Abstract:Seasonality in the tourism sector has been a major concern for policy makers, managers and other stakeholders. Many studies have analysed seasonality from the point of view of the number of visitors. However, there appear to be no studies focusing on seasonality in prices and on how to smooth out seasonal patterns. This paper analyses how hotel characteristics affect seasonality in prices using brochure data on 1,776 hotels in 32 sun-and-beach destinations in 11 countries. The authors find that, after controll… Show more
“…Some of them are focused on breaking down the seasonal factors that constitute the time series, i.e., [1,44,45,46,47,48]. Other papers prefer to develop predictions or modeling [49,50,51,52,53,54,55,56,57,58].…”
The concentration of tourists at certain times of the year can damage sensitive environments. The use of peer-to-peer vacation rental websites has increased greatly during the last decade. This system could either reduce seasonality in touristic destinations where the tourist activity takes place throughout the year at a lower price or on the contrary, it could increase the number of visitors at certain times of the year even more. This paper intends to analyze the effect that these platforms have on tourism seasonality in order to calculate if they help reduce or increase the pressure on the destinations. To do so, the Gini Index has been applied to one of the main touristic spots in Europe, the Balearic Islands in Spain. The conclusion is that this type of accommodation has aggravated the problem, generating a greater concentration of tourists and a higher pressure on the resources of the islands.
“…Some of them are focused on breaking down the seasonal factors that constitute the time series, i.e., [1,44,45,46,47,48]. Other papers prefer to develop predictions or modeling [49,50,51,52,53,54,55,56,57,58].…”
The concentration of tourists at certain times of the year can damage sensitive environments. The use of peer-to-peer vacation rental websites has increased greatly during the last decade. This system could either reduce seasonality in touristic destinations where the tourist activity takes place throughout the year at a lower price or on the contrary, it could increase the number of visitors at certain times of the year even more. This paper intends to analyze the effect that these platforms have on tourism seasonality in order to calculate if they help reduce or increase the pressure on the destinations. To do so, the Gini Index has been applied to one of the main touristic spots in Europe, the Balearic Islands in Spain. The conclusion is that this type of accommodation has aggravated the problem, generating a greater concentration of tourists and a higher pressure on the resources of the islands.
“…Koenig-Lewis and Bischoff (2005) present a comprehensive review of the research on seasonality and its causes. Further exemplary reviews have outlined the main causes and consequences, debates and issues in seasonality research (Baum & Lundtorp, 2001;Boffa & Succurro, 2012;Butler & Mao, 1997;Cannas, 2012;Espinet, Fluvia, & Rigall-I-Torrent, 2012;Getz & Nilsson, 2004;Jang, 2004;Kulendran & Wong, 2005). Coshall et al (2015) categorized studies on seasonality according to whether they investigated the types and causes of seasonality, their impacts and policy implications, or the range of public and private sector interventions that have been made in attempting to mitigate seasonality.…”
Section: Seasonality In the Tourism Industrymentioning
confidence: 99%
“…A range of marketing strategies have been identified in the literature. Seasonal price variation and the diversification of both the visitor attractions and tourism products are common approaches (Espinet et al, 2012;Jang, 2004). Although lower prices in the low season may still yield higher profits by increasing demand, they may reduce a destination's perceived quality (Espinet et al, 2012).…”
This paper analyzes seasonality in the United Kingdom, specifically the English regions in relation to tourists' place of origin and main travel motivation. The method used is a decomposition of the Gini index, which provides relative marginal effects that facilitate the identification of market segments open to counter-seasonal marketing efforts. This method has been combined with a graphical multivariate technique (biplot), which groups segments according to their seasonality characteristics. Seasonal patterns associated with particular segments differ significantly when studied on a disaggregated basis. Therefore, an adequate level of disaggregation is essential in the design of counter-seasonal strategies. Although this study focuses on British destinations, this methodology could be used as a control and monitoring measure in the regional analysis of any destination, facilitating regular adjustment of regional tourism marketing campaigns to minimize seasonality effects, specifically by targeting the types of tourists less prone to seasonality.
“…The most common approach for measuring seasonality is to estimate seasonal factors in time series using deviations proportional to moving averages by means of dummy variables in multi-linear regressions, or other methods based on data series. There are several works based on this approach [17,49,52,[64][65][66][67]. Seasonality is also a key element in tourism forecasting and modeling, which can be considered as a deterministic or stochastic component in a series of analyses [68].…”
Section: Alternatives and Measurement Proposalmentioning
Tourism has established itself as an instrument that supports the sustainable development of rural destinations and has both, negative and positive effects. The annual instability of the flow of visitors, known as tourist seasonality, contributes to the intensification of some of these negative effects. In this work, we perform an analysis on the evolution of the seasonality intensity during the process of consolidation of the Spanish rural destinations, designed to improve the knowledge about the tourist activity's capacity to generate a sustainable development alternative steady throughout the year. To guarantee an accurate measurement, we propose the use of a synthetic indicator as a methodological innovation, such as the Method of Distance Pena DP2, that brings together the supply and demand variables. We can observe that tourist seasonality is restrained in smaller destinations that experience a growth in terms of tourists' arrivals, so it is associated with the early stages of the consolidation process. However, the destinations with a lower seasonality level do not match with those that welcome a larger number of visitors. Those destinations with the potential to obtain more benefits because of their level of consolidation do not have the necessary annual stability to provide employment and income in a steady way throughout the year.
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