This paper is a first attempt to propose a multidimensional study of overtourism and undertourism in Majorca, a Spanish island and one of the world’s leading mass tourist destinations. The study was conducted before and after the pandemic started through a survey to local stakeholders. They were asked for their perceptions of overtourism and undertourism, what problems these phenomena generate, which sustainability indicator might be used to measure each problem, and, lastly, what solutions they suggest. Three main dimensions were taken (economy and demography, culture, and ecology) to classify the problems, sustainability indicators, and solutions. The main conclusion is the stakeholders’ consensus that both situations are the outcome of an economy based on a tourism monoculture and they view the stoppage brought about by the pandemic as being an opportunity to restructure the current tourism model, mainly by tackling labor conditions, the wellbeing of local residents, and ecological resilience. The sustainability indicators proposed by the respondents could contribute to the establishment of a monitoring system of the problems generated by overtourism and undertourism. Most of these indicators are available in official statistics, but there are others that need to be developed ad hoc.

The objective of mature tourist destinations should not be to increase the number of tourists but to increase tourism revenue. To achieve this goal, such destinations should aim to attract higher spending tourists. In this paper, expenditure-based tourist segments are analysed (high, high/medium, medium/low and low spenders). Tourist characteristics and trip-related variables are used to identify the determinants of tourist expenditures. In addition, tourist motivations in choosing the destination were selected as explanatory variables. The results show that, as well as tourist and trip-related characteristics, some tourist motivations are also useful in describing expenditure-based segments. Planning strategies must bear in mind that the effect of tourist motivations on tourist expenditure may differ according to the factors involved.

This article analyzes the gender wage gap in the hospitality sector. First, it explores whether the gender wage gap is partly explained by the economic sector. Second, it measures how this gap changes across the wage distribution using quantile regression. Third, it decomposes the gender wage gap in the hospitality sector to distinguish which part can be explained by observed attributes and which part is explained by other factors (unobserved characteristics or gender discrimination). Methodologically, this article introduces the use of quantile regression to the analysis of the gender wage gap and its decomposition in the hospitality sector. The main findings are as follows. First, on average in the hospitality sector, wages (without taking into account worker skills) are below the overall average wages. However, if a deeper look is taken, this research reveals that unskilled workers are better paid in hospitality than in most of the other sectors. The opposite is true for skilled workers, since mid- and high-wage workers in the hospitality sector receive wages below their counterparts in other sectors. Second, the gender wage gap is particularly low in the hospitality sector and the gap changes across the wage distribution. Third, a large part of the gender wage gap in hospitality is not explained by worker or company characteristics. The segregation of women into worse-paid jobs and gender discrimination (or unobserved characteristics) seem to be the main sources of the gender wage gap.