scholarly journals Cluster analysis of border areas in the southern part of Siberia

2021 ◽  
Vol 885 (1) ◽  
pp. 012046
Author(s):  
T M Oydup ◽  
S A Chupikova
Keyword(s):  
Cluster Analysis ◽  
Comparative Analysis ◽  
Social Economic ◽  
Border Region ◽  
Multidimensional Data ◽  
Subsistence Level ◽  
Border Regions ◽  
Problem Situations ◽  
The Status ◽  
And Cluster Analysis

Abstract The purpose of the work is to carry out a comparative analysis of the location of the regions, to determine the location and status of each border region, to identify the constituent entities of the Russian Federation with the similar position and problem situations. The present work solved the problem of multidimensional data classification using the grouping method and cluster analysis. We conducted a comparative analysis of the regions using three criteria: social, economic and territorial. The following indicators were used: for the social criterion – the ratio of average per capita income to the subsistence level; for economic – the level of real fiscal security; for territorial – population density (people/km2). The method of cluster analysis was applied, and a dendrogram was constructed for the border regions of Southern Siberia in order to present the data in a visual form. Determining the status of a region according to three criteria gives an advantage over the traditional types of ranking and groupings from viewpoint of the objectivity of determining the rating position of a region, analysis of current social-economic problems.

The position of borderline areas of Southern Siberia in socio-economic ratings of the Russian regions

2021 ◽  
Vol 17 (7) ◽  
pp. 1277-1295
Author(s):  
Tana M. OIDUP ◽  
Yurii G. POLULYAKH ◽  
Svetlana A. CHUPIKOVA
Keyword(s):  
Cluster Analysis ◽  
Methodological Approach ◽  
Three Dimensions ◽  
Subsistence Level ◽  
Southern Siberia ◽  
The Social ◽  
The Status ◽  
Geographical Position ◽  
Spatial View ◽  
And Cluster Analysis

Subject. The article discusses the position of borderline areas of Southern Siberia in terms of the socio-economic development and geographical position. Objectives. We perform the comparative analysis of the regions’ position, determine the place and status of each borderline area, find identical regions in Russia in terms of the economic situation and difficulties. Methods. The study addresses the multivariate classification of data through the method of grouping and cluster analysis. Results. We suggest using the methodological approach to determining the status of the regions from three dimensions, i.e. social, economic and geographical, and apply some indicators, such as the ratio of average income per capita and the subsistence level for the social view, the real fiscal capacity for the economic view, and the density of the population (man per km2) for the spatial view. To present the data conveniently and clearly, we conducted the cluster analysis, set the dendrogram of the borderline areas of Southern Siberia. Conclusions. Determining the regions’ status by three anchors is more beneficial than traditional types of ranking and grouping, since it provides an unbiased view of the region, helps analyze the current socio-economic difficulties.

scholarly journals Small-pelagic Small-pelagic fisheries management strategic using ecosystem approach at Belu Regency, East Nusa Tenggara

2020 ◽  
Vol 10 (3) ◽  
pp. 446-460
Author(s):  
Beatrix Maureen Rehatta ◽  
Mohammad Mukhlis Kamal ◽  
Mennofatria Boer ◽  
Achmad Fahrudin ◽  
Zairion
Keyword(s):  
Strategic Management ◽  
Fisheries Management ◽  
Social Economic ◽  
Ecosystem Approach ◽  
Border Regions ◽  
Fish Resources ◽  
Timor Leste ◽  
The Status ◽  
Tactical Decisions ◽  
Pelagic Fisheries

