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'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 'left behind places' 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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50701 - Cultural and economic geography
Result continuities
Project
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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