Racial Discrimination and Anti-discrimination: The COVID-19 Pandemic’s Impact on Chinese Restaurants in North America

Chuang Tang (), Shaobo (Kevin) Li (), Yi Ding (), Ram D. Gopal () and Guanglei Zhang ()
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Chuang Tang: HSBC Business School, Peking University, Shenzhen 518055, China
Shaobo (Kevin) Li: Division of Information System & Management Engineering, SUSTech Business School, Southern University of Science and Technology, Shenzhen 518055, China
Yi Ding: Warwick Business School, University of Warwick, Coventry CV4 7AL, United Kingdom
Ram D. Gopal: Warwick Business School, University of Warwick, Coventry CV4 7AL, United Kingdom
Guanglei Zhang: School of Management, Wuhan University of Technology, Wuhan 430070, China

Information Systems Research, 2024, vol. 35, issue 3, 1274-1295

Abstract: The coronavirus disease 2019 (COVID-19) pandemic has led to an increase in cases of racial discrimination against Asians, especially Chinese people. Despite an emerging stream of studies investigating various aspects of the COVID-19 pandemic, research on the behavioral consequences of racial discrimination during the pandemic remains scarce. In this work, we examined how racial discrimination stemming from the COVID-19 pandemic and subsequent anti-discrimination were manifested on online platforms. By combining difference-in-differences analyses on two large-scale panel data sets from Yelp.com and SafeGraph and two controlled experiments, we explored the impact of COVID-19 on Chinese restaurants relative to non-Chinese restaurants at different phases of the COVID-19 pandemic. We found that the COVID-19 pandemic led to an immediate increase in racial discrimination, which was reflected in a significant drop in the customer patronage frequency of Chinese restaurants as compared with that of non-Chinese restaurants. Furthermore, analyses using multiple behavioral indicators generated by text mining and machine learning techniques consistently suggested that increased discrimination triggered anti-discrimination actions of customers on online platforms after the COVID-19 outbreak. This study contributes to the literature on racial discrimination by investigating a subtle but more factual form of racial discrimination evidenced by the customer patronage of Chinese restaurants as well as user-generated content by demonstrating that consumers can fight discrimination on online platforms.

Keywords: COVID-19 pandemic; racial discrimination; anti-discrimination; Chinese restaurant (search for similar items in EconPapers)
Date: 2024
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