Statistical analysis of small business survival under the shock of multiple COVID-19 waves: A case study from Wuhan, China

Abstract

The long-term viability of small businesses in the aftermath of multiple pandemics and consequent lockdowns has a crucial impact on the sustainable economic and social development of any region across the world. Thus, in order to investigate what has been the major impact of COVID-19 pandemic within local small businesses and to identify which main factors helped small businesses to survive none as well as multiple lockdowns, data were obtained from 382 small businesses in the main urban area of Wuhan, China, via two rounds of field investigations and surveys in July 2020 and July 2022. This paper presents the results of the field investigations and the surveys completed and describes the Bayesian methods applied to quantitatively explore the impact of different variables on the probability of each business to remain active and open even after experiencing none or multiple lockdowns. Results obtained show that the difference between survival rates associated with businesses hit by no pandemic outbreak with those hit by one or several waves is negligible. Furthermore, owners who had higher confidence in their abilities since the beginning or they implemented an accurate evaluation of their strategies to run their businesses since the start of the pandemic, demonstrated to have a higher probability to keep their business alive with none as well as additional waves of the pandemic. Reduction of employees, transition of operations and promotion activities online as well as rent subsidies and tax reduction were identified as crucial actions that enhanced the probability to maintain alive businesses that experienced at least one lockdown. Globally, there was no clear policy approach at the start of the pandemic, however this study clearly determines that in future governments should provide timely support to small businesses in regions experiencing more severe impacts of the pandemic, and this should consist of a mix of grants, loans, and temporary tax cuts since initial stages.

Publication DOI: https://doi.org/10.3389/fenvs.2023.1092768
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering
Additional Information: Copyright © 2023 Li, Rubinato, Zhou, Li and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Uncontrolled Keywords: SDG 11 - Sustainable Cities and Communities,SDG 13 - Climate Action
Publication ISSN: 2296-665X
Last Modified: 19 Dec 2024 08:22
Date Deposited: 26 Sep 2024 12:47
Full Text Link:
Related URLs: https://www.fro ... 23.1092768/full (Publisher URL)
PURE Output Type: Article
Published Date: 2023-02-20
Published Online Date: 2023-02-20
Accepted Date: 2023-02-06
Authors: Li, Fan
Rubinato, Matteo (ORCID Profile 0000-0002-8446-4448)
Zhou, Tao
Li, Jiaye
Chen, Chen

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