Political regime, data transparency, and COVID-19 death cases
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 inte...
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| Vydáno v: | SSM - population health Ročník 15; s. 100832 |
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| Jazyk: | angličtina |
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01.09.2021
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| ISSN: | 2352-8273, 2352-8273 |
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| Abstract | 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.
•Authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts.•Data transparency is positively correlated with the number of death cases more consistently.•The findings point to the possibility of data manipulation as a plausible source for fewer deaths in authoritarian governments. |
|---|---|
| AbstractList | 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. 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.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. 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 ( <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. 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. • Authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts. • Data transparency is positively correlated with the number of death cases more consistently. • The findings point to the possibility of data manipulation as a plausible source for fewer deaths in authoritarian governments. 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. •Authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts.•Data transparency is positively correlated with the number of death cases more consistently.•The findings point to the possibility of data manipulation as a plausible source for fewer deaths in authoritarian governments. |
| ArticleNumber | 100832 |
| Author | Annaka, Susumu |
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| Keywords | COVID-19 Data manipulation Political regime Data transparency |
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| References | Frey, Presidente, Chen (bib7) 2020; 18 Cheibub, Hong, Przeworski (bib5) 2020 (bib12) 2020 Thomson, Ip (bib21) 2020 Cassan, Steenvoort (bib3) 2020 Hale, Webster, Petherick, Phillips, Kira (bib10) 2020 Martin, Muûls, dePreux, Wagner (bib19) 2012; 63 Hollyer, Rosendorff, Vreeland (bib11) 2014; 22 Cepaluni, Dorsch, Branyiczki (bib4) 2020 Marshall, Jaggers, Gurr (bib18) 2020 Coppedge, Gerring, Knutsen, Lindberg, Teorell, Altman, Bernhard, Fish, Glynn, Hicken (bib6) 2020 Kapoor, Malani, Ravi, Agrawal (bib13) 2020 Liang, Tseng, Ho (bib16) 2020; 10 Wang, Mechkova, Andersson (bib22) 2019; 72 Gerring, Knutsen, Mguire, Skaaning, Teorell, Coppedge (bib8) 2020 Gluzmann, Panigo (bib9) 2015; 15 Adiguzel, Cansunar, Corekcioglu (bib1) 2020; 1 Alsan, Braghieri, Eichmeyer, Kim, Stantcheva, Yang (bib2) 2020 Lindsey (bib17) 2014 (bib24) 2020 Norheim, Abi-Rached, Bright (bib20) 2020 Karáth (bib14) 2020; 370 Kavanagh, Singh (bib15) 2020; 45 Hollyer (10.1016/j.ssmph.2021.100832_bib11) 2014; 22 Frey (10.1016/j.ssmph.2021.100832_bib7) 2020; 18 Kapoor (10.1016/j.ssmph.2021.100832_bib13) 2020 Kavanagh (10.1016/j.ssmph.2021.100832_bib15) 2020; 45 (10.1016/j.ssmph.2021.100832_bib12) 2020 Cheibub (10.1016/j.ssmph.2021.100832_bib5) 2020 (10.1016/j.ssmph.2021.100832_bib24) 2020 Cepaluni (10.1016/j.ssmph.2021.100832_bib4) 2020 Martin (10.1016/j.ssmph.2021.100832_bib19) 2012; 63 Cassan (10.1016/j.ssmph.2021.100832_bib3) 2020 Wang (10.1016/j.ssmph.2021.100832_bib22) 2019; 72 Gluzmann (10.1016/j.ssmph.2021.100832_bib9) 2015; 15 Adiguzel (10.1016/j.ssmph.2021.100832_bib1) 2020; 1 Coppedge (10.1016/j.ssmph.2021.100832_bib6) 2020 Liang (10.1016/j.ssmph.2021.100832_bib16) 2020; 10 Karáth (10.1016/j.ssmph.2021.100832_bib14) 2020; 370 Lindsey (10.1016/j.ssmph.2021.100832_bib17) 2014 Thomson (10.1016/j.ssmph.2021.100832_bib21) 2020 Gerring (10.1016/j.ssmph.2021.100832_bib8) 2020 Alsan (10.1016/j.ssmph.2021.100832_bib2) 2020 Marshall (10.1016/j.ssmph.2021.100832_bib18) 2020 Norheim (10.1016/j.ssmph.2021.100832_bib20) 2020 Hale (10.1016/j.ssmph.2021.100832_bib10) 2020 |
| References_xml | – volume: 18 year: 2020 ident: bib7 article-title: Democracy, culture, and contagion: Political regimes and countries responsiveness to covid-19 publication-title: Covid Economics – year: 2020 ident: bib12 article-title: COVID 19 Data Repository – year: 2020 ident: bib20 article-title: Difficult tradeoffs in response to COVID-19: The case for open and inclusive decision making publication-title: Nature Medicine – year: 2020 ident: bib6 article-title: V-Dem [Count ry–Year/Country–Date] Dataset v10. Varieties of Democracy (V-Dem) Project – volume: 45 start-page: 997 year: 2020 end-page: 1012 ident: bib15 article-title: Democracy, capacity, and coercion in pandemic response: COVID-19 in comparative political perspective publication-title: Journal of Health Political Policy Law. December 1 – start-page: 1 year: 2020 end-page: 33 ident: bib21 article-title: COVID-19 emergency measures and the impending authoritarian pandemic publication-title: Journal of Law and the Biosciences – year: 2020 ident: bib10 article-title: Oxford COVID 19 government response tracker – volume: 72 start-page: 554 year: 2019 end-page: 569 ident: bib22 article-title: Does democracy enhance health? New empirical evidence 1900–2012 publication-title: Political Research Quarterly – volume: 10 start-page: 12567 year: 2020 ident: bib16 article-title: Covid-19 mortality is negatively associated with test number and government effectiveness publication-title: Science Report – year: 2020 ident: bib4 article-title: Political Regimes and Deaths in the Early Stages