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Modeling potential impact of COVID-19 pandemic on global electric vehicle supply chain.
Sun, Xin; Liu, Gang; Hao, Han; Liu, Zongwei; Zhao, Fuquan.
  • Sun X; State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China.
  • Liu G; Tsinghua-Rio Tinto Joint Research Center for Resources Energy and Sustainable Development, Tsinghua University, Beijing 100084, China.
  • Hao H; SDU Life Cycle Engineering, Department of Green Technology, University of Southern Denmark, 5230 Odense, Denmark.
  • Liu Z; State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China.
  • Zhao F; Tsinghua-Rio Tinto Joint Research Center for Resources Energy and Sustainable Development, Tsinghua University, Beijing 100084, China.
iScience ; 25(3): 103903, 2022 Mar 18.
Artículo en Inglés | MEDLINE | ID: covidwho-1676778
ABSTRACT
The on-going COVID-19 pandemic and consequent lockdowns cast significant impacts on global economy in the short run. Their impact on stability of global electric vehicles (EVs) supply chain and thus our climate ambition in the long run, however, remains hitherto largely unexplored. We aim to address this gap based on an integrated model framework, including assessing supply risks of 17 selected core commodities throughout the EV supply chain and further applying the supply constraints to project future EV sales until 2030. Our model results under three pandemic development scenarios indicate that if the pandemic is effectively contained before 2024, the global EV industry will recover without fundamentally scathed and thus can maintain the same growth trend as in the no-pandemic scenario by 2030. We suggest that fiscal stimulus in the postpandemic era should be directed more toward upgrading the quality of battery products, rather than expanding the production capacity.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudio experimental / Estudio pronóstico Idioma: Inglés Revista: IScience Año: 2022 Tipo del documento: Artículo País de afiliación: J.isci.2022.103903

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudio experimental / Estudio pronóstico Idioma: Inglés Revista: IScience Año: 2022 Tipo del documento: Artículo País de afiliación: J.isci.2022.103903