A Spatial Analysis of Czech Parliamentary Elections, 2006–2013

Maškarinec, Pavel

doi:10.1080/09668136.2017.1313962

Cited by 22 publications

(23 citation statements)

References 16 publications

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“…Chování českých voličů je podle několika studií prostorově značně homogenní (Kouba 2007; Lyons, Linek 2010) a vliv prostorového kontextu zkoumaný na úrovni okresů je málo významný, neboť rozdíly na regionální úrovni lze z velké části vysvětlit odlišnou strukturou elektorátu podle konfliktních linií (Kouba 2007). Pro českou politiku byla dlouhou dobu určující socioekonomická konfliktní linie dělící strany na pravici a levici, avšak s nástupem nových stran ve volbách v roce 2010 a 2013 se vysvětlovací kapacita tohoto modelu v prostoru snížila, neboť volební podpora nových stran je takřka nezávislá na sociodemografických charakteristikách regionů (Havlík, Voda 2016;Maškarinec 2017). Předcházející studie ukázaly, že specifické volební chování může mít též příčinu v minulosti (Jehlička, Sýkora 1991;Krivý 1999;Pink a kol.…”

Section: Příčiny Teritoriálních Rozdílů Ve Volebním Chováníunclassified

Influence of the local context on voting behavior in Czechia

Mikešová

2019

Geografie

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There are significant differences in voting behavior among municipalities and regions in parliamentary elections in Czechia. In the following study we concentrate on the influence of local context on voting behavior. We studied 10 municipalities and regions with a specific voting behavior that does not correspond to the expected voting behavior – according to the socio-demographic characteristics of the population. Using qualitative data analysis (focus groups and in-depth interviews), we focused on causes of voting behavior that are difficult to reveal through quantitative methods. According to the analysis, the socio-economic structure of the inhabitants of the regions, together with the influence of family, family history, traditions, and experiences shaped by the historical development of the region, have significant impact on political socialization and voting behavior. Local politics and local politicians also have some influence. At the same time, there are noticable differences between individual municipalities and regions representing different party families.

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Section: Příčiny Teritoriálních Rozdílů Ve Volebním Chováníunclassified

Influence of the local context on voting behavior in Czechia

Mikešová

2019

Geografie

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“…However, it was very tough to find any particular paper that focus on utilizing spatial analysis on female voters' behavior. On the other hand, we found some valuable studies employing spatial analysis on general elections or voters [2][3][4] [5]. The methods applied in those studies were concentrated on finding spatial association of measured political objects in an interconnected space.…”

Section: Literature Reviewmentioning

confidence: 99%

The Spatial Analysis of Female Voters’ Behavior

Muhammad¹,

Gusrizal²,

Sucipta³

et al. 2019

Proceedings of the International Conference on Emerging Media, and Social Science

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The purpose of this study is to find out what factors influence the behavior of female voters. This study was carried out in the city of Tanjungpinang, Riau Archipelago (Kepulauan Riau) Province, Indonesia. A number of questionnaires were distributed to obtain female voters' perspective related to the 2014 th legislative election. Spatial visualization showed that two factors competed to dominate the behavior of female voters, namely ideology similarity and candidate's religiosity. The results of spatial analysis based on Global Moran's I and Local Indicator of Spatial Association (LISA) showed that ideology similarity factor was spread uniformly and did not have spatial association. On the other hand, candidate's religiosity factor formed some patterns of spatial associations. These findings are intended to contribute the study of women's participation in politics through the application of spatial data analysis

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“…To this end, recently researchers in political science, geography and statistics have tried to understand the characteristics of the electoral behaviour on a local basis, pursuing the goal of defining spatial patterns and dependency, thus giving a new insight about the possible transformations of geographical configurations of voting behaviour. Shin and Agnew (), Maškarinec () and Diaz‐Parra and Roca () are only a few references on Italian, Czech and Spanish elections respectively, whereas Becker, Fetzer, and Novy () and Goodwin and Heath () explore the relative importance of economic and social factors across the country on Brexit results. Braha and Aguiar () give an overview of spatial pattern in US Presidential Elections over the last century, and more recently Kinsella (), and Scala and Johnson ().…”

Section: Analysis Of 2013 Italian Electoral Datamentioning

confidence: 99%

A distance correlation index of spatial dependence for compositional data

Andreano

Benedetti

Piersimoni

2019

Papers in Regional Science

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Geographical data in economic, social or environmental sciences are usually recorded as compositions, i.e. relative frequencies, and a common inquiring problem concerns the analysis of these data over different geographical regions. In the present paper we define a new statistical test to verify spatial dependence of such geographical distributions based on distance correlation, a recently introduced measure of dependence between random vectors. The proposed index computes the non-linear spatial distance between distributions and can be applied on compositional frequency distributions. Simulations and an application on Italian electoral data are presented, to illustrate the capabilities of the proposed test to detect spatial dependence.

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A Spatial Analysis of Czech Parliamentary Elections, 2006–2013

Cited by 22 publications

References 16 publications

Influence of the local context on voting behavior in Czechia

Influence of the local context on voting behavior in Czechia

The Spatial Analysis of Female Voters’ Behavior

A distance correlation index of spatial dependence for compositional data

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