Individual vulnerability to industrial robot adoption increases support for the radical right.

automation polarization voting

Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
23 11 2021
Historique:
accepted: 20 09 2021
entrez: 20 11 2021
pubmed: 21 11 2021
medline: 21 11 2021
Statut: ppublish

Résumé

The increasing success of populist and radical-right parties is one of the most remarkable developments in the politics of advanced democracies. We investigate the impact of industrial robot adoption on individual voting behavior in 13 western European countries between 1999 and 2015. We argue for the importance of the distributional consequences triggered by automation, which generates winners and losers also within a given geographic area. Analysis that exploits only cross-regional variation in the incidence of robot adoption might miss important facets of this process. In fact, patterns in individual indicators of economic distress and political dissatisfaction are masked in regional-level analysis, but can be clearly detected by exploiting individual-level variation. We argue that traditional measures of individual exposure to automation based on the current occupation of respondents are potentially contaminated by the consequences of automation itself, due to direct and indirect occupational displacement. We introduce a measure of individual exposure to automation that combines three elements: 1) estimates of occupational probabilities based on employment patterns prevailing in the preautomation historical labor market, 2) occupation-specific automatability scores, and 3) the pace of robot adoption in a given country and year. We find that individuals more exposed to automation tend to display higher support for the radical right. This result is robust to controlling for several other drivers of radical-right support identified by earlier literature: nativism, status threat, cultural traditionalism, and globalization. We also find evidence of significant interplay between automation and these other drivers.

Identifiants

pubmed: 34799451
pii: 2111611118
doi: 10.1073/pnas.2111611118
pmc: PMC8617521
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Déclaration de conflit d'intérêts

The authors declare no competing interest.

Références

Br J Sociol. 2017 Nov;68 Suppl 1:S57-S84
pubmed: 29114868
Proc Natl Acad Sci U S A. 2018 May 8;115(19):E4330-E4339
pubmed: 29686081
Psychol Sci. 2020 Aug;31(8):987-1000
pubmed: 32697627

Auteurs

Massimo Anelli (M)

Department of Social and Political Sciences, Bocconi University, Milan 20136, Italy.
Dondena Research Center, Bocconi University, Milan 20136, Italy.
Baffi-Carefin Research Center, Bocconi University, Milan 20136, Italy.
CESifo (Center of Economic Studies and ifo Institute), 81679 Munich, Germany.

Italo Colantone (I)

Department of Social and Political Sciences, Bocconi University, Milan 20136, Italy.
Baffi-Carefin Research Center, Bocconi University, Milan 20136, Italy.
CESifo (Center of Economic Studies and ifo Institute), 81679 Munich, Germany.

Piero Stanig (P)

Department of Social and Political Sciences, Bocconi University, Milan 20136, Italy; piero.stanig@unibocconi.it.
Dondena Research Center, Bocconi University, Milan 20136, Italy.

Classifications MeSH