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自适应生产网络的综合波动。

Aggregate fluctuations in adaptive production networks.

机构信息

Centre for Economic Policy Research, London, EC1V 0DX, United Kingdom.

KOF Swiss Economic Institute, ETH Zurich, 8092 Zurich, Switzerland.

出版信息

Proc Natl Acad Sci U S A. 2022 Sep 20;119(38):e2203730119. doi: 10.1073/pnas.2203730119. Epub 2022 Sep 12.

Abstract

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.

摘要

为了抵消全球大流行等冲击对经济的不利影响,各国政府讨论了通过减少对外国供应商的依赖来提高供应链弹性的政策。在本文中,我们开发并量化了一个自适应生产网络模型,以研究网络弹性和供应链回流的后果。在我们的模型中,企业由于外部冲击或冲击通过网络传播而退出,而企业可以在存在转换成本和搜索摩擦的情况下,用新的供应商替代因退出而失去的供应商。我们将模型应用于一个大型国际企业层面的生产网络数据集,发现通过回流政策限制买家-供应商的联系会降低产出并增加波动,而波动可以通过网络适应性放大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b4cd/9499558/037849fc1ac3/pnas.2203730119fig01.jpg

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