Modeling Tourist Flows to Indonesia and Malaysia

Summary

The purpose of this study was to examine the major factors that influence the flow patterns of tourists from six important tourist-generating countries to Indonesia and Malaysia. The primary determinants included in the demand models were income, prices, and time trend. Two models that employed different indicators for the price variable were estimated; one with exchange rates in addition to relative prices, whereas the other included only an exchange rate adjusted-relative price variable. Annual time-series data covering the period 1980 to 1997 were used for estimation. The results generally indicated that the factors provide reasonably good explanations for the demand for Indonesian and Malaysian tourism. The measure of thejoint effect of the changes in exchange rates and relative prices also seems to be a better indicator for the price variable for both destination countries. The study has important marketing implications for the tourism industries in Indonesia and Malaysia.     

The determinants of Chinese visitors to Australia: A dynamic demand analysis

Although China has progressively become an important inbound tourism market for Australia, its demand elasticities have been little studied to date. This study examines the determinants of Chinese visitors to Australia using a dynamic time-series estimator. Interesting findings include a high income elasticity as a source of the continuous doubledigit growth rates in Chinese arrivals that Australia has experienced over the past two decades, together with relatively high total trip price elasticities for both short run and long run. A trend of Chinese outbound to Australia is also identified. From a policy perspective, the results confirm that keeping a low cost of visiting Australia, both ground and travel costs, is a good strategy to secure greater numbers of Chinese tourists.     

Demand elasticity estimates for New Zealand tourism

Demand elasticities for New Zealand tourism are estimated for 16 different international visitor segments. Segments are differentiated by origin, purpose of visit, and travel style. Elasticities for both international visitor arrivals and on-the-ground expenditure per arrival are estimated for each segment using time-series data. In general, on-the-ground consumption per arrival is more price sensitive than number of arrivals, and Asian market segments are found to be more price sensitive, both in terms of arrivals and on-the-ground expenditure, compared to international visitors from other regions. An application of the results is presented giving the total effect of exchange rate changes on expenditure by international visitors in New Zealand, and management implications are discussed.     

Modelling Australian domestic and international inbound travel: a spatial–temporal approach

In this paper Australian domestic and international inbound travel are modelled by an anisotropic dynamic spatial lag panel Origin-Destination (OD) travel flow model. Spatial OD travel flow models have traditionally been applied in a single cross-sectional context, where the spatial structure is assumed to have reached its long run equilibrium and temporal dynamics are not explicitly considered. On the other hand, spatial effects are rarely accounted for in traditional tourism demand modelling. We attempt to address this dichotomy between spatial modelling and time series modelling in tourism research by using a spatial-temporal model. In particular, tourism behaviour is modelled as travel flows between regions. Temporal dependencies are accounted for via the inclusion of autoregressive components, while spatial autocorrelations are explicitly accounted for at both the origin and the destination. We allow the strength of spatial autocorrelation to exhibit seasonal variations, and we allow for the possibility of asymmetry between capital-city neighbours and non-capital-city neighbours. Significant temporal and spatial dynamics have been uncovered for both domestic and international tourism demand. For example we find strong seasonal temporal autocorrelations, significant trends and significant spatial autocorrelations at both the origin and the destination. Moreover, the spatial patterns are found to be most significant during peak holiday seasons. Understanding these patterns in tourist behaviour has important implications for tourism operators.     

The impact of changes in household vacation expenditures on the travel and hospitality industries

Two large tourism industries, travel and hospitality, are strongly affected by changes in household demand for vacations. In recent years, rising income and declining prices per unit of quality have led to changes in patterns of household vacation consumption. To understand the impact of these changes on the travel and hospitality industries, we develop a theoretical model distinguishing between travel and on-site expenditures and apply it to Israeli data. We find that under certain circumstances, the changes in income and prices are responsible for a shift toward multiple, short vacations. This trend can be a boon to the travel industry but a disadvantage for the hospitality industry. Both industries are expected to face a rise in the demand for high-quality products.     

Impact of financial/economic crisis on demand for hotel rooms in Hong Kong

The main objectives of this study are (1) to identify the factors that influence the demand for hotel rooms in Hong Kong and (2) to generate quarterly forecasts of that demand to assess the impact of the ongoing financial/economic crisis. The demand for four types of hotel room from the residents of nine major origin countries is considered, and forecasts are generated from the first quarter of 2009 to the fourth quarter of 2015. Econometric approaches are employed to calculate the demand elasticities and their corresponding confidence intervals, which are then used to generate interval demand predictions. The empirical results reveal that the most important factors in determining the demand for hotel rooms in Hong Kong are the economic conditions (measured by income level) in the origin markets, the price of the hotel rooms and the ‘word of mouth’ effect. Demand for High Tariff A and Medium Tariff hotel rooms is estimated to have experienced negative annual growth in 2009 due to the influence of the financial/economic crisis, whereas that for High Tariff B hotel rooms is thought to have grown in 2009 after having decreased in 2008. The demand for tourist guesthouse rooms is expected to be the least affected by the crisis. Overall demand is predicted to recover gradually from 2010 onwards.     

上海市入境旅游市场影响因素分析与预测——以德国、法国、英国、美国与泰国客源国为例

入境旅游是衡量一个国家知名度、影响力和旅游发展水平的主要因素,也是赚取外汇和旅游收入的重要路径。上海是外国游客入境重要的目的地,也是中国最大的入境游客中转站。文章分析了德国、法国、英国、美国、泰国五个上海主要入境旅游客源国2004年第一季度至2018年第三季度的数据,运用计量经济学方法建模,并实证分析了上海入境旅游需求的影响因素。研究表明,口碑效应、客源地的收入水平与上海入境旅游需求正相关;上海入境旅游具有较大的季节波动特点,冬夏两季入境游客数量减少;世博会对上海入境旅游拉动作用较大。同时,对德国、法国、泰国三大市场未来十年的旅游季度需求进行了预测,预测发现,德国、法国、泰国三大市场未来十年都有较大增长,特别是泰国市场的年均增长率达到4%。     

The length of stay of golf tourism: A survival analysis

This study analyses the length of stay of golf tourists in the Algarve, on the southern coast of Portugal. The analysis employs a questionnaire to ascertain the significant characteristics influencing the length of stay of golf tourists. A survival model is used to analyse which characteristics are associated with the length of stay, taking into account the uncontrolled heterogeneity of the data. Robustness tests are implemented and policy implications are derived for improving the understanding and management of the length of stay of heterogeneous tourists.     

Price competitiveness of tourism packages to Australia: Beyond the “Big Mac” index

One issue facing any country or region concerns its price competitiveness as a package tour destination. One method of measuring this is to use what in other contexts has been referred to as the Big Mac approach. The “Big Mac” is a simple product with ingredients in fixed proportions, whereas the tourism product is a very complex one comprising different components depending on tourist expenditure patterns. There is no equivalent tourism product offered across countries, as the nature of the product is tailored to the origin market, expenditure levels and the length of the trip involved. The key issue is that of how to standardize the products being compared, so as to determine their relative price competitiveness. A method of constructing price competitiveness indexes, developed by the authors, can be applied to develop measures of the price competitiveness of different tour packages. This paper has three aims: To set down the essence of the preferred approach to measuring price competitiveness, noting its advantages and limitations; to employ this approach to construct price competitiveness indexes for package tours to Australia from Japan and the USA; and to indicate areas for farther research into the price competitiveness of package tourism worldwide.