2022
DOI: 10.1007/s12597-022-00619-8
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Estimating the hospitality efficiency in Mexico using Data Envelopment Analysis

Abstract: Tourism has been an important source of income and employment for Mexico, and the economic numbers generated by the tourism have been increasing during last 2 decades. However, the question is how much more tourism capacity can Mexico offer? Therefore, it is necessary to search areas with lower hospitality performance to secure tourism growth and create adequate decision-making strategies. In this article, we constructed Data Envelopment Analysis model to estimate the hospitality efficiency of 32 Mexican state… Show more

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Cited by 5 publications
(2 citation statements)
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“…Since our data is panel data, attention will also be paid to the change in efficiency over time. In this respect, either a window analysis (WA) like in Flegl et al (2023) or a calculation via the Malmquist productivity index (MI) as in Staňková et al (2022) are most often used. Considering the longer time period analyzed, we decided to use the decomposition of the MI in this article.…”
Section: Efficiency Change Over Timementioning
confidence: 99%
“…Since our data is panel data, attention will also be paid to the change in efficiency over time. In this respect, either a window analysis (WA) like in Flegl et al (2023) or a calculation via the Malmquist productivity index (MI) as in Staňková et al (2022) are most often used. Considering the longer time period analyzed, we decided to use the decomposition of the MI in this article.…”
Section: Efficiency Change Over Timementioning
confidence: 99%
“…Pérez León et al [49] proposed an index for measuring tourist destinations in the Caribbean Region, considering 27 indicators in four sub-indexes using DEA and goal programming to build composite indicators and measure the competitiveness of destinations. Flegl et al [50] assessed the hospitality sector in Mexico using the CCR-DEA model with one input (number of rooms per hotel's stars) and three outputs (occupancy rate, tourists arrivals, and related revenue per available room), obtaining high-efficiency results for national tourism and low-efficiency for international tourism and highlighting that the first is located in non-coastal states and the second in coastal states.…”
mentioning
confidence: 99%