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EconStor
Research . 2022
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Steeling the race: ‘Green steel’ as the new clean material in the automotive sector

Authors: Muslemani, Hasan; Ascui, Francisco; Kaesehage, Kathi; Liang, Xi; Wilson, Jeffrey;

Steeling the race: ‘Green steel’ as the new clean material in the automotive sector

Abstract

This paper aims to examine consumer behaviour towards, and the willingness to adopt, ‘green steel’ in the automotive sector. Semi-structured interviews were held with experts from global, regional and country-specific industry associations and automakers. This paper appraises potential demand for green steel within different vehicle types (based both on size and powertrain) and shows that manufacturers of electric heavy-duty vehicles are most likely to be the first adopters of green steel. A case for green advanced higher-strength steels (AHSS) can also be made in light-duty passenger vehicles, which may mitigate competition from alternative lightweight materials in terms of cost and greenness (depending on source and utilization regions). This work emphasizes a need to revisit current CO2 performance regulations, engage in educational green marketing campaigns, and explore innovative market-based mechanisms to bridge the gap between relatively-low carbon abatement costs of steelmaking and high abatement costs of vehicle manufacturing.

Country
United Kingdom
Keywords

ddc:330, Green steel, steelmaking, consumer behaviour, automotive sector, green marketing, Regulations, carbon abatement

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    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green