The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Fiji's Tourism Demand: The ARDL Approach to Cointegration
Open accessAbstract
This paper examines the short-run and long-run relationships between visitor arrivals in Fiji, real disposable incomes and relative hotel and substitute prices for the period 1970–2000, using cointegration techniques and error correction models. The paper uses a cointegration technique – the bounds testing approach developed within an autoregressive distributed lag (ARDL) framework – that has not previously been used to estimate tourism demand models. The main advantage of the approach is that, apart from providing robust results in small sample sizes, it needs no a priori knowledge about the integration properties of the variables. The long-run results indicate that growth in income in Fiji's main tourist source markets has a positive impact on visitor arrivals while relative hotel and substitute prices have negative impacts on visitor arrivals. The findings are consistent with economic theory and proffer important policy implications.
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Cites
Co-integration and error correction: representation, estimation and testing
Engle, R. F., & Granger, C. W. J. (1987) · Econometrica · doi:10.2307/1913236 · Cited by 32,007
Bounds testing approaches to the analysis of level relationships
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001) · Journal of Applied Econometrics · doi:10.1002/jae.616 · Cited by 20,385
Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models
Johansen, S. (1991) · Econometrica · doi:10.2307/2938278 · Cited by 11,116
Likelihood-Based Inference in Cointegrated Vector Autoregressive Models
Johansen, S. (1995) · doi:10.1093/0198774508.001.0001 · Cited by 5,315
Techniques for Testing the Constancy of Regression Relationships Over Time
Brown, R. L., Durbin, J., & Evans, J. M. (1975) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1975.tb01532.x · Cited by 5,128
An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis
Pesaran, M. H., & Shin, Y. (2012) · Econometrics and Economic Theory in the 20th Century · doi:10.1017/ccol521633230.011 · Cited by 3,937
DEVELOPMENTS IN THE STUDY OF COINTEGRATED ECONOMIC VARIABLES
Granger, C. W. J. (1986) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.1986.mp48003002.x · Cited by 2,565
Asymptotic Properties of Residual Based Tests for Cointegration
Phillips, P. C. B., & Ouliaris, S. (1990) · Econometrica · doi:10.2307/2938339 · Cited by 1,978
Stock, J. H., & Watson, M. W. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478707 · Cited by 1,894
Mizon, G. E., Griliches, Z., & Intriligator, M. D. (1985) · The Economic Journal · doi:10.2307/2233046 · Cited by 785
Cited by
Has the tourism-led growth hypothesis been validated? A literature review
Brida, J. G., Cortes-Jimenez, I., & Pulina, M. (2016) · Current Issues in Tourism · doi:10.1080/13683500.2013.868414 · Cited by 607
Song, H., Qiu, R. T. R., & Park, J. (2019) · Annals of Tourism Research · doi:10.1016/j.annals.2018.12.001 · Cited by 523
The Methodological Progress of Tourism Demand Forecasting: A Review of Related Literature
Goh, C., & Law, R. (2011) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2011.562856 · Cited by 112
Metadata
- Authors
- Narayan, P. K.
- Venue
- Tourism Economics
- Publisher
- SAGE Publications
- Published
- 2004-06
- Volume
- 10
- Issue
- 2
- Pages
- 193-206
- ISSN
- 1354-8166 (ISSN-L)
- 2044-0375
- OpenAlex
- W2072309239
- Cited by
- 314
- References
- 24
- FWCI
- 16.46
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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