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Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China

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  • Kazancoglu, Yigit
  • Ekinci, Esra
  • Mangla, Sachin Kumar
  • Sezer, Muruvvet Deniz
  • Ozbiltekin-Pala, Melisa

Abstract

COVID-19 has negative impacts on supply chain operations between countries. The novelty of the study is to evaluate the sectoral effects of COVID-19 on global supply chains in the example of Turkey and China, considering detailed parameters, thanks to the developed System Dynamics (SD) model. During COVID-19 spread, most of the countries decided long period of lockdowns which impacted the production and supply chains. This had also caused decrease in capacity utilizations and industrial productions in many countries which resulted with imbalance of maritime trade between countries that increased the freight costs. In this study, cause and effect relations of trade parameters, supply chain parameters, demographic data and logistics data on disruptions of global supply chains have been depicted for specifically Turkey and China since China is the biggest importer of Turkey. Due to this disruption, mainly exports from Turkey to China has been impacted in food, chemical and mining sectors. This study is helpful to plan in which sectors; the actions should be taken by the government bodies or managers. Based on findings of this study, new policies such as onshore activities should consider to overcome the logistics and supply chain disruptions in global supply chains. This study has been presented beneficial implications for the government, policymakers and academia.

Suggested Citation

  • Kazancoglu, Yigit & Ekinci, Esra & Mangla, Sachin Kumar & Sezer, Muruvvet Deniz & Ozbiltekin-Pala, Melisa, 2023. "Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
  • Handle: RePEc:eee:soceps:v:85:y:2023:i:c:s0038012122003019
    DOI: 10.1016/j.seps.2022.101494
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    1. Jiho Yoon & Srinivas Talluri & Hakan Yildiz & William Ho, 2018. "Models for supplier selection and risk mitigation: a holistic approach," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3636-3661, May.
    2. Burris, Courtney & Nikolaev, Alexander & Zhong, Shiran & Bian, Ling, 2021. "Network effects in influenza spread: The impact of mobility and socio-economic factors," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    3. Banu Demir & Beata Javorcik, 2020. "Trade finance matters: evidence from the COVID-19 crisis," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 397-408.
    4. Niels Joachim Gormsen & Ralph S J Koijen & Nikolai Roussanov, 0. "Coronavirus: Impact on Stock Prices and Growth Expectations," The Review of Asset Pricing Studies, Oxford University Press, vol. 10(4), pages 574-597.
    5. van Ackere, Ann & Schulz, Peter J., 2020. "Explaining vaccination decisions: A system dynamics model of the interaction between epidemiological and behavioural factors," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    6. Deepankar Sinha & Virupaxi Bagodi & Debasri Dey, 2020. "The Supply Chain Disruption Framework Post COVID-19: A System Dynamics Model," Foreign Trade Review, , vol. 55(4), pages 511-534, November.
    7. Yubin Wang & Jingjing Wang & Xiaoyang Wang, 2020. "COVID-19, supply chain disruption and China’s hog market: a dynamic analysis," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(3), pages 427-443, June.
    8. Verikios, George, 2020. "The dynamic effects of infectious disease outbreaks: the case of pandemic influenza and human coronavirus," MPRA Paper 104434, University Library of Munich, Germany.
    9. Ehlert, Andree, 2021. "The socio-economic determinants of COVID-19: A spatial analysis of German county level data," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    10. Yubin Wang & Jingjing Wang & Xiaoyang Wang, 2020. "COVID-19, supply chain disruption and China’s hog market: a dynamic analysis," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(3), pages 427-443, June.
    11. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    12. Rauner, M. S. & Schaffhauser-Linzatti, M.-M., 2002. "Impact of the new Austrian inpatient payment strategy on hospital behavior: a system-dynamics model," Socio-Economic Planning Sciences, Elsevier, vol. 36(3), pages 161-182, September.
    13. Ivanov, Dmitry, 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, Elsevier, vol. 136(C).
    14. William Hynes & Benjamin Trump & Patrick Love & Igor Linkov, 2020. "Bouncing forward: a resilience approach to dealing with COVID-19 and future systemic shocks," Environment Systems and Decisions, Springer, vol. 40(2), pages 174-184, June.
    15. Klibi, Walid & Martel, Alain, 2012. "Modeling approaches for the design of resilient supply networks under disruptions," International Journal of Production Economics, Elsevier, vol. 135(2), pages 882-898.
    16. David Simchi-Levi & William Schmidt & Yehua Wei & Peter Yun Zhang & Keith Combs & Yao Ge & Oleg Gusikhin & Michael Sanders & Don Zhang, 2015. "Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain," Interfaces, INFORMS, vol. 45(5), pages 375-390, October.
    17. Dmitry Ivanov, 2018. "Structural Dynamics and Resilience in Supply Chain Risk Management," International Series in Operations Research and Management Science, Springer, number 978-3-319-69305-7, December.
    18. Marin, Giovanni & Modica, Marco & Paleari, Susanna & Zoboli, Roberto, 2021. "Assessing disaster risk by integrating natural and socio-economic dimensions: A decision-support tool," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
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