Discretionary Expenditure and Tourism Consumption: Insights from a Choice Experiment

Crouch, Geoffrey I.; Oppewal, Harmen; Huybers, Twan; Dolničar, Sara; Louviere, Jordan J.; Devinney, Timothy M.

doi:10.1177/0047287506295912

Cited by 71 publications

(50 citation statements)

References 24 publications

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“…The underlying rationale is that Australian consumers have a strong tendency to trade off their discretionary income for repaying debt, rather than for travel. Crouch et al [7] discovered that most Australian households used 45% of their discretionary income for household debt repayments. Similarly, Dolnicar et al [8] argued that 53% of the survey respondents in Australia preferred allocating their disposable income to paying off debt, while only 16% of the respondents chose to spend on vacations.…”

Section: Household Debtmentioning

confidence: 99%

Investigating other leading indicators influencing Australian domestic tourism demand

Yap

Allen

2011

Mathematics and Computers in Simulation

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In the tourism demand literature, much of the research focuses on income and price variables as demand determinants for travel. Nevertheless, the literature has neglected other possible indicators such as consumers' perceptions of the future course of the economy, household debt and the number of hours worked in paid jobs. In fact, several studies found that these indicators could influence consumers in making decisions to travel. In this paper, we examine whether there are other indicators that can influence future Australian domestic tourism demand. The econometric model used in this study is a panel three-stage least squares (3SLS) model. Using the data on Australian domestic tourism demand, the empirical results reveal several points: first, it is found that the consumer sentiment index has significant impacts on VFR, but not on holiday tourism. Furthermore, the business confidence index has no influence on business tourism demand.The study also finds that an increase in household debt could encourage more Australians to travel domestically, indicating that Australians may consider increasing debt as their confidence to spend increases. Lastly, working hours have a statistically significant effect in the case of holiday tourism data.

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Section: Household Debtmentioning

confidence: 99%

Investigating other leading indicators influencing Australian domestic tourism demand

Yap

Allen

2011

Mathematics and Computers in Simulation

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“…For a recent application, seeCrouch et al (2007).3 In summer, tourists are attracted by its extensive beaches and cheap rates. Every year, from May to September, Rimini hosts an average 1.9 million tourists in terms of arrivals with over 12.7 million overnight stays (Source: Bureau of Statistics of the Province of Rimini).…”

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confidence: 99%

Assessing visitor satisfaction with tourism rejuvenation policies: the case of Rimini, Italy

Brau

Scorcu

Vici

2008

Journal of Environmental Planning and Management

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This paper assesses the appeal of potential interventions on the tourism offer of Rimini, a popular Italian seaside holiday destination, by means of a choice modelling analysis. Tourism can be viewed as a composite good, its overall utility depending on the arrangement of the component characteristics. The discrete choice experiments here incorporate as attributes a number of possible changes to current tourist activities (the subject of public debate), including them in hypothetical alternative holiday packages. The conditional logit analysis indicates that tourists show lesser preference for interventions aimed at protecting the environmental integrity of the beach and greater preference for those, such as the creation of a pedestrianised seafront with late-night opening of amenities and facilities, that are likely to diminish the role of the traditional sea, sun and sand component of the overall holiday experience.tourism demand, stated preferences, urban planning, decision making, choice experiments,

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“…Carson and Groves (2007) have recently examined some of the properties of the payment card. 26 Some of these problems may be overcome by embedding an allocation game in a larger discrete choice experiment (Crouch et al 2007). Allocation game Single allocation game (SAGAME) Allocation games-sequence (AGAME-Seq)…”

Section: Sequential Versions Of Matching Methodsmentioning

confidence: 99%

A Common Nomenclature for Stated Preference Elicitation Approaches

Carson

Louviere

2011

Environ Resource Econ

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219

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It is often difficult to determine what actually was done in work involving data collected with stated preference surveys because the terms used to describe various procedures have ambiguous and sometimes conflicting meanings. Further, terms used to describe data collection procedures often are confounded with terms used to describe statistical techniques. We call for the use of a common nomenclature to describe what was done in a data collection effort for stated preference studies, and take a first step at setting out such nomenclature. We only seek to improve clarity in the communication of research results and take no position here on appropriateness of particular procedures.

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Discretionary Expenditure and Tourism Consumption: Insights from a Choice Experiment

Cited by 71 publications

References 24 publications

Investigating other leading indicators influencing Australian domestic tourism demand

Investigating other leading indicators influencing Australian domestic tourism demand

Assessing visitor satisfaction with tourism rejuvenation policies: the case of Rimini, Italy

A Common Nomenclature for Stated Preference Elicitation Approaches

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