This paper explores how tourists from 165 regions of EU-27 countries cut back their tourism expenditure during the global economic crisis in 2009. This study disentangles the cutback tourism expenditure in two mutually related decisions: First, it takes into account whether the tourist has had to cut back on tourism expenditure due to the crisis and second, how they decided to cut back according to six alternatives: "fewer holidays", "reduced length of stay", "cheaper means of transport", "cheaper accommodation", "travel closer to home" or "change the period of travel". The econometric model able to deal with such simultaneous decisions is an adaptation of the Heckman model in generalized structural equations modeling. This methodology permits to control by sample selection bias and correlations between equations. This paper highlights the existence of patterns in the cut back alternatives depending on the socioeconomic characteristics of the household and the climate conditions in origin.

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Airbnb is now present in many tourist destinations worldwide. With the pricing power in the hands of the individual hosts, the assessment of competition is of great relevance. Despite the many studies on the drivers of Airbnb prices, there is no contribution yet on how quality affects the spatial dimensions of Airbnb markets. We aim to fill this gap with a case study of Bristol (United Kingdom). Using standard regression techniques, we find a quality-moderated spatial decay in the price effects of competition in local Airbnb markets. Thus, the price of a given listing is affected negatively by other listings within a set of radii that decrease with product differentiation. Beyond this local market boundary, the existence of other listings may increase prices, as demand is driven to the neighborhood- or city-wide markets because of the diversity of tourism accommodation.

In the early 2000s, the Parliament of the Canary Islands passed a series of tourism moratoria to restrict the growth in tourism supply. Even though the effects of moratoria have been covered in the literature, there is little quantitative evidence about their economic impact on the destinations, particularly in relation to the goal of increasing the quality of the accommodation supply. In order to fill this gap, this paper employs both regression and computable general equilibrium (CGE) methods to estimate the economic impact of the increased 5-star capacity acquired by the Canary Islands during the three moratoria periods between 2003 and 2017. The regression results show that the successive moratoria had a significant impact on the 5-star hotel supply in the Islands, while the CGE model translates the extra capacity into a positive impact on social welfare, with output increases in the sectors that complement tourism activity.