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Evaluating and Predicting the Long-Term Impact of the COVID-19 Pandemic on Manufacturing Sales within South Africa

Author

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  • Tendai Makoni

    (Department of Mathematical Statistics and Actuarial Science, University of the Free State, Bloemfontein 9300, South Africa)

  • Delson Chikobvu

    (Department of Mathematical Statistics and Actuarial Science, University of the Free State, Bloemfontein 9300, South Africa)

Abstract

Manufacturing sales forecasting is crucial for business survival in the competitive and volatile modern market. The COVID-19 pandemic has had a significant negative impact on the demand and revenue of firms globally due to disruptions in supply chains. However, the effect of the pandemic on manufacturing sales in South Africa (SA) has not been quantified. The progress of the country’s manufacturing sector’s recovery after the pandemic remains unknown or unquantified. This paper uses a Box–Jenkins approach to time series analysis to produce long-term forecasts/projections of potential manufacturing sales, thereby quantifying the effects of the pandemic shock when the projections are compared with actual manufacturing sales. The Box–Jenkins approach is chosen because of its credibility and ability to produce accurate forecasts. Long-term projections enable organisations to plan ahead and make informed decisions, develop successful recovery plans, and navigate through similar economic shocks in the future, thereby ensuring long-term business survival and sustainability of the manufacturing sector. The SARIMA (0,1,1)(0,1,1) 12 model best fits the SA manufacturing sales data according to the Akaike information criterion (AIC) and Bayesian information criterion (BIC), as well as the root mean square error (RMSE) and the mean absolute error (MAE). The results indicate that SA’s manufacturing sector was negatively impacted by the COVID-19 pandemic from about April 2020, but by November 2020 manufacturing sales had recovered to levels similar to projected levels had the COVID-19 pandemic not occurred. Long-term forecasts indicate that SA manufacturing sales will continue to increase. The manufacturing sector continues to grow, leading to increased employment opportunities and a boost to the gross domestic product (GDP).

Suggested Citation

  • Tendai Makoni & Delson Chikobvu, 2023. "Evaluating and Predicting the Long-Term Impact of the COVID-19 Pandemic on Manufacturing Sales within South Africa," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9342-:d:1167642
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    References listed on IDEAS

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    1. Fairlie, Robert, 2020. "The Impact of COVID-19 on Small Business Owners: The First Three Months after Social-Distancing Restrictions," MPRA Paper 113127, University Library of Munich, Germany.
    2. Sanders, Nada R. & Manrodt, Karl B., 2003. "The efficacy of using judgmental versus quantitative forecasting methods in practice," Omega, Elsevier, vol. 31(6), pages 511-522, December.
    3. Elena Carletti & Tommaso Oliviero & Marco Pagano & Loriana Pelizzon & Marti G Subrahmanyam, 2020. "The COVID-19 Shock and Equity Shortfall: Firm-Level Evidence from Italy," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 9(3), pages 534-568.
    4. Dmitry Ivanov, 2021. "Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3535-3552, June.
    5. Lorenzo Menculini & Andrea Marini & Massimiliano Proietti & Alberto Garinei & Alessio Bozza & Cecilia Moretti & Marcello Marconi, 2021. "Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices," Forecasting, MDPI, vol. 3(3), pages 1-19, September.
    6. Marco Ardolino & Andrea Bacchetti & Dmitry Ivanov, 2022. "Analysis of the COVID-19 pandemic’s impacts on manufacturing: a systematic literature review and future research agenda," Operations Management Research, Springer, vol. 15(1), pages 551-566, June.
    7. Chu, Ching-Wu & Zhang, Guoqiang Peter, 2003. "A comparative study of linear and nonlinear models for aggregate retail sales forecasting," International Journal of Production Economics, Elsevier, vol. 86(3), pages 217-231, December.
    8. Robert Fairlie & Frank M. Fossen, 2022. "The early impacts of the COVID-19 pandemic on business sales," Small Business Economics, Springer, vol. 58(4), pages 1853-1864, April.
    9. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    10. Yingqi Zhu & Ying Wang & Tianxue Liu & Qi Sui, 2018. "Assessing macroeconomic recovery after a natural hazard based on ARIMA—a case study of the 2008 Wenchuan earthquake in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(3), pages 1025-1038, April.
    11. Tang, Chia-Hsien & Chin, Chih-Yu & Lee, Yen-Hsien, 2021. "Coronavirus disease outbreak and supply chain disruption: Evidence from Taiwanese firms in China," Research in International Business and Finance, Elsevier, vol. 56(C).
    12. NJ Matsoma & IM Ambe, 2016. "Factors Affecting Demand Planning in the South African Clothing Industry," Journal of Economics and Behavioral Studies, AMH International, vol. 8(5), pages 194-210.
    13. Jill Juergensen & José Guimón & Rajneesh Narula, 2020. "European SMEs amidst the COVID-19 crisis: assessing impact and policy responses," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(3), pages 499-510, September.
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