This edited book discusses the impacts of tourism from both theoretical and practical perspectives. This is a critical issue, especially in light of how some destinations have been adversely affected by overtourism (Butler and Dodds, 2019), and recent discussions about downsizing tourism to overcome these negative impacts (Higgins-Desbiolles et al., 2019). Therefore, the timely publication of this book makes a significant contribution to the field. This 35 chapter book begins with an introduction by the editors focused on the critical link between positive and negative tourism impacts and sustainability. The editors focus on the economic, socio-cultural, and environmental impacts of tourism, highlighting the theoretical basis for tourism impact studies. The focus here is on the perceptions and attitudes of residents to the impacts of tourism and related theories, eschewing wider perspectives of tourism impacts. While an understanding of residents' perceptions of tourism impacts is critically important, focusing exclusively on this perspective fails to deliver on holistic perspectives this book promises. The aforementioned 35 chapters are divided across seven parts, the first of which focuses on tourism impacts in general and includes six chapters. After discussing the links between planning and tourism impacts, and proposing a framework for tourism planning, the authors highlight the importance of impact assessments in tourism planning, with resident participation deemed essential. In Chapter 2, the authors discuss the links between positive and negative tourism impacts, plus the quality of life (QoL) of destination community residents. The authors discuss measures of QoL and provide an overview of tourism-related QoL studies. Nonetheless, there is still an exclusive focus on the perspectives of residents in terms of tourism impacts and QoL. In Chapter 3, the authors explore the economic, socio-cultural, and environmental impacts of tourism in Lisbon-Portugal as a rapidly growing European destination. The authors urge key stakeholders to mitigate the negative impacts of rapidly expanding tourism. In Chapter 4, the authors draw attention to the International Network of Sustainable Tourism Observatories (INSTO) Program under the UNWTO, and discuss the concept of

Airbnb is currently one of the most developed new forms of hospitality. It is essentially an online platform that connects the owners of apartments or rooms with potential guests. The core of the Airbnb model is the host, who offers a support to guests and favor a link between the guests and the tourism destination. Airbnb awards the best hosts with the badge of "Superhost", which is attributed according to four elements: the occupancy rate, the number of reservations, the response rate and the cancellation policy. This paper focuses on hosts and their activities. Specifically, the main goal is understanding if the four aforementioned elements actually influence the attribution of the "Superhost" badge to hosts operating in two of the main Italian touristic destinations: Sardinia and Sicily. Furthermore, the link between the four basic elements and other "managerial factors" is analyzed. Logistic and Probit models are used for these purposes and the main findings are derived from the computation of marginal effects. The results show a direct impact of the four Airbnb variables and of other "managerial" variables, as for instance the presence of extra fees for cleaning or similar services, on the probability to be a superhost.

Following previous research on museum and tourism websites, this study focuses on the websites created by UNESCO sites located in France, Italy, and Spain to evaluate their information content and how it can influence their online popularity. Empirical evidence suggests the following: a) heritage sites basically create websites to provide general and touristic information; b) the use of interactive elements and on-sale platforms is limited; c) relevant touristic information, engaging contents, and interactive elements are necessary to reach online popularity, and d) access is usually obtained without passing through a search engine tool. Heritage sites are considered an important element attracting tourists to visit a destination; hence, there is an urgent need for managerial implications on the most effective communication strategy that must be used.

TV series and cinema productions are considered one of the most recent and promising instruments to promote tourist destinations and to increase tourist flows. However, a few papers analyze empirically their impact on tourist choices. We contribute to the scarce literature by investigating the impact of one of the most successful TV series of all times: Game of Thrones (GoT). The series was internationally broadcasted and filmed around the world. We focus on fourteen filming locations in three different countries: Spain, Croatia and Malta. To estimate how much of their recent tourism performance is due to the visibility obtained through GoT, we use county-level panel data in the years 2007–2019 and apply an event study design as methodology. We deal with the issue of treatment effect heterogeneity over time and across counties by adopting an interaction-weighted estimator which focuses on season-specific treatment effect. The results show a positive and persistent impact of GoT on tourism performance, on both new tourist arrivals and overnight stays, and are not driven by spillover effects. Overall, findings confirm the ability of TV productions to boost the tourist flows in the filming locations.

New forms of hospitality grew increasingly more popular and successful during the last decades. Nowadays, they are chosen for different reasons, one of the most important certainly being price. Understanding the elements that can impact on price determination is crucial to increase profitability. We propose two price indicators for Airbnb accommodations, which are defined in three phases using proportional odds model as a reference model. The first phase focuses on the probability estimation of accommodations belonging to a specific class of price. The second phase aims to evaluate the ability of the model to make good predictions by computing three different indexes. Finally, the three indexes are combined to define the indicators q and r which evaluate, respectively, the impact that six different dimensions (transports, culture, crowd, property, management, and time) have with respect to price determination on Airbnb accommodations and their relative importance concerning neighborhoods. The analysis is focused on 61 neighborhoods of Rome. The findings show differences with respect to the impact of the dimensions on price for each neighborhood of Rome.