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

By Álvaro Matias, Peter Nijkamp, Manuela Sarmento

'Advances in Tourism Economics' follows his predecessor 'Advances in sleek Tourism examine' (2007) in supplying an intensive evaluation of cutting-edge fiscal examine during this swiftly constructing box. The authors commence via reading the new upsurge of model-based fiscal study within the box, which builds on strong instruments in quantitative economics, reminiscent of discrete selection versions, social accounting matrices, info envelopment analyses, impression evaluate types or partial computable equilibrium types together with environmental externalities. the amount originates from this novel examine spirit within the region and goals to supply an enticing choice of operational learn instruments and methods. It varieties an beautiful list of contemporary tourism economics and positions the sector in the powerful culture of quantitative monetary learn, with due consciousness for either the call for and provide facet of the tourism quarter, together with technological and logistic advances.

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5 assigned to the minimum room’s price in the hotel chain to take into consideration that the customers prefers to pay less than more. The rank(i,r) is used to sort the hotels, in a way to put the hotels with the higher hedonic value hi and price close to or lower than prc in the highest positions. If the chosen hotel has no vacancies the customer selects the next one with a lower rank. A maximum of K bookings per day are allowed. Without loss of generality, we assume that every potential guest of the hotel chain is looking for a room to be available since the following day.

Let T be the number of simulation days (with t = 1, 2, . , T) and K the maximum number of bookings within a day. DEA is run at the end of each semester. 1 Customer Side The potential customer enters the market of lodging having already chosen the room type r and the duration of the holiday dcr . She/He is assumed to have complete information regarding both the hedonics and the rooms’ price for each of the hotels of the chain. This hypothesis is not really far from reality due to the development of the Information Technology and, therefore, she/he has only to decide which of the hotels of the chain is the best according to her/his preferences expressed in terms of priceand quality hi .

The heart of the analysis lies in finding the “best” virtual producer (a single peer or a peer group) for each real producer (virtual because this producer does not necessarily exist and two or more DMUs can be combined to form a composite producer). If the virtual producer is better than the original producer by either making more output with the same input or making the same output with less input then the original producer is inefficient. By identifying the efficiency score of each DMU in the sample, the slack variables in inputs and outputs of the inefficient DMUs and the peer group of efficient ones, DEA is one of the most promising techniques for the improvement of efficiency.

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