This paper explores the evolution of the efficiency of a hotel chain and its implications in terms of competitiveness. A gravity model and a data envelopment analysis(DEA) are implemented in a dynamic framework. The former generates the tourism demand towards each hotel of the chain whereas DEA Window analysis isrun to capture efficiency changes over time. A DEA based Malmquist productivityindex is used to measure the productivity change and to decompose any changeinto the catching-up and the frontier-shift effect. We find that policies implementedaccording to DEA Window analysis increase the efficiency scores for the hotel chain and its competitiveness.
|Titolo della pubblicazione ospite||Tourism economics: impact analysis|
|Numero di pagine||11|
|Stato di pubblicazione||Published - 2011|