Analysis of regional and macro-regional factors for supporting the main political parties at the elections to the State Duma of the Russian Federation in 2016
The article examines the correlation of election results in the State Duma in 2016 (per cent of voters who supported each of the three main parties) at the level of the regions (subjects of the Russian Federation) with three indicators. The article includes three sections, each of which, in turn, examines these indicators. The first indicator is socio-economic phenomena at the regional level. The second indicator is the results of the same elections at the level of the macro-regions to which the respective regions belong. The third indicator is socio-economic phenomena at the level of macro-regions to which the respective regions belong. Taking into account these correlations, four types of regions are established for each indicator. If the region in fact supported a certain party in the elections to the Duma of 2016 (this party received more votes here than the national average), and, at the same time, had support factors for this party, more than the national average, this was a region of sustained support for this party (support factors in this and other types can characterize both the region directly and the macro-region to which the region belongs). If the region gave fewer votes for this party than the national average and had less support for this party than the national average, this was a region of steadily low support for this party. If the region gave this party more votes than the national average, but had fewer support factors, this was a region of potential reduction of support for this party. If the region gave the party fewer votes than the national average, but had a relatively strong range of support factors for this party, this was a region of potential increase in support for this party. The greatest attention in the pre-election struggle should be drawn by the regions of potential increase and potential reduction in support for a particular party. All three indicators and types are considered complementary to each other when predicting the electoral behavior of the population of the region.
Keywords
выборы в 2016 и 2018, «Единая Россия», КПРФ, ЛДПР, корреляция, регион, макрорегион, потенциальное повышение или понижение поддержки партии, elections in 2016 and 2018, United Russia, CPRF, LDPR, correlation, region, macro-region, potential increase or decrease in support for partyAuthors
| Name | Organization | |
| Popov Petr L. | V.B. Sochava Institute of Geography of the Siberian Branch of the Russian Academy of Sciences | plp@irigs.irk.ru |
| Tcherenev Aleksei A. | V.B. Sochava Institute of Geography of the Siberian Branch of the Russian Academy of Sciences | tcherenev@irigs.irk.ru |
| Saraev Vladimir G. | V.B. Sochava Institute of Geography of the Siberian Branch of the Russian Academy of Sciences | soclab@irigs.irk.ru |
References
Analysis of regional and macro-regional factors for supporting the main political parties at the elections to the State Duma of the Russian Federation in 2016 | Vestnik Tomskogo gosudarstvennogo universiteta – Tomsk State University Journal. 2018. № 436. DOI: 10.17223/15617793/436/14