) ◽  
pp. 1492-1502
Author(s):  
Ming Dou ◽  
Yan Zhang ◽  
Qiting Zuo ◽  
Qingbin Mi
Keyword(s):  
Statistical Analysis ◽  
Environmental Factors ◽  
Pollutant Concentration ◽  
Key Factors ◽  
Factors Affecting ◽  
Analysis Methods ◽  
Water Pollutant ◽  
Strong Disturbance ◽  
Statistical Analysis Methods

The construction of sluices creates a strong disturbance in water environmental factors within a river.

scholarly journals Scenario modelling of the impact of the dynamics of public debt on the gross regional product of Russian regions

2021 ◽  
Vol 25 (6) ◽  
pp. 68-84
Author(s):  
I. V. Naumov ◽  
N. L. Nikulina
Keyword(s):  
Economic Development ◽  
Regression Analysis ◽  
Public Debt ◽  
Methodological Approach ◽  
Panel Regression ◽  
Gross Regional Product ◽  
Russian Regions ◽  
The Public ◽  
Socio Economic Development ◽  
Regional Product

The subject of this research is public debt and its impact on the dynamics of the gross regional product (GRP) of Russian regions. The aim of the paper is to study and scenario forecast the dynamics of changes in the internal public debt of Russian regions and model its impact on the gross regional product. The relevance of the study is due to the fact that most regions in Russia are forced to increase their internal public debt to cover the budget deficit and attract additional resources to solve important problems of socio-economic development and implement strategic projects and programs. The scientific novelty of the research consists in the development of a methodological approach to modelling and scenario forecasting of the level of GRP of different groups of regions, taking into account the dynamics of changes in their public debt using ARIMA modelling methods and panel regression analysis. The authors apply the methods of panel regression analysis and ARIMA modelling. The authors theoretically substantiated that public debt has a different effect on the GRP of Russian regions, grouped the regions according to the identified trends in the dynamics of public debt (the first group — regions with the dynamics of debt reduction over the period from 2005 to 2019, the second group — with the all-Russian trend of debt reduction since 2017, and the third group — with the dynamics of increasing debt over the period under review); developed a methodological approach to modelling and scenario forecasting of the GRP level of the Russian regions, taking into account the dynamics of changes in their public debt; carried out ARIMA forecasting of the dynamics of the public debt of different groups of regions and built regression models of the influence of the dynamics of the public debt on the GRP of Russian regions within the selected groups; formed forecast scenarios for changes of the GRP level of regions, taking into account the identified dynamics of transformation of their internal public debt. Conclusions: public debt has a negative impact on the dynamics of the GRP of Moscow and the Moscow region and a positive effect on the dynamics of the GRP of the regions of the second and third groups. The findings of the study may be used by the federal and regional executive authorities to find ways to reduce public debt and increase the level of socio-economic development of territories.

scholarly journals The regions of Russia: specifics of socio-economic development

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Tat’yana Pozdnyakova
Keyword(s):  
Economic Development ◽  
Russian Federation ◽  
Federal District ◽  
Federal State ◽  
Gross Regional Product ◽  
Socio Economic Development ◽  
Federal Districts ◽  
The Russian Federation ◽  
Per Capita ◽  
Regional Product

The Federal District, as the highest link in the economic zoning of the Russian Federation, is the most important element of the national economic system, which largely determines the features of its functioning. The article provides an overview of the internal differences of the federal districts of the Russian Federation in terms of gross regional product. This indicator is one of the most important indicators of the specificity of the socio-economic development of the regions, and also, to a certain extent, reflects the possibility of their balanced functioning. Based on the official data presented on the website of the Federal State Statistics Service, the federal districts of Russia were ranked according to the indicator under study and their typology was presented. Within the framework of this typology, groups are identified that reflect the differences between the constituent entities of the Russian Federation in the distribution of gross regional product per capita in federal districts with its value above or below the average Russian level, respectively. Within each federal district, entities with maximum and minimum values of gross regional product per capita were identified. On this basis, an intra-district imbalance coefficient is calculated, reflecting the degree of the gap in the levels of socio-economic development of the constituent entities of the Russian Federation within the corresponding federal district. A brief description of the federal districts belonging to two different types is given in terms of the balance of their socio-economic development. The general trend of dependence of the coefficient of intra-district imbalance on the level of regional development is shown. There are some features that need to be taken into account when formulating development programmes and strategies at the federal district gape.

