The length of stay in the demand for tourism.

By Joaquín Alegre, L. Pou. 2006

289 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a6ff6a919c98d59daf89daee412c00b6a38dac83

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Citations in the corpus

Tourism demand for Italy and the business cycle (2010, background): “The choice between arrivals and stays data to explore the aggregate impact of the business cycle on tourism demand is a complex one and the literature is mixed in this respect (see Alegre & Pou, 2006).”
Tourism in the Balearic Islands: A dynamic model for international demand using panel data (2007, background): “(3)Alegre and Pou (2005), by examining the microeconomic determinants of the length of stay, conclude that not only changes in prices, but also the socio-demographic characteristics of the tourists, influence the length of stay. The study by Roselló, Riera, and Sansó (2004) tends to support the idea”
A literature review on the tourism-led-growth hypothesis (2010, unknown): “A much less used indicator is tourism length of stay (e.g. Alegre and Pou, 2006; Gokovali et al., 10 2007; Barros et al., 2010) that is highly correlated with tourism expenditure (Downward and Lumsdon, 2003), though the relationship may be non-linear (Thrane and Farstad, 2010).”
Global trends in length of stay: implications for destination management and climate change (2018, background): “…& Crouch, 2006; Machado, 2010; Peypoch, Randriamboarison, Rasoamananjara, & Solonandrasana, 2012; Wang, Rompf, Severt, & Peerapatdit, 2006), though higher daily expenditures have also been found to coincide with shorter stays (Alegre et al., 2011; Alegre & Pou, 2006; Thrane & Farstad, 2011, 2012).”
Length of stay for low-cost tourism (2008, methodology): “Recently, Alegre and Pou (2007), Gokovali, Bahar, and Kozak (2007), and Fleischer and Pizam (2002) have addressed this question using econometric models, which offer better information than merely descriptive analysis on the direction of the effect and the significance of diverse explanatory variabl”
Demand elasticity estimates for New Zealand tourism (2011, background): “While arrivals and expenditure are important variables, there are other aspects that could also usefully be modelled, such as changes in consumption patterns or length of stay (Alegre & Pou, 2006).”