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Journals / Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2026 / Cilt: 44 Sayı: 2

Empirical Evidence on Supply Chain Delays in the Post-COVID-19 Era: The Case of APEC Economies

COVID-19 Sonrası Tedarik Zinciri Gecikmelerine Dair Ampirik Kanıtlar: APEC Ekonomileri Örneği

Fatih Okur(Bayburt Üniversitesi)0000-0002-4686-4563
Pages
484–503
Publication Date
2026-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Based on the fixed effects model, results show that export and import volumes, industrial production, and trade openness significantly increase delays, while GDP growth and foreign direct investment mitigate them.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examines the key determinants of supply chain delays in APEC countries over the 2015–2023 period.
📊
Key Findings & Data:Using panel data analysis, the effects of the COVID-19 pandemic, level of economic development, and regional trade agreements are assessed.
💡
Conclusion & Impact:Based on the fixed effects model, results show that export and import volumes, industrial production, and trade openness significantly increase delays, while GDP growth and foreign direct investment mitigate them.
🔬Design:Modeling & Simulation
📍Scope:2015–2023 Verileri
⚙️Variables:Tedarik Zinciri Gecikmeleri · COVID-19 · Panel Veri

Abstract

This study examines the key determinants of supply chain delays in APEC countries over the 2015–2023 period. Using panel data analysis, the effects of the COVID-19 pandemic, level of economic development, and regional trade agreements are assessed. Based on the fixed effects model, results show that export and import volumes, industrial production, and trade openness significantly increase delays, while GDP growth and foreign direct investment mitigate them. Moreover, inflation and the COVID-19 period are found to have a strong adverse impact on supply chain performance. Subgroup analyses reveal that these relationships vary across country types and time periods. The findings offer practical insights for policymakers aiming to enhance supply chain resilience. Accordingly, strengthening logistics infrastructure, maintaining price stability, and adopting flexible supply strategies are recommended.

Özet

Bu çalışma, 2015–2023 döneminde APEC ülkelerinde tedarik zinciri gecikmelerinin temel belirleyicilerini analiz etmektedir. Panel veri analizi yoluyla COVID-19 pandemisi, ekonomik gelişmişlik düzeyi ve bölgesel ticaret anlaşmalarının etkileri incelenmiştir. Ayrıca, modelde sanayi üretimi, dış ticaret hacmi, ticaret açıklığı, enflasyon oranı ve doğrudan yabancı yatırımlar gibi kontrol değişkenlerinin de tedarik zinciri gecikmeleri üzerindeki etkileri analiz edilmiştir. Sabit etkiler modeline dayalı analiz sonuçları, ihracat ve ithalat hacmi, sanayi üretimi ve ticaret açıklığının gecikmeleri artırdığını; ekonomik büyüme oranı ile doğrudan yabancı yatırımların ise gecikmeleri azalttığını göstermektedir. Ayrıca, enflasyon oranı ve pandemi dönemi gecikmeler üzerinde anlamlı ve olumsuz etkiler yaratmıştır. Alt grup analizleri, bu ilişkilerin dönemsel ve ülke türüne göre farklılaştığını ortaya koymaktadır. Elde edilen bulgular, tedarik zinciri performansını artırmak isteyen politika yapıcılar için önemli yol göstericidir. Bu bağlamda lojistik altyapının güçlendirilmesi, fiyat istikrarının korunması ve esnek tedarik stratejilerinin geliştirilmesi önerilmektedir.

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Cite This Article

Okur, F. (2026). Empirical Evidence on Supply Chain Delays in the Post-COVID-19 Era: The Case of APEC Economies. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 44 Sayı: 2, 484–503. https://doi.org/10.17065/huniibf.1698497

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References (36)

