Testing reference dependence, loss aversion and diminishing sensitivity in Spanish tourism

Based on Tversky and Kahneman’s Prospect Theory, we test the existence of reference dependence, loss aversion and diminishing sensitivity in Spanish tourism. To do this, we incorporate the reference-dependent model into a Multinomial Logit Model with Random Parameters -which controls for heterogeneity- and apply it to a sample of vacation choices made by Spaniards. We find that the difference between reference price and actual price is considered to make decisions, confirming that reference dependence exists; that people react more strongly to price increases than to price decreases relative to their reference price, which represents evidence in favor of the loss aversion phenomenon; and that there is diminishing sensitivity for losses only, showing convexity for these negative values.

Identificación de las distintas sensibilidades a los precios turísticos en la Comunidad Valenciana

El papel del precio en el sector turístico es especialmente complejo debido a la heterogeneidad existente entre los turistas y, por tanto, a las distintas sensibilidades al precio que muestran. En este sentido, el presente trabajo propone la utilización de modelos de elección discreta para identificar las sensibilidades individuales, turista a turista, y, a continuación, utilizar dichas estimaciones como punto de partida para detectar grupos de turistas con una respuesta similar a los precios. La aplicación empírica realizada en el contexto de la Comunidad Valenciana permite detectar tres segmentos: turistas de precio bajo, turistas indiferentes al precio y turistas de precio alto.

Tourism competitiveness in the Caribbean

Includes bibliography

An assessment of the economic and social impacts of climate change on the tourism sector in the Caribbean

There are significant, fundamental changes taking place in global air and sea surface temperatures and sea levels. The Fourth Assessment Report of the Intergovernmental Panel on Climate Change noted that many of the warmest years on the instrumental record of global surface temperatures have occurred within the last twelve years, i.e. 1995-2006 (IPCC, 2007). The Caribbean tourism product is particularly vulnerable to climate change. On the demand side, mitigation measures in other countries – for example, measures to reduce the consumption of fossil fuels – could have implications for airfares and cruise prices and, therefore, for the demand for travel, particularly to long-haul destinations such as the Caribbean (Clayton, 2009). On the supply side, sea level rise will cause beaches to disappear and damage coastal resorts. Changes in the frequency and severity of hurricanes are likely to magnify that damage. Other indirect impacts on the tourism product include rising insurance premiums and competition for water resources (Cashman, Cumberbatch, & Moore, 2012). The present report has used information on historic and future Caribbean climate data to calculate that the Caribbean tourism climatic index (TCI) ranges from −20 (impossible) to +100 (ideal). In addition to projections for the Caribbean, the report has produced TCI projections for the New York City area (specifically, Central Park), which have been used as comparators for Caribbean country projections. The conditions in the source market provide a benchmark against which visitors may judge their experience in the tourism destination. The historical and forecasted TCIs for the Caribbean under both the A2 and B2 climate scenarios of the IPCC suggest that climatic conditions in the Caribbean are expected to deteriorate, and are likely to become less conducive to tourism. More specifically, the greatest decline in the TCI is likely to occur during the northern hemisphere summer months from May to September. At the same time, the scenario analysis indicates that home conditions during the traditional tourist season (December – April) are likely to improve, which could make it more attractive for visitors from these markets to consider ‘staycations’ as an alternative to overseas trips.

The impact of climate change on the tourism sector in the Caribbean

The main aim of this study is to estimate the economic impact of climate change on nine countries in the Caribbean basin: Aruba, Barbados, Dominican Republic, Guyana, Jamaica, Montserrat, Netherlands Antilles, Saint Lucia and Trinidad and Tobago. A typical tourism demand function, with tourist arrivals as the dependent variable, is used in the analysis. To establish the baseline, the period under analysis is 1989-2007 and the independent variables are destination country GDP per capita and consumer price index, source country GDP, oil prices to proxy transportation costs between source and destination countries. At this preliminary stage the climate variables are used separately to augment the tourism demand function to establish a relationship, if any, among the variables. Various econometric models (single OLS models for each country, pooled regression, GMM estimation and random effects panel models) were considered in an attempt to find the best way to model the data. The best fit for the data (1989-2007) is the random effects panel data model augmented by both climate variables, i.e. temperature and precipitation. Projections of all variables in the model for the 2008-2100 period were done using forecasting techniques. Projections for the climate variables were undertaken by INSMET. The cost of climate change to the tourism sector was estimated under three scenarios: A2, B2 and BAU (the mid-point of the A2 and B2 scenarios). The estimated costs to tourism for the Caribbean subregion under the three scenarios are all very high and ranges from US$43.9 billion under the B2 scenario to US$46.3 billion under the BAU scenario.

