Analyzing the "Strategy of Socio-Economic Development of the Chuvash Republic until 2035" content

2021 ◽  
Vol 20 (2) ◽  
pp. 299-324
Author(s):  
Valerii V. SMIRNOV
Keyword(s):  
Neural Network ◽  
Cluster Analysis ◽  
Economic Development ◽  
Growth Rates ◽  
Systems Approach ◽  
Cultural Institutions ◽  
Socio Economic Development ◽  
Chuvash Republic ◽  
Number Of Visits ◽  
And Cluster Analysis

Subject. The article addresses a strategy for socio-economic development of the region. Objectives. The purpose is to define contradictions and opportunities to achieve the expected results of the "Strategy of Socio-economic Development of the Chuvash Republic until 2035". Methods. The study rests on the systems approach, using the methods of statistical, neural network, and cluster analysis. Results. The statistical analysis of trends in expected outcomes of the Strategy implementation enabled to build a median hierarchy of their growth rates, where the indicator of an increase in the number of visits to cultural institutions is a priority in setting the goals for the region’s development. The neural network analysis demonstrates the importance of the growth rate of real accrued wages of employees of organizations and the insignificant value of the increase in the number of visits to cultural institutions for effective achievement of all objectives of the Strategy. The cluster analysis shows the importance of growth rates of indicators of the proportion of organizations engaged in technological innovations, and the proportion of shipped innovative products. The analysis of growth rates of GRP and expenditures of the consolidated budget of the Chuvash Republic reveals a decrease in the cyclical lag of the first dynamic pattern from the second one. Conclusions. For the Chuvash Republic, a strategic priority is to overcome the GRP growth limit through the innovative development of backbone areas of economic activity.

scholarly journals Statistical analysis of the social and economic development of Ukrainian regions

2020 ◽  
pp. 15-18
Author(s):  
Olena POSHYVALOVA ◽  
Polina PROSHKINA
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Regression Model ◽  
Economic Condition ◽  
The State ◽  
Reliable Estimate ◽  
Socio Economic Development ◽  
Feature Values ◽  
And Cluster Analysis ◽  
Integral Indicator

The issue of the country's socio-economic development and analysis of its dynamics arises within the context of the transition to a market economy. The aim of the research is to consider the state of socio-economic development of the regions of Ukraine on the basis of the generalized multicriteria indicator, cluster analysis, as well as the multidimensional nonlinear regression model. To trace the presence of differentiation in the socio-economic development of the regions of Ukraine is especially important. The analysis implemented in the Thesis covers the widest range of indicators of the socio-economic condition of the regions of the country. An integral indicator of the socio-economic condition of the subjects of Ukraine has been offered as the main characteristic. The state statistical data have been used to construct a generalizing indicator. Ranking, as well as clustering of the country regions according to the selected indicators, makes it possible to more accurately determine which of them are the most developed. A multidimensional nonlinear model for forecasting the level of income of the Ukrainian population has been constructed on the basis of correlation and regression analysis. Conducting a comparative assessment of the socio-economic development of Ukrainian regions using integral indicator methods and cluster analysis, made it possible to identify a group of regions of Ukraine with a similar combination of feature values, as well as to determine the place and role of each of them in the national economy. This is of great importance for the development of the most crucial target programs for the economy, investment directions, and state support of lagging regions. The correlation regression model constructed has made it possible to identify the factors of the greatest impact on the change of population income levels, to determine the absolute and relative influence of the factors on the output indicators, and also to provide a reliable estimate of the future level of the output indicator, taking into account various conditions of the country's socio-economic development.

scholarly journals Evaluation and Analysis of Socio-Economic Development Level and Management in Guangxi province of China

2021 ◽  
Vol 39 (5) ◽  
Author(s):  
Li Zongkeng ◽  
Li Zhuoran ◽  
Andrii Mykhailov ◽  
Wei Shi ◽  
Yang Zhuquan ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Method ◽  
Development Level ◽  
Socio Economic Development ◽  
Cluster Analysis Method ◽  
And Cluster Analysis

This article takes 14 regions in Guangxi as the research object, selects ten indicators that can measure the level of socio-economic development, establishes an index system for evaluating the regional socio-economic development level of Guangxi regions, and uses principal component analysis method and cluster analysis method carry out comprehensive evaluation and difference analysis among the economic development level of Guangxi regions. First, the primary component analysis method uses to comprehensively evaluate the economic development level of 14 regions in Guangxi. The results show that there are vast differences in the economic development levels of regions in Guangxi. Secondly, a systematic cluster analysis method uses to classify and analyze the differences between regions according to the similarity of economic development status. Finally, combined with the results of principal component analysis and cluster analysis, comprehensive evaluation analysis and discussion on the economic development status of various regions in Guangxi, and based on the evaluation results, proposed countermeasures for the socio-economic development and management in Guangxi province of China.

