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Impact of Economic Policy Uncertainty and Pandemic Uncertainty on International Tourism: What do We Learn From COVID-19?
Zhao, Xin; Meo, Muhammad Saeed; Ibrahim, Tella Oluwatoba; Aziz, Noshaba; Nathaniel, Solomon Prince.
  • Zhao X; School of Statistics and Applied Mathematics, 12531Anhui University of Finance and Economics, China.
  • Meo MS; School of Economics and Management, Xiamen University, China; University of Economics and Human Sciences, Poland; Graduate School of Business, Universiti Sains Malaysia, Malaysia.
  • Ibrahim TO; Department of Economics, 108285University of Ilorin, Nigeria.
  • Aziz N; School of Economics, Shandong University of Technology China.
  • Nathaniel SP; Department of Economics, University of Lagos, Nigeria; School of Foundation, Lagos State University, Nigeria.
Eval Rev ; : 193841X221132125, 2022 Oct 18.
Article in English | MEDLINE | ID: covidwho-2288803
ABSTRACT
Uncertainty is an overarching aspect of life that is particularly pertinent to the present COVID-19 pandemic crisis; as seen by the pandemic's rapid worldwide spread, the nature and level of uncertainty have possibly increased due to the possible disconnects across national borders. The entire economy, especially the tourism industry, has been dramatically impacted by COVID-19. In the current study, we explore the impact of economic policy uncertainty (EPU) and pandemic uncertainty (PU) on inbound international tourism by using data gathered from Italy, Spain, and the United States for the years 1995-2021. Using the Quantile on Quantile (QQ) approach, the study confirms that EPU and PU negatively affected inbound tourism in all states. Wavelet-based Granger causality further reveals bi-directional causality running from EPU to inbound tourism and unidirectional causality from PU to inbound tourism in the long run. The overall findings show that COVID-19 has had a strong negative effect on tourism. So resilient skills are required to restore a sustainable tourism industry.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Eval Rev Year: 2022 Document Type: Article Affiliation country: 0193841X221132125

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Eval Rev Year: 2022 Document Type: Article Affiliation country: 0193841X221132125