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 while DEA Window analysis is used to capture efficiency changes over time. A Malmquist index is used to measure the productivity change and to decompose it into the catching-up and the frontier-shift effect. We find that policies implemented according to DEA Window analysis increase the efficiency scores for the hotel chain and its competitiveness.
Lacagnina, V., Provenzano, D. (2009). Hotel chain performance: a gravity-DEA approach. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? Advances in Tourism Economics, Lisbon (Portugal).
Hotel chain performance: a gravity-DEA approach
LACAGNINA, Valerio;PROVENZANO, Davide
2009-01-01
Abstract
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 while DEA Window analysis is used to capture efficiency changes over time. A Malmquist index is used to measure the productivity change and to decompose it into the catching-up and the frontier-shift effect. We find that policies implemented according to DEA Window analysis increase the efficiency scores for the hotel chain and its competitiveness.
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Descrizione: Fully Accepted for the third volume on 'Advances in Tourism Research' (Physica-Verlag). To be printed in 2011
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