How Information Frictions Impacted the Efficacy of the Paycheck Protection Program in Mitigating the Economic Constraints Faced by Small Businesses from COVID-19

Doctoral Candidate Name: 
Min-Seung Kim
Program: 
Business Administration: DBA
Abstract: 

This research uses PPP loan data from the Small Business Administration (SBA) to investigate whether information frictions contributed to disproportionate PPP loan disbursements to certain racial and socioeconomic groups. This analysis makes several contributions. First, it adds to the body of literature on the PPP program, the impact of COVID-19 on small businesses, and government subsidy programs designed to mitigate economic crises. Prior research on the PPP program examined whether loans were allocated to business owners based on socio-demographic factors. Atkins et al. (2022) find a negative relationship between a community’s minority share of business owners and disbursed PPP loan amounts. Likewise, Howell et al. (2021) report that minority business owners were less likely to obtain PPP loans. We build on these existing studies by conceptualizing information frictions. To our knowledge, this is the first study to conceptualize information frictions into three main drivers, socio-demographic bias, financial institution access, and digital literacy, and to explain the relationship between information frictions and the efficacy of the PPP program.

Defense Date and Time: 
Monday, April 10, 2023 - 1:00pm
Defense Location: 
https://charlotte-edu.zoom.us/j/93615128218?pwd=ZXplczFQWStHazE4aTJmN0tac2hxUT09
Committee Chair's Name: 
SungJune Park
Committee Members: 
Chandra Subramaniam, Xue Guo, Franz Kellermanns