Reasons for Some Countries Having More COVID-19 Cases Than Others: Evidence from 70 Most Affected Countries <i>sans</i> China

Mohammad Mokammel Karim Toufique

doi:doi:10.11648/j.jwer.20200902.13

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Reasons for Some Countries Having More COVID-19 Cases Than Others: Evidence from 70 Most Affected Countries sans China

Mohammad Mokammel Karim Toufique

Received: 30 July 2020 Accepted: 2 September 2020 Published: 17 September 2020

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Abstract

A look into the country-level data on the number of COVID-19 positive cases reveals considerable cross-country variations in the number of officially confirmed COVID-19 positive cases. Consequently, there exists a research gap in the relevant field of research. This paper attempts to explain the variations in the number of officially confirmed COVID-19 positive cases across countries around the world and thus fills in the research gap. The study develops a unique dataset of 70 of the most COVID-19 affected countries and employs multiple regression techniques. The findings indicate that regional characteristics play an essential role. Percent of people living in the urban area, number of tests, air passenger transport (an indicator of population mobility) also come out as determinants with substantial influence. Besides, the impacts of trade relationships with China (a proxy for the degree of interaction with the country) and per capita health expenditure appears to be noteworthy. Differences in temperature are found to have no appreciable impact. Also, factors such as the relative importance of health in national policy, the quality of life, and the quality of governance fail to register any vital influence. The study does not find any evidence of endogeneity of the total number of tests conducted.

DOI	10.11648/j.jwer.20200902.13
Published in	Journal of World Economic Research (Volume 9, Issue 2, December 2020)
Page(s)	91-98
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

COVID-19, Economics, Variation in Coronavirus Cases, Trade with China, Air Passenger Transport

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Mohammad Mokammel Karim Toufique. (2020). Reasons for Some Countries Having More COVID-19 Cases Than Others: Evidence from 70 Most Affected Countries sans China. Journal of World Economic Research, 9(2), 91-98. https://doi.org/10.11648/j.jwer.20200902.13

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Mohammad Mokammel Karim Toufique. Reasons for Some Countries Having More COVID-19 Cases Than Others: Evidence from 70 Most Affected Countries sans China. J. World Econ. Res. 2020, 9(2), 91-98. doi: 10.11648/j.jwer.20200902.13

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AMA Style

Mohammad Mokammel Karim Toufique. Reasons for Some Countries Having More COVID-19 Cases Than Others: Evidence from 70 Most Affected Countries sans China. J World Econ Res. 2020;9(2):91-98. doi: 10.11648/j.jwer.20200902.13

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@article{10.11648/j.jwer.20200902.13,
  author = {Mohammad Mokammel Karim Toufique},
  title = {Reasons for Some Countries Having More COVID-19 Cases Than Others: Evidence from 70 Most Affected Countries sans China},
  journal = {Journal of World Economic Research},
  volume = {9},
  number = {2},
  pages = {91-98},
  doi = {10.11648/j.jwer.20200902.13},
  url = {https://doi.org/10.11648/j.jwer.20200902.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jwer.20200902.13},
  abstract = {A look into the country-level data on the number of COVID-19 positive cases reveals considerable cross-country variations in the number of officially confirmed COVID-19 positive cases. Consequently, there exists a research gap in the relevant field of research. This paper attempts to explain the variations in the number of officially confirmed COVID-19 positive cases across countries around the world and thus fills in the research gap. The study develops a unique dataset of 70 of the most COVID-19 affected countries and employs multiple regression techniques. The findings indicate that regional characteristics play an essential role. Percent of people living in the urban area, number of tests, air passenger transport (an indicator of population mobility) also come out as determinants with substantial influence. Besides, the impacts of trade relationships with China (a proxy for the degree of interaction with the country) and per capita health expenditure appears to be noteworthy. Differences in temperature are found to have no appreciable impact. Also, factors such as the relative importance of health in national policy, the quality of life, and the quality of governance fail to register any vital influence. The study does not find any evidence of endogeneity of the total number of tests conducted.},
 year = {2020}
}

