Differences in the global COVID-19 Tourism index among the five continents.

  • Vladimir Vega Falcón Universidad Regional Autónoma de Los Andes
  • Fernando Castro Sánchez Universidad Regional Autónoma de Los Andes
  • Belkis Sánchez Martínez Universidad Regional Autónoma de Los Andes
Keywords: One-factor ANOVA, COVID-19, Global COVID-19 Tourism Index, Tourism, variance

Abstract

The objective of the study was to demonstrate the differences in the Global COVID-19 Tourism Index between the five continents. It was an observational, retrospective, cross-sectional and analytical study, corresponding to the relational level. The one-way ANOVA was used in the analysis of 100 countries, as well as the Tukey and Scheffé post hoc tests, with the support of the SPSS Statistics software. As a result, it was evidenced that the one who really has statistically significant differences with other continents is specifically Europe. It is concluded that the researcher's hypothesis that there are statistically significant differences between the means of the five continents in the Global COVID19 Tourism Index is fulfilled.

References

Alin, A. (2010). Minitab.Wiley Interdisciplinary Reviews: Computational Statistics, 2(6), 723-727.

Eisenhart, C. (1947). The assumptions underlying the analysis of variance.Biometrics, 3(1), 1-21.

Fernandes, N. (2020). Economic effects of coronavirus outbreak (COVID-19) on the world economy.IESE Business School Working Paper No. WP-1240-E. Recuperado de: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3557504

Haryanto, T. (2020). COVID-19 pandemic and international tourism demand.JDE (Journal of Developing Economies), 5(1), 1-5.

McKibbin, W., & Fernando, R. (2020). The global macroeconomic impacts of COVID-19: Seven scenarios.Asian Economic Papers, 1-55.

Ozili, P. K., & Arun, T. (2020). Spillover of COVID-19: impact on the Global Economy. University of Essex - Essex Business School. Recuperado de:https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3562570

Pérez, P., Noroña, D., y Vega, V. (2021). Repercusión SARS-CoV-2 en salud mental y bienestar psicológico del personal Centro de Salud Huambalo 2020. Revista Scientific, 6(19), 243-262, e-ISSN: 2542-2987. Recuperado de: https://doi.org/10.29394/Scientific.issn.2542-2987.2021.6.19.12.243-262

Salvador-Moreno, J.E., Torrens-Pérez, M. E., Vega-Falcón, V., y Noroña-Salcedo, D.R. (2021). Diseño y validación de instrumento para la inserción del salario emocional ante la COVID-19. Retos Revista de Ciencias de la Administración y Economía, 11(21), pp. 41-52. https://doi.org/10.17163/ret.n21.2021.03

Supo, J. y Zacarías, H. (2020). Metodología de la investigación científica: Para las Ciencias de la Salud y las Ciencias Sociales. (3ra. Edición). Perú: Editorial bioestadístico EEDU

Vega Falcón, V. (1998). Aplicación de la Matemática Borrosa al cálculo del umbral de rentabilidad. Revista Costos y Gestión, 28, 1-14

Vega, V., Navarro, M., Pérez, L., & Guerrero, D. (2020). Impacto de la COVID-19 en el aprendizaje de estudiantes con discapacidad.Orbis: revista de Ciencias Humanas,16(46), 5-1

Vega Falcón, V., Castro Sánchez, F., & Romero Fernández, A. J. (2020). Impacto de la Covid-19 en el turismo mundial. Revista Universidad y Sociedad, 12(S1), 207-216.

Yang, Y. (23 de 05 de 2020). Covid 19tourism Index. Recuperado el 30 de 03 de 2021: https://experience.arcgis.com/experience/6e1ccb1ee1bb4469871898646aa62f54

Published
2021-05-01