TY - JOUR
T1 - Political regime, data transparency, and COVID-19 death cases
AU - Annaka, Susumu
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP20K22079. I wish to thank Masaru Kohno (Waseda University) and Masaaki Higashijima (Tohoku University). I also thank Masataka Harada (Fukuoka University), Kentaro Hirose (University of Niigata Prefecture), Tomohiko Uyama (Hokkaido University), and Naonari Yajima (Waseda University) for their helpful comments. Any errors that remain are my sole responsibility.
Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP20K22079 . I wish to thank Masaru Kohno (Waseda University) and Masaaki Higashijima (Tohoku University). I also thank Masataka Harada (Fukuoka University), Kentaro Hirose (University of Niigata Prefecture), Tomohiko Uyama (Hokkaido University), and Naonari Yajima (Waseda University) for their helpful comments. Any errors that remain are my sole responsibility.
Publisher Copyright:
© 2021 The Author
PY - 2021/9
Y1 - 2021/9
N2 - The COVID-19—the worst pandemic since the Spanish flu—has dramatically changed the world, with a significant number of people suffering from and dying of the disease. Some scholars argue that democratic governments are disadvantaged in coping with the current pandemic mainly because they cannot intervene in their citizens' lives as aggressively as their authoritarian counterparts. Other scholars, however, suggest that possible data manipulation may account for the apparent advantage of authoritarian countries. Taking such a possibility seriously, this paper analyzes the relationship between political regimes, data transparency, and COVID-19 deaths using cross-national data for over 108 countries, obtained from Worldometer COVID-19 Data, Polity V Project, Variety of Democracy (V-Dem) Project, HRV Transparency Project among other sources. Regression analyses indicate that authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts after controlling for other factors, especially data transparency. The transparency variable itself, on the other hand, is positively correlated with the number of death cases more consistently (P <0.05). Overall, the estimation results point to the possible data manipulation, not the nature of regime characteristics itself, as a more significant source for the seemingly low casualty rates in authoritarian countries.
AB - The COVID-19—the worst pandemic since the Spanish flu—has dramatically changed the world, with a significant number of people suffering from and dying of the disease. Some scholars argue that democratic governments are disadvantaged in coping with the current pandemic mainly because they cannot intervene in their citizens' lives as aggressively as their authoritarian counterparts. Other scholars, however, suggest that possible data manipulation may account for the apparent advantage of authoritarian countries. Taking such a possibility seriously, this paper analyzes the relationship between political regimes, data transparency, and COVID-19 deaths using cross-national data for over 108 countries, obtained from Worldometer COVID-19 Data, Polity V Project, Variety of Democracy (V-Dem) Project, HRV Transparency Project among other sources. Regression analyses indicate that authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts after controlling for other factors, especially data transparency. The transparency variable itself, on the other hand, is positively correlated with the number of death cases more consistently (P <0.05). Overall, the estimation results point to the possible data manipulation, not the nature of regime characteristics itself, as a more significant source for the seemingly low casualty rates in authoritarian countries.
KW - COVID-19
KW - Data manipulation
KW - Data transparency
KW - Political regime
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U2 - 10.1016/j.ssmph.2021.100832
DO - 10.1016/j.ssmph.2021.100832
M3 - Article
AN - SCOPUS:85107954035
SN - 2352-8273
VL - 15
JO - SSM - Population Health
JF - SSM - Population Health
M1 - 100832
ER -