scholarly journals REASONS OF THE PRIORITIES OF ECONOMIC POLICY BASED ON THE STRUCTURAL ANALYSIS OF GROSS REGIONAL PRODUCT(IN THE CASE STUDY OF PERM KRAI)

2017 ◽  
Vol 12 (1) ◽  
pp. 91-109 ◽  
Author(s):  
Tatyana V. Miroliubova ◽  
◽  
Ekaterina N. Voronchikhina ◽  
Keyword(s):  
Economic Policy ◽  
Structural Analysis ◽  
Gross Regional Product ◽  
Perm Krai ◽  
Regional Product

Assessment of contribution by corporate structures of the construction business to the economic development of territories

2020 ◽  
Vol 22 (5) ◽  
pp. 45-50
Author(s):  
SERGEY V. RAEVSKY ◽  
◽  
LYUBOV A. BELYAEVSKAYA-PLOTNIK ◽  
ANDREY A. ROMASHIN ◽  
◽  
...  
Keyword(s):  
Economic Policy ◽  
Economic Development ◽  
Regression Models ◽  
Value Added ◽  
Gross Regional Product ◽  
Effective Management ◽  
Regional Administration ◽  
Regional Product ◽  
The Right ◽  
Selection Of

The article considers the development of methodology for assessing the contribution of corporate structures of the construction business to the economic development of territories. In the article, a specific theoretical approach is used, i. e. when choosing the instruments of regional administration, it is required to use precisely those, which with a minimum impact will lead to maximum effectiveness. When working on this hypothesis, appropriate estimates are used to assess the contribution of large corporate structures of the construction business to the creation of the Gross Regional Product with the usage of correlation- regression models. The adoption of effective management decisions to a large extent depends on the selection of the right areas of impact on those types of businesses that form the largest share of value-added. This approach allows us to highlight the tools to support the corporate structures of the construction business in developing the economic policy of the region.

scholarly journals Modified localization coefficients for cluster processes identification: a comparative analysis (case study: the Russian rye sector)

2020 ◽  
Vol 161 ◽  
pp. 01008
Author(s):  
O V Kostenko
Keyword(s):  
Comparative Analysis ◽  
Winter Rye ◽  
Gross Regional Product ◽  
Regional Product ◽  
Cluster Processes

The paper presents the results of the identification of agrarian clusters. Research is done in connection with the rye sector of Russia taken as a case study. The localization coefficients were calculated from the gross yield of winter rye grain. Two variants of calculating coefficients were compared – in proportion to the indicators of the gross regional product and employment statistics. Studies have shown that the coefficients in proportion to the gross regional product are more sensitive and allow a more subtle diagnosis of cluster processes. Localization coefficients in proportion to employment statistics are a more stringent method for identifying clusters.

scholarly journals Modeling of the relationship between gross regional product, labor force, and employment: The Lipetsk Oblast case study

2020 ◽  
Vol 18 (5) ◽  
pp. 870-890 ◽  
Author(s):  
E.I. Kozlova ◽  
M.A. Novak ◽  
M.Yu. Karlova
Keyword(s):  
Multiple Regression ◽  
Linear Models ◽  
Linear Equations ◽  
Gross Regional Product ◽  
Labor Costs ◽  
Correlation And Regression Analysis ◽  
Forecast Models ◽  
Regional Product ◽  
The Relationship

Subject. This article discusses the prospects for growth of Russia and its regions' economies. Objectives. The article aims to identify causal relationships between gross regional product as the main economic growth indicator of a particular region and labor costs. Methods. For the study, we used a correlation and regression analysis. Results. The article presents trend forecast models and linear equations of multiple regression. It finds that all capital factors have a stronger impact on public product of the Lipetsk Oblast than the labor ones. Regarding labor factors, only the average per capita income of the population has a direct impact on the formation of the Lipetsk Oblast's GRP. Conclusions. The identified relationships between the Lipetsk Oblast's GRP and exogenous variables help define the hierarchy of linear models that provide extensive analytical information on the formation of the Lipetsk Oblast's GRP. In linear models, there is no significant relationship between the changes in the working population of the Oblast and the regional product. To adequately describe the dynamics of the Lipetsk Oblast's GRP, it makes sense to apply a set of linear models of multiple regression.

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.

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