Impact of Industrial and Geographical Concentrations of Upstream Industries on Firm Performance during COVID-19
35 Pages Posted: 24 Jan 2023 Last revised: 6 Sep 2023
Date Written: January 20, 2023
Abstract
Using a large sample of supplier-firm relationships, we develop new measures to operationalize
the industrial and geographical concentrations of firms' upstream industries. The developed measures show an upstream industry might be competitive and contain many suppliers (low industrial concentration) and yet be concentrated in a few nations or small geographical areas (high geographical concentration), thus leaving the downstream firm vulnerable to geographical or geopolitical disruptions. Using COVID-19 as an exogenous shock, we document that the firms whose upstream suppliers are operating in industries that have high geographical concentration, on average, experienced a reduction of 250 million US dollars in quarterly sales. Thus, competitive industries with ample suppliers may still impose significant risks on downstream firms if the upstream suppliers' industries are concentrated mainly in a few nations or small geographical areas. We find evidence that the link between upstream suppliers' industry-level concentrations and downstream firms' sales growth is heterogeneous. Specifically, firms can moderate the negative relationship by adjusting their supply chain networks. The negative relationship is weaker for firms with a geopolitically diversified supply base and firms with more domestic suppliers. Our estimates are robust and consistently identified through several different empirical strategies. The results of this study may serve to help policymakers and managers systematically identify locations in supply networks that have the potential to create bottlenecks. These bottlenecks may cause severe shortages or even threaten national security. Additionally, the measures give insights to policymakers into which industries to support for onshoring.
Keywords: Supplier Industry Characteristic, Disruption, Global Supply Chain, Empirical Research
JEL Classification: M1
Suggested Citation: Suggested Citation