Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMA
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , |
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. |
id |
ABEPRO_4fe041bbce5ddbefdd3d03ad5eda572d |
---|---|
oai_identifier_str |
oai:ojs.bjopm.org.br:article/999 |
network_acronym_str |
ABEPRO |
network_name_str |
Brazilian Journal of Operations & Production Management (Online) |
repository_id_str |
|
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 |
_version_ |
1797051461522161664 |