IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i12p9342-d1167642.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/12/9342/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/12/9342/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Robert W. Fairlie, 2020. "The Impact of Covid-19 on Small Business Owners: The First Three Months after Social-Distancing Restrictions," CESifo Working Paper Series 8581, CESifo.
    3. 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).
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Rinaldi, Marta & Bottani, Eleonora, 2023. "How did COVID-19 affect logistics and supply chain processes? Immediate, short and medium-term evidence from some industrial fields of Italy," International Journal of Production Economics, Elsevier, vol. 262(C).
    3. Ioannis Giotopoulos & Alexander S. Kritikos & Aggelos Tsakanikas, 2023. "A lasting crisis affects R&D decisions of smaller firms: the Greek experience," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1161-1175, August.
    4. Charlie Tchinda & Marcus Dejardin, 2021. "Are Business Policy Measures in Response to the COVID-19 Pandemic to Be Equally Valued? An Exploration According to SMEs Owners’ Business Expectations," Sustainability, MDPI, vol. 13(21), pages 1-42, October.
    5. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    6. Julian Oliver Dörr & Georg Licht & Simona Murmann, 2022. "Small firms and the COVID-19 insolvency gap," Small Business Economics, Springer, vol. 58(2), pages 887-917, February.
    7. Li, Guo & Xue, Jing & Li, Na & Ivanov, Dmitry, 2022. "Blockchain-supported business model design, supply chain resilience, and firm performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    8. Cameron J. Borgholthaus & Joshua V. White & Erik Markin & Vishal K. Gupta, 2023. "Venture creation in the aftermath of COVID-19: The impact of US governor party affiliation and discretion," Small Business Economics, Springer, vol. 61(2), pages 655-674, August.
    9. Burgos, Diana & Ivanov, Dmitry, 2021. "Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    10. Robert Fairlie & Frank M. Fossen & Reid Johnsen & Gentian Droboniku, 2023. "Were small businesses more likely to permanently close in the pandemic?," Small Business Economics, Springer, vol. 60(4), pages 1613-1629, April.
    11. Mohammadi, Mehrdad & Dehghan, Milad & Pirayesh, Amir & Dolgui, Alexandre, 2022. "Bi‐objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID‐19 pandemic," Omega, Elsevier, vol. 113(C).
    12. Daiji Kawaguchi & Sagiri Kitao & Manabu Nose, 2022. "The impact of COVID-19 on Japanese firms: mobility and resilience via remote work," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(6), pages 1419-1449, December.
    13. David Bruce Audretsch & Martina Aronica & Maksim Belitski & Davide Piacentino, 2024. "Natural selection or strategic adaptation? Entrepreneurial digital technologies and survival of the species," The Journal of Technology Transfer, Springer, vol. 49(5), pages 1631-1659, October.
    14. Silvia Muzi & Filip Jolevski & Kohei Ueda & Domenico Viganola, 2023. "Productivity and firm exit during the COVID-19 crisis: cross-country evidence," Small Business Economics, Springer, vol. 60(4), pages 1719-1760, April.
    15. Barrot, Jean-Noël & Bonelli, Maxime & Grassi, Basile & Sauvagnat, Julien, 2024. "Causal effects of closing businesses in a pandemic," Journal of Financial Economics, Elsevier, vol. 154(C).
    16. Liu, Qingfu & Shi, Chen & Tse, Yiuman & Zhang, Linlin, 2023. "The impact of public health emergencies on small and medium-sized enterprises: Evidence from China," Global Finance Journal, Elsevier, vol. 58(C).
    17. Block, Joern & Kritikos, Alexander S. & Priem, Maximilian & Stiel, Caroline, 2022. "Emergency-aid for self-employed in the Covid-19 pandemic: A flash in the pan?," Journal of Economic Psychology, Elsevier, vol. 93(C).
    18. S. M. Misbauddin & Mohammad Jahangir Alam & Chitra Lekha Karmaker & Md. Noor Un Nabi & Md. Mahedi Hasan, 2023. "Exploring the Antecedents of Supply Chain Viability in a Pandemic Context: An Empirical Study on the Commercial Flower Supply Chain of an Emerging Economy," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    19. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
    20. Magdalena Olczyk & Marta Ewa Kuc-Czarnecka, 2021. "Determinants of COVID-19 Impact on the Private Sector: A Multi-Country Analysis Based on Survey Data," Energies, MDPI, vol. 14(14), pages 1-17, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9342-:d:1167642. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.