The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Assessing impacts of SARS and Avian Flu on international tourism demand to Asia
Open accessAbstract
The purpose of this paper is to investigate the impacts of infectious diseases including Avian Flu and severe acute respiratory syndrome (hereafter SARS) on international tourist arrivals in Asian countries using both single datasets and panel data procedures. An autoregressive moving average model together with an exogenous variables (ARMAX) model are used to estimate the effects of these diseases in each SARS- and Avian Flu-infected country, while a dynamic panel model is adopted to estimate the overall impact on the region of these two diseases. The empirical results from both approaches are consistent and indicate that the numbers of affected cases have a significant impact on SARS-affected countries but not on Avian Flu-affected countries. However, since the potential damage arising from the Avian Flu and subsequent pandemic influenza is much greater than that resulting from the SARS, the need to take the necessary precautions in the event of an outbreak of Avian Flu and pandemic influenza warrants further attention and action. Therefore, the empirical findings of this study could add to the knowledge regarding the relationship between tourism and crisis management, especially in so far as the management of transmissible diseases is concerned.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Arellano, M., & Bond, S. (1991) · The Review of Economic Studies · doi:10.2307/2297968 · Cited by 33,272
Hsiao, C. (2014) · doi:10.1017/cbo9781139839327 · Cited by 7,869
Hsiao, C. (2022) · doi:10.1017/9781009057745 · Cited by 7,869
Marketing the competitive destination of the future
Buhalis, D. (2000) · Tourism Management · doi:10.1016/s0261-5177(99)00095-3 · Cited by 3,641
Critical Values for Cointegration Tests
MacKinnon, J. G., & MacKinnon, J. G. (2010) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.273723 · Cited by 2,569
Towards a framework for tourism disaster management
Faulkner, B. (2001) · Tourism Management · doi:10.1016/s0261-5177(00)00048-0 · Cited by 1,335
Chaos, crises and disasters: a strategic approach to crisis management in the tourism industry
Ritchie, B. W. (2004) · Tourism Management · doi:10.1016/j.tourman.2003.09.004 · Cited by 1,141
Long-Run Economic Relationships: Readings in Cointegration
(1991) · doi:10.1093/oso/9780198283393.001.0001 · Cited by 759
The Econometric Analysis of Time Series.
Chen, C., & Harvey, A. C. (1991) · Journal of the American Statistical Association · doi:10.2307/2290620 · Cited by 500
Self-citationAn Econometric Analysis of the Impact of Terrorism on Tourism
Enders, W., Sandler, T., & Parise, G. F. (1992) · Kyklos · doi:10.1111/j.1467-6435.1992.tb02758.x · Cited by 445
Cited by
COVID-19: potential effects on Chinese citizens’ lifestyle and travel
Wen, J., Kozak, M., Yang, S., & Liu, F. (2021) · Tourism Review · doi:10.1108/tr-03-2020-0110 · Cited by 820
‘No Ebola…still doomed’ – The Ebola-induced tourism crisis
Novelli, M., Gussing Burgess, L., Jones, A., & Ritchie, B. W. (2018) · Annals of Tourism Research · doi:10.1016/j.annals.2018.03.006 · Cited by 641
Metadata
- Authors
- Kuo, H.-I., Chen, C.-C., Tseng, W.-C., Ju, L.-F., & Huang, B.-W.
- Venue
- Tourism Management
- Publisher
- Elsevier BV
- Published
- 2008-10
- Volume
- 29
- Issue
- 5
- Pages
- 917-928
- ISSN
- 0261-5177 (ISSN-L)
- OpenAlex
- W2048490493
- Cited by
- 438
- References
- 24
- FWCI
- 20.91
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Assessing impacts of SARS and Avian Flu on international tourism demand to Asia. https://app.cochat.ai/papers/10.1016/j.tourman.2007.10.006
- The paper
- Kuo, H.-I., Chen, C.-C., Tseng, W.-C., Ju, L.-F., & Huang, B.-W. (2008). Assessing impacts of SARS and Avian Flu on international tourism demand to Asia. Tourism Management. https://doi.org/10.1016/j.tourman.2007.10.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.