Targeting a Lending Discrimination Investigation

Author(s):  
Ann Chud ◽  
Hal Bonnette
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marc Cowling ◽  
Weixi Liu ◽  
Elaine Conway

PurposeUsing ethnicity as our point of focus, the authors consider the dynamics of the demand for bank loans, and the willingness of banks to supply them, as the UK economy entered the COVID-19 pandemic in early 2020 with a particular focus on potential behavioural differences on the demand-side and discrimination on the supply-side. In doing so we directly address crisis induced financial concerns and how they played out in the context of ethnicity.Design/methodology/approachUsing the most recent ten quarterly waves of the UK SME Finance Monitor survey the authors consider whether ethnicity of the business owner impacts on the decision to apply for bank loans in the first instance. The authors then question whether ethnicity influences the banks decision to meet or reject the request for a bank loan.FindingsThe authors’ pre-COVID-19 results show that there were no ethnic differences in loan application and success rates. During COVID-19, both white and ethnic business loan application rates rose significantly, but the scale of this increase was greater for ethnic businesses. The presence of government 100% guaranteed lending also increased general loan success rates, but again the scale of this improvement was greater for ethnic businesses.Research limitations/implicationsThe authors show very clearly that differences in the willingness of banks to supply loans to SMEs relate very explicitly to firm specific characteristics and ethnicity either plays no additional role or actually leads to improved loan outcomes. The data is for the UK and for a very unique COVID time which may mean that wider generalisability is unwise.Practical implicationsEthnic business owners should not worry about lending discrimination or be discouraged from applying for loans.Social implicationsThe authors identify at worst no lending discrimination and at best positive ethnic discrimination.Originality/valueThis is one of the largest COVID-19 period studies into the financing of ethnic businesses.


2019 ◽  
Author(s):  
Robert Bartlett ◽  
Adair Morse ◽  
Richard Stanton ◽  
Nancy Wallace

1983 ◽  
Vol 11 (1) ◽  
pp. 97-103 ◽  
Author(s):  
David E. Bloom ◽  
Beth Preiss ◽  
James Trussell

1995 ◽  
Vol 23 (3) ◽  
pp. 37-74 ◽  
Author(s):  
Gary Arthur Dymski

This article addresses a gap in the economic literature on race and credit markets: the theoretical basis of lending discrimination and redlining. It provides a unified model for exploring why discrimination and redlining exist in credit markets. This model is first used to examine three explanations offered by other authors—bigotry, differential risk, and market segmentation. The article then suggests several new explanations of race effects. These emphasize the interlinkage between labor and credit markets; market spillovers due to housing liquidity, refurbishment, and branch location effects; and strategic interaction among lenders.


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