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The implications of COVID-19: Bullwhip and ripple effects in global supply chains

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  • Scarpin, Marcia Regina Santiago
  • Scarpin, Jorge Eduardo
  • Krespi Musial, Nayane Thais
  • Nakamura, Wilson Toshiro

Abstract

Using the financial proxies in the efficient market hypothesis (EMH), we explore how the bullwhip effect (BWE) and ripple effect (RE) have been affected by the COVID-19 pandemic upstream and downstream. We developed two models to help us understand the phenomenon. The first model we created was the global airline stock index (GASI). This index represents all the global airline companies in the sample in one single node. We compared the GASI with each sample's buyer and supplier. The first result we observed was that some companies are more affected than others. We also found that the RE increased after the COVID-19 pandemic, but not the BWE. We then created a second model to analyze the difference in effects between companies. This reveals that the number of relationships in the supply chain network is positively related to the BWE and the RE. According to the regression analysis, the data also show that companies with a higher degree of operating level (DOL) and debts, and a lower share price, are the most vulnerable to the BWE and RE. We close by summarizing our findings and discussing future research opportunities.

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  • Scarpin, Marcia Regina Santiago & Scarpin, Jorge Eduardo & Krespi Musial, Nayane Thais & Nakamura, Wilson Toshiro, 2022. "The implications of COVID-19: Bullwhip and ripple effects in global supply chains," International Journal of Production Economics, Elsevier, vol. 251(C).
  • Handle: RePEc:eee:proeco:v:251:y:2022:i:c:s0925527322001165
    DOI: 10.1016/j.ijpe.2022.108523
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    as
    1. Choi, Woon Gyu & Kim, Yungsan, 2005. "Trade Credit and the Effect of Macro-Financial Shocks: Evidence from U.S. Panel Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(4), pages 897-925, December.
    2. Nunes, Mauro Fracarolli, 2018. "Supply chain contamination: An exploratory approach on the collateral effects of negative corporate events," European Management Journal, Elsevier, vol. 36(4), pages 573-587.
    3. Ponte, Borja & Framinan, Jose M. & Cannella, Salvatore & Dominguez, Roberto, 2020. "Quantifying the Bullwhip Effect in closed-loop supply chains: The interplay of information transparencies, return rates, and lead times," International Journal of Production Economics, Elsevier, vol. 230(C).
    4. Pastore, Erica & Alfieri, Arianna & Zotteri, Giulio, 2019. "An empirical investigation on the antecedents of the bullwhip effect: Evidence from the spare parts industry," International Journal of Production Economics, Elsevier, vol. 209(C), pages 121-133.
    5. Li, Yuhong & Zobel, Christopher W., 2020. "Exploring supply chain network resilience in the presence of the ripple effect," International Journal of Production Economics, Elsevier, vol. 228(C).
    6. Ivanov, Dmitry & Dolgui, Alexandre, 2021. "OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications," International Journal of Production Economics, Elsevier, vol. 232(C).
    7. Friend, Irwin & Blume, Marshall E, 1970. "Measurement of Portfolio Performance Under Uncertainty," American Economic Review, American Economic Association, vol. 60(4), pages 561-575, September.
    8. Bhandari, Laxmi Chand, 1988. " Debt/Equity Ratio and Expected Common Stock Returns: Empirical Evidence," Journal of Finance, American Finance Association, vol. 43(2), pages 507-528, June.
    9. Ding, Li & Lam, Hugo K.S. & Cheng, T.C.E. & Zhou, Honggeng, 2021. "The contagion and competitive effects across national borders: Evidence from the 2016 Kumamoto earthquakes," International Journal of Production Economics, Elsevier, vol. 235(C).
    10. Koh, S.C.L. & Gunasekaran, A. & Tseng, C.S., 2012. "Cross-tier ripple and indirect effects of directives WEEE and RoHS on greening a supply chain," International Journal of Production Economics, Elsevier, vol. 140(1), pages 305-317.
    11. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    12. Wuttke, David A. & Blome, Constantin & Henke, Michael, 2013. "Focusing the financial flow of supply chains: An empirical investigation of financial supply chain management," International Journal of Production Economics, Elsevier, vol. 145(2), pages 773-789.
    13. Alexandre Dolgui & Dmitry Ivanov & Maxim Rozhkov, 2020. "Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1285-1301, March.
    14. Emilio Esposito & Lelio Raffa, 2007. "Global reorganisation in a high-technology industry: the aircraft industry," International Journal of Globalisation and Small Business, Inderscience Enterprises Ltd, vol. 2(2), pages 166-184.
