All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Examining voter turnout using multiscale geographically weighted regression: The case of Slovakia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F23%3A10469679" target="_blank" >RIV/00216208:11310/23:10469679 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14310/23:00132230

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=JGWC3vmj0S" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=JGWC3vmj0S</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/mgr-2023-0014" target="_blank" >10.2478/mgr-2023-0014</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Examining voter turnout using multiscale geographically weighted regression: The case of Slovakia

  • Original language description

    Voter turnout is an essential aspect of elections and often reflects the attitude of a country&apos;s population towards democracyand politics. Therefore, examining the distribution of voter turnout and determining the factors that influence whetheror not people will vote is crucial. This study aims to find significant factors that underlie the different levels of electoralparticipation across regions in Slovakia during the 2020 parliamentary elections. In this interpretation, special attentionis paid to the ability of the main theories of voter turnout to explain the behaviour of Slovak voters. The primary analyticaltool is multiscale geographically weighted regression, which represents an advanced local regression modelling variant.The results indicate that the multiscale geographically weighted regression is superior to the global ordinary least squaremodel in virtually all aspects. Voter turnout is generally higher in economically and socially prosperous localities andregions, which is in line with the societal modernisation theory. Additionally, factors connected to mobilisation theory andthe concept of &apos;left behind places&apos; also proved to be valuable. However, in other cases, such as with the share of retirees andpotential habitual voting, the outcomes were not overly convincing, and further research is required.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50701 - Cultural and economic geography

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Moravian Geographical Reports

  • ISSN

    1210-8812

  • e-ISSN

    2199-6202

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    12

  • Pages from-to

    153-164

  • UT code for WoS article

    001082385900004

  • EID of the result in the Scopus database

    2-s2.0-85174703588