Evidence map›Paper›PMID 35721368›Full record

ArticleTechnological forecasting and social change2021

Impact of COVID-19 on the travel and tourism industry.

Marinko Škare, Domingo Riberio Soriano, Małgorzata Porada-Rochoń

Abstract read
In one paragraph

Article in Technological forecasting and social change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
–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

86 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  18. Impact of COVID-19 Pandemic on Tourist Travel Risk Perception and Travel Behaviour: A Case Study of Poland.International journal of environmental research and public health · 2023
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  19. Mental Health of Tourism Employees Post COVID-19 Pandemic: A Test of Antecedents and Moderators.European journal of investigation in health, psychology and education · 2023
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26 more citing papers are in PubMed but not listed here.

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

3 authors.

Marinko ŠkareJuraj Dobrila University of Pula, Faculty of Economics and Tourism "Dr. Mijo Mirković", Croatia.
Domingo Riberio SorianoUniversity of Valencia, Spain.
Małgorzata Porada-RochońFaculty of Economics, Finance and Management, University of Szczecin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our paper is among the first to measure the potential effects of the COVID-19 pandemic on the tourism industry. Using panel structural vector auto-regression (PSVAR) (Pedroni, 2013) on data from 1995 to 2019 in 185 countries and system dynamic modeling (real-time data parameters connected to COVID-19), we estimate the impact of the pandemic crisis on the tourism industry worldwide. Past pandemic crises operated mostly through idiosyncratic shocks' channels, exposing domestic tourism sectors to large adverse shocks. Once domestic shocks perished (zero infection cases), inbound arrivals revived immediately. The COVID-19 pandemic, however, is different; and recovery of the tourism industry worldwide will take more time than the average expected recovery period of 10 months. Private and public policy support must be coordinated to assure capacity building and operational sustainability of the travel tourism sector during 2020-2021. COVID-19 proves that pandemic outbreaks have a much larger destructive impact on the travel and tourism industry than previous studies indicate. Tourism managers must carefully assess the effects of epidemics on business and develop new risk management methods to deal with the crisis. Furthermore, during 2020-2021, private and public policy support must be coordinated to sustain pre-COVID-19 operational levels of the tourism and travel sector.

Indexed as

COVID-19Financial cyclesPandemic crisesPanel structural vector autoregression (PSVAR)System dynamicsTourism industry

Identifiers

PMID35721368
PMCPMC9189715

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.