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Why should the EU implement electric vehicles? Viewing the relationship between evidence and dominant policy solutions through the lens of complexity

Abstract Electric vehicles are a dominant policy solution in the EU. In policy documents, a transition to electric vehicles is justified through promises of a reduction in greenhouse gas (GHG) emissions and oil imports, as well as positive impacts on citizens (through reduced pollution) and the economy (through a boost in manufacturing and the generation of jobs). The evidence supporting such claims remains uncertain. Taking a stance that is grounded in complexity science, we introduce a hierarchical mapping of policy mechanisms, concerns and solutions – the elements making up policy narratives. Building on this mapping, we focus on questioning the solution-justification relationship for electric vehicles, by critically inspecting the material coherence between these justifications and the existing existing evidence. A targeted review shows how, for example, positive economic impacts largely depend on the location of battery and car manufacturing; or GHG emission reductions depend on promises of decarbonisation of the electricity sector, as well as on driving behaviours. Innovations are not just material objects, and such evidence does not necessarily weaken the dominant policy solution, nor the socio-technical imaginary it is grounded in. By questioning the material coherence of EV justification narratives in the EU, this case study points to a discussion about the effects of dominant policy narratives on the generation of science, warning against policy-based evidence in the co-creation of socio-technical imaginaries.
Electric cars, Complexity, Science-policy interface, Evidence-based policy, Narratives
Electric cars, Complexity, Science-policy interface, Evidence-based policy, Narratives
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).22 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 5 download downloads 14 - 5views14downloads
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