scholarly journals Application of Kohonen networks for clustering of the Zachodniopomorskie Voivodeship districts in terms of the level of socio-economic development

2020 ◽  
Vol 64 (9) ◽  
pp. 100-118
Author(s):  
Joanna Perzyńska
Keyword(s):  
Neural Networks ◽  
Cluster Analysis ◽  
Economic Development ◽  
Statistical Data ◽  
Multidimensional Analysis ◽  
Diagnostic Features ◽  
Self Organizing Maps ◽  
Socio Economic Development ◽  
Kohonen Networks ◽  
Theoretical Considerations

The author presents the possibilities of using artificial neural networks in a multidimensional analysis – cluster analysis. The empirical example using districts of the Zachodniopomorskie (West Pomeranian) Voivodeship is the illustration of theoretical considerations. The study used statistical data from many areas related to socio-economic development: demography, labour market, natural environment, recreation, culture, social and technical infrastructure, and the economy. The aim of the study was to divide the voivodeship into disjointed typological groups of districts using Kohonen networks (Self-Organizing Maps). Several networks differing in structure of the output layer were constructed and trained. Selected diagnostic features of socio-economic development of districts were their input values. Using verified Kohonen networks, various sets of groups of the researched objects were created, and confirmed them are a useful tool for identifying clusters of districts similar to each other in terms of the level of socio-economic development.

scholarly journals APPLICATION OF THE TOPSIS PROCEDURE FOR EVALUATION OF SOCIO-ECONOMIC DEVELOPMENT OF THE WEST POMERANIAN VOIVODESHIP DISTRICTS IN YEARS 2004-2017

2020 ◽  
Vol 49 (49) ◽  
Author(s):  
Maciej Oesterreich ◽  
Joanna Perzyńska ◽  
Emilia Bareja-Kaczmarek
Keyword(s):  
European Union ◽  
Economic Development ◽  
Empirical Study ◽  
Diagnostic Value ◽  
The European Union ◽  
The West ◽  
Diagnostic Features ◽  
Socio Economic Development ◽  
Modified Topsis ◽  
Theoretical Considerations

The article presents the problem of local socio-economic development. An illustration of theoretical considerations is an empirical study on evaluation of the West Pomeranian Voivodship districts' development since Poland's accession to the European Union. In the research, a taxonomic measure of development was used to assess the level and rate of districts' development. The empirical study was carried out in four main stages: collection of initial characteristics, reduction of the initial set of diagnostic features (to ensure their highest diagnostic value), calculations of synthetic measures using the modified TOPSIS procedure and construction of rankings of districts on that basis, creation of typological groups of districts characterized by a similar level and the pace of development. The study showed the existence of large diversification of economic development of the surveyed districts. The highest level of socio-economic development in both: 2004 and 2017 was characteristic for the Kamieński district and the lowest level of development in 2004 was observed in the Wałecki district and in 2017 in the Gryficki district. The highest pace of changes in the level of socio-economic development between 2004 and 2017 was recorded for the Białogardzki district, while the lowest for the Świdwiński district.

Budgeting in Socio-economic Development Strategies (Raising a Problem)

2008 ◽  
pp. 134-151
Author(s):  
A. Shastitko ◽  
M. Ovchinnikov
Keyword(s):  
Economic Policy ◽  
Economic Development ◽  
Social Change ◽  
Eastern Europe ◽  
Statistical Data ◽  
Sufficient Conditions ◽  
Transitional Period ◽  
Socio Economic Development ◽  
Necessary And Sufficient ◽  
Economic Development Strategies

The article proposes an approach to the analysis of social change and contributes to the clarification of concepts of economic policy. It deals in particular with the notion of "change of system". The author considers positive and normative aspects of the analysis of capitalist and socialist systems. The necessary and sufficient conditions for the system to be changed are introduced, their fulfillment is discussed drawing upon the historical and statistical data. The article describes both economic and political peculiarities of the transitional period in different countries, especially in Eastern Europe.

