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1.
This paper examines the influence of network airline bankruptcy (and consequently its market exit) on prices and route frequencies. Specifically, the 2011 case of Spanair is analyzed, using Spanish route data for the period 2006–2013. The study finds that the Spanair bankruptcy led to a reduction in prices on those routes where its services were replaced by low-cost airlines. On the other hand, there was no evidence of any clear reduction in flight frequencies. Given that tourist passengers are particularly sensitive to prices, this paper provide evidence about the positive impact of low-cost airlines on tourism.  相似文献   

2.
    
Notwithstanding the systematic inclusion of an exchange rate variable of some form in studies examining international tourism flows, hardly any research has been carried out to test for a possible exchange rate regime effect. Drawing from recent advances in exchange rate regime classifications, this paper begins to fill this gap by investigating the impact of exchange rate regimes on international tourism flows. The study employs a system generalized methods of moments (SYS-GMM) estimation for tourist arrivals on a panel of 27 Organization for Economic Co-operation and Development (OECD) and non OECD countries for the period 1980–2011. The results identify multiple exchange rate regime effects and support the importance of maintaining a relatively stable exchange rate to attract international tourist arrivals.  相似文献   

3.
    
Research on modeling the estimation and forecasting of tourism demand has evolved with increasing sophistication and improved quality. In this study, 155 research papers published between 1995 and 2009 were identified and were classified into three main groups according to the methods and techniques adopted—an econometric-based approach, time series techniques, and artificial intelligence (AI)-based methods. It appears that the more advanced methods such as cointegration, error correction model, time varying parameter model, and their combinations with systems of equations produce better results in terms of forecasting accuracy. We also discuss the implications and suggest future directions of tourism research techniques and methods.  相似文献   

4.
    
Tourism receipts and expenditure are considered to be causally related to economic growth. The present study investigates the causal relationship between tourism receipts and tourism expenditure to economic growth for a panel of the South Asian Association for Regional Cooperation (SAARC) countries over a 20-year period (1995–2014). The present study used panel Granger causality tests and panel fully modified ordinary least squares to test the presence and magnitude of the causality. Results indicated a bidirectional causal linkage between growth and tourism expenditure only, while tourism receipts were found to influence growth. Tourism expenditure was found to have a negative effect on growth.  相似文献   

5.
    
We propose the use of a tool recently introduced by Gayer (2010), known as the “economic climate tracer”, to analyze and monitor the cyclical evolution of tourism source markets to Portugal. Considering the period 1987–2015, we evaluate how tourism to Portugal has been affected by economic cycles. This tool is useful as it clearly illustrates the evolutionary patterns of different markets, and allows us to identify close relationships with economic fluctuations. We found that German tourism plays a leading role, since its movements are followed with delays by tourism flows from other countries, and exhibits higher resilience to shocks. Also, domestic and Spanish tourism have both displayed less irregular behaviors than tourism from other source markets. On the contrary, tourism from the Netherlands and the UK, have displayed irregular patterns, which demonstrates the urgency to diversify tourism source markets to reduce the country's vulnerability to external shocks and economic cycles.  相似文献   

6.
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.  相似文献   

7.
The objective of this study is to investigate tourism demand for Singapore using heterogeneous dynamic panel estimation methods. A binary variable representing the operation of Integrated Resorts (IRs), as well as income and real exchange rate, are included as determinants of tourism demand growth. Using seasonally adjusted and actual/raw quarterly data of 16 origin countries, our study shows that the pooled mran group (PMG) estimator is able to provide consistent and efficient estimates of long-run relationships between tourism demand and the determinants. The PMG results show that the long-run income (price) elasticity is positively (negatively) significant, with an elasticities range between 0.915 and 3.05 (?0.275 and ?0.34). In addition, the study reveals that the IRs contribute to tourism demand growth, especially in attracting tourists from Asia. In the long term, tourism demand by the Asian markets is less income-sensitive than that of the non-Asian counterparts.  相似文献   

8.
Tourism is one of the more important sectors for the economy of Galicia (northwest of Spain). The aim of our study is to quantify determinants of Galician domestic tourism demand and their impacts. Additionally, confidence intervals for these impacts are calculated by bootstrapping data. The results show that income, Eastern vacations and the celebration of the Holy Year of the Apostle Saint James have had a relevant positive impact on tourism. There is also a significant positive connection between a meteorological phenomenon, the North Atlantic Oscillation (NAO), and tourism demand. On the other hand, the differential rates of inflation between Galicia and the rest of Spain and the 2008 economic crisis have had a negative effect.  相似文献   

9.
As international tourism is generally considered a luxury good, models to date have shared an understanding that demand is dependent on discretionary income. However, consumption theories predict that a shift in demand can be induced without changes in actual earnings when expectations for future income are adjusted. This presumes demand for international tourism can be influenced by “wealth effects” from real estate and financial assets. This study tested for the wealth effect on Korean outbound travelers during the 20 years between 1989 and 2009. Korea is a unique place to examine in that Korean households possess housing assets and financial assets that are traded actively in markets. The results of this study favored the possibility of a significant wealth effect from housing on outbound travel demand, but not from financial assets. This may be explained by data sensitivity and the relative importance of financial assets in the Korean people's wealth portfolios. Implications and suggestions for future research are provided along with the findings of the study.  相似文献   

10.
SUMMARY

This paper will use a range of tourism data and a case study to examine the rates of recovery of ten source markets for the Maldives in the wake of the 2004 Indian Ocean tsunami. The market response and recovery rates for these ten markets varied significantly and the reasons for this will be explored. It is evident that a 'one size fits all' marketing strategy will not in itself be sufficient to achieve acceptable rates of recovery following a disaster. The strategies, opportunities and rates of market recovery experienced in the Maldives will provide useful insights for the marketing and monitoring of other destinations that have experienced a crisis or disaster.  相似文献   

11.
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.  相似文献   

12.
13.
    
