6533b82bfe1ef96bd128e310
RESEARCH PRODUCT
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)
Daniel Palacios-marquésVirginia Simón-moyaCarlos Llopis-albertsubject
Automòbils Indústria i comerçFuzzy setsGreenhouse gas (GHG) emissionsElectric vehicles020209 energyINGENIERIA MECANICAAutomotive industryClimate change02 engineering and technologyManagement of Technology and Innovation0502 economics and business0202 electrical engineering electronic engineering information engineeringDesenvolupament sostenibleClimate changeBusiness and International ManagementApplied PsychologySustainable developmentQualitative comparative analysisbusiness.industry05 social sciencesGlobal warmingQualitative comparative analysisEnvironmental economicsSoftware deploymentTransparency (graphic)Greenhouse gasORGANIZACION DE EMPRESASBusiness050203 business & managementAire ContaminacióDecision-makingdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-08-01 |