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Despite the importance of collaborative accommodation in practically every tourist destination, to date, the majority of studies have focused on large cities and urban destinations. This article distinguishes the factors that explain the added value of the Airbnb properties, differentiating between urban and sun and beach holiday destinations.To do this, nine destinations from one of the most important European tourism regions have been studied using a hedonic pricing model that includes variables related to the characteristics of the properties and others that define the online reputation of the hosts and properties and the tourism environment. The results reveal that the sharing economy fosters the emergence of private rentals, expanding the overall size of the accommodation market with some clear differences between the two types of tourist destinations, which emphasize the idea that the decisions made by stakeholders should be considered from a local perspective.

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This paper analyses the effects of the recent Arab uprisings on tourism destinations located along the Mediterranean coastline. It uses time-series analysis to model international tourist arrivals. First, autoregressive integrated moving average (ARIMA) models are estimated for the period 1980-2009 and predicted for 2010-2014 to establish suitable country controls. Second, Bayesian Structural Time-Series models-designed primarily to determine causal impacts in on-line marketing campaigns-are used to establish the effects of the events in Tunisia, Egypt, Morocco, Turkey, Spain and Greece. The main conclusion is that the models clearly capture the negative impact of the uprisings in Tunisia and Egypt and their positive impacts on Morocco and Turkey. However, the effects on Spain and Greece are less clear and depend crucially on the set of controls used in the analysis.