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TY - JOUR
T1 - Reasons for Some Countries Having More COVID-19 Cases Than Others: Evidence from 70 Most Affected Countries sans China
AU - Mohammad Mokammel Karim Toufique
Y1 - 2020/09/17
PY - 2020
N1 - https://doi.org/10.11648/j.jwer.20200902.13
DO - 10.11648/j.jwer.20200902.13
T2 - Journal of World Economic Research
JF - Journal of World Economic Research
JO - Journal of World Economic Research
SP - 91
EP - 98
PB - Science Publishing Group
SN - 2328-7748
UR - https://doi.org/10.11648/j.jwer.20200902.13
AB - A look into the country-level data on the number of COVID-19 positive cases reveals considerable cross-country variations in the number of officially confirmed COVID-19 positive cases. Consequently, there exists a research gap in the relevant field of research. This paper attempts to explain the variations in the number of officially confirmed COVID-19 positive cases across countries around the world and thus fills in the research gap. The study develops a unique dataset of 70 of the most COVID-19 affected countries and employs multiple regression techniques. The findings indicate that regional characteristics play an essential role. Percent of people living in the urban area, number of tests, air passenger transport (an indicator of population mobility) also come out as determinants with substantial influence. Besides, the impacts of trade relationships with China (a proxy for the degree of interaction with the country) and per capita health expenditure appears to be noteworthy. Differences in temperature are found to have no appreciable impact. Also, factors such as the relative importance of health in national policy, the quality of life, and the quality of governance fail to register any vital influence. The study does not find any evidence of endogeneity of the total number of tests conducted.
VL - 9
IS - 2
ER -

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Mohammad Mokammel Karim Toufique

Department of Economics, Noakhali Science and Technology University, Noakhali, Bangladesh

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Mohammad Mokammel Karim Toufique. (2020). Reasons for Some Countries Having More COVID-19 Cases Than Others: Evidence from 70 Most Affected Countries sans China. Journal of World Economic Research, 9(2), 91-98. https://doi.org/10.11648/j.jwer.20200902.13

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ACS Style

Mohammad Mokammel Karim Toufique. Reasons for Some Countries Having More COVID-19 Cases Than Others: Evidence from 70 Most Affected Countries sans China. J. World Econ. Res. 2020, 9(2), 91-98. doi: 10.11648/j.jwer.20200902.13

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AMA Style

Mohammad Mokammel Karim Toufique. Reasons for Some Countries Having More COVID-19 Cases Than Others: Evidence from 70 Most Affected Countries sans China. J World Econ Res. 2020;9(2):91-98. doi: 10.11648/j.jwer.20200902.13

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@article{10.11648/j.jwer.20200902.13,
  author = {Mohammad Mokammel Karim Toufique},
  title = {Reasons for Some Countries Having More COVID-19 Cases Than Others: Evidence from 70 Most Affected Countries sans China},
  journal = {Journal of World Economic Research},
  volume = {9},
  number = {2},
  pages = {91-98},
  doi = {10.11648/j.jwer.20200902.13},
  url = {https://doi.org/10.11648/j.jwer.20200902.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jwer.20200902.13},
  abstract = {A look into the country-level data on the number of COVID-19 positive cases reveals considerable cross-country variations in the number of officially confirmed COVID-19 positive cases. Consequently, there exists a research gap in the relevant field of research. This paper attempts to explain the variations in the number of officially confirmed COVID-19 positive cases across countries around the world and thus fills in the research gap. The study develops a unique dataset of 70 of the most COVID-19 affected countries and employs multiple regression techniques. The findings indicate that regional characteristics play an essential role. Percent of people living in the urban area, number of tests, air passenger transport (an indicator of population mobility) also come out as determinants with substantial influence. Besides, the impacts of trade relationships with China (a proxy for the degree of interaction with the country) and per capita health expenditure appears to be noteworthy. Differences in temperature are found to have no appreciable impact. Also, factors such as the relative importance of health in national policy, the quality of life, and the quality of governance fail to register any vital influence. The study does not find any evidence of endogeneity of the total number of tests conducted.},
 year = {2020}
}

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