nep-tur New Economics Papers
on Tourism Economics
Issue of 2022‒08‒22
two papers chosen by
Laura Vici
Università di Bologna

  1. Interactions between stakeholders in Lourdes: An 'Alpha' framework approach By Hugues Séraphin; Nathalie Jarraud
  2. Forecasting Domestic Tourism across Regional Destinations through MIDAS Regressions. By Nava, Consuelo R.; Osti, Linda; Zoia, Maria Grazia

  1. By: Hugues Séraphin (University of Winchester); Nathalie Jarraud (TREE - Transitions Energétiques et Environnementales - UPPA - Université de Pau et des Pays de l'Adour - CNRS - Centre National de la Recherche Scientifique)
    Abstract: Purpose: Taking Lourdes as an example, this paper aims at understanding the relationship amongst the main tourism and events industry stakeholders. Methods: To achieve the objective of the study, data were collected through interviews of key players. The results where then filtered through the 'Alpha' framework to theorise the interactions amongst stakeholders. Results: The study also provides a (1) typology of the ultimate alpha syndrome in the context of destination management; (2) typology of the delta syndrome. (3) Finally, the study argues that in destinations where there is an ultimate alpha hallmark event, or an ultimate alpha stakeholder, a situation quite similar to an anti-competitive market can arise. This situation is referred as 'ultimate alpha tourism monopoly'. Implications: Based on the findings of this study, Destination Marketing Organisations need to ensure that there is a suitable synergy amongst all stakeholders involved in the tourism industry (and related sector), to avoid anti-competitive market 'ultimate alpha tourism monopoly' to arise.
    Keywords: Lourdes,Alpha framework,Hallmark,Destination management,Performance
    Date: 2022
  2. By: Nava, Consuelo R.; Osti, Linda; Zoia, Maria Grazia (University of Turin)
    Abstract: Over the years, benefits of domestic tourism have been shadowed by the exponential growth of international tourism, despite the former representing a crucial resource, especially at times of geopolitical instability and pandemics. Therefore, forecasting domestic tourism across different regions and sub-regions becomes fundamental to determine its viability as a substitution of international tourism during the COVID-19 pandemic and to evaluate the effectiveness of governmental incentive policies introduced for its promotion. To this aim, and given the availability of data sampled at different frequencies, mixed data-sampling (MIDAS) models have been employed to estimate and predict domestic tourism expenditures, arrivals, and overnight stays. To this aim, we consider the specific case of Italy for illustrative purposes.
    Date: 2022–07

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