Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Analysis of Immediate Effects of the COVID-19 Pandemic on Small and Medium-Sized Enterprises (SMEs) in Rwanda: Firm-Level Data Analysis

Version 1 : Received: 6 April 2024 / Approved: 8 April 2024 / Online: 8 April 2024 (08:46:54 CEST)

How to cite: Munyemana, E.; Mung’atu, J.K.; Ruranga, C. Analysis of Immediate Effects of the COVID-19 Pandemic on Small and Medium-Sized Enterprises (SMEs) in Rwanda: Firm-Level Data Analysis. Preprints 2024, 2024040517. https://doi.org/10.20944/preprints202404.0517.v1 Munyemana, E.; Mung’atu, J.K.; Ruranga, C. Analysis of Immediate Effects of the COVID-19 Pandemic on Small and Medium-Sized Enterprises (SMEs) in Rwanda: Firm-Level Data Analysis. Preprints 2024, 2024040517. https://doi.org/10.20944/preprints202404.0517.v1

Abstract

Analysis of immediate effects of the COVID-19 pandemic on SMEs in Rwanda aims to assess and quantify the economic and financial impacts of the pandemic during the lockdown and presents options adopted by SMEs to reopen their business opera-tions. It also seeks to recommend options for sustainable and resilient economic recovery from the scars of COVID-19. This analysis used data collected from nearly 220 SMEs located across the country and applied an Exploratory Data Analysis (EDA) and multivariate linear regression models to measure the pandemic effects. The study revealed that firms downsized employment by 36.4 per cent, but data depict significant deviation within SMEs by their size. The COVID-19 pandemic has had a greater magni-tude of negative effects on sales levels among small businesses. Tax amounts were reduced amidst the crisis however, data do not show any significant variations among SMEs. Additionally, SMEs owners applied various coping mechanisms during re-opening. The study used firm-level data, providing detailed and reliable effects of the shocks on business performance. This analysis recommends establishing the medium-term financing and technical support for SMEs to ensure steady and sustainable recovery from pandemic effects as well as strengthening their resilience to any other socio-economics shocks.

Keywords

wood; firm; COVID-19 and SMEs; regression models

Subject

Business, Economics and Management, Econometrics and Statistics

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.