This paper explores the evolution of the efficiency of a hotel chain and itsimplications in terms of competitiveness. A gravity model and a data envelopmentanalysis (DEA) are implemented in a dynamic framework. Theformer generates the tourism demand towards each hotel of the chain whileDEA Window analysis is used to capture efficiency changes over time. AMalmquist index is used to measure the productivity change and to decomposeit into the catching-up and the frontier-shift effect. We find thatpolicies implemented according to DEA Window analysis increase the efficiencyscores for the hotel chain and its competitiveness.
|Number of pages||0|
|Publication status||Published - 2009|