Evidence map›Paper›PMID 34580625›Full record

ArticleTourism management perspectives2021

Measuring risks and vulnerability of tourism to the COVID-19 crisis in the context of extreme uncertainty: The case of the Balearic Islands.

Italo Arbulú, Maria Razumova, Javier Rey-Maquieira, Francesc Sastre

Abstract read
In one paragraph

Article in Tourism management perspectives, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

4 authors.

Italo ArbulúDepartment of Applied Economics, University of the Balearic Islands, Cra. deValldemossa, km 7.5. Palma de Mallorca, Baleares 07122, Spain.
Maria RazumovaFelipe Moreno University College of Tourism, University of the Balearic Islands, C/ Sol, 3. Palma de Mallorca, Balearic Islands 07001, Spain.
Javier Rey-MaquieiraDepartment of Applied Economics, University of the Balearic Islands, Cra. deValldemossa, km 7.5. Palma de Mallorca, Baleares 07122, Spain.
Francesc SastreDepartment of Applied Economics, University of the Balearic Islands, Cra. deValldemossa, km 7.5. Palma de Mallorca, Baleares 07122, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 crisis is dramatically affecting the world economy and, particularly, the tourism sector. In the context of extreme uncertainty, the use of probabilistic forecasting models is especially suitable. We use Monte Carlo simulations to evaluate the outcomes of four possible tourism demand recovery scenarios in the Balearic Islands, which are further used to measure the risks and vulnerability of Balearic economy to the COVID-19 crisis. Our results show that fear of contagion and loss of income in tourism emitting countries will result in a maximum 89% drop in arrivals in the Balearic Islands in 2020.Given that most tourism-related occupations are not highly skilled and are characterized by lower salaries, there are greater risks of loss of welfare, especially for women, who are a major share of the tourism labour force.The model shows important differences among minimum, average and maximum estimates for tourism sector production in 2021, reflecting considerable uncertainty regarding the speed of the sector's recovery. The results serve as a basis to prepare a range of policies to reduce destination vulnerability under different crisis outcomes.

Indexed as

COVID-19Monte CarloRiskTourism demandUncertaintyVulnerability

Identifiers

PMID34580625
PMCPMC8458003

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.