Date: 2023
Type: Article
A regional perspective to the study of affective polarization
European journal of political research, 2023, Vol. 62, No. 2, pp. 645-659
BETTARELLI, Luca, REILJAN, Andres, VAN HAUTE, Emilie, A regional perspective to the study of affective polarization, European journal of political research, 2023, Vol. 62, No. 2, pp. 645-659
- https://hdl.handle.net/1814/76473
Retrieved from Cadmus, EUI Research Repository
This research note investigates the scope of regional variations in levels of affective polarization across Europe and contrasts it with national scores to highlight the theoretical and empirical interest of a disaggregated approach. Using all waves of the Comparative Study of Electoral Systems (CSES) dataset, we compute an affective polarization score for 143,857 individuals and aggregate these scores in 190 regions nested in 30 countries, across a period ranging from 1996 to 2019, covering 105 elections. We map variations in affective polarization across regions, both cross-sectionally and longitudinally. Our results reveal that the range of scores is larger across regions than between countries and that approximately half of the variation in affective polarization scores can be attributed to within-country heterogeneity. Second, we find that some countries display rather homogeneous regional patterns, while others display heterogeneous scores. Third, we show how the increase in the affective polarization scores over time at the national level can be driven by sharp changes in some regions only, while other regions remain stable. Overall, these results point to the added value of adopting a regional approach to the study of affective polarization.
Additional information:
Published online: 18 August 2022
Cadmus permanent link: https://hdl.handle.net/1814/76473
Full-text via DOI: 10.1111/1475-6765.12548
ISSN: 0304-4130; 1475-6765
Publisher: Wiley
Sponsorship and Funder information:
Reiljan received funding from the Estonian Research Council mobility grant no. MOBJD607. Van Haute received funding from the FWO-FNRS EoS grant no. 30431006.
Bettarelli received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 801505.
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