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on Tourism Economics |
| 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 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-03696924&r= |
| 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 |
| URL: | http://d.repec.org/n?u=RePEc:uto:dipeco:202207&r= |