Using spatial panel data comprising a cross section of 1,461 continuously active Airbnb listings obtained from AirDNA, as well as time series data from NYC and Company and the OECD covering the time period September 2014 to June 2016, the present study quantifies own price, cross price, and income elasticities of Airbnb demand to New York City within an empirical tourism demand framework. The particular goal of the study is to establish whether the relationship between Airbnb and the traditional accommodation industry is of a substitutional or of a complementary nature. Employing a one-way fixed-effects spatial Durbin model, it can be concluded that demand is price-inelastic for Airbnb accommodation in New York City, which is a luxury good, and that the city's traditional accommodation industry as well as neighboring Airbnb listings are substitutes for the investigated Airbnb listings. The estimation results are robust against several alternative specifications of the regression equation.  相似文献   

14.
  总被引:5,自引:0,他引:5  
One of the main characteristics of current tourism is the reduction in the length of stay at a destination. Nevertheless, this variable has received little attention in literature. This paper examines the microeconomic determinants of the length of stay at one of the Mediterranean's leading sun-and-sand destinations. The estimation of a conditional demand function model highlights the explanatory power of the tourist's sociodemographic profile and of holiday characteristics, as well as the sensitivity of the length of stay to price changes.  相似文献   

15.
    
This study used scoring rules to evaluate density forecasts generated by different time-series models. Based on quarterly tourist arrivals to Hong Kong from ten source markets, the empirical results suggest that density forecasts perform better than point forecasts. The seasonal autoregressive integrated moving average (SARIMA) model was found to perform best among the competing models. The innovation state space models for exponential smoothing and the structural time-series models were significantly outperformed by the SARIMA model. Bootstrapping improved the density forecasts, but only over short time horizons.This article also launches the Annals of Tourism Research Curated Collection on Tourism Demand Forecasting, a special selection of research in this field.  相似文献   

16.
In this paper, we construct and use a piecewise linear method to model and forecast, on a monthly basis, the demand for Macau tourism. Data over the period January 1991–December 2005 and a seasonally adjusted series for tourism demand are used. The study examines 4 forecasting horizons ranging from 6 to 24 months in advance. Mean absolute percentage errors and root mean square errors are adopted as criteria for evaluating the accuracy of the forecasting exercises. Finally, the forecasts of piecewise linear model are compared with those of autoregressive trend model, seasonal autoregressive integrated moving average and its arch-rival fractionally integrated autoregressive moving average models. The piecewise linear model is more accurate than the three benchmark models tested and the improvement is practically significant.  相似文献   

17.
  总被引:4,自引:0,他引:4  
The main objectives of this paper are to identify the factors which contribute to the demand for Hong Kong tourism with the aid of econometric models and to generate forecasts of international tourism arrivals to Hong Kong for the period 2001–2008. The general-to-specific modelling approach is followed to model and forecast the demand for Hong Kong tourism by residents from the 16 major origin countries/regions and the empirical results reveal that the most important factors that determine the demand for Hong Kong tourism are the costs of tourism in Hong Kong, the economic condition (measured by the income level) in the origin countries/regions, the costs of tourism in the competing destinations and the ‘word of mouth’ effect. The demand elasticities and forecasts of tourism arrivals obtained from the demand models form the basis of policy formulations for the tourism industry in Hong Kong.  相似文献   

18.
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.  相似文献   

19.
This paper contributes to filling two gaps: i) the presence of a limited amount of studies focused on tourism demand turning points, ii) the prevalent recourse to linear models in demand analysis, disregarding the complex structure of tourism destinations. The paper uses the Horizontal Visibility Graph Algorithm, a technique able to transform a time series of observations into a network whose topology preserves some fundamental characteristics of the system examined. The empirical work focuses on Livigno, an Italian alpine destination.Findings reveal four turning points in the last 50 years; these changes are built around shifts in the origin market segments. The network's degree distribution confirms the complex structure of the destination and reconfirms the importance of non-linear models and methods for the analysis of tourism demand.  相似文献   

20.
    
After more than ten years of exponential development, the growth rate of cruise tourist in China is slowing down. There is increasingly financial risk of investing in homeports, cruise ships and promotional activities. Therefore, forecasting Chinese cruise tourism demand is a prerequisite for investment decision-making and planning. In order to enhance forecasting performance, a least squares support vector regression model with gravitational search algorithm (LSSVR-GSA) is proposed for forecasting cruise tourism demand with big data, which are search query data (SQD) from Baidu and economic indexes. In the proposed model, hyper-parameters of the LSSVR model are optimized with GSA. By comparing these models with various settings, we find that LSSVR-GSA with selected mobile keywords and economic indexes can achieve the highest forecasting performance. The results indicate the proposed framework of the methodology is effective and big data can be helpful predictors for forecasting Chinese cruise tourism demand.  相似文献   

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