    15. Sucky, Eric, 2009. "The bullwhip effect in supply chains--An overestimated problem?," International Journal of Production Economics, Elsevier, vol. 118(1), pages 311-322, March.
    16. Isaksson, Olov H.D. & Seifert, Ralf W., 2016. "Quantifying the bullwhip effect using two-echelon data: A cross-industry empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 311-320.
    17. Ojha, Divesh & Sahin, Funda & Shockley, Jeff & Sridharan, Sri V., 2019. "Is there a performance tradeoff in managing order fulfillment and the bullwhip effect in supply chains? The role of information sharing and information type," International Journal of Production Economics, Elsevier, vol. 208(C), pages 529-543.
    18. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    19. Qianwei Ying & Tahir Yousaf & Qurat ul Ain & Yasmeen Akhtar & Muhammad Shahid Rasheed, 2019. "Stock Investment and Excess Returns: A Critical Review in the Light of the Efficient Market Hypothesis," JRFM, MDPI, vol. 12(2), pages 1-22, June.
    20. Frederic Boissay & Reint Gropp, 2013. "Payment Defaults and Interfirm Liquidity Provision," Review of Finance, European Finance Association, vol. 17(6), pages 1853-1894.
    21. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    22. Anne M. Quarshie & Rudolf Leuschner, 2020. "Interorganizational Interaction in Disaster Response Networks: A Government Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(3), pages 3-25, July.
    23. Schmitt, Thomas G. & Kumar, Sanjay & Stecke, Kathryn E. & Glover, Fred W. & Ehlen, Mark A., 2017. "Mitigating disruptions in a multi-echelon supply chain using adaptive ordering," Omega, Elsevier, vol. 68(C), pages 185-198.
    24. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    25. Maria Besiou & Luk N. Van Wassenhove, 2020. "Humanitarian Operations: A World of Opportunity for Relevant and Impactful Research," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 135-145, January.
    26. Sarkar, Sudipto, 2018. "Optimal DOL (degree of operating leverage) with investment and production flexibility," International Journal of Production Economics, Elsevier, vol. 202(C), pages 172-181.
    27. Tingting Yan & Thomas Y. Choi & Yusoon Kim & Yang Yang, 2015. "A Theory of the Nexus Supplier: A Critical Supplier From A Network Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 51(1), pages 52-66, January.
    28. Negrea, Bogdan & Toma, Mihai, 2017. "Dynamic CAPM under ambiguity—An experimental approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 16(C), pages 22-32.
    29. Eugene F. Fama & Kenneth R. French, 2006. "The Value Premium and the CAPM," Journal of Finance, American Finance Association, vol. 61(5), pages 2163-2185, October.
    30. Zaremba, Adam & Kizys, Renatas & Aharon, David Y. & Demir, Ender, 2020. "Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe," Finance Research Letters, Elsevier, vol. 35(C).
    31. Özelkan, Ertunga C. & Lim, Churlzu & Adnan, Ziaul Haq, 2018. "Conditions of reverse bullwhip effect in pricing under joint decision of replenishment and pricing," International Journal of Production Economics, Elsevier, vol. 200(C), pages 207-223.
    32. Myers, Stewart C., 1977. "Determinants of corporate borrowing," Journal of Financial Economics, Elsevier, vol. 5(2), pages 147-175, November.
    33. Jieting Chen & Yuichiro Kawaguchi, 2018. "Multi-Factor Asset-Pricing Models under Markov Regime Switches: Evidence from the Chinese Stock Market," IJFS, MDPI, vol. 6(2), pages 1-19, May.
    34. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    35. WUTTKE, David A & BLOME, Constantin & HENKE, Michael, 2013. "Focusing the financial flow of supply chains: an empirical investigation of financial supply chain management," LIDAM Reprints CORE 2601, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    36. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
    37. Chen, Tsung-Kang & Liao, Hsien-Hsing & Kuo, Hui-Ju, 2013. "Internal liquidity risk, financial bullwhip effects, and corporate bond yield spreads: Supply chain perspectives," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2434-2456.
    38. Ponte, Borja & Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2022. "The implications of batching in the bullwhip effect and customer service of closed-loop supply chains," International Journal of Production Economics, Elsevier, vol. 244(C).
    39. Zhu, Tianyuan & Balakrishnan, Jaydeep & da Silveira, Giovani J.C., 2020. "Bullwhip effect in the oil and gas supply chain: A multiple-case study," International Journal of Production Economics, Elsevier, vol. 224(C).
    40. Yu-Ling Hsiao, Cody & Ai, Dan & Wei, Xinyang & Sheng, Ni, 2021. "The contagious effect of China’s energy policy on stock markets: The case of the solar photovoltaic industry," Renewable Energy, Elsevier, vol. 164(C), pages 74-86.
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