Paper by Michael König accepted in the Proceedings of the National Academy of Sciences
The paper 'Aggregate fluctuations in adaptive production networks' by research fellow Michael D. König (Vrije Universiteit Amsterdam), Andrei Levchenko (University of Michigan, United States), Tim Rogers (University of Bath, United Kingdom), and Fabrizio Zilibotti (Yale University, United States) has been accepted in the Proceedings of the National Academy of Sciences.
To counteract the adverse effects of shocks, such as the global pandemic, on the economy, governments have discussed policies to improve the resilience of supply chains by reducing dependence on foreign suppliers. In this paper, we develop and quantify an adaptive production network model to study network resilience and the consequences of reshoring of supply chains. In our model, firms exit due to exogenous shocks or the propagation of shocks through the network, while firms can replace suppliers they have lost due to exit subject to switching costs and search frictions. Applying our model to a large international firm-level production network dataset, we find that restricting buyer–supplier links via reshoring policies reduces output and increases volatility and that volatility can be amplified through network adaptivity.
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Michael D. König, Andrei Levchenko, Tim Rogers, and Fabrizio Zilibotti, ““Aggregate fluctuations in adaptive production networks," Proceedings of the National Academy of Sciences, accepted July 10, 2022, doi.org/10.1073/pnas.22037301.