Evidence map›Paper›PMID 36618962›Full record

ArticleTransportation research interdisciplinary perspectives2023

Comparative evidence on the impact of the COVID-19 outbreak and vaccine discovery on the global transportation industry.

Sakkakom Maneenop, Suntichai Kotcharin

Abstract read
In one paragraph

Article in Transportation research interdisciplinary perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Sakkakom ManeenopDepartment of Finance, Thammasat Business School, Thammasat University Bangkok, Thailand.
Suntichai KotcharinDepartment of International Business, Logistics and Transport, Thammasat Business School, Thammasat University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research investigated the daily abnormal stock returns of 727 listed companies from 63 countries. We tested the impact of two major COVID-19 related events-(1) the declaration by the World Health Organisation of the global pandemic and (2) the vaccine discovery announcement by Pfizer/BioNTech-on transportation stock price reactions. We found that the pandemic declaration event negatively affected transportation stocks, whereas the vaccine announcement had a positive effect. Passenger markets were more affected than freight markets. Airlines stocks were most struck during the pandemic, whereas railroad companies were unaffected. However, airlines were the best performers following the vaccine discovery event. During the pandemic incident, European transportation firms were hit to a large extent; however, they also rebounded well during the vaccine event. Transportation firms in emerging markets were hit more than those in developed markets; however, both recovered to the same degree during the vaccine event. Transportation firms from countries with higher exposure to China were affected less than those with lower exposure during both events. Our implications are relevant to how investors make investment decisions surrounding market uncertainty. Moreover, corporate managers can refer to the findings when they formulate their firm's financial policies and operations to respond to stock market reactions in the wake of the pandemic. Our results can also help policymakers evaluate and deploy effective policies to boost investor confidence and keep transportation firms viable during a crisis. Overall, the findings can be used for future policy formulation in the transportation industry.

Indexed as

COVID-19Event studyExposure to ChinaStock returnsTransportationVaccine

Identifiers

PMID36618962
PMCPMC9805893

What OpenQuestion holds

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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.