Propagation and Amplification of Local Productivity Spillovers

Xavier Giroud, Simone Lenzu, Quinn Maingi, Holger M. Mueller
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引用次数: 11

Abstract

This paper shows that local productivity spillovers propagate throughout the economy through the plant-level networks of multi-region firms. Using confidential Census plant-level data, we show that large manufacturing plant openings not only raise the productivity of local plants but also of distant plants hundreds of miles away, which belong to multi-region firms that are exposed to the local productivity spillover through one of their plants. To quantify the significance of plant-level networks for the propagation and amplification of local productivity shocks, we develop and estimate a quantitative spatial model in which plants of multi-region firms are linked through shared knowledge. Our model features heterogeneous regions, which interact through goods trade and labor markets, as well as within-location, across-plant heterogeneity in productivity, wages, and employment. Counterfactual exercises show that while knowledge sharing through plant-level networks amplifies the aggregate effects of local productivity shocks, it widens economic disparities between individual workers and regions in the economy.
地方生产力溢出效应的传播与放大
本文表明,地方生产率溢出效应通过多地区企业的工厂级网络在整个经济中传播。使用机密的普查局工厂级数据,我们表明,大型制造工厂的开设不仅提高了当地工厂的生产率,也提高了数百英里外的遥远工厂的生产率,这些工厂属于多地区公司,通过其中一家工厂暴露于当地生产率溢出。为了量化工厂层面网络对本地生产力冲击传播和放大的重要性,我们开发并估计了一个定量空间模型,其中多地区企业的工厂通过共享知识联系在一起。我们的模型以异质区域为特征,这些区域通过商品贸易和劳动力市场相互作用,并在生产率、工资和就业方面存在区位内、工厂间的异质性。反事实的实践表明,虽然通过工厂级网络的知识共享放大了地方生产率冲击的总体效应,但它扩大了个体工人和经济区域之间的经济差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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