Yang Ye, Zhidong Cao, Daniel Dajun Zeng, Qingpeng Zhang
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Supply chain loss from easing COVID-19 restrictions: an evolutionary economic-epidemiological modelling study
Since the start of the COVID-19 pandemic, many firms have been shifting their supply chains away from countries with stringent control measures to mitigate supply-chain disruption. Nowadays, the global economy has reopened from the COVID-19 pandemic at various paces in different countries. Understanding how the global supply network evolves during and after the pandemic is necessary for determining the timing and speed of reopening. By harnessing the real-world and real-time global human movement and the latest macroeconomic data, we propose an evolutionary economic-epidemiological model to explore the evolutionary dynamics of the global supply network under various global reopening scenarios. We find that, for highly restrictive countries, the delay in reopening has limited public health benefits in the long run but leads to significant supply-chain loss. A longer duration of stringent control measures substantially hurts the profitability of firms in highly restrictive countries, leading to slower supply-chain recovery in 5 years. This research presents the first data-driven evidence of supply chain loss due to the timing and speed of reopening and sheds light on the post-pandemic supply-chain reformation and recovery. Insights learned from COVID-19 will also be a valuable policymaking reference for combating future infectious disease epidemics and geopolitical changes.
期刊介绍:
Proceedings A has an illustrious history of publishing pioneering and influential research articles across the entire range of the physical and mathematical sciences. These have included Maxwell"s electromagnetic theory, the Braggs" first account of X-ray crystallography, Dirac"s relativistic theory of the electron, and Watson and Crick"s detailed description of the structure of DNA.