Uzuner Gizem, Ghosh Sudeshna
Faculty of Economics, Administrative and Social Sciences, Istanbul Gelisim University, Istanbul, Turkey.
Department of Economics, Scottish Church College, 1&3 Urquhart Square, University of Calcutta, Kolkata, West Bengal 700006 India.
Qual Quant. 2021;55(5):1561-1579. doi: 10.1007/s11135-020-01074-7. Epub 2020 Nov 16.
In this study, the asymmetric Granger causality relationship between tourist arrivals and world pandemic uncertainty index is examined by controlling inflation, consumer confidence index, and industrial production for the period 2000M1 and 2020M1 in Italy. To the best of our knowledge, the current study is one of the few studies to investigate the relationship between tourist arrivals and world pandemic uncertainty in an asymmetric framework. The empirical results show that using the Granger causality test in a linear framework causes bias results due to misspecification. Therefore, the study relies on asymmetric Granger causality test results which reveal that the positive shock of world pandemic uncertainty Granger causes a negative shock of tourist arrivals. It is suggested that international tourist arrivals are sensitive to external shocks such as pandemics and in such instances the government of the concerned country can insulate the tourism-service and hospitality industry against the shocks by developing strategies to promote full information between all stakeholders.
在本研究中,通过控制意大利2000年1月至2020年1月期间的通货膨胀、消费者信心指数和工业生产,考察了游客到访量与全球疫情不确定性指数之间的不对称格兰杰因果关系。据我们所知,当前的研究是为数不多的在不对称框架下研究游客到访量与全球疫情不确定性之间关系的研究之一。实证结果表明,在一个线性框架中使用格兰杰因果检验会因设定错误而导致有偏差的结果。因此,本研究依赖于不对称格兰杰因果检验结果,该结果显示全球疫情不确定性的正向冲击会格兰杰导致游客到访量的负向冲击。研究表明,国际游客到访量对疫情等外部冲击很敏感,在这种情况下,相关国家的政府可以通过制定策略来促进所有利益相关者之间的充分信息交流,从而使旅游服务和酒店业免受冲击。