JOURNAL ARTICLE

Government Interventions to Ameliorate COVID-19 Recession: The Case of Small, Micro, and Medium Firm's Survival in South Africa.

  • Published In: Journal of International Commerce, Economics & Policy, 2023, v. 14, n. 1. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Zhou, S.; Chimucheka, T.; Ayandibu, A. O.; Masuku, M. 3 of 3

Abstract

This paper analyzes the impact of government economic interventions to ameliorate the COVID-19 pandemic on the survival of small, micro, and medium enterprises (SMMEs) in South Africa. We use the Cox Proportional Hazards approach and cross-sectional data from King Cetshwayo District Municipality covering 641 SMMEs. The study finds that tax relief was the most important intervention used to sustain SMMEs during the pandemic. Other interventions, such as cash grants and cheap credit, were also used during the period but had a small impact. Our findings support the interventions used by the South African government in mitigating the negative consequences of the pandemic-induced lockdown on small businesses. However, we also note that the magnitude at which the interventions were made could have been lower than what is optimal. The paper recommends the need to increase and have sustainable targeted expenditure during the difficult times to enhance the resilience of SMMEs to accelerate economic development and growth. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of International Commerce, Economics & Policy. 2023/02, Vol. 14, Issue 1, p1
  • Document Type:Article
  • Subject Area:Politics and Government
  • Publication Date:2023
  • ISSN:1793-9933
  • DOI:10.1142/S1793993323500059
  • Accession Number:161880780
  • Copyright Statement:Copyright of Journal of International Commerce, Economics & Policy is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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