Determining the conditions for sustainable development of the Russian economy

2020 ◽  
Vol 19 (11) ◽  
pp. 2093-2115
Author(s):  
V.V. Smirnov
Keyword(s):  
Neural Network ◽  
Cluster Analysis ◽  
Sustainable Development ◽  
Systems Approach ◽  
Political Stability ◽  
Russian Economy ◽  
Globalizing World ◽  
The Neural Network ◽  
Development Goals ◽  
And Cluster Analysis

Subject. The article addresses conditions for sustainable development of the Russian economy. Objectives. The purpose is to link the limit of sustainability of the Russian economy with required conditions. Methods. The study draws on the systems approach, using the methods of statistical, neural network, and cluster analysis. Results. I describe scientific ideas about sustainable development of economy, which have been developed in theoretical and practical activities. The World Bank data on environment, social affairs and governance on 17 key sustainable development topics, covering environmental, social and management categories, are used to determine conditions for sustainability of the Russian economy. The neural network analysis of the importance of indicators’ rate of increment shows a hierarchy of priorities. The cluster analysis of indicators’ rate of increment identifies significant clusters. The analysis of key priorities of sustainable development of the Russian economy enables to reveal significant deviations in political stability and in access to electricity. Conclusions. Conditions for sustainable development of the Russian economy are determined by their proximity to the United Nations Sustainable Development Goals. Identifying these conditions in the globalizing world creates an understanding of the real limit and opportunities of the country's development.

Analyzing the foreign trade competitiveness of the Chuvash Republic

2020 ◽  
Vol 16 (3) ◽  
pp. 478-495
Author(s):  
V.V. Smirnov ◽  
A.M. Mulendeeva
Keyword(s):  
Cluster Analysis ◽  
Foreign Trade ◽  
Systems Approach ◽  
Trade Flow ◽  
Seasonal Fluctuations ◽  
Russian Economy ◽  
Its Regions ◽  
Chuvash Republic ◽  
Trade Competitiveness ◽  
And Cluster Analysis

Subject. The article addresses the foreign trade competitiveness of the region. Objectives. The aims of the study are to investigate the efficiency of international trade of the Chuvash Republic; to conduct aggregated and segmented assessment of foreign trade competitiveness of the Chuvash Republic, and to provide recommendations for improving the trading performance. Methods. The study rests on the systems approach, using the statistical and cluster analysis. Results. We considered the current condition of the Russian economy, highlighted the main problems of its development, and substantiated the possibility of resolving them through increasing the efficiency of foreign trade at the level of the country and its regions. We performed an aggregated and segmented assessment of foreign trade competitiveness of the economy of the Chuvash Republic. It enabled to reveal strengths of importer countries in the general commodity turnover and seasonal fluctuations of exports. Our recommendations for improving foreign trade competitiveness rest on the cluster analysis of significant imports and exports. This analysis unveiled countries that contribute to turnover growth in the Chuvash Republic, as well as the main groups of commodities contributing to the balance of sales volume. Conclusions. To improve the competitiveness of foreign trade of the Chuvash Republic, it is crucial to increase the efficiency of trade flow, i.e. imports from Belarus and the Netherlands, and exports to Armenia and Lithuania.

Modeling the possibilities of entrepreneurship existence in the Chuvash Republic

2020 ◽  
Vol 16 (6) ◽  
pp. 1077-1100
Author(s):  
V.V. Smirnov
Keyword(s):  
Mathematical Modeling ◽  
Cluster Analysis ◽  
International Trade ◽  
Systems Approach ◽  
Economic Structure ◽  
Business Activity ◽  
Modeling Methods ◽  
Managerial Decisions ◽  
Chuvash Republic ◽  
And Cluster Analysis

Subject. This article analyzes the conditions for the existence of entrepreneurship and business undertakings in the Chuvash Republic. Objectives. The article aims to assess the possibilities of entrepreneurship existence in Chuvashia using mathematical modeling. Methods. For the study, I used a systems approach in the form of mathematical modeling of holistic changes in statistical and cluster analysis results. Results. The article explains the basis of business activity as self-movement, caused by economic contradictions. Conclusions and Relevance. The opportunities for entrepreneurship in Chuvashia are due to the potential and conditions of overcoming the economic structure limits, which become obvious in international trade. The results of the study extend the scope of knowledge, and form new competencies for making managerial decisions to ensure the existence and development of entrepreneurship in lagging regions.

