Neighborhood Effect in Greater Eurasia: Spatial Autocorrelation 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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ELECTORAL BEHAVIOR OF RUSSIAN CITIZENS IN THE 1996-2018 FEDERAL ELECTIONS ON THE TERRITORY OUTSIDE THE RUSSIAN FEDERATION

Political Expertise: POLITEX ◽

10.21638/spbu23.2021.204 ◽

2021 ◽

Vol 17 (2) ◽

pp. 163-183

Author(s):

Konstantin Zhuribeda

Keyword(s):

Russian Federation ◽

Incomplete Data ◽

The State ◽

Electoral Behavior ◽

Automated System ◽

Foreign Countries ◽

Political Forces ◽

The Russian Federation ◽

Former Ussr ◽

Election Commission

This article describes the course of voting in federal elections (President of the Russian Federation, deputies of the State Duma of the Russian Federation) in the period from 1996 to 2018. The basics of organizing voting outside the Russian Federation and the procedure for registering foreign voters in electoral statistics are described. The study analyzed voting in federal elections in foreign countries with more than 500 voters in key political forces that participated in the elections to the State Duma in 1999-2016 and candidates for the office of President of the Russian Federation in the 1996-2018 elections (party in power, communists, liberals, LDPR, etc.). The sample includes countries on virtually every continent of the globe. Information on the ownership of foreign sites by specific countries is taken from the relevant decisions of the Central Election Commission. Unfortunately, the authors have only incomplete data on voting in the 1990s (there is no information at all for voting in foreign polling stations in the 1995 State Duma elections, for the 1996 presidential elections there is information only about voting in the countries of the former USSR, for elections to the State Duma in 1999 there is only fragmentary information from foreign sites). Since 2003, data on voting has been published in full due to the introduction of the State Automated System “Vybory” (GAS “Vybory”).

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Cluster analysis of border areas in the southern part of Siberia

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/885/1/012046 ◽

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.

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Supplemental Material for Identifying Style-Types in a Sample of Musical Improvisations Using Dimensional Reduction and Cluster Analysis

Psychology of Aesthetics Creativity and the Arts ◽

10.1037/aca0000072.supp ◽

2016 ◽

Keyword(s):

Cluster Analysis ◽

Dimensional Reduction ◽

And Cluster Analysis

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Factor and cluster analysis of data from a position analysis of industrial and administrative work systems

PsycEXTRA Dataset ◽

10.1037/e668292012-196 ◽

1976 ◽

Author(s):

H. Luczak ◽

K. Landau ◽

W. Rohmert

Keyword(s):

Cluster Analysis ◽

Work Systems ◽

Administrative Work ◽

Position Analysis ◽

Factor And Cluster Analysis ◽

And Cluster Analysis

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The limit of the contemporary financial system in Russia

National Interests Priorities and Security ◽

10.24891/ni.16.7.1223 ◽

2020 ◽

Vol 16 (7) ◽

pp. 1223-1245

Author(s):

V.V. Smirnov

Keyword(s):

Cluster Analysis ◽

Foreign Currency ◽

Financial System ◽

Descriptive Statistics ◽

High Tech ◽

Monetary Aggregate ◽

Internal System ◽

Monetary Relations ◽

And Cluster Analysis ◽

Structural Preservation

Subject. The article focuses on the modern financial system of Russia. Objectives. I determine the limit of the contemporary financial system in Russia. Methods. The study is based on methods of descriptive statistics, statistical and cluster analysis. Results. The article shows the possibility of determining the scope of the contemporary financial system in Russia by establishing monetary relations as the order of the internal system and concerted operation of subsystems, preserving the structure of the financial system, maintaining the operational regime, implementing the program and achieving the goal. I found that the Russian financial system correlated with the Angolan one, and the real scope of the contemporary financial system in Russia. Conclusions and Relevance. As an attempt to effectively establish monetary relations and manage them, the limit of the contemporary financial system is related to the possibility of using Monetary Aggregate M0 to maintain the balance of the Central Bank of Russia. To overcome the scope of Russia’s financial system, the economy should have changed its specialization, refocusing it on high-tech export and increasing the foreign currency reserves. This can be done if amendments to Russia’s Constitution are adopted. The findings expand the scope of knowledge and create new competence in the establishment of monetary relations, order of the internal system and concerted interaction of subsystems, structural preservation of the financial system and maintenance of its operational regime.

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