JOURNAL ARTICLE

Drivers of Inflation in South Africa Before and After the COVID‐19 Pandemic.

  • Published In: South African Journal of Economics, 2025, v. 93, n. 2. P. 183 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Dery, Cosmas; Ilori, Ayobami E.; Nsafoah, Dennis 3 of 3

Abstract

This paper examines the drivers of consumer price inflation in South Africa to understand their changing pattern before and after the COVID‐19 pandemic. Using quarterly data from 1999Q1 to 2023Q4 and employing a Bayesian VAR model with a penalty function to identify various shocks that drive inflation, we find dominant and persistent role for domestic shocks in explaining inflation fluctuations in South Africa, both before and after COVID‐19 pandemic. In the pre‐pandemic era, domestic shocks accounted for 78% of the positive historical deviation of inflation from its mean, predominantly driven by total domestic demand shocks (44%) with domestic supply shock contributing about 34% to positive inflation variation. Whereas, in the post‐COVID era, domestic shocks still played a dominant role, contributing about 65% to inflation increase, but the relative contribution of total domestic demand increased to three times as large as domestic supply shock. More importantly, the relative contribution of global shocks increased from 22% in the pre‐COVID era to 35% in the post‐COVID era, primarily driven by the growing influence of global supply shocks. Our results suggest that South African inflation increases are largely demand driven and hence within the remit of the South African Reserve Bank to actively use its policy tools to stabilize price level. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:South African Journal of Economics. 2025/06, Vol. 93, Issue 2, p183
  • Document Type:Article
  • Subject Area:Politics and Government
  • Publication Date:2025
  • ISSN:0038-2280
  • DOI:10.1111/saje.12392
  • Accession Number:185680268
  • Copyright Statement:Copyright of South African Journal of Economics is the property of Wiley-Blackwell 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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