G2TT
来源类型Discussion paper
规范类型论文
来源IDDP13200
DP13200 Learning to Import from Your Peers
Márta Bisztray; Miklós Koren; Adam Szeidl
发表日期2018-09-24
出版年2018
语种英语
摘要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.
主题International Trade and Regional Economics
关键词Imports Peer effects Spatial spillovers Manager networks Social multiplier
URLhttps://cepr.org/publications/dp13200
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/542003
推荐引用方式
GB/T 7714
Márta Bisztray,Miklós Koren,Adam Szeidl. DP13200 Learning to Import from Your Peers. 2018.
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