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.

Social networks in cultural industries

Although cultural industries can benefit from social networks in many ways, few Spanish studies examine the extent to which firms within this economic sector actually use such networks. This study's objective is to investigate the role of online social networks in Spanish cultural firms. The study begins with a literature review on cultural industries and social networks. Then the study proceeds to a Delphi analysis that draws upon experts' opinions. Results reveal a predominance of utilitarian uses over expressive ones, as well as an overriding use of proactive motivations rather than reactive ones within the context of cultural firms' use of social networks. The study confirms the profitability of these networks and the transfer of influence or power from providers to the consumers of cultural goods and services.

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.