Study on small-pelagic fisheries in the border regions between Indonesia - Timor Leste has taken place in Belu District, East Nusa Tenggara. It was aimed to assess the status of small pelagic management and formulate the strategic and tactical steps for implementing sustainable fisheries management. The study site took place at four villages at the sub-district of Tasifeto Timur and Kakuluk Mesak. Data were collected through interview techniques, observation, and measurement of 30 indicators from six domains of EAFM, ecosystem approach to fisheries management, of which assessment of each indicator within each domain was conducted and presented into the flag model.  Based on that results, tactical decisions and strategic planning were formulated. The results showed that small-pelagic fisheries management in Belu classified as a fairly medium category. Domain fish resources and fishing technology classified as a good category and domain habitat and ecosystem, social, economic and institution are classified as a medium category. To improve small-pelagic fisheries management in Belu District, several indicators are recommended for improvement in form of tactical and strategic management decisions

scholarly journals Concept “humour” in the linguistic consciousness of the Russian-speaking population of Ukraine

2020 ◽  
Vol 8 (1) ◽  
pp. 29
Author(s):  
Iuliia Kobzieva ◽  
Iia Gordiienko-Mytrofanova ◽  
Maryna Udovenko ◽  
Serhii Sauta
Keyword(s):  
Cluster Analysis ◽  
Comparative Analysis ◽  
Young People ◽  
Stimulus Word ◽  
Gender Identification ◽  
Main Method ◽  
Cognitive Component ◽  
Ideal Image ◽  
Males And Females ◽  
And Cluster Analysis

The purpose of this study was to define and to describe the semantic components of the stimulus word humour in the linguistic consciousness of young Russian-speaking people from Eastern Ukraine. The main method of the research was a psycholinguistic experiment. The sample comprised 400 young people (aged 20-31), males and females being equally represented. The experiment proved that the concept humour in the linguistic consciousness of the Russian-speaking population of Ukraine is represented by four core semantic clusters: “laughter,” “joke,” “merry-making/joy” and “show.” Analysis of female and male associative fields shows that the semantic core of the word humour does not depend on the respondents’ gender identification. The results of frequency and cluster analysis have implied a number of the following conclusions. Firstly, humour and laughter form an inseparable unity of stimulus and reaction in the linguistic consciousness of respondents, although the psychological paradigm considers humour and laughter as two independent phenomena. Secondly, the cognitive component of humour was only reflected in the peripheral cluster “mind” of respondents’ associations. Thirdly, young Russian-speaking people from Ukraine do not have an ideal image of humour represented by a certain comedy show or relevant to any specific comedians. The generalised visualisation of humour is represented by reactions of the extreme periphery. Finally, comparative analysis of the verbalised concept humour in the linguistic consciousness of Russian-speaking population of Ukraine and people who live in Russia did not reveal any national-specific features in the perception of stimulus humour.

scholarly journals Comparative Analysis of Regional Competitiveness in Poland from 2010–2019 in the Context of the Concept of Sustainable Development

2021 ◽  
Vol 13 (6) ◽  
pp. 3202
Author(s):  
Katarzyna Chrobocińska
Keyword(s):  
Cluster Analysis ◽  
Sustainable Development ◽  
Comparative Analysis ◽  
Spatial Disparity ◽  
Regional Competitiveness ◽  
Competitive Position ◽  
Complex Process ◽  
And Cluster Analysis ◽  
Stimulation Of

The stimulation of regional competitiveness is a difficult and complex process that leads to the achievement of a competitive position against other regions covered in the comparison. The study includes a comparative analysis taking into account the Regional Competitiveness Index (RCI) level of voivodeships in Poland in 2010–2019 and, as a supplement, a Multi-Dimensional Comparative Analysis and cluster analysis. This made it possible to select a group of voivodeships characterized by a stable and relatively highly competitive position compared to the rest (voivodeships: Mazowieckie, Śląskie, Wielkopolskie, and Dolnośląskie). The apparent spatial disparity in the competitiveness of Polish voivodeships may be a result of long-term socioeconomic processes (such as sparse urbanization and industrialization), the polarized growth of competition leaders and the adverse effects of such polarization, i.e., the draining of competitive potential (such as qualified staff) from neighboring voivodeships.

scholarly journals Transport Infrastructure and Political Factors as Determinants of Tourism Development in the Cross-Border Region of Bihor and Maramureş. A Comparative Analysis

