Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMA

Detalhes bibliográficos
Autor(a) principal: Janjua, Laeeq Razzak
Data de Publicação: 2021
Outros Autores: Muhammad, Fida, Sukjai, Patthaphon, Rehman, Abdul, Yu, Zhang
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Operations & Production Management (Online)
Texto Completo: https://bjopm.org.br/bjopm/article/view/999
Resumo: Goal: The tourism sector always plays a vital role among other sectors, which contributes heavily to Thailand’s GDP. Due to the recent Pandemic crises, the tourism industry worldwide faces a decline.  The aim of writing this paper is to forecast, tourist inflow for Thailand for the next nine months by using ARIMA forecasting Design/Methodology/Approach: In order to meet the study objective, we adopted the univariate time series forecasting of tourist arrival. The AR(12) and MA(12) process with d(1) order to specify the appropriate model also applied for forecasting selection of international tourist arrivals, after diagnostic checking of series through correlogram Q-statistics and correlogram of residuals for adjusted ARIMA (12,1,12) in which we found low residual against 70 lags. Results: The evidence predicts that in the next nine months, Thailand will face significant negative zone arrival of international tourists due to the COVID-19 pandemic crises, which adversely affect Thailand’s economy due to the shortfall of international tourist arrivals. However decline in tourist arrival will eventually decrease air pollution in Thailand, thus it positively impact on environmental quality. Limitation of the investigation: In terms of limitation of this study, this forecasting is only valid for Thailand based on historical and current data. Practical implications: We highly recommend government of Thailand for enchasing overall logistics performance and furthermore increase use to renewable energy and green performance in their tourism sector. Originality / Value: This study provides tourism forecasting estimation for Thailand, which can help government to reshape their tourism policies due to Covid-19 pandemic crises. As this study is the first attempt to provide forecasting related with Covid-19 for tourism sector.
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spelling Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMAEconomic growth; Tourism industry; COVID-19Goal: The tourism sector always plays a vital role among other sectors, which contributes heavily to Thailand’s GDP. Due to the recent Pandemic crises, the tourism industry worldwide faces a decline.  The aim of writing this paper is to forecast, tourist inflow for Thailand for the next nine months by using ARIMA forecasting Design/Methodology/Approach: In order to meet the study objective, we adopted the univariate time series forecasting of tourist arrival. The AR(12) and MA(12) process with d(1) order to specify the appropriate model also applied for forecasting selection of international tourist arrivals, after diagnostic checking of series through correlogram Q-statistics and correlogram of residuals for adjusted ARIMA (12,1,12) in which we found low residual against 70 lags. Results: The evidence predicts that in the next nine months, Thailand will face significant negative zone arrival of international tourists due to the COVID-19 pandemic crises, which adversely affect Thailand’s economy due to the shortfall of international tourist arrivals. However decline in tourist arrival will eventually decrease air pollution in Thailand, thus it positively impact on environmental quality. Limitation of the investigation: In terms of limitation of this study, this forecasting is only valid for Thailand based on historical and current data. Practical implications: We highly recommend government of Thailand for enchasing overall logistics performance and furthermore increase use to renewable energy and green performance in their tourism sector. Originality / Value: This study provides tourism forecasting estimation for Thailand, which can help government to reshape their tourism policies due to Covid-19 pandemic crises. As this study is the first attempt to provide forecasting related with Covid-19 for tourism sector.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2021-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionResearch paperapplication/pdfhttps://bjopm.org.br/bjopm/article/view/99910.14488/BJOPM.2021.001Brazilian Journal of Operations & Production Management; Vol. 18 No. 2 (2021); 1-132237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/999/972Copyright (c) 2021 Laeeq Razzak Janjua, Fida Muhammad, Patthaphon Sukjai, Abdul Rehman, Zhang Yuinfo:eu-repo/semantics/openAccessJanjua, Laeeq RazzakMuhammad, FidaSukjai, PatthaphonRehman, AbdulYu, Zhang2021-06-22T18:07:56Zoai:ojs.bjopm.org.br:article/999Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:25.714666Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMA
title Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMA
spellingShingle Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMA
Janjua, Laeeq Razzak
Economic growth; Tourism industry; COVID-19
title_short Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMA
title_full Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMA
title_fullStr Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMA
title_full_unstemmed Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMA
title_sort Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMA
author Janjua, Laeeq Razzak
author_facet Janjua, Laeeq Razzak
Muhammad, Fida
Sukjai, Patthaphon
Rehman, Abdul
Yu, Zhang
author_role author
author2 Muhammad, Fida
Sukjai, Patthaphon
Rehman, Abdul
Yu, Zhang
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Janjua, Laeeq Razzak
Muhammad, Fida
Sukjai, Patthaphon
Rehman, Abdul
Yu, Zhang
dc.subject.por.fl_str_mv Economic growth; Tourism industry; COVID-19
topic Economic growth; Tourism industry; COVID-19
description Goal: The tourism sector always plays a vital role among other sectors, which contributes heavily to Thailand’s GDP. Due to the recent Pandemic crises, the tourism industry worldwide faces a decline.  The aim of writing this paper is to forecast, tourist inflow for Thailand for the next nine months by using ARIMA forecasting Design/Methodology/Approach: In order to meet the study objective, we adopted the univariate time series forecasting of tourist arrival. The AR(12) and MA(12) process with d(1) order to specify the appropriate model also applied for forecasting selection of international tourist arrivals, after diagnostic checking of series through correlogram Q-statistics and correlogram of residuals for adjusted ARIMA (12,1,12) in which we found low residual against 70 lags. Results: The evidence predicts that in the next nine months, Thailand will face significant negative zone arrival of international tourists due to the COVID-19 pandemic crises, which adversely affect Thailand’s economy due to the shortfall of international tourist arrivals. However decline in tourist arrival will eventually decrease air pollution in Thailand, thus it positively impact on environmental quality. Limitation of the investigation: In terms of limitation of this study, this forecasting is only valid for Thailand based on historical and current data. Practical implications: We highly recommend government of Thailand for enchasing overall logistics performance and furthermore increase use to renewable energy and green performance in their tourism sector. Originality / Value: This study provides tourism forecasting estimation for Thailand, which can help government to reshape their tourism policies due to Covid-19 pandemic crises. As this study is the first attempt to provide forecasting related with Covid-19 for tourism sector.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Research paper
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://bjopm.org.br/bjopm/article/view/999
10.14488/BJOPM.2021.001
url https://bjopm.org.br/bjopm/article/view/999
identifier_str_mv 10.14488/BJOPM.2021.001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://bjopm.org.br/bjopm/article/view/999/972
dc.rights.driver.fl_str_mv Copyright (c) 2021 Laeeq Razzak Janjua, Fida Muhammad, Patthaphon Sukjai, Abdul Rehman, Zhang Yu
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Laeeq Razzak Janjua, Fida Muhammad, Patthaphon Sukjai, Abdul Rehman, Zhang Yu
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
dc.source.none.fl_str_mv Brazilian Journal of Operations & Production Management; Vol. 18 No. 2 (2021); 1-13
2237-8960
reponame:Brazilian Journal of Operations & Production Management (Online)
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Brazilian Journal of Operations & Production Management (Online)
collection Brazilian Journal of Operations & Production Management (Online)
repository.name.fl_str_mv Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv bjopm.journal@gmail.com
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