  1. Aday, S., & Aday, M. S. (2020). Impact of COVID-19 on the food supply chain. Food Quality and Safety, 4(4), 167–180. https://doi.org/10.1093/fqsafe/fyaa024
  2. Alfaro, L. (2017). Gains from foreign direct investment: Macro and micro approaches. The World Bank Economic Review, 30(Suppl_1), S2–S15. https://doi.org/10.1093/wber/lhw007
  3. Aljuneidi, T., Bhat, S. A., & Boulaksil, Y. (2023). A comprehensive systematic review of the literature on the impact of the COVID-19 pandemic on supply chains. Supply Chain Analytics, 3, 100025. https://doi.org/10.1016/j.sca.2023.100025
  4. Anderson, J. E., & Van Wincoop, E. (2004). Trade costs. Journal of Economic Literature, 42(3), 691–751. https://doi.org/10.1257/0022051042177649
  5. Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The review of economic studies, 58(2), 277-297.
  6. Arvis, J. F., Ojala, L., Wiederer, C., Shepherd, B., Raj, A., Dairabayeva, K., & Kiiski, T. (2018). Connecting to compete 2018: Trade logistics in the global economy. World Bank. https://doi.org/10.1596/29971
  7. Baldwin, R., & Tomiura, E. (2020). Thinking ahead about the trade impact of COVID-19.
  8. Baltagi, B. H. (2008). Forecasting with panel data. Journal of Forecasting, 27(2), 153–173. https://doi.org/10.1002/for.1047
  9. Behar, A., & Manners, P. (2008). Logistics and exports (Economics Series Working Paper No. 421). Oxford University, Department of Economics.
  10. Behar, A., & Venables, A. J. (2011). Transport costs and international trade. In A. de Palma, R. Lindsey, E. Quinet, & R. Vickerman (Eds.), A handbook of transport economics (pp. 97–115). Edward Elgar Publishing.
  11. Cattaneo, O., Gereffi, G., & Staritz, C. (Eds.). (2010). Global value chains in a postcrisis world: A development perspective. World Bank Publications.
  12. Christopher, M., & Holweg, M. (2011). “Supply Chain 2.0”: Managing supply chains in the era of turbulence. International Journal of Physical Distribution & Logistics Management, 41(1), 63–82. https://doi.org/10.1108/09600031111101439
  13. Christopher, M., Lowson, R., & Peck, H. (2004). Creating agile supply chains in the fashion industry. International Journal of Retail & Distribution Management, 32(8), 367–376. https://doi.org/10.1108/09590550410546188
  14. Djankov, S., Freund, C., & Pham, C. S. (2010). Trading on time. The Review of Economics and Statistics, 92(1), 166–173. https://doi.org/10.1162/rest.2009.11498
  15. Erlat, H. (2015). Panel Data: A Selectıve Survey. Ankara: Department of Economics Middle East Technical University.
  16. Greene, W. H. (2018). Econometric analysis/Limdep users manual. Retrieved on July, 15, 2022.
  17. Guan, D., Wang, D., Hallegatte, S., Davis, S. J., Huo, J., Li, S., … & Gong, P. (2020). Global supply-chain effects of COVID-19 control measures. Nature Human Behaviour, 4(6), 577–587. https://doi.org/10.1038/s41562-020-0896-8 Hausman, W. H., Lee, H. L., & Subramanian, U. (2013). The global logistics indicators, supply chain metrics, and bilateral trade patterns. Journal of International Business Studies, 44(9), 862–881. https://doi.org/10.1057/jibs.2013.20
  18. Hoekman, B., & Nicita, A. (2011). Trade policy, trade costs, and developing country trade. World Development, 39(12), 2069–2079. https://doi.org/10.1016/j.worlddev.2011.05.013
  19. Hummels, D., & Schaur, G. (2013). Time as a trade barrier. American Economic Review, 103(7), 2935–2959. https://doi.org/10.1257/aer.103.7.2935
  20. International Monetary Fund. (2024). World Economic Outlook Database (WEO). Retrieved on February 21, 2025 from https://www.imf.org/en/Publications/WEO/weo-database
  21. Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136. https://doi.org/10.1016/j.tre.2020.101922
  22. Javorcik, B. S. (2004). Does foreign direct investment increase the productivity of domestic firms? In search of spillovers through backward linkages. American Economic Review, 94(3), 605–627. https://doi.org/10.1257/0002828041464605
  23. Johnson, R. C., & Noguera, G. (2017). A portrait of trade in value-added over four decades. Review of Economics and Statistics, 99(5), 896–911. https://doi.org/10.1162/REST_a_00665
  24. Monferdini, L., & Bottani, E. (2024). Examining the response to COVID-19 in logistics and supply chain processes: Insights from a state-of-the-art literature review and case study analysis. Applied Sciences, 14(12), 5317. https://doi.org/10.3390/app14125317
  25. Moïsé, E., & Sorescu, S. (2013). Trade facilitation indicators: The potential impact of trade facilitation on developing countries' trade (OECD Trade Policy Papers No. 144). OECD Publishing. https://doi.org/10.1787/5k4bw6kg6ws2-en
  26. The Organisation for Economic Co-operation and Development (OECD). (2024). Industrial Production Index dataset. Retrieved on February 21, 2025 from https://stats.oecd.org
  27. Orefice, G., & Rocha, N. (2014). Deep integration and production networks: An empirical analysis. The World Economy, 37(1), 106–136. https://doi.org/10.1111/twec.12074
  28. Pujawan, I. N., & Bah, A. U. (2022). Supply chains under COVID-19 disruptions: Literature review and research agenda. Supply Chain Forum: An International Journal, 23(1), 81–95. https://doi.org/10.1080/16258312.2021.1932568
  29. Santos, D. M. D., Lopes, F. L. L., Melo, A. C. S., Nunes, D. R. D. L., Rampasso, I. S., & Martins, V. W. B. (2024). How to promote resilience in the supply chain in the context of COVID-19? An exploratory study using the Delphi method. Modern Supply Chain Research and Applications, 6(3), 303–329. https://doi.org/10.1108/MSCRA-05-2023-0036
  30. UNCTAD. (2024). UNCTADstat Database. FDI Inflows / GDP (%) dataset. Retrieved on February 21, 2025 from https://unctadstat.unctad.org
  31. World Bank. (2024). Logistics Performance Index (LPI). Retrieved on February 17, 2025 from https://lpi.worldbank.org
  32. World Bank. (2024). World Development Indicators (WDI). Import Volume Index, Export Volume Index, GDP Growth Rate, Trade Openness datasets. Retrieved on February 21, 2025 from https://databank.worldbank.org/source/world-development-indicators
  33. World Economic Forum. (2024). Global Competitiveness Report Indicators. Supply Chain Delay Index. Retrieved on February 21, 2025 from https://www.weforum.org/reports/the-global-competitiveness-report
  34. World Trade Organization. (2022). World trade report 2022: Climate change and international trade. WTO Publications.
  35. Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. MIT press.
  36. Xiong, W., Wu, D. D., & Yeung, J. H. (2025). Semiconductor supply chain resilience and disruption: Insights, mitigation, and future directions. International Journal of Production Research, 63(9), 3442–3465. https://doi.org/10.1080/00207543.2024.2387074