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Estimation of Profit Efficiency in the Hotel Industry Using a Bayesian Stochastic Frontier Model
dc.contributor.author | Arbelo, Antonio | |
dc.contributor.author | Arbelo-Pérez, Marta | |
dc.contributor.author | Pérez-Gómez, Pilar | |
dc.date.accessioned | 2024-04-15T08:14:13Z | |
dc.date.available | 2024-04-15T08:14:13Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://thuvienso.hoasen.edu.vn/handle/123456789/15099 | |
dc.description | Cornell Hospitality Quarterly 1– 12 © The Author(s) 2018 | vi |
dc.description.abstract | The present study measured profit efficiency and its determinants in the hotel sector in Spain from 2010 to 2014, using a Bayesian stochastic frontier approach. This model provides estimates of efficiency and more accurate confidence intervals than the traditional frequentist approach. The results revealed that the hotels are operating with significant profit inefficiencies. These inefficiencies are significantly affected by size, location, occupancy rate by region, customer satisfaction, and whether the hotel is affiliated or independent. Finally, the study points out the strategic implications of these findings, to improve the efficiency of the hotels. | vi |
dc.language.iso | en | vi |
dc.publisher | The Author(s) | vi |
dc.subject | profit efficiency, Bayesian stochastic frontier, hotel industry | vi |
dc.title | Estimation of Profit Efficiency in the Hotel Industry Using a Bayesian Stochastic Frontier Model | vi |
dc.type | Article | vi |
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