Septembre 2024

Jeudi 19
- 12:15 - 13:45

Faculté des Sciences Economiques

7 place Hoche 35000 Rennes

Ille-et-Vilaine

Bretagne

[Seminaire CREM] Unveiling overtourism: estimating the negative economic effect of excessive tourists’ flows

Name: [Seminaire CREM] Unveiling overtourism: estimating the negative economic effect of excessive tourists’ flows
Start: 2024-09-19T12:15:00+02:00
End: 2024-09-19T13:45:00+02:00
Location: Faculté des Sciences Economiques

Présentation de Martina DATTILO, Université de Torino (Italie)

Jeudi 19 septembre 2024, 12h15

Passé

Conditions

Salle de Robien

Outils d'inscription

seminaire-sciences-eco@univ-rennes.fr

Résumé :
The last decades have seen a constant increase in tourism demand. The literature about the economics of tourism traditionally puts forward the link between tourism and growth. Scholars almost find a confirmation of this mechanism, but there are also mixed results. The aim of this paper is twofold: first, it will help to contextualize the overtourism phenomenon in economic terms. Secondly, it will fill the gap in the literature by evaluating the negative tourism impact on citizens’ services. To understand the complex relationship between excessive tourist flows and sustainable development in cultural cities and other attractive areas, we employ a panel dataset of all the Italian municipalities for 10 years, from 2009 to 2019. Indeed, studying the Italian context is extremely relevant for this research question, given the large availability of highly touristic cultural sites where tourism facilities often are provided at the expense of the local population.

Septembre 2024

Jeudi 19
- 12:15 - 13:45

Informations additionnelles

Thématique

Recherche

Type d'événement

Séminaire

Réservé à la communauté universitaire

Aucune saisie

Campus

Aucune sélection

À propos du lieu

Faculté des Sciences Economiques

7 place Hoche 35000 Rennes

Ille-et-Vilaine

Bretagne

UID

Concédant : CREM - Centre de Recherche en Économie et Management

Mis à jour le 10 septembre 2024

Données ouvertes · Licence Ouverte 2.0