Impact of Supply Chain Infrastructure on Economic Welfare under External Shocks

Abstract

As the global economies are still working diligently to recover from the COVID-19 pandemic impact, both public and private organizations are working diligently to improve resiliency of supply chains against future shocks alike. Thus, it is critical to understand the relationship between the existing vulnerabilities and current state of supply chains. This study aims to contribute building a framework to investigate the relationship between the economic welfare and supply chain structure during external shocks. Machine Learning (ML) methods are used to conduct the required analyses. The results reveal the strong relationships between the variables chosen in building the model.