
Local voting in Russia: a spatial-econometric approach
Author(s) -
E.M. Korneeva
Publication year - 2021
Publication title -
političeskaâ nauka
Language(s) - English
Resource type - Journals
ISSN - 1998-1775
DOI - 10.31249/poln/2021.03.10
Subject(s) - voting , spatial econometrics , spatial analysis , obstacle , economic geography , politics , econometrics , space (punctuation) , regional science , empirical research , geography , political science , economics , statistics , computer science , mathematics , remote sensing , archaeology , law , operating system
The article presents theoretical and methodological foundations for the application of the spatial-econometric approach in electoral processes. The analysis based on spatial-econometric approach that underlies an assumption about interdependence of processes occurring in adjacent objects. Theoretical framework of research is devoted to social-political assumptions that allow to explore the existence of interdependence of political processes occurring in neighboring objects. Empirical research is accomplished on local constituencies data from all parliamentary elections that took place in Russia in 1995–2016. The research involves addressing the concept of spatial autocorrelations – Moran, Geary and Getis – Ord indices. The research focuses on issue about the degree of spatial differences between regional and local voting. The results of research demonstrate that there is a high spatial interdependence in local voting in Russia. A comparative analysis of spatial autocorrelation on local and regional levels demonstrates that the municipal districts are most prone to spatial interdependence. This finding allows to trace a hidden tendences on local level of elections. Such differences between local and regional spatial autocorrelation identify that regional political regime can be an obstacle on the way of restraining the territorial distribution of local communities with similar electoral behavior. Finally, the research proves that the role of place is significant in Russian electoral space.