Dynamic causality between global supply chain pressures and China's resource industries: A time-varying Granger analysis

Xiaohang Ren, Chenjia Fu, Chenglu Jin and Yuyi Li

International Review of Financial Analysis, 2024, vol. 95, issue PA

Abstract: In the era of advancing globalization and intricate global supply chains, this research utilizes the time-varying Granger causality method to delve into the comovements between supply chain pressures and China's pivotal resource industries, namely steel, coal, petroleum, and non-ferrous metals. Our results indicate that dynamic bidirectional causality is evident between the Global Supply Chain Pressure Index (GSCPI) and all examined industries. In particular, the causality predominantly flows from the GSCPI to China's resource industries, while the influence of China's resource industries on the GSCPI is more temporary. This study not only enriches the understanding of global supply chain dynamics but also provides valuable insights for policymakers to manage essential supply chains and address sustainability challenges.

Keywords: Global supply chain pressures; China resources industry; Time-varying Granger; Bidirectional causal relationship (search for similar items in EconPapers)
JEL-codes: C32 F60 Q40 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:95:y:2024:i:pa:s1057521924003090

DOI: 10.1016/j.irfa.2024.103377

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