Fuzzy set qualitative comparative analysis (fsQCA) applied to the adaptation of the automobile industry to meet the emission standards of climate change policies via the deployment of electric vehicles (EVs)

•Electric vehicle deployment plays a major role to reduce greenhouse gas (GHG) emissions.•GHG emissions influence the innovation of climate-related technologies.•The best adaptation strategies of the automotive industry to climate change targets are analyzed using a fsQCA.•Actors’ satisfaction entai...

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Bibliographic Details
Published in:Technological forecasting & social change 2021-08, Vol.169, p.120843, Article 120843
Main Authors: Llopis-Albert, Carlos, Palacios-Marqués, Daniel, Simón-Moya, Virginia
Format: Article
Language:English
Subjects:
Adaptation
Alternative fuel vehicles
Automobile industry
Automobiles
Case studies
Climate change
Climate policy
Comparative analysis
Decision-making
Electric vehicles
Emission standards
Environmental policy
Fairness
Fuzzy sets
Global climate
Global warming
Greenhouse effect
Greenhouse gas (GHG) emissions
Greenhouse gases
Motor vehicles
Qualitative analysis
Qualitative comparative analysis
Satisfaction
Strategies
Sustainable development
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Summary:•Electric vehicle deployment plays a major role to reduce greenhouse gas (GHG) emissions.•GHG emissions influence the innovation of climate-related technologies.•The best adaptation strategies of the automotive industry to climate change targets are analyzed using a fsQCA.•Actors’ satisfaction entails a combination of management, legal, financial, and technological factors. Facing global climate change challenges entails a sustainable development of transportation. Governments and automobile manufacturers are highly aware of how a large-scale deployment of Electric Vehicles (EVs) can reduce greenhouse gas (GHG) emissions and mitigate global warming. This study aids the design of the adaptation strategies of the automotive industry to meet global goals on climate change by means of a fuzzy-set qualitative comparative analysis (fsQCA), which makes it possible to measure the level of actors’ satisfaction. This allows identification of a combination of factors leading to the outcome while dealing with uncertain environments due to the heterogeneous nature of actors with conflicting of interests. The methodology has been successfully applied to a case study, thus providing greater transparency, fairness, social equity, and consensus among actors.
ISSN:0040-1625
1873-5509
DOI:10.1016/j.techfore.2021.120843