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Urban community-level stay-at-home orders and small businesses: Evidence from chain restaurants in Beijing during the COVID-19 pandemic

  • Xiaoou Liu
  • , Xiangrui Wang
  • , Di Wu*
  • , Yue Xu
  • , Wentao Zhang
  • , You Zhou
  • *Corresponding author for this work
  • School of Agricultural Economics and Rural Development
  • School of Management, Harbin Institute of Technology
  • Central University of Finance and Economics
  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Non-pharmaceutical interventions (NPIs) can effectively contain the spread of the coronavirus disease 2019 (COVID-19) when implemented promptly and decisively. However, legislative concerns on the economic repercussions of NPIs often delay their rollout. Utilizing proprietary transaction-level data from two major restaurant chains, we quantitatively assess the effects of stay-at-home (SAH) orders implemented during the COVID-19 pandemic. Our findings indicate a significant 17.5 % decrease in revenue for restaurants affected by these orders, with a more pronounced impact observed in densely populated areas. The study also reveals a notable decline in home delivery revenues, suggesting a comprehensive disruption in both dine-in and delivery services. However, post-lifting of the SAH orders, we document a rapid diminishment in the revenue disparity between affected and unaffected restaurants, followed by a robust rebound in overall performance within several weeks. Our study contributes to the broader discourse on the resilience and adaptability of small businesses in the face of public health crises, providing a foundation for future research and policy formulation in pandemic resilience planning.

Original languageEnglish
Article number104948
JournalCities
Volume149
DOIs
StatePublished - Jun 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-2019
  • Non-pharmaceutical interventions
  • Restaurant business

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