Technological Risk and Policy Preferences

AuthorAina Gallego,José Fernández-Albertos,Alexander Kuo,Dulce Manzano
Published date01 January 2022
Date01 January 2022
DOIhttp://doi.org/10.1177/00104140211024290
Subject MatterArticles
Article
Comparative Political Studies
2022, Vol. 55(1) 6092
© The Author(s) 2021
Article reuse guidelines:
sagepub.com/journals-permissions
DOI: 10.1177/00104140211024290
journals.sagepub.com/home/cps
Technological Risk and
Policy Preferences
Aina Gallego
1
,
Alexander Kuo
2
,
Dulce Manzano
3
, and
Jos´
e Fern´
andez-Albertos
4
Abstract
Despite recent attention to the economic and political consequences of
automation and technological change for workers, we lack data about con-
cerns and policy preferences about this structural change. We present hy-
potheses about the relationships among automation risk, subjective concerns
about technology, and policy preferences. We distinguish between prefer-
ences for compensatory policies versus protectionistpolicies to prevent
such technological change. Using original survey data from Spain that captures
multiple measures of automation risk, we nd that most workers believe that
the impact of new technologies in the workplace is positive, but there is a
concerned minority. Technological concern varies with objective vulnera-
bility, as workers at higher risk of technological displacement are more likely
to negatively view technology. Both correlational and experimental analyses
indicate little evidence that workers at risk or technologically concerned are
more likely to demand compensation. Instead, workers concerned about
technological displacement prefer policies to slow down technological change.
Keywords
automation, technology, public opinion, economic policy
1
Institut Barcelona dEstudis Internationals, Barcelona, Spain
2
University of Oxford, Oxford, MS, USA
3
Universidad Complutense de Madrid, Madrid, Spain
4
Centro Superior de Investigaciones Cient´
ıcas, Madrid, Spain
Corresponding Author:
Alexander Kuo, Manor Road Building, Manor Road, Oxford OX1 3UQ, UK.
Email: alexander.kuo@politics.ox.ac.uk
Introduction
Digital andautomation technologies aredisrupting labor markets and rekindling
fears abouttechnological unemployment.The question of whether robotization,
automation, andarticial intelligence (AI) will make current jobs disappear has
been the subject of increasing mainstream and academic attention (e.g.,
Acemoglu & Restrepo,2018). These fears have groundingin recent studies that
nd a net negative impact of specic technologies,such as industrial robots, on
the number of jobs and wages in local labor markets in the United States
(Acemoglu & Restrepo, 2020). There is growing concern among labor
economists that many occupations and workers are being threatened by rapid
advances in technology that will, absent policy interventions, pose a massive
threat to the wages and jobsecurity of some workers (IMF,2019). These trends
may be intensied with the covid-19 crisis and the extension of teleworking.
Despite the importance and controversy of this topic, we still know little
about the perceptions and demands of workers concerning technological
change. Are workers worried that the adoption of new technologies in the
workplace willhave negative consequences for theirjobs? Is this concern more
common among workers at a higher risk of substitution by technology? Do
perceptions of technological risk generate demand for different policies, and if
so, which ones?Understanding public concernsand preferences is necessary as
they can affect government responses to the structural challenge of accelerating
technological change. The relative inattention to these questions in political
science contrastswith the ample and instructive literature on how other sources
of job risk affect social-policy preferences, such as deindustrialization (Iversen
& Cusack, 2000), international trade and globalization (e.g., Walter, 2010,
2017), general occupational insecurity (Rehm, 2016), and the deregulation of
labor-market contracts (e.g., H¨
ausermann et al., 2015).
This article examines which workers are concerned about the introduction
of new technologies in the workplace and which policies they support to
address labor-market risks related to the introduction of technology. We make
two main contributions. We rst propose and test a set of hypotheses relating
objective risk of displacement due to the introduction of new technologies
(based on occupational characteristics) to subjective concern about the impact
of technological change in ones workplace. Subjective concern is often
assumed as a key mechanism for why exposure to job-downgrading risks
affects preferences, but such preoccupation is infrequently directly measured
regarding technological risk.
Our second contribution is to analyze how objective risks and subjective
concern affect policy preferences to address job consequences related to
technological change. We distinguish between two categories of policy
preferences. First, we consider policies to compensate for unemployment risks
via redistribution. Second, using the terminology regarding openness-based
Gallego et al. 61
risks, we categorize policies to prevent change (such as slowing down the pace
of technological change) or preserve the occupational status quo as protec-
tionistpolicies. These two policy categories to respond toeconomic structural
changes are often kept separate in studies of public preferences for policies.
Differentiating these policy preferences is relevant because such policies may
have different levels of support, regardless of their efciency consequences.
Although slowing down workplace technological change could be more
growth-reducing than redistribution, politicians may emphasize the former if it
gains popular support.
We test our hypotheses using a large survey from Spain, an economically
developed democracy where technological change has recently produced
transformationsin the labor-market structure,where there are still largenumbers
of workers at risk, but where these issues are not yet strongly politicized. We
measure individualsoccupation-based vulnerability to technological dis-
placement using two main approaches proposed in the literature, adapted to a
survey context. These are the standard measure of routine task intensity (RTI)
(Autor et al., 2003) and a measure about how frequently workers perform tasks
at low risk of automation (TLRA) (Arntz et al., 2017). We eld one of the few
surveys that include both these occupation and task-based measures of auto-
mation risk. After assessing if people at higher objective risk have higher
subjective concern, we test if either objective indicators or subjective concern
correlate with policy preferences. To assess if the effects of subjective concern
on policypreferences are plausiblycausal, we use a priming experimentto test if
individuals primedto think about technological change in the workplace adjust
their policy preferences, relative to a control group and to individuals primed
with other labor-related concerns.
We obtainthe following main ndings. First, peopleview the consequences
of the introductionof new technologies in the workplaceas positive, on average,
and there is little support for adopting measures to decelerate the adoption of
technology in the workplace. Second, we nd that task-based measures of
automation risk are more strongly correlated with subjective concern than
routine-task intensity measures. Third, the correlational and experimental an-
alyses indicate that individuals who are concerned about technology support
slowing down the pace of technological innovation. Fourth, we nd little
evidence thateither objective risks or subjectiveconcerns correlate with greater
demand for compensation policies.
Combined, our results nd little evidence of technological alarmism
among workers. But they also suggest that a potential reaction to feeling
threatened by technology is to demand that governments prevent technologi-
cal change rather than compensation. The rst section presents relevant
motivati on liter ature. The Theoretical Expectations section presents hypoth-
eses. The Data section presents the design. The Result section presents results
62 Comparative Political Studies 55(1)

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT