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Article Dans Une Revue Resources, Conservation and Recycling Année : 2021

Disruption in Circularity? Impact analysis of COVID-19 on ship recycling using Weibull tonnage estimation and scenario analysis method

Résumé

The sustainability of the ship recycling industry strongly linked with the global shipping market and interna-tional commodity flows. More than 80% of the End of Life (EoL) ships are dismantled in South Asian countries, namely Bangladesh, India, and Pakistan. Due to measures taken to minimize the propagation of the Coronavirus disease (COVID-19), an international supply chain is broken to a historic low, except for certain medical-related urgencies. Due to the disruption of global supply chains, the industry may submerge into uncertainty due to, perhaps, lack of adequate labor force to dismantle increased EoL ships and due to disturbances of vessel transportation to the recycling nations amid strong precautionary measures. Our estimate suggests that about 300 million Gross Tonnage (GT) available for demolition in the next five years and the inability to get them recycled would cost about 20 billion dollars. More importantly, South Asian recycling nations would suffer from economic losses and employment opportunities. In this study, we also apply a scenario analysis technique to understand the impact range of COVID-19 in the short term and in the long term. The disruption is viewed through a circular economy framework, identifying a critical lack of ‘global scale’ acknowledgment in the cir-cular economy framework. This article suggests that a formalized global scale, paralleled with favorable policies, may reduce supply chain disruption and improve sustainable development in the receiving nations.
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Dates et versions

hal-02946987 , version 1 (18-09-2020)
hal-02946987 , version 2 (24-09-2020)

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Paternité - Pas d'utilisation commerciale - Partage selon les Conditions Initiales

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S. M. Mizanur Rahman, Junbeum Kim, Bertrand Laratte. Disruption in Circularity? Impact analysis of COVID-19 on ship recycling using Weibull tonnage estimation and scenario analysis method. Resources, Conservation and Recycling, 2021, 164, pp.105139. ⟨10.1016/j.resconrec.2020.105139⟩. ⟨hal-02946987v2⟩
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