Brexit Announcement: Immediate Impact on British Tourism in Spain

Perles‐Ribes, José Francisco; Rodríguez, Ana Belén Ramón; Padilla, Armando Ortuño

doi:10.1177/1938965518777699

Cited by 7 publications

(8 citation statements)

References 24 publications

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“…In line with previous empirical research on the BSTS framework for causal analysis (see, for instance, Perles-Ribes et al. , 2019a, b, 2018; Soto-Valero and Pic, 2019; Takyi and Bentum-Ennin, 2020; Khan Jaffur and Seetanah, 2020; Khan Jaffur et al. , 2021), we favour the static regression technique to avoid any overfitting problems.…”

Section: Methodsmentioning

confidence: 57%

“…Building upon existing empirical research (such as Perles-Ribes et al. , 2019a, b, 2018; Khan Jaffur and Seetanah, 2020; Khan Jaffur et al. , 2021), we follow a two-step procedure to apply the BSTS framework for causal analysis (see Perles-Ribes et al.…”

Section: Methodsmentioning

confidence: 99%

“…In this context, we employ the recently developed methodology of Bayesian structural time series (BSTS) framework for causal analysis. This was first proposed by Brodersen et al (2015) and relies on the implementation of the CausalImpact package in R. As Perles-Ribes et al (2019b) posited, the BSTS model is used mostly for the analysis of structural time series, and it is now widely used in the fields of philosophy, statistics, engineering as well as econometrics. Consistent with the aim of this study, this The export trade system technique is mainly used for short-term/long-term predictions of time series and inferring causal impact.…”

Section: Introductionmentioning

confidence: 99%

“…This was first proposed by Brodersen et al. (2015) and relies on the implementation of the CausalImpact package in R. As Perles-Ribes et al. (2019b) posited, the BSTS model is used mostly for the analysis of structural time series, and it is now widely used in the fields of philosophy, statistics, engineering as well as econometrics.…”

Section: Introductionmentioning

confidence: 99%

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The impact of COVID-19 outbreak on the Mauritian export trade: a disaggregated analysis

Jaffur

Seetanah

Tandrayen‐Ragoobur

et al. 2022

ITPD

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PurposeThis study aims at evaluating the effect of the COVID-19 pandemic on the export trade system for Mauritius during the first half of 2020 (January 2020–June 2020).Design/methodology/approachAn initial analysis of the monthly export time series data proves that on the whole, the series have diverged from their actual trends after the outbreak of the COVID-19 pandemic: observed values are less than those predicted by the selected optimal forecast models. The authors subsequently employ the Bayesian structural time series (BSTS) framework for causal analysis to estimate the impact of the COVID-19 pandemic on the island's export system.FindingsOverall, the findings show that the COVID-19 pandemic has a statistically significant and negative impact on the Mauritian export trade system, with the five main export trading partners and sectors the most affected. Despite that the impact in some cases is not apparent for the period of study, the results indicate that total exports will surely be affected by the pandemic in the long run. Nevertheless, this depends on the measures taken both locally and globally to mitigate the spread of the pandemic.Originality/valueThis study thus contributes to the growing literature on the economic impacts of the COVID-19 pandemic by focussing on a small island economy.

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Section: Methodsmentioning

confidence: 57%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The impact of COVID-19 outbreak on the Mauritian export trade: a disaggregated analysis

Jaffur

Seetanah

Tandrayen‐Ragoobur

et al. 2022

ITPD

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show abstract

“…Other researchers, such as Perles-Ribes, Ramón-Rodríguez, and Ortuño Padilla (2019), used the Bayesian structural time series framework to investigate the immediate effect of Brexit on British tourism in Spain. Their results suggest that Brexit did not cause an initial negative effect on the influx of or spending by British tourists in Spain.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring Diverse Sources of Linguistic Influence on International Tourism Flows

Khalid

Okafor

Sanusi

2021

Journal of Travel Research

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This study uses a gravity framework to explore the impact of diverse sources of linguistic influence on international tourism flows. The diverse sources of linguistic influence are captured using a common language index derived from a common native language, a common official language, and linguistic proximity. Our results reveal that linguistic factors as captured by common language index promote international tourism flows. The positive impact of linguistic ties on tourism flows is not only observed in the country-pairs that share an official language, it is also found in pairs that share unofficial native languages, that contain minority groups united by a common language, or that use closely related languages—all features captured by the language index. The analysis demonstrates that an index of common language is methodologically superior to other measures of linguistic similarity, including the dummy variable for a common official language that currently dominates the international tourism literature.

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Tourism: The Key Player

Tapiador

2019

World Regional Geography Book Series

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Brexit Announcement: Immediate Impact on British Tourism in Spain

Cited by 7 publications

References 24 publications

The impact of COVID-19 outbreak on the Mauritian export trade: a disaggregated analysis

The impact of COVID-19 outbreak on the Mauritian export trade: a disaggregated analysis

Exploring Diverse Sources of Linguistic Influence on International Tourism Flows

Tourism: The Key Player

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