Advertisement

Geography and Natural Resources

, Volume 40, Issue 3, pp 285–291 | Cite as

Electoral Support of Parties in Eastern Siberia: The Macroregional and Regional Aspects

  • P. L. PopovEmail author
  • A. A. CherenevEmail author
  • V. G. SaraevEmail author
  • D. A. GalesEmail author
Socio-Economic Questions of Geography

Abstract

Relationships of the results of the 2016 State Duma election (the share of voters who supported each of the three main political parties) for the federal subjects of Russia with three indicators have been analyzed. The first indicator are the socio-economic phenomena at the regional level. The second indicator refers to the results of the same election at the level of macroregions to which the respective regions belong. The third indicator includes the socio-economic phenomena at the level of macroregions to which the respective regions belong. Four types of regions were identified for each indicator, based on analyzing these correlations. The three indicators and types are all considered as complementary in predicting the electoral behavior of the region’s population. It is concluded that if in a federal subject of Russia the level of support of a political party is higher than the national average and if the set of attributes favoring voting for a given party is relatively well covered, it is a region of stable support of this party. In the event where in a constituent entity of the Russian Federation, a political party received fewer votes than the national average, and in the region the set of attributes of the support of a given party is not sufficiently expressed, it is a region of stably decreased support of this party. If a political party in a federal subject of Russia received more votes than the national average, but has a weak set of support factors, this is a region of potential decrease in support for this party. If a political party in a region has received fewer votes than the national average, but the set of factors supporting this party is relatively strong, it is a region of potential increase in support of this party. It has been established that protest-type electoral attitudes are dominant in Eastern Siberia, which implies a widespread occurrence of the stably decreased support of the party of power (United Russia, UR) and the stably increased support of the main opposition parties (Communist Party of the Russian Federation, CPRF, and Liberal Democratic Party of Russia, LDPR). It is found that all regions of Eastern Siberia show coincidences of the types of electoral predisposition for CPRF — LDPR and UR — LDPR.

Keywords

Election political parties correlation level of support macroregion region 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

References

  1. 1.
    Karnyshev, A.D., Zhukov, K.S. and Shestak, V.F., Psychology and Politics: Questions of Theory and Practice, Irkutsk: Izd. Irk. Univ., 2004 [in Russian].Google Scholar
  2. 2.
    Ishmuratov, B.M., The Economic-Geographical and Geopolitical Factors of Development of Interethnic at the Present Stage, Geogr. Prir. Resur., 1998, no. 1, pp. 5–14 [in Russian].Google Scholar
  3. 3.
    Degtyaryov, A.A., Political Analysis as an Applied Discipline: The Subject Field and Lines of Development, Polis. Politicheskie Issledovaniya, 2004, no. 1, pp. 154–168 [in Russian].Google Scholar
  4. 4.
    Petrov, N.V. and Titkov, A.A., Electoral Landscape, in Russia in the 1999–2000 Election Cycle, M. McFaul, N. Petrov and A. Ryabov, Eds., Moscow: Gendalf, 2000, pp. 72–74 [in Russian].Google Scholar
  5. 5.
    Manakov, A.G. and Kapkina, I.V., Electoral geography of Russia and Pskov Oblast, Pskov: Tsentr Vozrozhdenie, 1998 [in Russian].Google Scholar
  6. 6.
    Turovskii, R.F., Political Geography: Manual, Smolensk: Izd. Smolensk. Univ., 1999 [in Russian].Google Scholar
  7. 7.
    Pokrovskii, E.A., Problems of Realization of the Electoral Process in a Region of the Russian Federation as the Source of Conflicts, Pravovedenie, 1999, no. 1, pp. 244–247 [in Russian].Google Scholar
  8. 8.
    O’Loughlin, J., Political Geography, Encyclopedia of Geography, New York: Garland Publishing Company, G. Dunbar, Ed., 1990, pp. 136–137.Google Scholar
  9. 9.
    Heppen, J., Racial and Social Diversity and U.S. Presidential Election Regions, Prof. Geogr., 2003, vol 55, issue 2, pp. 191–205.Google Scholar
  10. 10.
    Johnston, R., Anglo-American Electoral Geography: Same Roots and Same Goals, But Different Means and Ends? Prof. Geogr., 2005, vol. 57, issue 4, pp. 580–587.CrossRefGoogle Scholar
  11. 11.
    Popov, P.L., Saraev, V.G., Tcherenev, A.A., and Gales, D.A., The Results of the Elections in the State Duma in 2016 and the Prospects for Regional Support of the Candidates From Political Parties in the Presidential Elections of 2018, Vlast’, 2017, vol. 25, no. 8, pp. 74–82 [in Russian].Google Scholar
  12. 12.
    Popov, P.L., Saraev, V.G. and Cherenev, A.A., From the Election Results in the Russian Federation in 2016 at the Regional and Macro-Regional Levels to Evaluating the Perspectives of the Candidates of the Main Parties in the Presidential Elections of 2018, Vlast’, 2017, vol. 25, no. 11, pp. 83–87 [in Russian].Google Scholar
  13. 13.
    Regions of Russia. Socio-Economic Indicators: Stat. Sb., Moscow: Rosstat, 2015 [in Russian].Google Scholar
  14. 14.
    Atlas of Religions and Ethnic Groups of Russia. URL: http://sreda.org/arena (Accessed February 2, 2018) [in Russian].
  15. 15.
    Popov, P.L., Tcherenev, A.A. and Saraev, V.G., Analysis of Regional and Macro-Regional Factors for Supporting the Main Political Parties in the Elections to the Sate Duma of the Russian Federation in 2016, Vestn. Tom. Univ., 2018, no. 436, pp. 124–130 [in Russian].Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2019

Authors and Affiliations

  1. 1.V. B. Sochava Institute of Geography, Siberian BranchRussian Academy of SciencesIrkutskRussia

Personalised recommendations