Seasonal concentration of the hotel demand in Costa del Sol: A decomposition by nationalities

Morales, Antonio; Mayorga-Toledano, María Cruz

doi:10.1016/j.tourman.2007.11.003

Cited by 93 publications

(60 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Although methods have been developed to decompose the Gini index, they remain debatable (Fernandez-Morales, 2003;Fernandez-Morales and Mayorga-Toledano, 2008). Having reached this point, Shorrocks (1982) stated that a valid rule generally applicable to all inequality indices, given the acceptance of certain assumptions, is the natural decomposition of the variance.…”

Section: Methodsmentioning

confidence: 99%

“…So far this type of decomposition by sources have been used by Duro (2016), Fernandez-Morales (2003 and Fernandez-Morales and Mayorga-Toledano (2008). In the first two cases an additive decomposition by markets was used but referred to Gini.…”

Section: Methodsmentioning

confidence: 99%

“…On a methodological level, the measurement of seasonality used follows the line of previous studies, based on summary indices and taking months as basic seasonal units (Duro, 2016;Fernandez-Morales, 2003;Fernandez-Morales and Mayorga-Toledano, 2008;Lundtorp, 2001;Martín Martín et al, 2014;Rosselló, Riera and Sansó, 2004;Tsitouras, 2004;Wanhill, 1980). But, in particular, given its methodological characteristics, we are going to focus on the use of the Coefficient of Variation instead of using the Gini Coefficient, which has been the usual practice in the literature thus far.…”

mentioning

confidence: 99%

“…To be specific, this role will depend on the specific seasonality (monthly concentration) and weight of the market in question in relation to overall demand. In this sense, there are few empirical applications in terms of additive decompositions in the literature and in most cases they are referred to the Gini coefficient (Fernandez-Morales, 2003;Fernandez-Morales and Mayorga-Toledano, 2008).…”

mentioning

confidence: 99%

See 3 more Smart Citations

Tourist seasonality and the role of markets

Turrión‐Prats

Duro

2018

Journal of Destination Marketing & Management

View full text Add to dashboard Cite

This paper performs an analysis of tourism seasonality in Spain, typically from a market-side perspective. Three exercises are performed; firstly, seasonality is analysed through monthly concentration indexes and, in particular, the CV; secondly, the role of markets is explored based on an additive decomposition technique; thirdly, its main economic determinants are assessed through a dynamic panel data model. The main results obtained can be summed up in: first, seasonality in Spain has clearly worsened since 2008, coinciding with a strong growth in overall demand; second, three markets generate two thirds of global seasonality, with the pattern of the UK market of particular concern; third, aggregate demand models suggest that prices, exchange rates and especially income levels are significant explanatory factors.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Tourist seasonality and the role of markets

Turrión‐Prats

Duro

2018

Journal of Destination Marketing & Management

View full text Add to dashboard Cite

show abstract

“…Optimal decisions for a hotel will be affected by various factors, such as seasons, weathers, or even social activities [8,57], however, this model can be applied for various hotels with diverse capacities by assuming a fixed demand function.…”

Section: Overbooking and Expected Profitsmentioning

confidence: 99%

Hotel Overbooking and Cooperation with Third-Party Websites

Dong

Ling

2015

Sustainability

View full text Add to dashboard Cite

Hotels cooperate with third-party websites to enhance their competitive position and attain sustainable development in the era of e-commerce. Furthermore, hotel managers overbook to hedge against last-minute cancellations and customer no-shows. This paper discusses pricing and overbooking strategies of a hotel in the context of cooperation with multiple third-party websites and analyzes how these strategies influence the cooperation process. The increase in profits resulting from the overbooking strategy is also examined. A model of a Stackelberg game between the hotel and third-party websites and a Nash game among the third-party websites are developed to analyze the process. Results indicate that the compensation coefficient has a slight influence on hotel pricing strategy, but causes a sharp decrease in overbooking level. As the hotel demands to lessen the probability of denying under higher compensation rate, the third-party websites would exert less sales effort to reduce the demand of online customers. Results also show that under a given market demand, hotel effort only serves to redistribute market shares among the hotel and third-party websites, without influencing hotel pricing and overbooking decisions. Specifically, the market shares of the third-party websites decrease in the effort level of the hotel resulting from an increase in the hotel market share. Finally, in the numerical example where one hotel and two websites are analyzed, hotel overbooking strategy improves hotel profit by 4.20%, whereas profit improvements for Websites 1 and 2 are as high as 5.26% and 5.21%, respectively. Managerial implications of the study are also provided.

show abstract

Seasonality determinants for the main markets in Spain

Turrión‐Prats

Duro

2019

Journal of Tourism Research

View full text Add to dashboard Cite

Seasonality has become a key problem facing the tourist sector, constituting a major threat to sustainable growth, destination image, and loyalty, especially in regard to large-scale, well-established destinations. A dynamic model, combining natural and non-natural explanatory variables, is used for a provincial panel data set over the 2006-2015 period to identify determinants of seasonality for Spain's main markets of origin. We show that the inertia factor, economic variables, and climatic variables are significant. Some of the most interesting results are the identification of common patterns across the main markets of origin. Considering, for example, high temperatures in the low season, our results show that, if they occur in the destination market, they reduce seasonality; in contrast, if they occur in the markets of origin, they increase seasonality.

show abstract

Seasonal concentration of the hotel demand in Costa del Sol: A decomposition by nationalities

Cited by 93 publications

References 24 publications

Tourist seasonality and the role of markets

Tourist seasonality and the role of markets

Hotel Overbooking and Cooperation with Third-Party Websites

Seasonality determinants for the main markets in Spain

Contact Info

Product

Resources

About