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Learning to import from your peers

2018/10/12 by Márta Bisztray, Miklós Koren, Adam Szeidl +1 · 1 citation
Economics, Econometrics and Finance · #Econometrics #Economic Policies and Impacts #Economic geography #Economics #Economies of agglomeration #Global trade and economics #Industrial organization #Knowledge spillover #Macroeconomics #Microeconomics #Multiplier (economics) #Peer effects #Productivity #Regional Economics and Spatial Analysis #Spatial econometrics #Spillover effect

paper · pdf · doi:10.1016/j.jinteco.2018.09.010

openalex publication_date 2018/10/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04

Abstract

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.

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