When automation hits home: Exploring the nuanced relationship between job risk and support for universal basic income

Technological change is causing major transformations in the nature of work and the labor market. As a result, there is a growing interest in studying the relationship between automation of jobs and attitudes toward universal basic income as a potential solution to address the socioeconomic challenges posed by technological advancements. Hence, the exploration of a universal basic income and other innovative ways to restructure the welfare state has become crucial in navigating the complexities of the digital economy and automation. Drawing on data from the Barometer of Political Opinion of Catalonia, Spain, our study reveals nuances insights. We observe that individuals facing a high risk of job automation have a negative impact on support for selectively targeted, means-tested basic income. In addition, while concerns about technological displacement are prevalent, there is no clear correlation between perceived and objective risk of automation-induced job loss. Contextual information about automation also does not significantly influence support for universal basic income scheme or a guaranteed citizenship income. However, individuals who perceive their work tasks as automatable are more inclined to endorse a universal basic income, highlighting the complex interplay between technological change, socioeconomic perceptions, and attitudes toward welfare policy.

Authors

Institutions

Publication Details

Journal
Social Science Information
Published
2024-11-29
DOI
https://doi.org/10.1177/05390184241298405
Citations
1
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

When automation hits home: Exploring the nuanced relationship between job risk and support for universal basic income

David Casassas, Boris Álvarez Escobar, Ignacio Rodríguez Rodríguez, Àlex Boso
1 citations
Social Science Information
Employment and Welfare Studies
0.85
article

When automation hits home: Exploring the nuanced relationship between job risk and support for universal basic income

David Casassas, Boris Álvarez Escobar, Ignacio Rodríguez Rodríguez, Àlex Boso
article en
1 citations

Abstract

Technological change is causing major transformations in the nature of work and the labor market. As a result, there is a growing interest in studying the relationship between automation of jobs and attitudes toward universal basic income as a potential solution to address the socioeconomic challenges posed by technological advancements. Hence, the exploration of a universal basic income and other innovative ways to restructure the welfare state has become crucial in navigating the complexities of the digital economy and automation. Drawing on data from the Barometer of Political Opinion of Catalonia, Spain, our study reveals nuances insights. We observe that individuals facing a high risk of job automation have a negative impact on support for selectively targeted, means-tested basic income. In addition, while concerns about technological displacement are prevalent, there is no clear correlation between perceived and objective risk of automation-induced job loss. Contextual information about automation also does not significantly influence support for universal basic income scheme or a guaranteed citizenship income. However, individuals who perceive their work tasks as automatable are more inclined to endorse a universal basic income, highlighting the complex interplay between technological change, socioeconomic perceptions, and attitudes toward welfare policy.

Social Science InformationVol. 63(4)
Universidad de La Frontera (CL), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), Universitat de Barcelona (ES)
No poverty
Openalex Percentile: Top 20%
Employment and Welfare Studies
0.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

When automation hits home: Exploring the nuanced relationship between job risk and support for universal basic income — David Casassas, Boris Álvarez Escobar, et al. · Social Science Information (2024) | TGRS Research Map | TGRS