Journal article
Global economic impacts of COVID-19 lockdown measures stand out in high-frequency shipping data
- Abstract:
- The implementation of large-scale containment measures by governments to contain the spread of the COVID-19 virus has resulted in large impacts to the global economy. Here, we derive a new high-frequency indicator of economic activity using empirical vessel tracking data, and use it to estimate the global maritime trade losses during the first eight months of the pandemic. We go on to use this high-frequency dataset to infer the effect of individual non-pharmaceutical interventions on maritime exports, which we use as a proxy of economic activity. Our results show widespread port-level trade losses, with the largest absolute losses found for ports in China, the Middle-East and Western Europe, associated with the collapse of specific supply-chains (e.g. oil, vehicle manufacturing). In total, we estimate that global maritime trade reduced by -7.0% to -9.6% during the first eight months of 2020, which is equal to around 206–286 million tonnes in volume losses and up to 225–412 billion USD in value losses. We find large sectoral and geographical disparities in impacts. Manufacturing sectors are hit hardest, with losses up to 11.8%, whilst some small islands developing states and low-income economies suffered the largest relative trade losses. Moreover, we find a clear negative impact of COVID-19 related school and public transport closures on country-wide exports. Overall, we show how real-time indicators of economic activity can inform policy-makers about the impacts of individual policies on the economy, and can support economic recovery efforts by allocating funds to the hardest hit economies and sectors.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 1.4MB, Terms of use)
-
- Publisher copy:
- 10.1371/journal.pone.0248818
Authors
- Publisher:
- Public Library of Science
- Journal:
- PLOS ONE More from this journal
- Volume:
- 16
- Issue:
- 4
- Article number:
- e0248818
- Publication date:
- 2021-04-14
- Acceptance date:
- 2021-03-06
- DOI:
- EISSN:
-
1932-6203
- Pmid:
-
33852593
- Language:
-
English
- Keywords:
- Pubs id:
-
1172837
- Local pid:
-
pubs:1172837
- Deposit date:
-
2021-08-10
- ARK identifier:
Terms of use
- Copyright holder:
- Verschuur et al.
- Copyright date:
- 2021
- Rights statement:
- © 2021 Verschuur et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record