Search results

This paper develops a theoretical model that analyzes the decision problem the landowner has to face between the construction of second homes and hotels. The starting point implies verifying that for a given tourist destination, the land available for the construction of accommodation is limited. For this reason, when choosing between building second homes or building hotels, many factors influence the decision model. The theoretical mechanism generalizes the model introduced in Brida and Boffa (2010) and is based on a four-stage sequential game with four players. From the results of the model, the authors conclude that it is optimal from the social point of view both to build a hotel and to build a second home because both generate added value during the year. For this reason, the construction of second homes should be taken into account in the planning policy of the tourist destination. This arises from considering that second homes, as they remain occupied all year like hotels, in certain tourist destinations, do not generate seasonality.

From these data, the authors construct an uncertainty index through the use of a vector autoregressive (VAR) model to measure the impact of uncertainty on GDP, controlling for inflation, which may affect macroeconomic performance. Results indicate that uncertainty is negatively correlated with the economic cycle and the inter-annual variation of the biannual average product.

This study empirically explores the dynamics of expectations of the Uruguayan manufacturing firms about industrial economic growth. This study explores the dynamics of the industrial economic growth expectations of Uruguayan manufacturing firms. The empirical research is based on firms' expectations data collected through a monthly survey carried out by the Chamber of Industries of Uruguay (CIU) in 2003–2018.

Granger causality tests show that uncertainty Granger-causes industrial production growth and a one standard deviation shock on uncertainty generates a contraction in the industrial production growth rate. Finally, the authors use statistical and network tools to identify groups of firms with similar performance on expectations. Results show that higher uncertainty is associated with smaller, more interconnected groups of firms, and that the number of homogeneous groups and the distance between groups increases with uncertainty. These findings suggest that policies focused on the coordination of expectations can lead to the development of stable opinion groups.

The paper introduces new data and new methodologies to analyze the dynamics of expectations of manufacturing firms about industrial economic growth.

1. An empirical approach to compare expectations of firms is introduced.

2. The occurrence of groups of opinion is tested.

3. Central companies in the network of expectations are detected.

4. More uncertainty implies a higher degree of discrepancy between the overall firm’s opinions and more compact opinion groups.

An empirical approach to compare expectations of firms is introduced.

The occurrence of groups of opinion is tested.

Central companies in the network of expectations are detected.

More uncertainty implies a higher degree of discrepancy between the overall firm’s opinions and more compact opinion groups.

Our paper studies a central issue with a long history in economics: the relationship between population and economic growth. We analyze the joint dynamics of economic and demographic growth in 111 countries during the period 1960–2019.

Using the concept of economic regime, the paper introduces the notion of distance between the dynamical paths of different countries. Then, a minimal spanning tree (MST) and a hierarchical tree (HT) are constructed to detect groups of countries sharing similar dynamic performance.

The methodology confirms the existence of three country clubs, each of which exhibits a different dynamic behavior pattern. The analysis also shows that the clusters clearly differ with respect to the evolution of other fundamental variables not previously considered [gross domestic product (GDP) per capita, human capital and life expectancy, among others].

Our results indirectly suggest the existence of dynamic interdependence in the trajectories of economic growth and population change between countries. It also provides evidence against single-model approaches to explain the interdependence between demographic change and economic growth.

We introduce a methodology that allows for a model-free topological and hierarchical description of the interplay between economic growth and population.

This Chapter undertakes an empirical analysis of the relationship between air transport demand and economic growth in Uruguay, Brazil, Argentina, and Chile, using annual data from 1970 to 2019. The results indicate a cointegration relationship between air passenger movements, real exchange rate, and GDP for Brazil and Uruguay, but not for Argentina, while for Chile bivariate cointegration exists. Moreover, exogeneity analysis and impulse response simulations show that in the long run there is a bidirectional causality between transport and economic growth for Uruguay, but for Brazil air transport is not influenced by GDP growth. Air transport is, however, positively affected in the long run by Chile's GDP growth. For Argentina, the probability of causality from air transport to economic growth is low and conversely is not significant.

The purpose of this paper is to examine museum visitors’ experience. The objective of the research is to explore preferences, behaviour, overall. This study experience and the determinants on repeated visits to two heritage sites. In particular, a more comprehensive regression approach is introduced and employed to compare results at two regional museums.

First, a factor analysis identifies a set of orthogonal factors related to visitors’ perceptions on their positive and negative experiences at two different museums. Second, a two-step cluster analysis is implemented to identify specific demand segments. Third, a regression analysis reveals the key determinants that influence visitors’ perceptions on the quality of services provided at the cultural sites. The empirical data were collected at two archaeological museums located in Sardinia and Trentino Alto Adige (Italy).