Assessment of the influence of the spatial environment on the socio-economic development of the municipality

2019 ◽  
Vol 40 (3) ◽  
pp. 148-155
Author(s):  
K. N. Yusupov ◽  
V. M. Timiryanova, ◽  
Iu. S. Toktamysheva ◽  
A. F. Zimin,
Keyword(s):  
Economic Development ◽  
Socioeconomic Development ◽  
Statistical Data ◽  
Geographical Location ◽  
Integrated Approach ◽  
The State ◽  
Municipal District ◽  
Socio Economic Development ◽  
Spatial Environment ◽  
The Impact

The article presents a methodology for assessing the impact of spatial environment on the socioeconomic development of municipalities. It relies on existing tools for assessing the state and potential of the geographical location of municipalities. An integrated approach allows to determine the potential of the interaction of the municipality with the neighbors of the first and second order. The methodology was tested on statistical data on the Blagovarsky municipal district.

ANALYSIS OF THE PROBLEMS OF EXISTING MECHANISMS TO STIMULATE FINANCING OF «GREEN» PROJECTS

2020 ◽  
Vol 5 (10) ◽  
pp. 64-68
Author(s):  
A. M. SAMIDOV ◽  
Keyword(s):  
Economic Development ◽  
Statistical Data ◽  
The World ◽  
Socio Economic Development ◽  
Different Levels

The article analyzes the problems of existing mechanisms to stimulate financing of «green» projects. Statistical data on financing of «green» projects in the world and in Russia presented. Criteria and standards for financing «green projects», financing problems in regions with different levels of socio-economic development, and so on are considered.

scholarly journals Internal conditions of mountain rural areas in Poland development through tourism

2012 ◽  
Vol 60 (2) ◽  
pp. 493-498
Author(s):  
D. Chudy-Hyski ◽  
Michał Żemła
Keyword(s):  
Economic Development ◽  
Rural Areas ◽  
Local Communities ◽  
Diagnostic Features ◽  
Mountain Areas ◽  
Cultural Conditions ◽  
Tourism Product ◽  
Socio Economic Development ◽  
Internal Character ◽  
Geographical Economic

Mountain areas in Poland constitute a special territory with respect to physico-geographical, economic and social aspects. There are specific environmental, economic and cultural conditions, which on one hand restrain and on the other provide chances of these areas development. Environmental conditions involve higher economic costs mainly in agriculture but also in other fields, such as construction or transportation. Other characteristics of these areas include landscape values which just through development of tourism can at least partially recompense the local communities the limited opportunities of gaining incomes. Thus increasing the competitiveness of the tourism product of mountain areas in line with principles of sustainable development remains among the basic topics concerned by local, regional and national authorities, when dealing with socio-economic development of those areas.In order that an individual commune may use tourism as a driving force for local socio-economic development, in the first place there must be conditions favourable for practising various forms of tourism (bases for starting and then intensifying the tourist movement are necessary prerequisites), secondly opportunities must be opened up for creating various enterprises connected with tourism and providing services for tourists, and capable of meeting increased needs of local communities. Conditions (factors) determining mountain communes predisposition for undertaking and realisation of development through tourism may be either of external or internal character.A detailed analysis was conducted in the paper only on the internal conditions. These conditions were analysed considering their diversified character, which was presented as identification of partial conditions, i.e. infrastructural, economic, environmental (natural and anthropogenic) and social conditions characterised by individual diagnostic features.

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 Development Trajectories of Small Towns in East Slovakia

2016 ◽  
Vol 8 (4) ◽  
pp. 373-394 ◽  
Author(s):  
Ladislav Novotný ◽  
Stela Csachová ◽  
Marián Kulla ◽  
Janetta Nestorová-Dická ◽  
Loránt Pregi
Keyword(s):  
Economic Development ◽  
Statistical Data ◽  
Small Towns ◽  
Settlement System ◽  
Specific Group ◽  
Socio Economic Development ◽  
Economic Developments ◽  
Development Trajectories

Abstract Small towns, compared to larger cities, are specific group of municipalities with weaker performance in many spheres of socio-economic development. The aim of the paper is to comprehensively evaluate development of twelve small towns in the region of East Slovakia over the centuries up to present. The paper deals with question how their demographic and economic developments have been reciprocally influenced under particular historical circumstances. Using various sources of statistical data and employing traditional historical, mathematical-statistical and cartographical methods, regularities and patterns were identified that enabled us to categorize small towns and evaluate their development trajectories and current roles in the settlement system. In the most cases, they are still valid nodes for their hinterlands even though their past situation has been unfavourable.

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 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.

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.

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