1992
DOI: 10.1016/0160-7383(92)90061-s
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Family expenditure on hotels and holidays

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Cited by 93 publications
(69 citation statements)
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“…In particular, high-income tourists spend 50% more than low-income visitors, whereas this difference is only 17% when we compare middle-and low-income tourists. This result is in accordance with literature and it has already been found by Lee et al (1996), Jang et al (2004), Fish and Waggle (1996), Agarwal and Yochum (1999) and Davies and Mangan (1992), among others.…”
Section: Tourist Characteristicssupporting
confidence: 94%
“…In particular, high-income tourists spend 50% more than low-income visitors, whereas this difference is only 17% when we compare middle-and low-income tourists. This result is in accordance with literature and it has already been found by Lee et al (1996), Jang et al (2004), Fish and Waggle (1996), Agarwal and Yochum (1999) and Davies and Mangan (1992), among others.…”
Section: Tourist Characteristicssupporting
confidence: 94%
“…This information tells us about tourist profiles, their destination experiences, and their expectations [5,6]. Davis and Mangan (1992) [7] suppose that LoS determines what activities a tourist engages in and their economic impact on the host community. Therefore, LoS can be considered predictive of tourist spending [7][8][9].…”
Section: Length Of Staymentioning
confidence: 99%
“…Davis and Mangan (1992) [7] suppose that LoS determines what activities a tourist engages in and their economic impact on the host community. Therefore, LoS can be considered predictive of tourist spending [7][8][9]. Additionally, Butter (1975) [10] identified five tourist-related factors that influence tourist interactions with local residents; including the number of visitors, LoS, ethnic characteristics, economic and socio-cultural characteristics, and activities undertaken during their stay.…”
Section: Length Of Staymentioning
confidence: 99%
“…In fact, and as Davies and Mangan (1992) and Kozak (2004), among others, argue, an increased length of stay may allow tourists to undertake a larger number of experiences or activities that may affect their overall spending and sense of affiliation. Hence, several authors consider length of stay an important market segmentation variable in estimating the determinants of tourist spending (Davies & Mangan, 1992;Legoherel, 1998;Mok & Iverson, 2000). Second, modeling length of stay is important to tourism sustainability analysis (Saarinen, 2006).…”
Section: Determinants Of Length Of Stay: a Parametric Survival Analysismentioning
confidence: 99%
“…The number of days that tourists stay at a particular destination is likely to influence their expenditure, for instance, as the number of possible experiences to be undertaken by tourists depends on their length of stay (Davies & Mangan, 1992;Kozak, 2004;Legoherel, 1998). Understanding the determinants of length of stay is, thus, important to fully characterize tourism demand and its impact on a given tourist destination (Gokovali, Bahar, & Kozak, 2007).…”
Section: Introductionmentioning
confidence: 99%