Luddite or technophile?-policy preferences for governing technology-driven economic change
Bibliographic Data
| ID | 4237232 |
|---|---|
| Authors | Jaewook Lee (0000-0001-8405-8469, University of Milan, corresponding author) |
| Year | 2024 |
| Volume | 22 |
| Issue | 3 |
| Pages | 1019-1046 |
| Publication date | 2024-07-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Socio-Economic Review (JOURNAL) |
| Journal identifiers | ISSN: 1475-1461 • E-ISSN: 1475-147X |
| DOI | 10.1093/ser/mwae025 |
| OpenAlex | W4396975526 |
| Language | EN |
| Citations received | 4 |
| References cited | 61 |
Recent robotics and artificial intelligence advancements have exacerbated fears of technology-driven unemployment and inequality. However, the relationship between automation risks and regulatory policy support remains inconclusive. Moreover, the role of institutional safety net in shaping this connection, and factors influencing preference shifts regarding automation, remain understudied. This study conducts an online survey experiment in the UK and Sweden to address these gaps. First, we find subjective concern, and occupational risks combined with perceived weaker labor market safeguards, lead to calls for automation restriction and job loss compensation. These trends are particularly pronounced in the UK, where institutional protection for workers is less robust. Second, people support accelerating technology-driven change when they see its benefits shared widely, but this shift is mainly observed among individuals relatively safer from automation risks. Our findings suggest strengthening the institutional safety net and envisioning equitable benefit-sharing are crucial for moderating public anxiety toward technology-driven economic change
Economics · Natural resource economics · Political science · Economic Policies and Impacts · Economic Theory and Policy · Social Policy and Reform Studies
Explaining Job Polarization
The logic of comparative social Inquiry
Conflict or cooperation? Exploring the relationship between cooperative institutions and robotisation
Class Attitudes in America
Varieties of Capitalism
Varieties and Commonalities of Capitalism
Who Wants What?
Varieties of Liberalization and the New Politics of Social Solidarity
The Race between Education and Technology
The “losers of automation”
Shrinking and shouting
Did State Responses to Automation Matter for Voters
Routine-biased technical change and job polarization in Europe
Labour-market competition, recession and anti-immigrant sentiments in Europe
Preferred policy responses to technological change
Self-interest versus sociotropic considerations
Automation and public support for workfare
Who gets labour market training? Access biases of social investment in Finland
Technological change and the ‘self‐acting’ mule
Political machinery
Rethinking country effects
Fifty years of welfare state generosity
The Choice Revolution
A Rational Theory of the Size of Government
Robots and Firms
Untangling Trade and Technology
The Trade Origins of Economic Nationalism
Trajectories of Neoliberal Transformation
Misattributed blame? Attitudes toward globalization in the age of automation
The Impact of In-group Favoritism on Trade Preferences
Support for Free Trade
Why Don't Trade Preferences Reflect Economic Self-Interest
Occupation and the Political Economy of Trade
Investing in the knowledge economy
Preferences in Context
Dealing with Technological Change
Occupations as a Site of Political Preference Formation
Technological Risk and Policy Preferences
Automation and the Welfare State
The Declining Middle
Economic and Cultural Drivers of Immigrant Support Worldwide
The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market
The Philosophy of Luddism
Gone For Good
An Asset Theory of Social Policy Preferences
The Moral Economy of the English Crowd in the Eighteenth Century
Upgrading China through Automation
Cooperation and Political Economic Performance in Affluent Democratic Capitalism
| Unique citing works | 4 |
|---|---|
| Citations per year | 4 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |