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Learning to import from your peers

机译:学习从同行中导入

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We use firm-level data from Hungary to estimate knowledge spillovers in importing through fine spatial and managerial networks. By identifying from variation in peers' import experience across source countries, by comparing the spillover from neighboring buildings with a cross-street placebo, and by exploiting plausibly exogenous firm moves, we obtain credible estimates and establish three results. (1) There are significant knowledge spillovers in both spatial and managerial networks. Having a peer which has imported from a particular country more than doubles the probability of starting to import from that country, but the effect quickly decays with distance. (2) Spillovers are heterogeneous: they are stronger when firms or peers are larger or more productive, and exhibit complementarities in firm and peer productivity. (3) The model-implied social multiplier is highly skewed, implying that targeting an import-encouragement policy to firms with many and productive neighbors can make it 26% more effective. These results highlight the benefit of firm clusters in facilitating the diffusion of business practices.
机译:我们使用来自匈牙利的公司级数据来估计通过精细的空间和管理网络进行进口时的知识溢出。通过从不同来源国家/地区的同行的进口经验变化中识别出来,通过将相邻建筑物的溢出效应与过街安慰剂进行比较,并利用合理的外生性企业举动,我们获得了可靠的估计并建立了三个结果。 (1)在空间和管理网络中都有大量的知识溢出。拥有从特定国家/地区进口的同龄人,从该国家/地区开始进口的可能性增加了一倍以上,但是这种影响会随着距离的增加而迅速衰减。 (2)溢出是异质性的:当公司或同龄人规模更大或生产率更高时,溢出会更强,并且在公司和同业生产率上表现出互补性。 (3)隐含模型的社会乘数高度不对称,这意味着针对具有许多生产邻居的企业实施进口鼓励政策可以使其效率提高26%。这些结果凸显了企业集群在促进业务实践传播方面的优势。

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