COVID-19 Impacts on Minority Businesses and Systemic ...

COVID-19 Impacts on Minority Businesses and Systemic Inequality

Paul Ong Andre Comandom Nicholas DiRago Lauren Harper October 30, 2020

Acknowledgments

This project was partially supported with grants from the UCLA Luskin School of Public Affairs (funded by Southern California Grantmakers) and from the UCLA Asian American Studies Center (funded by the Stanley Kow Lau and Dora Wong Lau Endowment). Data was made available by SafeGraph and StreetLight. Computational and storage services associated with the Hoffman2 Shared Cluster were provided by UCLA Institute for Digital Research and Education's Research Technology Group. This research was also partially supported by the California Center for Population Research at UCLA, including training support from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD007545).

Disclaimer

The views expressed herein are those of the authors and not necessarily those of the University of California, Los Angeles or the University of California. The authors alone are responsible for the content of this report.

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Table of Contents

7 Background 12 Case Sites 18 Data and Methods 20 Results 26 Conclusion

PHOTO BY ERIK MCLEAN, 2020

Abstract

This study examines the impact of the COVID-19 pandemic on small businesses in ethnic neighborhoods in Los Angeles. Location data from SafeGraph are used to analyze foot traffic patterns to restaurants and retail locations in ethnic and comparison neighborhoods from February through September 2020. The results indicate an earlier and steeper decline in commercial activity in Chinatown and, while retail was resilient in ethnic neighborhoods, restaurants suffered greater declines on average than in comparison neighborhoods. Overall, the ethnic neighborhoods collectively performed worse than the county as a whole prior to lockdown and performed no better than the county under shelter-inplace orders. This study contributes to the growing body of research around the disproportionate impacts of the pandemic on communities of color and recommends data-driven policy solutions to inform assistance and recovery policies and programs.

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