Evidence map›Paper›PMID 36068869›Full record

ArticleOcean & coastal management2022

Evaluating the economic impacts of COVID-19 pandemic on shipping and port industry: A case study of the port of Shanghai.

Xiaoxuan Zhou, Danyue Jing, Lei Dai, Yubing Wang, Siqing Guo, Hao Hu

Abstract read
In one paragraph

Article in Ocean & coastal management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiaoxuan ZhouState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China.
Danyue JingState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China.
Lei DaiState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China.
Yubing WangState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China.
Siqing GuoState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China.
Hao HuState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stability of shipping and port operations are crucial for international trade and global supply chain. However, the COVID-19 pandemic hit the shipping and port industry enormously in late 2019, and continues till now. It is important to identify the impacts of the pandemic on shipping and port operations and evaluate the potential economic impacts for better setting future development strategies and policies. A System Dynamics (SD) model is proposed to depict the impact transmission within the supply chain considering 5 sub-systems (shipping, port, transportation, manufacturing and social). Potential economic impacts which are represented by the shipping loss and port loss will be assessed. 6 scenarios with different epidemic durations and capacity recovery degrees have been set to investigate the economic impacts. The port of Shanghai, together with the container shipping business is selected as input for case study. Results indicate that in the first few months the port and carriers may suffer economic loss due to shrunken demand caused by COVID-19. But later carriers may enjoy an increase of income compared to non-pandemic scenario owing to strong recovery in most scenarios. Moreover, we found that manufacturing, transportation and port operation capacities would jointly affect the recovery process and economic impacts. The findings can facilitate policy makers in making port management and future industry development decisions.

Indexed as

COVID-19Economic lossEvaluationShipping and port industrySystem dynamics

Identifiers

PMID36068869
PMCPMC9436896

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.