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- W4213307955 endingPage "101276" @default.
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- W4213307955 abstract "COVID-19 has disrupted all spheres of life, including country risk regarding the exposure of economies to multi-dimensional risk drivers. However, it remains unexplored how COVID-19 has impacted different drivers of country risk in a probabilistic network setting. This paper uses two datasets on country-level COVID-19 and country risks to explore dependencies among associated drivers using a Bayesian Belief Network model. The drivers of COVID-19 risk, considered in this paper, are hazard and exposure, vulnerability and lack of coping capacity, whereas country risk drivers are economic, financing, political, business environment and commercial risks. The results show that business environment risk is significantly influenced by COVID-19 risk, whereas commercial risk (demand disruptions) is the least important factor driving COVID-19 and country risks. Further, country risk is mainly influenced by financing, political and economic risks. The contribution of this study is to explore the impact of various drivers associated with the country-level COVID-19 and country risks in a unified probabilistic network setting, which can help policy-makers prioritize drivers for managing the two risks." @default.
- W4213307955 created "2022-02-24" @default.
- W4213307955 creator A5054604298 @default.
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- W4213307955 date "2023-02-01" @default.
- W4213307955 modified "2023-10-01" @default.
- W4213307955 title "Nexus between drivers of COVID-19 and country risks" @default.
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- W4213307955 doi "https://doi.org/10.1016/j.seps.2022.101276" @default.
- W4213307955 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35228762" @default.
- W4213307955 hasPublicationYear "2023" @default.
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