Google Trends : Multilevel Propagation Domino Effect on Travel Industry during the Covid-19

Kyung-Yeo Koo, Tae-Hong Ahn
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Abstract

Although there are social and cultural values and the economic value in the tourism industry, unexpected risk factors adversely affect the industrial site. This direct and indirect risk situation in the surrounding environment of the tourism industry continues to amplify negative situations in the economic system. Against this backdrop, this study aims to discover the domino effect of the tourism industry using a search engine built during the Covid-19 pandemic from March to June 2020. To this end, the focus is on using Google Trends and Google Search Engine. The results of this study provided regional and national panel data models around the world through two different Google search engines confirmed interest in the Domino Tourism Industry (travel, hotel, flight), and identified the Multilevel Propagation process and overlapping domino amplification of the pandemic tourism industry. The idea of preparing rapid policy measures in the wake of continuous continuous disasters from direct and indirect small and medium-sized tourism industries to manufacturing-related workers was provided through this.
趋势:新冠肺炎疫情对旅游业的多重传播多米诺效应
虽然旅游产业具有社会文化价值和经济价值,但意外风险因素对工业遗址产生不利影响。旅游业周边环境的这种直接和间接的风险状况不断放大经济系统中的负面情况。在此背景下,本研究旨在利用2020年3月至6月新冠肺炎大流行期间建立的搜索引擎,发现旅游业的多米诺骨牌效应。为此,重点是使用谷歌趋势和谷歌搜索引擎。本研究的结果通过两种不同的谷歌搜索引擎提供了世界各地的区域和国家面板数据模型,证实了对多米诺骨牌旅游业(旅游、酒店、航班)的兴趣,并确定了流行病旅游业的多层次传播过程和重叠的多米诺骨牌放大。从直接和间接的中小旅游产业到制造业相关的劳动者,在接连不断的灾害发生后,迅速制定政策措施的构想就是通过这种方式提出的。
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