Climate change impacts tourism, since both supply and demand of tourism services depend on the quality and the management of a set of environmental attributes. This paper critically reviews the empirical evidence in the literature of the last twenty years (2000–2019), by identifying the potential impacts of climate change in coastal and maritime destinations. The concept of Impact Chains is the methodological framework through which the literature is systematically selected, classified and assessed. A great heterogeneity of results is found, with estimates of physical and socio-economic impacts of climate change differing across destinations and methodologies. Moreover, the majority of recent studies mainly deals with only a few of the most important impacts, hence future research should be re-directed to overlooked indicators and relationships, which are key for designing effective climate policies at tourism destinations.

The tourism sector is recognised as being highly vulnerable to climate change, and research is still considered scarce to support destinations to enhance resilience capacities. This study aims to analyse tourists’ preferences for adaptation measures that can be implemented at coastal destinations to face climate risks. To this aim, 258 questionnaires were completed by tourists visiting Cyprus in the summer of 2019. Tourists were posed with hypothetical situations where several climate risks occur at the destination, and were asked to choose between alternative combinations of policies to counteract these impacts. Results indicate that the programs related to beach protection, heat waves amelioration, water supply and infectious diseases prevention are the most valued by tourists. The study provides recommendations aimed at being useful for all coastal destinations, highlighting the importance of climate-related preparedness and adaptive capacities to enhance the tourist experience value and promote economic impact.

This article identifies and then quantifies econometrically the impact of leniency programs on the perception of the effectiveness of antitrust policies in the business community using panel data for as many as 59 countries during a 14-year span. We use the dynamics of the gradual diffusion of leniency programs across countries and over time to evaluate the impact of the program, taking care of the bias caused by self-selection into the program. We find that leniency programs increase the perception of effectiveness by an order of magnitude ranging from 10 percent to 21 percent. Leniency programs have become weapons of mass dissuasion in the hands of antitrust enforcers against the more damaging forms of explicit collusion among rival firms in the market place.

This paper undertakes a data-driven segmentation analysis on tourists’ choice of island destinations in the context of a changing climate. To this end, 2528 tourists visiting ten European islands in the Mediterranean, Baltic, and Atlantic regions were posed hypothetical situations in which diverse impacts caused by CC (i.e., beach loss, heatwaves, storm intensification, etc.) were affecting the islands being visited. In each scenario, tourists’ responses ranged from stay on the island to change to an alternative destination. Cluster analysis allowed the identification of four segments: (1) LO-loyal oriented—tourists willing to stay on the island despite any climatic event (in this group, tourists would often change the travel date); (2) RA-risk-averse—tourists who would always avoid islands affected by CC; (3) WIL-risk-specific—a segment of tourists with a special aversion to the risks associated with wildlife disappearance and damage to infrastructure, and (4) 3S-sun, sea and sand seekers—tourists who would always avoid visiting islands where CC induced effects are related to beach loss or extreme events. Further analysis is dedicated to comparing segments in regard to their sociodemographic characteristics, the image of the island, and the importance given to the protection of environmental attributes when choosing an island destination. The results alert us about the climate-specific risks and tourist profiles that are relevant to explaining changes in the tourism geography and seasonality of islands. The findings are useful for providing operational marketing recommendations for destination managers, especially for taking competitive advantage of climate services, and for prevention and responsiveness management strategies.