Marius R. Busemeyer, Sophia Stutzmann, Tobias Tober
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引用次数: 0
Abstract
How do citizens perceive labor market risks related to digitalization and the green transition, and how do these risk perceptions translate into preferences for social policies? We address these questions in this paper by studying the policy preferences of individual workers on how governments should deal with the two labor market challenges of digitalization and the green transition. Employing novel cross‐country comparative survey data including a vignette experiment for six advanced postindustrial economies, we probe to what extent the different labor market challenges are associated with differences in preferences, distinguishing between support for social investment policies on the one hand and compensatory policies on the other. A first finding is that even though individuals perceive different levels of labor market risk due to the green transition and digitalization, their preferences for social policy responses do not differ systematically across the two risks. Instead, we find that social policy preferences are affected by individual‐level and, to some extent, country‐level contextual factors. Confirming previous work, higher perceived labor market risk is associated with more support for compensatory policies but less support for social investment.
期刊介绍:
Regulation & Governance serves as the leading platform for the study of regulation and governance by political scientists, lawyers, sociologists, historians, criminologists, psychologists, anthropologists, economists and others. Research on regulation and governance, once fragmented across various disciplines and subject areas, has emerged at the cutting edge of paradigmatic change in the social sciences. Through the peer-reviewed journal Regulation & Governance, we seek to advance discussions between various disciplines about regulation and governance, promote the development of new theoretical and empirical understanding, and serve the growing needs of practitioners for a useful academic reference.