Languages, secessionism and party competition in Catalonia: A case of de-ethnicising outbidding?
| Autor: | Marc Sanjaume-Calvet, Elvira Riera-Gil |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Sociology and Political Science
05 social sciences 0507 social and economic geography Ethnic group 0506 political science Test (assessment) Competition (economics) Order (business) Political science Political economy 050602 political science & public administration 050703 geography Language policy Party competition |
| Zdroj: | Party Politics. 28:85-104 |
| ISSN: | 1460-3683 1354-0688 |
| DOI: | 10.1177/1354068820960382 |
| Popis: | This article explores party strategies in electoral competition in Catalonia in order to test the existence of ethnic outbidding ( Chandra, 2005 ; Zuber and Szöcsik, 2015 ). We contribute with original findings on this case by addressing the evolution of political parties’ discourses through a qualitative analysis of their manifestos for the last five regional elections campaigns (2006–2017), covering a period of strong territorial conflict between Catalonia and Spain. Our analysis aims to measure the impact of secessionism growth on parties’ ethnic competition in Catalonia and compares the strategies of secessionist, federalist and centralist parties. In order to measure ethnicity, we focus on language, the most salient identity marker in Catalan politics, and link the evolution of parties’ territorial positions to that of their treatment of national identities and the Catalan and Castilian languages – both official languages in Catalonia – in their manifestos. Our findings include diverse strategies that do not entirely fit in with ethnic competition theories. First, we find that territorial outbidding does not always imply ethnic outbidding: political parties generally do not use the main identity marker in Catalonia (language) for outbidding purposes. Second, we find some evidence of ethnic outbidding in majority nationalist parties, but not in minority nationalist parties. |
| Databáze: | OpenAIRE |
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