Price sensitivity to tourism activities: looking for determinant factors

The literature contains evidence that there is a marked heterogeneity in price responses to tourism products, leading to a great variety of tourist sensitivities to price. Thus the role price plays is complex, and a particularly challenging aspect of this complexity is that its effect is not unambiguous, thereby negating the idea that the demand for tourism products and tourist activities can always be regarded as demand for ordinary goods. This article identifies and explains, as a novelty for the tourism industry, price sensitivities to tourism activities individual by individual. The operative formalization uses a mixed logit model to estimate the individual sensitivities to price, and then a regression analysis is applied to detect their determinants. The empirical application finds that motivations, influenced by age, and length of stay with a non-linear effect, are explanatory factors of tourists’ price sensitivity to activities.

Individual returns to education in the Spanish tourism sector during the economic crisis

This paper analyses individual returns to education in the Spanish tourism sector. The results, which are robust to different specifications of Mincer earnings regressions, show that the earnings returns to schooling for tourism workers are only half those for all other sectors, and that the difference in returns between these two groups has increased significantly during the economic crisis. This has happened at a time when the earnings range between those with lower and higher qualifications has narrowed in tourism while it has remained stable in other sectors, and when tourism has been capable of retaining most of its workforce while the rest of the economy has experienced a sharp decrease in employment.

The effects of economic crises on tourism success: an integrated model

This paper provides a theoretical model of the influence of economic crises on tourism destination performance. It discusses the temporary and permanent effects of economic crises on the global market shares of tourism destinations through a series of potential transmission mechanisms based on the main economic competitiveness determinants identified in the literature. The proposed model explains the non-neutrality of economic shocks in tourism competitiveness. The model is tested on Spain's tourism industry, which is among the leaders of the global tourism sector, for the period 1970–2013 using non-linear econometric techniques. The empirical analysis confirms that the proposed model is appropriate for explaining the changes in the market positions caused by the economic crises.

Quality certification, performance and size in hotel chains

This paper examines the relationship between quality certification and performance, and quality certification and size in hotel chains operating in Spain. In an initial phase, a quantitative study is made with secondary and objective data to analyse these relationships. In a second phase, a qualitative analysis is applied to reach a better understanding of the quantitative results. The findings show that chains with certified hotels achieve better performance levels; that better performance levels increase with the percentage of certified hotels within the chain; and that quality certification has positive effects on some performance variables. In addition, size is not a key factor for certification, although it could be an enabler.

Stochastic choice analysis of tourism destinations

The analysis of tourist destination choice, defined by intra-country administrative units and by product types “coastal/inland and village/city”, permits the characterisation of tourist flow behaviour, which is fundamental for public planning and business management. In this study, we analyse the determinant factors of tourist destination choice, proposing various research hypotheses relative to the impact of destination attributes and the personal characteristics of tourists. The methodology applied estimates Nested and Random Coefficients Multinomial Logit Models, which allow control over possible correlations among different destinations. The empirical application is realised in Spain on a sample of 3,781 individuals and allows us to conclude that prices, distance to the destination and personal motivations are determinants in destination choice.

Economic cycles, asymmetric crises and tourism competitiveness: emerging versus mature destinations

This paper considers the influence of business cycles and economic crises on tourism destinations competitiveness. This competitiveness is measured by its share in world tourism. Analysing a period of forty years, the differential permanent or temporary effects that economic crises has on competitiveness of mature and emerging destinations are observed. Furthermore, it identifies the economic transmission mechanisms operating within this context, analysing them using the framework of the most relevant explanatory models of tourism destination competitiveness. The preliminary results obtained suggest that the effects of these shocks on competitiveness are not neutral. In mature destinations the negative effects are more persistent in highly intensive crises. In emerging destinations with a growing natural trend on tourism demand, the effects of the economic crises are softer and limited, reinforcing the process of convergence between destinations. This effect works through two basic transmission mechanisms: the reduction of internal and external tourism demand and the decrease on investment.

A Sociocybernetics Data Analysis Using Causality in Tourism Networks

The aim of this paper is to propose a mathematical model to determine invariant sets, set covering, orbits and, in particular, attractors in the set of tourism variables. Analysis was carried out based on a pre-designed algorithm and applying our interpretation of chaos theory developed in the context of General Systems Theory. This article sets out the causal relationships associated with tourist flows in order to enable the formulation of appropriate strategies. Our results can be applied to numerous cases. For example, in the analysis of tourist flows, these findings can be used to determine whether the behaviour of certain groups affects that of other groups and to analyse tourist behaviour in terms of the most relevant variables. Unlike statistical analyses that merely provide information on current data, our method uses orbit analysis to forecast, if attractors are found, the behaviour of tourist variables in the immediate future.

Economic crises and tourism competitiveness: A Markov swtiching regression approach

Authors discuss the effects that economic crises generate on the global market shares of tourism destinations, through a series of potential transmission mechanisms based on the main economic competitiveness determinants identified in the previous literature using a non-linear approach. Specifically a Markov Switching Regression approach is used to estimate the effect of two basic transmission mechanisms: reductions of internal and external tourism demands and falling investment.