Natural disasters, trade credit, and firm performance
Shaojie Lai,
Lihan Chen,
Qing Sophie Wang and
Hamish Anderson
Economic Modelling, 2022, vol. 116, issue C
Abstract:
With the increasing frequency and intensity of destructive weather events, firms' access to financing following disasters is critical. Few studies have investigated firms' access to trade credit after natural disasters. We examine whether and how natural disasters, particularly urban floods, affect firms’ trade credit. Using a sample of Chinese companies from 2014 to 2019, we provide robust evidence that trade credit goes up after the occurrence of a flood disaster, an effect lasting about two years. The increase in trade credit is more pronounced for nonstate-owned, politically unconnected firms and firms located in areas with higher trust and collectivism. Channel analysis shows that the positive relationship is primarily due to credit constraints, confirming the substitution hypothesis of trade credit. Following a disaster, firms with access to additional trade credit experience a significant increase in firm performance. Our results are robust to endogeneity concerns and alternative explanations.
Keywords: Collectivism; Firm performance; Natural disasters; Political connections; Trade credit; Trust (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S026499932200267X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:116:y:2022:i:c:s026499932200267x
DOI: 10.1016/j.econmod.2022.106029
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().