RISK FACTORS FOR THE DEVELOPMENT OF INITIAL MANIFESTATIONS OF ATHEROGENIC CARDIOVASCULAR DISEASES IN PERSONNEL OF CHEMICALLY HAZARDOUS FACILITIES

2017 ◽  
pp. 2-7 ◽  
Author(s):  
V. A. Gorichny ◽  
D. Yu. Serdukov ◽  
A. V. Yazenok ◽  
A. V. Nosov ◽  
G. G. Zagorodnikov ◽  
...  
Keyword(s):  
Risk Factors ◽  
Statistical Analysis ◽  
Cardiovascular Diseases ◽  
Organophosphorus Compounds ◽  
Atherogenic Dyslipidemia ◽  
Chemical Weapons ◽  
Analysis Methods ◽  
High Incidence ◽  
And Control ◽  
Statistical Analysis Methods

An outpatient examination of 530 employees engaged in work with chemical weapons related to organophosphorus compounds at chemically hazardous facilities was carried out. Risk factors for the development of cardiovascular diseases of atherogenic etiology among personnel of the facilities were studied in relation to the type of work performed using statistical analysis methods. When assessing the lipidogram, a high incidence of atherogenic dyslipidemia in a group of personnel involved in the storage of chemical weapons was found out in comparison with a group of people engaged in the destruction and control of chemical weapons (73.1 vs 61.2 vs 59.6%, p

scholarly journals Quantification and Statistical Analysis Methods for Vessel Wall Components from Stained Images with Masson's Trichrome

PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0146954 ◽  
Author(s):  
Pablo Hernández-Morera ◽  
Irene Castaño-González ◽  
Carlos M. Travieso-González ◽  
Blanca Mompeó-Corredera ◽  
Francisco Ortega-Santana
Keyword(s):  
Statistical Analysis ◽  
Vessel Wall ◽  
Analysis Methods ◽  
Wall Components ◽  
Statistical Analysis Methods

INTERREGIONAL COOPERATION IN THE FIELD OF SOCIO-ECONOMIC DEVELOPMENT (ON THE EXAMPLE OF THE PARTICIPANTS OF THE COMPLEX INVESTMENT PROJECT “YENISEI SIBERIA”)

2020 ◽  
Vol 6 (12) ◽  
pp. 136-140
Author(s):  
V. T. LYKTAN ◽  
◽  
S. P. MONGUSH ◽  
Keyword(s):  
Economic Development ◽  
Statistical Analysis ◽  
Investment Project ◽  
Investment Projects ◽  
Effective Implementation ◽  
Multiplicative Effect ◽  
Socio Economic Development ◽  
Interregional Cooperation

The aim of the work is to study the aspects of interregional cooperation in the formation of the complex investment project “Yenisei Siberia”. Methods of statistical analysis were used – dynamics, comparison, grouping. The article provides an overview of the main socio-economic differences between the participants of interactions. Minimizing these differences will create conditions for the effective implementation of investment projects that provide a multiplicative effect in the development of the project territories.

ASSESSMENT OF THE ACTIVATOR OF SOCIO-ECONOMIC DEVELOPMENT OF THE REGION

2021 ◽  
Vol 3 (12) ◽  
pp. 27-34
Author(s):  
Liana E. Kabisova ◽  
◽  
Noemi A. Mardeyan ◽  
Zarina E. Tarkhanova ◽  
Batraz E. Bagaev ◽  
...  
Keyword(s):  
Economic Development ◽  
Regional Level ◽  
Economic Situation ◽  
Direction Vector ◽  
Key Factors ◽  
Factors Influencing ◽  
Socio Economic Development ◽  
The Future ◽  
Effectiveness And Efficiency

The article identifies the key factors influencing the activity of the socio-economic development of the region. The dynamics of this factor is analyzed. The indicator is investigated for the sufficiency and validity of the application, as well as for the effectiveness and efficiency with the designation of the direction vector, forecast, assessment for the future use of this leverage, to improve the economic situation at the regional level.

Statistical analysis methods for transient flows – the dam-break case

2018 ◽  
Vol 57 (5) ◽  
pp. 688-701 ◽  
Author(s):  
Rui Aleixo ◽  
Sandra Soares-Frazão ◽  
Yves Zech
Keyword(s):  
Statistical Analysis ◽  
Dam Break ◽  
Transient Flows ◽  
Analysis Methods ◽  
Statistical Analysis Methods
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