2021 ◽  
Vol 13 (10) ◽  
pp. 5385
Author(s):  
Jan A. Wendt ◽  
Vasile Grama ◽  
Gabriela Ilieş ◽  
Andrey S. Mikhaylov ◽  
Sorin G. Borza ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Tourism Development ◽  
Transport Network ◽  
Border Region ◽  
Transport Infrastructure ◽  
Multiscale Approach ◽  
Political Factors ◽  
Border Regions ◽  
Cross Border ◽  
The Impact

This article follows two important interconnected aspects. On one hand, it investigates whether the political factors represented by the presence of ethnic minorities can be a catalyst for tourism development in cross-border regions, in addition to the development of transport infrastructure. On the other hand, it offers a comparative analysis and territorial diagnosis of the Bihor-Hajdú–Bihar and Maramureş–Zakarpattya cross border regions, analyzing the main tourist indicators and the advances made in the development of the transport infrastructure with a role in the development of tourism. The paper is based on desk and quantitative research involving national and regional statistic data. Research on the literature regarding Hungarian–Romanian and Romanian–Ukrainian borderland was also realized, in order to conduct comparative analysis useful to identify and evaluate the factors linked with tourism development. Using a multiscale approach, the objective is to determine if there is a correlation between the development of the transport network and the increase in tourist traffic. The results show that transport infrastructure plays a critical role in ensuring the connections of border regions. Although the two regions are contiguous, there is an obvious difference in cross-border traffic due to the presence of two different types of border. The transport network and tourism situation in Bihor has improved in the last years, especially under the impact of cross-border cooperation, but the accessibility remains relatively low. In Maramureş, the development of cross-border connections is based on cultural exchange, and less on economic relations. Transport accessibility is a strong point of the Hungarian–Romanian borderland and represents an obstacle for the development of tourism in the Romanian–Ukrainian borderland.

Typology of farming systems in brackishwater ponds in the Philippines.

2020 ◽  
Author(s):  
Xavier Irz ◽  
James R. Stevenson
Keyword(s):  
Cluster Analysis ◽  
Comparative Analysis ◽  
Principal Components ◽  
Farming Systems ◽  
The Philippines ◽  
Main Production ◽  
Components Analysis ◽  
And Cluster Analysis ◽  
Brackishwater Pond ◽  
Farm Types

Abstract To classify brackishwater pond farming systems in the Philippines, a farm-level survey in the two main production regions (Central Luzon and Western Visayas) produced input and data for principal components analysis and cluster analysis to generate a typology of farming systems. A solution of five farm types is described in detail and interpreted. The implications for comparative analysis of sustainability impacts are described.

scholarly journals Neighborhood Effect in Greater Eurasia: Spatial Autocorrelation and Cluster Analysis

2021 ◽  
Vol 37 ◽  
pp. 58-65
Author(s):  
I. Yu. Okunev ◽  
◽  
L. P. Shmatkova ◽  
Keyword(s):  
Cluster Analysis ◽  
Spatial Association ◽  
Electoral Behavior ◽  
Neighborhood Effect ◽  
Border Regions ◽  
Regional Clusters ◽  
Spatial Factor ◽  
Political Forces ◽  
The Russian Federation ◽  
And Cluster Analysis

The article focuses on the methods of spatial and cluster analysis to study electoral behavior in the states bordering on the Russian Federation. This article aims to determine how electoral preferences of voters are affected by the spatial factor as well as how the proximity to Russia can strengthen the level of pro- or anti-Russia attitude of political forces in the border regions. The study uses Moran’s index to describe the neighborhood effect. Local clusters of spatial association were calculated by means of local Moran’s index, and four types of local clusters were determined. It was concluded that some regional clusters remain stable throughout several electoral cycles, some clusters, however, change. In some cases anomalies of electoral behavior were revealed. To conduct a comparative analysis of trends in electoral behavior in all regions bordering on Russia a two-dimensional matrix was created for comparing parties by ideological spectrum and loyalty to Russia. The spatial analysis revealed significant differentiation between electoral districts regarding anti- and pro-Russian parties’ popularity in 2007–2020.

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