Who Pays More for a Cultural Festival,Tourists or Locals? A Certainty Analysis of a Contingent Valuation Application

Cultural festivals are one of the most common representations of diversification strategies in tourist demand in cities boasting abundant historical heritage. The goal of this work is to estimate the economic value allocated by tourists and local residents to a classical music festival in the emblematic city of Santiago de Compostela (Spain). The contingent valuation method is used to ascertain whether there are any significant differences between the value declared and to study the sensitivity of the findings in a range of socio‐economic variables. Finally, the problems of hypothetical bias are explored, as are the possible implications for management of pricing policies. Copyright © 2011 John Wiley & Sons, Ltd.     

Tourism Demand Forecasting with Neural Network Models: Different Ways of Treating Information

This paper aims to compare the performance of three different artificial neural network techniques for tourist demand forecasting: a multi‐layer perceptron, a radial basis function and an Elman network. We find that multi‐layer perceptron and radial basis function models outperform Elman networks. We repeated the experiment assuming different topologies regarding the number of lags used for concatenation so as to evaluate the effect of the memory on the forecasting results. We find that for higher memories, the forecasting performance obtained for longer horizons improves, suggesting the importance of increasing the dimensionality for long‐term forecasting. Copyright © 2014 John Wiley & Sons, Ltd.