Korotayev Andrey

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  • № 4, 2017

    • Share of Students in Total Poppulation and Socio-Political Destabilization. Quantitative Analysis

      The article continues a series of works of the authoring team headed by A.Korotayev about the sources of socio-political instability. The study confirmed that students as a social and age group can be considered a force that exerts a destabilizing effect on the socio-political situation in the country. The authors found statistically significant positive correlations between the share of students in the total population and important indicators of socio-political destabilization such as the intensity of general strikes, riots and especially anti-government demonstrations. At the same time, the revealed negative correlation between the proportion of students in the population and the intensity of coups and coup attempts indicates that the growing number of students may play not only a destabilizing, but also, in a certain sense, a stabilizing role.

      Pages: 35-47

  • № 1, 2017

    • GDP Per Capita, Intensity of Anti-Government Demonstrations and Level of Education (Cross-national Analysis)

      The article continues a series of works of the authoring team headed by A.Korotayev about the sources of social and political instability. The research conducted by the authors shows that the previously discovered statistically significant positive correlation between GDP per capita, PPP (in the range up to $20,000), and the intensity of anti-government demonstrations, is partly conditioned by the factors of education level and political regime. At the same time, these factors do not fully explain the identified correlation, indicating the need for further research.

  • № 3, 2016

    • Intermediate Types of Political Regimes and Socio-Political Instability (Quantitative Cross-National Analysis)

      The article attempts to test the hypothesis that consolidated democracies and consecutive autocracies are more stable than intermediate regimes. The research conducted by the authors, with the help of data from CNTS and Freedom House, in general confirmed the presence of the U-curve relationship between the type of regime and the level of socio-political instability. At the same time, the study allowed to reveal a number of important details. Empirical tests have shown that (a) the U-curve relationship between socio-political instability and the type of regime is usually characterized by a significant asymmetry; (b) the nature of this asymmetry may vary over time; (c) since the end of the Cold War, the U-curve relationship between regime type and level of socio-political instability has weakened considerably and has undergone significant changes. If in 1973–1991 the highest level of socio-political instability was demonstrated by unconsolidated democracies, in 1992–2012 it became more typical for inconsistent autocracies.

  • № 3, 2015

    • Ukrainian Mosaic An Attempt at Quantitative Analysis of Ukrainian Electoral Statistics

      On the basis of the mathematical analysis of the electoral statistics A.Korotaev and L.Isaev come to the conclusion that V.Yanukovych lost Ukraine long before the events of 2013–2014. The research conducted by the authors shows that before the start of these events most of the country’s south-east regions that supported the Party of Regions were characterized by a very high level of political passivity, which contrasted with the Central and especially Western Ukraine, as well as Kiev, where high political activity of the population was combined with pro-orange sentiments. Thus, in November 2013 Yanukovych found himself in a very disadvantageous position, which largely led to his downfall.