Tourism dependence and host community perceptions: notes on the social exchange theory

This article examines the opinions of the local population on the south coast of the Spanish province of Alicante regarding the development of tourism in recent years, analysing their perception of the benefits of tourism using the social exchange theory. This study is presented in two stages. The qualitative stage, which is based on in-depth interviews and focus groups, acts as a guide for the second stage, which consists of a survey conducted with the resident Spanish population. It was found that people linked to the tourist sector through their work view tourism as the driving force behind the economic and social development of their towns, although they are more critical than others of the model that has been established. They defend the development process that has taken place, but feel that overcrowding brings their towns to a standstill and needs to be resolved.

The role of authenticity in tourism planning: empirical findings from southeast Spain

Tourism is the main economic activity in many towns in the province of Alicante in southeast Spain and has turned this area into a paradigmatic example of mass tourism on the Mediterranean coast. Since the 1960s, the province's coastal towns have opted for a development model centred on what is known as 'residential tourism' or 'second-home tourism', with few exceptions, such as Benidorm. We wish to put forward the argument that the main social agents in the tourism sector have not perceived the 'search for authenticity' as a factor that may attract tourists to this area. To this end, we will start by reviewing critically the theoretical discourse about the role played by authenticity in the motivation of tourists. Then we will discuss some of the results obtained from empirical, qualitative research that included 37 in-depth interviews. As a guide for our empirical research, we use a model based on the stakeholder theory. The epistemological difficulties faced by researchers do not justify certain critical arguments that try to highlight the impossibility of operationalising essential concepts and approaches such as that of authenticity. Therefore, it is necessary that empirical research continues to delve into the sociological keys that determine the 'search for authenticity' in the tourists' experience.

Testing reference dependence, loss aversion and diminishing sensitivity in Spanish tourism

Based on Tversky and Kahneman’s Prospect Theory, we test the existence of reference dependence, loss aversion and diminishing sensitivity in Spanish tourism. To do this, we incorporate the reference-dependent model into a Multinomial Logit Model with Random Parameters -which controls for heterogeneity- and apply it to a sample of vacation choices made by Spaniards. We find that the difference between reference price and actual price is considered to make decisions, confirming that reference dependence exists; that people react more strongly to price increases than to price decreases relative to their reference price, which represents evidence in favor of the loss aversion phenomenon; and that there is diminishing sensitivity for losses only, showing convexity for these negative values.

Innovative Tourism Clusters: Myth or Reality? Empirical Evidence from Benidorm

Paper submitted to TCVT3 Bozen/Bolzano, 10-12 April 2014, International workshop on Tourists as Consumers, Visitors, Travellers

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.