4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      The swine flu and its impacts on tourism in Brunei

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This paper demonstrates how to disentangle the impacts of the swine flu on tourism in Brunei, which overlaps with the continued effects of the 2008 global financial crisis that occurred earlier using the auto regressive integrated moving average and intervention time series analysis methods. Estimating the impacts of the swine flu for the first 12 months' post-swine flu period, we have predicted the number of tourists by fitting two auto regressive integrated moving average models: one for the swine flu and another for the global financial crisis which occurred and affected the number of tourist arrivals; and one intervention time series analysis model. It is shown that the number of tourists have been reduced significantly due to both the swine flu and the global financial crisis, which is reconfirmed by testing the coefficients of the fitted intervention time series analysis model. It is found that a small country like Brunei lost nearly 30, 000 (15%) tourists and B$15 million dollars due to the swine flu during the first twelve months’ post-swine flu period.

          Related collections

          Most cited references69

          • Record: found
          • Abstract: not found
          • Article: not found

          LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Intervention Analysis with Applications to Economic and Environmental Problems

            G. BOX, G. Tiao (1975)
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Assessing impacts of SARS and Avian Flu on international tourism demand to Asia

              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.
                Bookmark

                Author and article information

                Contributors
                Journal
                Journal of Hospitality and Tourism Management
                The Authors.
                1447-6770
                1447-6770
                1 February 2017
                September 2018
                1 February 2017
                : 36
                : 92-101
                Affiliations
                [a ]School of Accounting and Finance, Faculty of the Professions, The University of Adelaide, Adelaide, South Australia, 5005, Australia
                [b ]Department of Applied Statistics and Econometrics, International Institute of Business and Social Studies (IIBASS), 9 Collier Court, Burwood, Victoria, 3125, Australia
                Author notes
                []Corresponding author. international.ibass@ 123456gmail.com
                [1]

                Ex-Honorary Senior Fellow of Economics, The University of Melbourne, Victoria 3010, Australia.

                Article
                S1447-6770(16)30124-3
                10.1016/j.jhtm.2016.12.003
                7185868
                18955668-84e8-432b-8601-6c8f6d03ddf1
                © 2018 The Authors

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 20 July 2016
                : 29 November 2016
                : 16 December 2016
                Categories
                Article

                swine flu,global financial crisis,tourism,arima and intervention time series analysis models,forecasting,economy

                Comments

                Comment on this article