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)
Publication Year: 2021
Author(s): Llopis-Albert C, Palacios-Marqu´es D, Simon-Moya V
Abstract:
Several intergovernmental bodies have advocated decarbonization strategies in response to climate change threats in order to avoid exceeding the 1.5°C or 2°C protection thresholds. In this context, transportation contributes significantly to greenhouse gas (GHG) emissions and fossil fuel depletion. 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 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. Actively involving stakeholders with conflicting interests in management decisions has positive effects on firms’ performance. It provides higher levels of transparency, fairness, social equity, and consensus.
Source of Publication: Technological Forecasting and Social Change
Vol/Issue: 169, 120843: 1-7p.
DOI No.: 10.1016/j.techfore.2021.120843
Country: Spain
Publisher/Organisation: Elsevier Inc.
Rights: CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Theme: Vehicle Technology | Subtheme: Electric vehicles
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