of the COVID-19 Pandemic – volume: 22 start-page: 413 year: 2014 end-page: 434 ident: bib11 article-title: Measuring transparency publication-title: Political Analysis – year: 2020 ident: bib8 article-title: Democracy and human development: Issues of conceptualization and measurement publication-title: Democratization – volume: 63 start-page: 208 year: 2012 end-page: 223 ident: bib19 article-title: Anatomy of a paradox: Management practices, organizational structure and energy efficiency publication-title: Journal of Environmental Economics and Management – volume: 15 start-page: 325 year: 2015 end-page: 349 ident: bib9 article-title: Global search regression: A new automatic model-selection technique for cross-section, time-series, and panel-data regressions publication-title: The Stata Journal – year: 2020 ident: bib3 article-title: Political regime and COVID 19 death rate: Efficient, biasing or simply different autocracies? – year: 2020 ident: bib2 article-title: Civil liberties in times of crisis national bureau of economic research – year: 2020 ident: bib13 article-title: Authoritarian governments appear to manipulate COVID data – volume: 370 year: 2020 ident: bib14 article-title: Covid-19: How does Belarus have one of the lowest death rates in europe? publication-title: BMJ.2020 – year: 2014 ident: bib17 article-title: VSELECT: Stata module to perform linear regression variable selection publication-title: Statistical software components S457808 – year: 2020 ident: bib24 article-title: Worldometer COVID-19 data – volume: 1 start-page: 543 year: 2020 end-page: 557 ident: bib1 article-title: Truth or dare? Detecting systematic manipulation of COVID-19 statistics publication-title: Journal of Political Institutions and Political Economy – year: 2020 ident: bib5 article-title: Rights and deaths: Governmen t reactions to the pandemic – year: 2020 ident: bib18 article-title: Polity V Project, political regime characteristics and transitions, 1800-2018 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib24 – volume: 15 start-page: 325 issue: 2 year: 2015 ident: 10.1016/j.ssmph.2021.100832_bib9 article-title: Global search regression: A new automatic model-selection technique for cross-section, time-series, and panel-data regressions publication-title: The Stata Journal doi: 10.1177/1536867X1501500201 – start-page: 1 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib21 article-title: COVID-19 emergency measures and the impending authoritarian pandemic publication-title: Journal of Law and the Biosciences – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib8 article-title: Democracy and human development: Issues of conceptualization and measurement publication-title: Democratization – year: 2014 ident: 10.1016/j.ssmph.2021.100832_bib17 article-title: VSELECT: Stata module to perform linear regression variable selection – volume: 1 start-page: 543 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib1 article-title: Truth or dare? Detecting systematic manipulation of COVID-19 statistics publication-title: Journal of Political Institutions and Political Economy doi: 10.1561/113.00000021 – volume: 18 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib7 article-title: Democracy, culture, and contagion: Political regimes and countries responsiveness to covid-19 publication-title: Covid Economics – volume: 22 start-page: 413 year: 2014 ident: 10.1016/j.ssmph.2021.100832_bib11 article-title: Measuring transparency publication-title: Political Analysis doi: 10.1093/pan/mpu001 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib6 – volume: 63 start-page: 208 year: 2012 ident: 10.1016/j.ssmph.2021.100832_bib19 article-title: Anatomy of a paradox: Management practices, organizational structure and energy efficiency publication-title: Journal of Environmental Economics and Management doi: 10.1016/j.jeem.2011.08.003 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib12 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib2 – volume: 45 start-page: 997 issue: 6 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib15 article-title: Democracy, capacity, and coercion in pandemic response: COVID-19 in comparative political perspective publication-title: Journal of Health Political Policy Law. December 1 doi: 10.1215/03616878-8641530 – volume: 72 start-page: 554 year: 2019 ident: 10.1016/j.ssmph.2021.100832_bib22 article-title: Does democracy enhance health? New empirical evidence 1900–2012 publication-title: Political Research Quarterly doi: 10.1177/1065912918798506 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib20 article-title: Difficult tradeoffs in response to COVID-19: The case for open and inclusive decision making publication-title: Nature Medicine – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib3 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib5 – volume: 10 start-page: 12567 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib16 article-title: Covid-19 mortality is negatively associated with test number and government effectiveness publication-title: Science Report doi: 10.1038/s41598-020-68862-x – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib13 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib18 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib4 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib10 – volume: 370 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib14 article-title: Covid-19: How does Belarus have one of the lowest death rates in europe? publication-title: BMJ.2020 |
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| Title | Political regime, data transparency, and COVID-19 death cases |
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