Influence Of Global Supply Chain Disruptions To Apparel Industry In North Macedonia: Secondary Data Evaluation From COVID-19 And Transport Shocks Time Base
DOI:
https://doi.org/10.46763/Keywords:
Apparel industry in North Macedonia, COVID-19, Supply chain, Textile inputs, Transport shocksAbstract
This paper examines the impact of global supply chain disruptions on the apparel
production of textile sector in North Macedonia, with particular emphasis on the COVID-19
period and the subsequent transport and logistics shocks. The study is based on a
quantitative approach and uses secondary monthly data for the period 2019–2024. The
apparel production index is used as the dependent variable, while oil prices, container
transport costs, textile input inflows, and dummy variables for crisis and shock periods
are included as independent variables. The analysis applies descriptive statistics,
comparative analysis, one-way ANOVA, Pearson correlation analysis, and multiple linear
regression. The findings indicate that the hypotheses for statistically significant
differences in production performance between pre-crisis, crisis and post-crisis periods
is being confirmed. The regression results show that textile input inflows have a positive
and statistically significant effect on production, whereas the transport shock has a strong
negative and statistically significant effect. Hypothesis based on individual effect of oil
price change and price change of container transport for supply of input materials, gains
partial support in descriptive statistics, graphical and correlational analysis, but they are
not being confirmed completely at multiple regression model. The paper concludes that
the apparel industry in North Macedonia is highly sensitive to disruptions in supply chain
and transport, therefore for best performance of the apparel industry great accent needs
to be stated on stability of the supply chain and ability to deal with transport shocks. For
future endurance of this sector, we have to highlight the need for greater resilience,
supplier diversification, better safety stock management and improved logistics risk
management.
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References
Birkie, S. E. (2016). Operational resilience and lean: in search of synergies and trade-offs. Journal of
Manufacturing Technology Management, 27(2), 185–207. https://doi.org/10.1108/JMTM-07-2015-0054
Cagri Gurbuz, M., Yurt, O., Ozdemir, S., Sena, V., & Yu, W. (2023). Global supply chains risks and COVID-19: Supply chain structure as a mitigating strategy for small and medium-sized enterprises. Journal of Business Research, 155, 113407. https://doi.org/10.1016/J.JBUSRES.2022.113407
Dawn Downes. (2021, July 2). What You Need to Know About Fashion and Apparel Supply Chain
Management. Https://Www.Purolatorinternational.Com/What-to-Know-about-Fashion-Apparel-Supply Chain-Management/.
Fang, S. (2025). The Resilience of the Apparel Supply Chain During Covid-19: A Review.
https://doi.org/10.54254/2754-1169/156/2025.20500
Ma, C., Zhang, L., You, L., & Tian, W. (2025). A Review of Supply Chain Resilience: A Network Modeling Perspective. Applied Sciences, 15(1). https://doi.org/10.3390/app15010265
Meier, M., & Pinto, E. (2024a). COVID-19 Supply Chain Disruptions. European Economic Review, 162, 104674. https://doi.org/10.1016/J.EUROECOREV.2024.104674
Meier, M., & Pinto, E. (2024b). COVID-19 Supply Chain Disruptions. European Economic Review, 162, 104674. https://doi.org/10.1016/J.EUROECOREV.2024.104674
Mostafiz, M. I., Musteen, M., Saiyed, A., & Ahsan, M. (2022). COVID-19 and the global value chain: Immediate dynamics and long-term restructuring in the garment industry. Journal of Business Research, 139, 15881603. https://doi.org/10.1016/J.JBUSRES.2021.10.078
Nikookar, E., Gligor, D., & Russo, I. (2024). Supply chain resilience: When the recipe is more important than the ingredients for managing supply chain disruptions. International Journal of Production Economics, 272, 109236. https://doi.org/10.1016/J.IJPE.2024.109236
Pires Ribeiro, J., & Barbosa-Povoa, A. (2018). Supply Chain Resilience: Definitions and quantitative modelling approaches – A literature review. Computers & Industrial Engineering, 115, 109–122.
https://doi.org/10.1016/J.CIE.2017.11.006
Rahman, T., Paul, S. K., Shukla, N., Agarwal, R., & Taghikhah, F. (2022). Supply chain resilience initiatives and strategies: A systematic review. Computers & Industrial Engineering, 170, 108317.
https://doi.org/10.1016/J.CIE.2022.108317
REVIEW OF MARITIME TRANSPORT : navigating maritime chokepoints. (2024). UNITED NATIONS
PUBLICATIO. https://unctad.org/system/files/official-document/rmt2024_en.pdf
Sarasi, V., Primiana, I., Harsanto, B., & Satyaki, Y. (2023). Sustainable supply chain of Indonesia’s textile & apparel industry: opportunities and challenges. Research Journal of Textile and Apparel, 27(1), 106–133.
Seuring, S., & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16(15), 1699–1710.
https://doi.org/10.1016/J.JCLEPRO.2008.04.020
Sharma, N., Saraswat, C., Sharma, J., Mittal, M. L., Kepat, A., & Arvind, A. (2024). Multi - Objective
Optimization for Economic and Environmental Sustainability in Apparel E - commerce Reverse Logistics. INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES,
9(1), 111–128.
Singh, O., Singh, N., Singh, A., & R, V. (2024). Supply Chain Management in Apparel Industry.
IJFMR240214755, 6(2). www.ijfmr.com
Song, H., Chang, R., Cheng, H., Liu, P., & Yan, D. (2024). The impact of manufacturing digital supply chain on supply chain disruption risks under uncertain environment—Based on dynamic capability perspective. Advanced Engineering Informatics, 60, 102385. https://doi.org/10.1016/J.AEI.2024.102385
Teodoro, A., & Rodriguez, L. (2020, September). Textile and garment supply chains in times of COVID-19: challenges for developing countries. Https://Unctad.Org/News/Textile-and-Garment-Supply-Chains Times-Covid-19-Challenges-Developing-Countries.
World Bank Group. (n.d.). Global Supply Chain Disruptions: Competition Policy Implications. Retrieved May 2, 2026, from https://documents1.worldbank.org/curated/en/099548205272263182/pdf/IDU0cd8b1e1a0e97604b5b09fdf08385d6d7cdb2.pdf
Zhang, A. N., Wagner, S. M., Goh, M., & Asian, S. (2024). Quantifying supply chain disruption: a recovery time equivalent value at risk approach. International Journal of Logistics Research and Applications, 27(5), 667–687. https://doi.org/10.1080/13675567.2021.1990872