Stochastic choice analysis of tourism destinations

The analysis of tourist destination choice, defined by intra-country administrative units and by product types “coastal/inland and village/city”, permits the characterisation of tourist flow behaviour, which is fundamental for public planning and business management. In this study, we analyse the determinant factors of tourist destination choice, proposing various research hypotheses relative to the impact of destination attributes and the personal characteristics of tourists. The methodology applied estimates Nested and Random Coefficients Multinomial Logit Models, which allow control over possible correlations among different destinations. The empirical application is realised in Spain on a sample of 3,781 individuals and allows us to conclude that prices, distance to the destination and personal motivations are determinants in destination choice.

Tourism in the Mediterranean: Scenarios up to 2030. MEDPRO Report No. 1/July 2011- (updated May 2013)

From 1990 to 2010, the 11 countries of the south-eastern Mediterranean region (Algeria, Egypt, Israel, Jordan, Lebanon, Libya, Morocco, Occupied Palestinian Territory, Syria, Tunisia and Turkey, hereafter SMCs) recorded the highest growth rates in inbound world tourism. In the same period, domestic tourism in these countries also increased rapidly, which is astonishing given the security risks, natural disasters, oil prices rises and economic uncertainties in the region. Even the 2008 financial crisis had no severe impact on this growth, confirming the resilience of tourism and the huge potential of the SMCs in this sector. The Arab Spring brought this trend to an abrupt halt in early 2011, but it may resume after 2014 with the gradual democratisation process, despite the economic slowdown of the European Union – its main market. This paper looks at whether this trend will continue up to 2030, and provides four different possible scenarios for the development of the tourism sector in SMCs for 2030: i) reference scenario, ii) common (cooperation) sustainable development scenario, iii) polarised (regional) development scenario and iv) failed development – decline and conflict – scenario. In all cases, international and domestic tourist arrivals will increase. However, three main factors will strongly influence the development of the tourism sector in the SMCs: security, competitiveness linked to the efficient use of ICT, and adjustment to climate change.

An econometric analysis of international tourism demand in Hong Kong : a cointegration and error correction approach

The purpose of this study is to develop econometric models to better understand the economic factors affecting inbound tourist flows from each of six origin countries that contribute to Hong Kong’s international tourism demand. To this end, we test alternative cointegration and error correction approaches to examine the economic determinants of tourist flows to Hong Kong, and to produce accurate econometric forecasts of inbound tourism demand. Our empirical findings show that permanent income is the most significant determinant of tourism demand in all models. The variables of own price, weighted substitute prices, trade volume, the share price index (as an indicator of changes in wealth in origin countries), and a dummy variable representing the Beijing incident (1989) are also found to be important determinants for some origin countries. The average long-run income and own price elasticity was measured at 2.66 and – 1.02, respectively. It was hypothesised that permanent income is a better explanatory variable of long-haul tourism demand than current income. A novel approach (grid search process) has been used to empirically derive the weights to be attached to the lagged income variable for estimating permanent income. The results indicate that permanent income, estimated with empirically determined relatively small weighting factors, was capable of producing better results than the current income variable in explaining long-haul tourism demand. This finding suggests that the use of current income in previous empirical tourism demand studies may have produced inaccurate results. The share price index, as a measure of wealth, was also found to be significant in two models. Studies of tourism demand rarely include wealth as an explanatory forecasting long-haul tourism demand. However, finding a satisfactory proxy for wealth common to different countries is problematic. This study indicates with the ECM (Error Correction Models) based on the Engle-Granger (1987) approach produce more accurate forecasts than ECM based on Pesaran and Shin (1998) and Johansen (1988, 1991, 1995) approaches for all of the long-haul markets and Japan. Overall, ECM produce better forecasts than the OLS, ARIMA and NAÏVE models, indicating the superiority of the application of a cointegration approach for tourism demand forecasting. The results show that permanent income is the most important explanatory variable for tourism demand from all countries but there are substantial variations between countries with the long-run elasticity ranging between 1.1 for the U.S. and 5.3 for U.K. Price is the next most important variable with the long-run elasticities ranging between -0.8 for Japan and -1.3 for Germany and short-run elasticities ranging between – 0.14 for Germany and -0.7 for Taiwan. The fastest growing market is Mainland China. The findings have implications for policies and strategies on investment, marketing promotion and pricing.