On the whole, some homogeneous findings have been obtained for the two cultural sites, regardless of the different levels of attractiveness exerted by these two museums. Moreover, the outcomes highlight that the two museums need to be reinterpreted and reorganised with the provision of supplementary services, able to satisfy a broader audience, and enriching their traditional mission that is to collect, preserve and exhibit the archaeological heritage.

The methodological approach presented in this paper is for practitioners and curators to deepen their understanding of their consumers and to improve the overall quantity and quality of services offered.

This paper presents a novel and integrated approach to investigate customers’ experience and their needs with the aim of improving the overall quality of the services provided at the museum. The proposed methodology is used to analyse multidimensional aspects of the visit to a cultural site. Within the literature on museum marketing and management, this methodological framework can be regarded as an alternative approach to analyse visitors’ experience, characteristics, behaviour, preferences and to elicit specific characteristics of different segments of demand.

This paper aims provides an empirical analysis of the development of the internationalisation process in the Spanish hotel industry, which has experienced major changes during the past decade. The degree of internationalisation between 2000 and 2010 is used as a proxy variable with the aim of mapping the development of international strategies.

A longitudinal dataset measuring the internationalisation of Spanish hotel chains is used. Cluster analysis identifies the different behaviour of groups of firms during the analysed period.

Two different clusters are detected, which can be attributed to different internationalisation strategies over time. Small and medium (SME) hotel companies seem to follow a different path of development than more established multinational companies. Over time, the entire group tends to be more compact, whereas the distance between the clusters is shown to diverge in final years. The groups’ composition suggests that business-networking relationships can be a strategy of particular importance for SMEs pursuing international expansion.

This paper develops a better understanding of the changes of the internationalisation patterns of Spanish hotel chains. Findings could address managers in strategic decisions about how to improve competitive position. In particular, they recommend accounting for size, international experience and business network relationships when expanded abroad.

This paper introduces a new approach based on studying clusters of Spanish hotels according to their internationalisation strategies over the time. Further analysis revealed the role of business network on internationalisation patterns.

The purpose of this paper is to explain the onshore satisfaction of cruise passengers, in the port of call of Cartagena de Indias.

A questionnaire was given to 1,361 passengers of 28 cruise ships during October and November of 2009, then factor analysis and cluster analysis were employed.

The results suggest that although visitors held a high overall satisfaction of the onshore experience, there are two dimensions that require the attention of tourist policy makers: the city infrastructure (traffic, noise, cleanliness and infrastructure) and the general shopping experience. In particular, the worst experience seems to be related to street vendors. Moreover, there is evidence that tourists from the USA are more exigent of being fully satisfied.

The survey was only conducted in the months of October and November. Future research can also include the repetition of the study in different seasons to compare results. The study shows that there is a good potential for the growth of tourism activity of the destination because over 52 per cent of the participants declared their intention of return to the city as land tourists and more than 60 per cent will recommend the destination to their friends.

The application of known methodologies to an emergent destination, in which many stakeholders are involved and concerned about cruise tourism evolution and its effects on the destination.

The aim of this paper is to analyse how the impacts of tourism are perceived by a local population and which factors affect the relationship between impacts and perceptions' formation, with specific consideration of the framework in a mountain resort. For this purpose, the paper explores the existing literature on issues related to host perceptions and attitudes and involves a primary data collection in the mountain community of Folgaria in Northern Italy.

The number and quality of the questionnaires collected allowed a quantitative analysis of the hosts' perceptions and attitudes to be performed, and a cluster analysis has demonstrated the existence of different groups within which members have common features and similar perceptions and attitudes.

In general, this research work has revealed a recognition by the residents of the positive economic impacts of tourism. Also, the social and cultural impacts are recognized to be positive, but at a lower degree. In terms of the future tourism polices, the different groups identified in the cluster analysis exert different positions.

The paper presents the first study of residents' perceptions and attitudes applied to a small mountain community.

This study aims to examine the current state of the research activities of scholars in the hospitality and tourism field by analyzing the first 20 years of the new millennium.

Longitudinal analyses using 14,229 journal articles as data source were realized by adopting BibExcel, Gephi and VOSviewer network analysis software packages.

This study provides a comprehensive overview of the hospitality and tourism research based on authorship and social network analysis, with patterns of prolific authors compared over four distinct periods.

The hospitality and tourism academic society is clearly illustrated by tracing academic publication activities across 20 years in the new millennium. In addition, this study provides a guide for scholars to search for multidisciplinary collaboration opportunities. Government agencies and non-governmental organisations can also benefit from this study by identifying appropriate review panel members when making decisions about hospitality- and tourism-related proposals.

To the best of authors’ knowledge, this study is the first to use bibliometric analysis in assessing research published in leading hospitality and tourism journals across the four breakout periods in the new millennium.