The analysis of the self-evolution of the Russian educational system

2021 ◽  
Vol 17 (4) ◽  
pp. 758-780
Author(s):  
Valerii V. SMIRNOV
Keyword(s):  
Neural Network ◽  
Cluster Analysis ◽  
Educational System ◽  
Growth Rates ◽  
Systems Approach ◽  
Social Reality ◽  
World Order ◽  
The Self ◽  
Russian Society ◽  
The Social

Subject. The article focuses on the self-motion of the Russian educational system. Objectives. The study determines directions of the self-evolution of the Russian educational system and shows the outcome. Methods. The study is based on the systems approach and statistical, neural network and cluster analysis. Results. I indicate what impedes the evolution and development of the Russian educational system. As a result of the neural network analysis of growth rates of the self-evolution of the Russian educational system and World Bank data, I figured out the hierarchy of material indicators of its structure. The hierarchy of the material indicators is declarative of the feminization of the Russian educational system in terms of its self-evolution, and the prevalence of women in the social reality. As a result of the cluster analysis of growth rates in the self-evolution of the Russian educational system, I revealed the cause of the feminization. Having analyzed growth rates of the self-evolution of the Russian educational system and referring to data of UNESCO Institute of Statistics, I completed a view of the future development of the Russian educational system. The self-evolution of the Russian educational system was found to have negative effects, such as a considerably slowed down growth in the number of younger schoolchildren and pre-school children, significantly lagging growth rates of governmental spending on education out of total governmental expenditures. Conclusions and Relevance. As the education system gets more and more important in the emerging world order, it is strategic for the national security. We witness the apparent feminization of the self-evolution of the Russian educational system, which changes principles of social development, paving the way to the predominance of women in the social reality. As the principles of the Russian society development change due to the feminization of the self-evolution of the Russian educational system, the uncertainty of its future existence grows even greater. The findings contribute to the required level of competence of governmental authorities to make administrative decisions that may save the Russian educational system.

Comparison of neural network and cluster analysis techniques for the reliability of high-speed machinery

1995 ◽  
Author(s):  
Colin P. Matthews ◽  
J. Y. Clark ◽  
Paul M. Sharkey ◽  
K. Warwick
Keyword(s):  
Neural Network ◽  
Cluster Analysis ◽  
High Speed ◽  
Analysis Techniques ◽  
And Cluster Analysis

scholarly journals Innovation and investment potential of region as a factor of its "smart transformation" – a case study of Kharkiv region (Ukraine)

2018 ◽  
Keyword(s):  
Cluster Analysis ◽  
Economic Development ◽  
Influence Factor ◽  
City Development ◽  
Investment Activity ◽  
Socio Economic Development ◽  
Comprehensive Development ◽  
Territorial Differentiation ◽  
Content Factor ◽  
The City

Formulation of the problem. Kharkiv region has recently been increasingly positioned as a "smart region" and Kharkiv as a "smart city". Moreover, the emergence of "smart economy" and the availability of people with jobs is one of the strategic objectives for the city development by 2020. The formation of Kharkiv region as an "intelligent region" with "smart economy" implies, among other objectives, a comprehensive development of innovation and investment activities in the region, its transformation into a Ukraine's leading innovation and investment center. A mandatory condition of the region’s progressive socio-economic development is the economy of innovation type, which is impossible without investment. The purpose of the article is to analyze the innovation and investment potential of Kharkiv region as a factor of its smart transformation, to identify the features of its formation and use in the aspect of the formation of Kharkiv region as a "smart-region". Results. In this paper positioning of Kharkiv region and the city of Kharkiv as a smart region has been defined. The key goals and objectives of development towards a "smart economy", as well as basic factors of becoming "intelligent (smart) economy" are given. The authors analyze innovation and investment potential of Kharkiv region as a factor of its smart transformation; reveal the features of its formation and use in terms of Kharkiv region’s formation as a "smart-region". The place of Kharkiv region in the national dimension was determined according to individual indicators of innovation and investment activity and, in general, according to the innovation and investment potential with the help of the mathematical and statistical analysis. In particular, it is noted that Kharkiv region occupies the 2nd place in Ukraine in terms of the integral indicator of the formation and use of innovation and investment potential yielding only to Kyiv. According to the results of factor analysis, the factors of formation and use of innovation and investment potential of the Kharkiv region (socio-economic, resettlement, housing and trade and socio-demographic), their content (factor loadings) and intraregional peculiarities of influence (factor scales) were substantiated. Using a cluster analysis (Ward’s method, Euclidean distance), grouping of cities and districts of Kharkiv region was conducted based on the similarity of their innovation and investment activities (4 groups of cities and 5 groups of districts were identified). The results of cluster analysis made it possible to conclude that Kharkiv region is characterized by considerable territorial differentiation of the peculiarities of the formation and use of the innovation and investment potential of its administrative and territorial units, which is primarily due to the specifics of their socio-economic development. The undisputed leaders are the city of Kharkiv and Kharkivsky and Dergachivsky counties, which are characterized by the highest investment attractiveness and innovative activity, and in general, the largest innovation and investment po-tential. Thus, clustering allowed defining the features of innovation and investment potential in territorial distribution of the region, identifing problems and outline prospects for further use of the region’s available resources.

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