Intra-regional Tourism and Challenges Facing Hong Kong's Hotel Industry

Asia is experiencing a rapid growth in intra-Asian tourism, and is finding that the spending priorities of these new visitor markets is quite different from traditional markets. Not only have Hong Kong's markets changed, but the economic operational environment is becoming increasingly difficult as a result of the change in sovereignty in 1997, increasing land prices, and new regulations. The current structure of the hotel industry is out of balance with the demands of these new markets. Hong Kong now needs to consider some intervention in the hotel industry to further encourage the development of properties in this mid-market.

Australian waterfalls as tourism attractions

For a largely arid country with generally low relief, Australia has a remarkably large number and variety of waterfalls. Found mainly near the coast, close to where most of the population lives and near the major tourist resort areas, these landscape features have long been popular scenic attractions. As sights to see and places to enjoy a variety of recreational activities, waterfalls continue to play an important role in Australia’s tourism, even in seaside resort areas where the main attractions are sunshine, sandy beaches and surf. The aesthetic appeal of waterfalls and their value as recreational resources are recognized by the inclusion of many in national parks. Even here, demands of visitors and pressures from developers raise serious problems. This paper examines the way in which waterfalls have been developed and promoted as tourist attractions, demonstrating their importance to Australian tourism. It considers threats to the sustainable use of waterfall resources posed by power schemes and, particularly, by the tourist industry itself. Queensland’s Gold Coast is selected as a case study, and comparisons are made with other areas in which waterfalls have played important roles as tourist attractions, especially the Yorkshire coast of northeast England. The discussion draws largely on an examination of tourist literature from the nineteenth to the twenty-first century, including holiday brochures and guide books, as well as other published sources, together with field observation in various parts of the world

Destination Positioning Slogans - Analysis of Themes used by New Zealand Regional Tourism Organisations

A significant gap in the tourism and travel literature exists in the area of tourism destination branding. Although brands have been used as sources of differentiation in consumer goods markets for over a century, academic research attention towards destination branding has only been reported since the late 1990s. Three important components of the brand construct are brand identity, brand position and brand image. While interest in applications of brand theory to practise in tourism is increasing, there is a paucity of published research in the literature to guide destination marketing organisations (DMOs). In particular there have been few reported analyses of destination brand positioning slogans. The focus of this paper is on destination brand position slogans, which represent the interface between brand identity and brand image. Part of a wider investigation of DMO slogans worldwide, and in keeping with the conference location, the paper focuses on analysis of slogans used by New Zealand RTOs. The slogans are examined in terms of the extent to which they have been limited to ephemeral indifference. In other words, have they stood the test of time and do they effectively differentiate through a meaningful proposition? Analysis of the slogans indicates very few could be characterised as memorably distinctive. This reflects the complexity involved in capturing the essence of a multi-attributed destination in a succinct and focused positioning slogan, in a way that is both meaningful to the target audience and effectively differentiates the destination from competitors offering the same benefits.

Tourism Destination Preferences: A Longitudinal Analysis of Consumer Decision Sets

There have only been a small number of applications of consumer decision set theory to holiday destination choice, and these studies have tended to rely on a single cross sectional snapshot of research participants’ stated preferences. Very little has been reported on the relationship between stated destination preferences and actual travel, or changes in decision set composition over time. The paper presents a rare longitudinal examination of destination decision sets, in the context of short break holidays by car in Queensland, Australia. Two questionnaires were administered, three months apart. The first identified destination preferences while the second examined actual travel and revisited destination preferences. In relation to the conference theme, there was very little change in consumer preferences towards the competitive set of destinations over the three month period. A key implication for the destination of interest, which, in an attempt to change market perceptions, launched a new brand campaign during the period of the project, is that a long term investment in a consistent brand message will be required to change market perceptions. The results go some way to support the proposition that the positioning of a destination into a consumer’s decision set represents a source of competitive advantage.