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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)

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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)

dc.contributor.author	Llopis Albert, Carlos
dc.contributor.author	Palacios Marqués, Daniel
dc.contributor.author	Simón Moya, Virginia
dc.date.accessioned	2022-05-23T14:39:02Z
dc.date.available	2022-05-23T14:39:02Z
dc.date.issued	2021
dc.identifier.citation	Llopis Albert, Carlos Palacios Marqués, Daniel Simón Moya, Virginia 2021 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) Technological Forecasting and Social Change 169 120843
dc.identifier.uri	https://hdl.handle.net/10550/82959
dc.description.abstract	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.
dc.language.iso	eng
dc.relation.ispartof	Technological Forecasting and Social Change, 2021, vol. 169, p. 120843
dc.subject	Desenvolupament sostenible
dc.subject	Automòbils Indústria i comerç
dc.subject	Aire Contaminació
dc.title	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)
dc.type	journal article	es_ES
dc.date.updated	2022-05-23T14:39:03Z
dc.identifier.doi	10.1016/j.techfore.2021.120843
dc.identifier.idgrec	153716
dc.rights.accessRights	open access	es_ES