2007
DOI: 10.1016/j.tourman.2006.09.024
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Tourism in the Balearic Islands: A dynamic model for international demand using panel data

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Cited by 171 publications
(111 citation statements)
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“…This is because this variable is the most closely related to visitor spending (Downward & Lumsdon, 2000;GarínMu~noz, 2007;Garín-Mu~noz, Luís, & Montero, 2007) and the choice of activities by nature-based tourists (Mehmetoglu, 2007). Therefore, rural stays may also reflect the preference of visitors for the different types of existing activities and facilities in a particular rural destination and their spending behaviours.…”
Section: Introductionmentioning
confidence: 99%
“…This is because this variable is the most closely related to visitor spending (Downward & Lumsdon, 2000;GarínMu~noz, 2007;Garín-Mu~noz, Luís, & Montero, 2007) and the choice of activities by nature-based tourists (Mehmetoglu, 2007). Therefore, rural stays may also reflect the preference of visitors for the different types of existing activities and facilities in a particular rural destination and their spending behaviours.…”
Section: Introductionmentioning
confidence: 99%
“…a 1.44% decrease in number of tourists of the year 2000 (Aguiló et al 2005). However, a later study using panel data until 2003 to analyze tourism demand to the Balearic Islands, did not find a significant effect of the ecotax on the number of arrivals (Garín-Muñoz and Montero-Martín, 2007). Other studies analyzing the impact of the 5% Hawaii hotel room tax (which generated in $82 million of revenue in 1990, making it the third largest source of state revenue) did not find a statistically significant impact on visitors (Bonham and Gangnes, 1996).…”
Section: Discussion Of Resultsmentioning
confidence: 91%
“…Garín-Muñoz, 2006Garín-Muñoz and Montero-Martín, 2007;Garín-Muñoz and Pérez-Amaral, 2000;Kuo et al, 2009;Ledesma-Rodríguez et al, 2001;Li et al, 2017). One of the main advantages of panel data models when pooling the data across entities is the augmented number of observations compared to pure time-series or cross-sectional estimation, while fewer coefficients need to be estimated.…”
Section: Models Used In Tourism Demand Analysis and Forecastingmentioning
confidence: 99%