3 resultados para Choice behaviour

em Universidad de Alicante


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This study analyses determinant factors in the taking of three basic decisions on the part of holidaymakers: going on holiday, foreign holidays and multi-destination holidays. We propose various research hypotheses relating to the impact on these decisions of various personal characteristics. The methodology used estimates various Binomial Logit models. The empirical application carried out in Spain on a sample of 3,781 individuals allows us to conclude that personal characteristics related to the chosen destination, personal restrictions and socio-demographic and psychographic characteristics are determinants of these decisions.

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El presente trabajo analiza los factores determinantes de la motivación cultural de los turistas a la hora de elegir un destino. Para ello se proponen diversas hipótesis de investigación relativas al impacto en dicha motivación cultural de varias características sociodemográficas, psicográficas y de comportamiento turístico. La aplicación empírica realizada en España sobre una muestra de ámbito nacional de 2.127 individuos permite concluir que mayores niveles de estudios, menores tamaños del hogar, mayor interés en conocer lugares nuevos y menor sensibilidad a los precios, conducen a una mayor motivación cultural. Especialmente curioso resulta el efecto curvilíneo obtenido para la variable edad: creciente en origen y decreciente a partir de un punto. Dada la relevancia de las dimensiones analizadas, las implicaciones para la gestión de destinos culturales son inmediatas.

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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.