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Persistent Identifier
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doi:10.7910/DVN/I3VHZK |
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Publication Date
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2024-11-12 |
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Title
| Replication Data for: Geographies of Discontent: Public Service Deprivation and the Rise of the Far Right in Italy |
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Author
| Cremaschi, SimoneBocconi University
Rettl, PaulaHarvard Business School
Cappelluti, MarcoUniversity College London
De Vries, Catherine E.Bocconi University |
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Point of Contact
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Use email button above to contact.
Cappelluti, Marco (University College London) |
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Description
| Electoral support for far-right parties is often linked to geographies of discontent. We argue that public service deprivation, defined as reduced access to public services, plays an important role in explaining these patterns. By exploiting an Italian reform that reduced access to public services in municipalities with fewer than 5,000 residents, we show that far-right support in national elections increased in municipalities affected by the reform compared to unaffected ones. We use geo-coded individual-level survey data and party rhetoric data to explore the mechanisms underlying this result. Our findings suggest that concerns about immigration are exacerbated by the reform, and that far-right parties increasingly linked public services to immigration in their rhetoric after the reform. These demand and supply dynamics help us understand how public service deprivation shapes geographic patterns in far-right support. (2024-07-25) |
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Subject
| Social Sciences |
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Keyword
| public services, far-right, Italy, immigration, spatial inequality |
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Related Publication
| Cremaschi, S., Rettl, P., Cappelluti, M., & De Vries, C. E. [year]. "Geographies of Discontent: Public Service Deprivation and the Rise of the Far Right in Italy." American Journal of Political Science Forthcoming. |
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Notes
| This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University.
The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the Center for Open Science.
Open Materials Badge |
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Producer
| Cappelluti, Marco (University College London) |
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Depositor
| Cappelluti, Marco |
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Deposit Date
| 2024-07-25 |
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Data Source
| Electoral data: electoral_panel_dataset.dta. Source: Electoral data are sourced from the Italian Ministry of the Interior. Socioeconomic data are sourced from the Italian National Institute of Statistics (ISTAT).
Map data: map_2008.dta. Source: Spatial data are sourced from the Italian National Institute of Statistics (ISTAT). https://www.istat.it/notizia/confini-delle-unita-amministrative-a-fini-statistici-al-1-gennaio-2018-2/
Individual-Level attitudinal data: individual_panel_dataset.dta. Source: Individual-level panel data are sourced from the Italian National Election Studies (ITANES). Municipal-level socioeconomic data are sourced from the Italian National Institute of Statistics (ISTAT).
Public service data: service_dataset.dta. Source: Municipal-level public service data are sourced from Open Civitas, which provides access to data collected by the Italian Ministry of Economy and Finance (MEF). https://www.opencivitas.it/it/open-data
Party positioning data: ches_scores.dta. Source: Party policy positioning data are sourced from the Chapel Hill Expert Survey (CHES). Jolly, Seth, Ryan Bakker, Liesbet Hooghe, Gary Marks, Jonathan Polk, Jan Rovny, Marco Steenbergen, and Milada Anna Vachudova. 2022. “Chapel Hill Expert Survey Trend File, 1999–2019.” Electoral Studies 75:102420.
Income data: income_change.dta. Source: Income data are sourced using the average pre-tax household income from municipal tax records released by the Italian Ministry for the Economy and Finance (MEF).
Party rhetoric data: Manifesto Project Database (MPD), available using the MPD API key manifesto_apikey.txt. Source: Manifesto Project Database (MPD). Lehmann, Pola, Simon Franzmann, Tobias Burst, Sven Regel, Felicia Riethmuller, Andrea Volkens, Bernhard Wessels, and Lisa Zehnter. 2023. The Manifesto Data Collection. Manifesto Project (MRG/CMP/MARPOR). Version 2023a. Technical report. Wissenschaftszentrum Berlin fur Sozialforschung and Gottinger Institut fur Demokratieforschung. The Codebook file includes codebooks for each dataset used in the analysis. |
