Globalization, robotization and electoral outcomes: Evidence from spatial regressions for Italy
Mauro Caselli,
Andrea Fracasso and
Silvio Traverso
No 2019/5, DEM Working Papers from Department of Economics and Management
Abstract:
Criticism of economic globalization and technological progress has gained support in Italy in the last two decades but, due to the di↵erentiated exposure of local communities to this process, political outcomes have varied considerably across the country. By observing the local impact of three global economic phenomena (flows of migrants, foreign competition in international trade, and di↵usion of robots) alongside with the patterns of local electoral outcomes potentially associated with discontent, this work analyses from a spatial perspective the economic forces driving the evolution of general elections in 2001, 2008 and 2013 in Italy. The analysis reveals that all these global factors had an impact on political outcomes associated with discontent, albeit in different ways and changing over time. These novel em- pirical results indicate that these global drivers interacted with elements pertaining to the political supply, such as party federation and scandals. By combining various methodological advances coming from the political geography and the political economy literature, this work attempts to bridge disciplines sharing similar interests but adopting di↵erent tools of analysis.
Keywords: Indirect inference; directional statistics; stable distribution; weighting matrix (search for similar items in EconPapers)
JEL-codes: D72 F14 F60 O33 (search for similar items in EconPapers)
Date: 2019
New Economics Papers: this item is included in nep-ore and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
https://www.economia.unitn.it/alfresco/download/wo ... d52c0/DEM2019_05.pdf (application/pdf)
Related works:
Journal Article: Globalization, robotization, and electoral outcomes: Evidence from spatial regressions for Italy (2021) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:trn:utwprg:2019/05
Access Statistics for this paper
More papers in DEM Working Papers from Department of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by roberto.gabriele@unitn.it ().