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Electoral behaviour in the Czech Republic and support of Communist Party of Bohemia and Moravia in parliamentary election in 1990 – 2006 Michal Pink Faculty.

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Presentation on theme: "Electoral behaviour in the Czech Republic and support of Communist Party of Bohemia and Moravia in parliamentary election in 1990 – 2006 Michal Pink Faculty."— Presentation transcript:

1 Electoral behaviour in the Czech Republic and support of Communist Party of Bohemia and Moravia in parliamentary election in 1990 – 2006 Michal Pink Faculty of Social Studies Institute for Comparative Political Research Masaryk University Brno Czech Republic

2 I. Introduction KSČ (1921 – 1990) KSČM (1991 – 2006) Communist parties Election results Geographical area Electoral map

3 II. Methodological background Method of detection so-called area of electoral support Simple calculation - Election results of particular political party are arranged according to percentage gain from the highest to the lowest. Then we find half and in this line we divide individual districts, possibly municipalities, into halves and we get areas which comprise 50% concentration of electoral support out of total number of votes in given elections. The basic data file is made by results of Chamber of Deputies elections (Poslanecká sněmovna - ChD) To find out the mutual cohesion and stability of electoral support will be used the basic statistical method, Pearson correlation coefficient.

4 III. Communist Party and its position in party system The party system of Czech regions has settled during last 16 years and is relatively easy classable. Nowadays is possible to consider four main basic streams as established and stabilised players of party political spectrum. There are two main political parties, i.e. Civic Democratic Party with its liberally- conservative orientation and Czech Social Democratic Party which belongs to group of social democratic political parties. The other two stabilised subjects are The Christian and Democratic Union – Czechoslovak People’s Party which shapes as centre formation and Communist Party of Bohemia and Moravia (KSČM) as the main principal heir of Communist Party of Czechoslovakia. KSČM is the subject of exclusion and its coalition potential is zero. Nowadays it is the party which does not represent fundamental opposition to the system itself but regarding its ideology there is an exclusion agreement applied. KSČM takes regularly part in electoral competition, gains representation in legislature but it is still not available in executive.

5 Map Czech republic – Districts

6 IV. Support in 1990 – 2006 Map No.1. Areas of electoral support in 1990

7 IV. Support in 1990 – 2006 Map No.2. Areas of electoral support in 1992

8 IV. Support in 1990 – 2006 Map No.3. Areas of electoral support in 1996

9 IV. Support in 1990 – 2006 Map No. 4. Areas of electoral support in 1998

10 IV. Support in 1990 – 2006 Map No.5. Areas of electoral support in 2002

11 IV. Support in 1990 – 2006 Map No. 6. Areas of electoral support in 2006

12 Support in 1990 – 2006 Map No 7. Districts which are parts of areas of electoral support in the long terms (1990–2006)

13 KSČM top 5

14 Stability of region differences of KSČM electoral support (Pearson correlation coefficient) 10,9530,8850,8250,6680,722 KSČM 06 0,95310,8820,8110,6770,727 KSČM 02 0,8850,88210,9520,6410,754 KSČM 98 0,8250,8110,95210,6710,825 KSČM 96 0,6680,6770,6410,67110,783 KSČM 92 0,7220,7270,7540,8250,7831 KSČ 90 KSČM 06KSČM 02KSČM 98KSČM 96KSČM 92KSČ 90

15 Districts of area of electoral support of KSČM (data in %) Source:

16 Table No. 5. Selected districts and data (data in %, gross wage is nominal) Source: Czech Statistical Office,

17 Electoral maps in wider context -0,076-0,0750,190-0,0790,441 KSČM 06 WagesReligionismRate of divorce SuicidesUnemployment Interdependence of rate - Pearson correlation coefficient

18 Map No 8. Electoral map of KSČM in 2006

19 Unemployment Map No.9. Rate of unemployment as at

20 Conclusion On the basis of mutual comparing electoral maps of communist party were found districts which are characterised by the higher long-term electoral support. With the help of comparing maps of areas of electoral support were the the following districts: Blansko, Bruntál, Domažlice, Cheb, Chomutov, Kladno, Louny, Litoměřice, Most, Plzeň – north, Rakovník, Rokycany, Tachov, Vyškov, Znojmo integrated into defined areas. Districts Most, Litoměřice, Louny and Tachov even have been regularly placed among first ten successful districts because of the best parliamentary election results since In the mentioned districts were subsequently compared selected socioeconomic indicators which could explain social conditionality of electoral behaviour. However, on the basis of simple comparison was not proved any clear connection. By the subsequent testing and finding connections with the help of statistical method, Pearson correlation coefficient was the rate of significance found only in correlation of support of KSČM and district rate of unemployment On the basis of established facts we can assert that support of Communist Party of Bohemia and Moravia in the Czech Republic background has been relatively stable since 1990 and is more conditioned by a long term influence which is regionally conditioned and is not based only on socioeconomic features.

21 Sources Balík, Stanislav Kontinuita či diskontinuita voličských vzorců? Volební podpora KSČ a KSČM v prostoru dnešního Olomouckého kraje v období 1929 – 1935 a 1996 – In: Evropská volební studia. Leden 1/2006, 38 – 60 (http://ispo.fss.muni.cz/kontinuita-diskontinuita).http://ispo.fss.muni.cz/kontinuita-diskontinuita Jehlička, Petr - Sýkora, Luděk „Stabilita regionální podpory tradičních politických stran v českých zemích (1920 – 1990)“ In: Sborník ČGS 96 (2): 81 – 95. Kostelecký, Tomáš. 2001a. „Vzestup nebo pád politického regionalismu?“. Praha: Sociologický ústav AV ČR, Working papers 2001 (9). Kostelecký, Tomáš. 2001b. Political parties after communism. The Johns Hopkins University Press. Sartori, Giovanni Parties and Party Systems. A Framework for Analysis, I., Cambridge University Press.

22 Thank you for attention


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