Download Advances in Tourism Economics: New Developments by Álvaro Matias, Peter Nijkamp, Manuela Sarmento PDF

By Álvaro Matias, Peter Nijkamp, Manuela Sarmento

'Advances in Tourism Economics' follows his predecessor 'Advances in sleek Tourism examine' (2007) in offering a radical evaluation of cutting-edge fiscal examine during this swiftly constructing box. The authors begin by way of reading the hot upsurge of model-based monetary examine within the box, which builds on robust instruments in quantitative economics, corresponding to discrete selection versions, social accounting matrices, information envelopment analyses, influence evaluation versions or partial computable equilibrium versions together with environmental externalities. the quantity originates from this novel study spirit within the zone and goals to provide an enticing choice of operational examine instruments and techniques. It varieties an attractive checklist of contemporary tourism economics and positions the sector in the powerful culture of quantitative financial examine, with due awareness for either the call for and provide facet of the tourism area, together with technological and logistic advances.

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2 The Minimal Set of Reducts First, we examine the minimal set of reducts together with their frequencies of appearance. The minimal subset of attributes, called a “reduct”, ensures the same quality of classification as the total set of attributes. Often, a number of reducts can be found. However, the minimal set of reducts contains no redundant information. In an optimal situation, only one reduct occurs because, the fewer possibilities for minimal sets, the higher the “predictive power” of the information (Pawlak 1991).

14 2 A Meta-analytic Comparison 29 the tourism sector. Furthermore, in line with our expectations, Schagen has a high multiplier value and Bolsward a medium one. However, the linear regression model does not predict the multiplier for Nunspeet very well. 16), the actual value is even higher. Furthermore, the multiplier value of Gemert is lower than was expected from the regression model. In spite of the larger population of Gemert, the actual tourism multiplier is the lowest of all the towns. This indicates that for these small towns, the regression model predicts the multiplier values quite well, but there are some discrepancies.

Is the N×1 vector of weights of the inputs and the output in the i-th linear program. 1 is a vector of ones. The dual form has been used to reduce the computational effort required by the optimization. Moreover the dual solution returns inputs and outputs’ values that are directly comparable to the original data. The Variable Return to Scales model allows us to capture measures of scale inefficiency as we will see in the next section, whereas the input oriented measure quantifies the input reduction needed for the hotel to become efficient holding the outputs constant.

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