新冠肺炎疫情对泰国物流绩效、经济增长和旅游业的影响:基于ARIMA的实证预测

IF 1.9 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Brazilian Journal of Operations & Production Management Pub Date : 2021-04-01 DOI:10.14488/BJOPM.2021.001
L. Janjua, F. Muhammad, Patthaphon Sukjai, A. Rehman, Zhang Yu
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引用次数: 11

摘要

目标:旅游业在其他行业中一直扮演着至关重要的角色,对泰国的国内生产总值贡献巨大。由于最近的大流行危机,全球旅游业面临衰退。本文的目的是利用ARIMA预测设计/方法/方法来预测未来九个月泰国的游客流入。为了达到研究目的,我们采用了单变量时间序列预测游客到达。AR(12)和MA(12)过程与d(1)顺序指定适当的模型也适用于预测国际游客数量的选择,在通过相关图q统计和残差相关图对调整后的ARIMA(12,1,12)进行序列诊断检查后,我们发现残差对70滞后较低。结果:有证据预测,在未来9个月,由于新冠肺炎大流行危机,泰国将面临明显的国际游客负区到达,这将导致国际游客数量不足,对泰国经济产生不利影响。然而,游客数量的减少最终会减少泰国的空气污染,从而对环境质量产生积极影响。调查的局限性:就本研究的局限性而言,该预测仅对泰国有效,基于历史和当前数据。实际意义:我们强烈建议泰国政府提高整体物流绩效,并进一步提高旅游部门对可再生能源和绿色绩效的使用。独创性/价值:本研究为泰国提供旅游预测估计,可以帮助政府在Covid-19大流行危机下重塑其旅游政策。由于本研究是首次尝试为旅游业提供与Covid-19相关的预测。©2021,Associacao Brasileira de engharia de Producao。版权所有。
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Impact of COVID-19 pandemic on logistics performance, economic growth and tourism industry of Thailand: an empirical forecasting using ARIMA
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. Limitations 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. © 2021, Associacao Brasileira de Engenharia de Producao. All rights reserved.
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来源期刊
Brazilian Journal of Operations & Production Management
Brazilian Journal of Operations & Production Management OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
2.90
自引率
9.10%
发文量
27
审稿时长
44 weeks
期刊最新文献
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