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handle: 10261/201912
Egalitarianism is one of the key elements of the communist ideology, yet some of the former communist countries are among the most unequal in the world in terms of income distribution. How does the communist legacy affect income inequality in the long run? The goal of this article is to investigate this question by looking at a sample of sub-national regions of Russia. To be able to single out the mechanisms of the communist legacy effects more carefully, we look at a particular aspect of the communist legacy – the legacy of the Communist Party of the Soviet Union (CPSU). We demonstrate that the sub-national regions of Russia, which had higher CPSU membership rates in the past, are characterised by lower income inequality. This, however, appears to be unrelated to the governmental redistribution policies; we link lower inequality to the prevalence of informal networks.
This work was supported by the National Research University Higher School of Economics (RU) [NA].
Communist legacy, Regions of Russia, Income inequality, http://metadata.un.org/sdg/10, Reduce inequality within and among countries
Communist legacy, Regions of Russia, Income inequality, http://metadata.un.org/sdg/10, Reduce inequality within and among countries
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 40 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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