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Public Organization Review

Erschienen in:

04.07.2022

Assessing Priorities of Transparency During COVID-19 Pandemic in Brazil

Special Issue on Corruption, Lack of Transparency and the Misuse of Public Funds in Times of Crisis

verfasst von: Maria Paula Almada, Camilo Aggio, Paula Karini Amorim, Nina Santos, Maria Dominguez Costa Pinho

Erschienen in: Public Organization Review | Ausgabe 3/2022

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Abstract

This article assesses the level of transparency of epidemiological and financial budgetary information on the COVID-19 pandemic in Brazilian state governments and the Federal District. State government web portals were assessed. A methodological instrument was developed to categorize and collect the data. We also assessed whether socioeconomic and epidemiological variables can explain state government transparency indices on pandemic information. According to our results, half of Brazilian states have advanced transparency, half have moderate transparency, and one has opaque transparency. HDI and monthly income are variables that better explain the level of transparency.

Vorheriger Artikel Do Economic Recovery Packages Open a Window of Opportunity for Corruption and Mismanagement? The Case of Italy in the Aftermath of the Covid-19 Pandemic

Nächster Artikel Public Sector Strategies in Curbing Corruption: A Review of the Literature

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See: https://www.nexojornal.com.br/expresso/2020/06/04/Qual-o-impacto-dos-atrasos-nos-dados-di%C3%A1rios-da-COVID-19.

See: https://brasil.elpais.com/brasil/2020-06-06/governo-bolsonaro-impoe-apagao-de-dados-sobre-a-COVID-19-no-brasil-em-meio-a-disparada-das-mortes.html.

See: https://noticias.uol.com.br/ultimas-noticias/ansa/2020/06/06/ministerio-da-saude-tira-portal-com-dados-sobre-COVID-do-ar.htm.

See:https://app.powerbi.com/view?r=eyJrIjoiYTE0Nzc4NDctMTI0OC00OWVjLThjMmQtM2U3MTFkY2U2MTU2IiwidCI6IjY2NzhkOWZlLTA5MjEtNDE3ZC04NDExLTVmMWMxOGRlZmJiYiJ9.

See:https://www.gov.br/cgu/pt-br/assuntos/noticias/2020/07/cgu-lanca-painel-para-dar-transparencia-a-contratacoes-relacionadas-a-COVID-19.

See: https://www.poder360.com.br/coronavirus/stf-decide-que-estados-e-municipios-tem-autonomia-para-impor-isolamento/.

See:https://g1.globo.com/politica/noticia/2020/06/08/veiculos-de-comunicacao-formam-parceria-para-dar-transparencia-a-dados-de-COVID-19.ghtml.

See: https://www.lagomdata.com.br/coronavirus.

See: https://brasil.io/home/.

See: https://transparenciaCOVID19.ok.org.br.

See: https://transparenciainternacional.org.br/ranking/ and https://comunidade.transparenciainternacional.org.br/asset/86:tibr-recomendacoes-de-contratacoes-emergenciais-COVID19?stream=1.

See: https://artigo19.org/blog/2020/05/30/relatorio-lancado-pela-artigo-19-revela-dificuldade-para-acesso-a-informacoes-sobre-COVID-19/.

Given the specific political context of this study, some could ask if it would make sense to highlight the political position of state governments—whether in line with or opposed to the Federal Administration—in order to test it as a research variable. Despite the relevance of this question, state governments which are politically affiliated with the federal government were not seen to follow federal health policies concerning the pandemic. Thus, we did not proceed with this line of analysis.

HDI—The index measures four major indicators: life expectancy, expected years of schooling and mean years of schooling completed upon entering the education system, and Gross National Income per capita for standard of living.

GDP—Gross domestic product (GDP) is the standard measure of the monetary value of all goods and services made in a country over a certain time period. It also measures the income earned from that production, or the total amount spent on finished goods and services (not including imports).

Monthly income—Gross monthly income is the widest measure of employment income, covering both employees and the self-employed.

Population density—Population density is population divided by total land area in square kilometers. This ratio can be calculated for any land unit for any point in time, depending on the source of the population data.

See: https://oglobo.globo.com/sociedade/mais-de-6-mil-processos-no-mpf-investigam-fraudes-em-repasses-de-combate-ao-coronavirus-1-24582409.

Predictive power represents the percentage of sensitivity to influence the states’ COVID transparency index. Thus, with the addition of one HDI unit, we will have a decrease of 35,9399 in COVID transparency. Incremental predictive power (0.0039%) represents the percentage of sensitivity to influence the states’ COVID transparency index. Thus, with the addition of one unit of monthly income, we will have an increase of 0,0039 in COVID transparency.

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Titel: Assessing Priorities of Transparency During COVID-19 Pandemic in Brazil
Special Issue on Corruption, Lack of Transparency and the Misuse of Public Funds in Times of Crisis
verfasst von: Maria Paula Almada
Camilo Aggio
Paula Karini Amorim
Nina Santos
Maria Dominguez Costa Pinho
Publikationsdatum: 04.07.2022
Verlag: Springer US
Erschienen in: Public Organization Review / Ausgabe 3/2022
Print ISSN: 1566-7170
Elektronische ISSN: 1573-7098
DOI: https://doi.org/10.1007/s11115-022-00642-9

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