Abstract

The tourism industry carries great significance in the economic development of any country. It has been observed that the COVID-19 crisis has affected global travel and tourism more than any other sector globally as well as in China. The travel restrictions, home isolation, and quarantine orders have given massive damage to China's once thriving tourism industry. Despite this phenomenal impact, the existing literature has a dearth of empirical studies related to the impact of the COVID-19 pandemic on the tourism industry. This study attempts to reflect a thorough picture of the current scenario and the crisis effects under different intensities reflected through quantiles of Covid-19 related deaths. The study has utilized the QARDL model and the Wald test on the daily time series data of COVID-19 intensity, the real effective exchange rate, oil prices, and the tourism development index from January 1, 2020, to March 15, 2021. The outcomes indicate that COVID-19 related deaths have a negative, but significant impact on China's tourism in the long run and short run. The oil prices also show a negative influence on tourism in the long run, but there is no significant impact of the oil prices on tourism in the short run. At the same time, the increase in the real effective exchange rates tends to support tourism in the long run, but does not influence tourism development in the short run.

Details

Title
Does the COVID-19 pandemic affect the tourism industry in China? Evidence from extreme quantiles approach
Author
Song, Yun 1 ; Zhao, Peng 2 ; Hsu-Ling, Chang 3 ; Razi, Ummara 4 ; Marius Sorin Dinca 5 

 International Business School, Qingdao Huanghai University, Qingdao, Shandong, China 
 School of Economics and Management, Nanning Normal University, Nanning, China 
 Department of Accounting, Ling Tung University, Taichung City, Taiwan 
 Department of Business Administration, Iqra University, Karachi, Pakistan 
 Finance and Accounting, Transilvania University of Brasov, Brașov, Romania 
Pages
2333-2350
Publication year
2022
Publication date
Dec 2022
Publisher
Taylor & Francis Ltd.
ISSN
1331677X
e-ISSN
18489664
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2755974442
Copyright
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.