In 2020, several countries implemented restrictive measures on a wide range of busi- ness activities as a crucial step to control the rapid spread of the COVID-19 pan- demic. In the urgency of the situation, many nations swiftly implemented extensive and stringent lockdown measures, causing significant disruptions to global supply chains and inflicting severe consequences on the worldwide economy. In hindsight, we now contemplate whether implementing targeted restrictions, considering the understanding of supply-chain networks, could have mitigated the negative impacts. In this regard, we direct our attention to the global automotive sector. First, we examine the features of its supply-chain network (SCN), using original data on 3323 companies linked by 11,182 trade connections. Second, we assess the short-term effects of different lockdown policies through agent-based simulation models. Our findings suggest that not all companies play the same role in the supply chain, so that the specific position of a company shall be considered when adopting lockdown measures. Furthermore, companies with a high elasticity of substitution of produc- tive inputs are less affected by restrictions than those with a rigid input mix. There- fore, targeted lockdown policies may be less costly than those where all companies in some sectors are locked down. Our results may provide policymakers with valu- able information about the relative costs of different lockdown interventions. Also, we suggest company managers to adopt flexible supply management strategies.

Evaluation of the pandemic impact on global automotive supply chain through network analysis / Flori, Elisa; Paterlini, Sandra; Pattarin, Francesco; Villani, Marco. - In: JOURNAL OF ECONOMIC INTERACTION AND COORDINATION. - ISSN 1860-711X. - 2024:(2025). [10.1007/s11403-024-00440-0]

Evaluation of the pandemic impact on global automotive supply chain through network analysis

Flori, Elisa
Primo
;
Paterlini, Sandra
Secondo
;
2025-01-01

Abstract

In 2020, several countries implemented restrictive measures on a wide range of busi- ness activities as a crucial step to control the rapid spread of the COVID-19 pan- demic. In the urgency of the situation, many nations swiftly implemented extensive and stringent lockdown measures, causing significant disruptions to global supply chains and inflicting severe consequences on the worldwide economy. In hindsight, we now contemplate whether implementing targeted restrictions, considering the understanding of supply-chain networks, could have mitigated the negative impacts. In this regard, we direct our attention to the global automotive sector. First, we examine the features of its supply-chain network (SCN), using original data on 3323 companies linked by 11,182 trade connections. Second, we assess the short-term effects of different lockdown policies through agent-based simulation models. Our findings suggest that not all companies play the same role in the supply chain, so that the specific position of a company shall be considered when adopting lockdown measures. Furthermore, companies with a high elasticity of substitution of produc- tive inputs are less affected by restrictions than those with a rigid input mix. There- fore, targeted lockdown policies may be less costly than those where all companies in some sectors are locked down. Our results may provide policymakers with valu- able information about the relative costs of different lockdown interventions. Also, we suggest company managers to adopt flexible supply management strategies.
2025
Flori, Elisa; Paterlini, Sandra; Pattarin, Francesco; Villani, Marco
Evaluation of the pandemic impact on global automotive supply chain through network analysis / Flori, Elisa; Paterlini, Sandra; Pattarin, Francesco; Villani, Marco. - In: JOURNAL OF ECONOMIC INTERACTION AND COORDINATION. - ISSN 1860-711X. - 2024:(2025). [10.1007/s11403-024-00440-0]
File in questo prodotto:
File Dimensione Formato  
florietalarticle_JEIC.pdf

Solo gestori archivio

Descrizione: PDF online-first
Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.62 MB
Formato Adobe PDF
1.62 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/443172
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact