The political extremes and innovation: How support for extreme parties shapes overall and green scientific research and technological innovation in Europe
Andrés Rodríguez-Pose , Zhuoying You , Peter Teirlinck
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引用次数: 0
Abstract
This paper explores the relationship between support for extreme political parties and research and innovation across regions in the European Union (EU). Extreme parties often exhibit deep scepticism towards expertise and science, with extreme right-wing parties, in particular, challenging the legitimacy of climate change; an attitude that may weaken green research and innovation. We draw on data from 1137 EU regions —including scientific publication and patent records— and apply Tobit regression models to find that stronger support for extreme parties is associated with lower levels of scientific research and technological innovation, both overall and in their green forms. While this pattern is visible across the political spectrum, important differences emerge. Support for extreme right-wing parties is consistently tied to reduced research output and innovation performance, particularly in green technological sectors. By contrast, the relationship with extreme left-wing support is more variable, depending on the degree of radicalism, and shows no consistent negative connection with green innovation.
期刊介绍:
Research Policy (RP) articles explore the interaction between innovation, technology, or research, and economic, social, political, and organizational processes, both empirically and theoretically. All RP papers are expected to provide insights with implications for policy or management.
Research Policy (RP) is a multidisciplinary journal focused on analyzing, understanding, and effectively addressing the challenges posed by innovation, technology, R&D, and science. This includes activities related to knowledge creation, diffusion, acquisition, and exploitation in the form of new or improved products, processes, or services, across economic, policy, management, organizational, and environmental dimensions.