Powered by OpenAIRE graph
Found an issue? Give us feedback
https://doi.org/10.3...arrow_drop_down
https://doi.org/10.29338/wp202...
Article . 2025 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2025 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2025
Data sources: EconStor
versions View all 4 versions
addClaim

Bank Financing of Global Supply Chains

Authors: Laura Alfaro; Mariya Brussevich; Camelia Minoiu; Andrea Presbitero;

Bank Financing of Global Supply Chains

Abstract

Finding new international suppliers is costly, so most importers source inputs from a single country. We examine the role of banks in mitigating trade search costs during the 2018–19 US-China trade tensions. We match data on shipments to US ports with the US credit register to analyze trade and bank credit relationships at the bank-firm level. We show that importers of tariff-hit products from China were more likely to exit relationships with Chinese suppliers and find new suppliers in other Asian countries. To finance their geographic diversification, tariff-hit firms increased credit demand, drawing on bank credit lines and taking out loans at higher rates. Banks offering specialized trade finance services to Asian markets eased both financial and information frictions. Tariff-hit firms with specialized banks borrowed at lower rates and were 15 percentage points more likely and three months faster to establish new supplier relationships than firms with other banks. We estimate the cost of searching for suppliers at $1.9 million (or 5 percent of annual sales revenue) for the average US importer.

Keywords

financial frictions, trade policy, ddc:330, G21, bank lending, F34, supply chains, F42

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!