Multidimensional Inequality and Covid-19 in Brazil

Multidimensional Inequality and Covid-19 in Brazil

Levy Economics Institute of Bard College Public Policy Brief No. 153, 2020 MULTIDIMENSIONAL INEQUALITY AND COVID-19 IN BRAZIL LUIZA NASSIF-PIRES, LAURA CARVALHO, and EDUARDO RAWET Contents 3 Preface Dimitri B. Papadimitriou 4 Multidimensional Inequality and COVID-19 in Brazil Luiza Nassif-Pires, Laura Carvalho, and Eduardo Rawet 18 About the Authors The Levy Economics Institute of Bard College, founded in 1986, is an autonomous research organization. It is nonpartisan, open to the examina- tion of diverse points of view, and dedicated to public service. The Institute is publishing this research with the conviction that it is a constructive and positive contribution to discussions and debates on relevant policy issues. Neither the Institute’s Board of Governors nor its advisers necessarily endorse any proposal made by the authors. The Institute believes in the potential for the study of economics to improve the human condition. Through scholarship and research it generates viable, effective public policy responses to important economic problems that profoundly affect the quality of life in the United States and abroad. The present research agenda includes such issues as financial instability, poverty, employment, gender, problems associated with the distribution of income and wealth, and international trade and competitiveness. In all its endeavors, the Institute places heavy emphasis on the values of personal freedom and justice. Editor: Michael Stephens Text Editor: Elizabeth Dunn The Public Policy Brief Series is a publication of the Levy Economics Institute of Bard College, Blithewood, PO Box 5000, Annandale-on-Hudson, NY 12504-5000. For information about the Levy Institute, call 845-758-7700, e-mail [email protected], or visit the Levy Institute website at www.levyinstitute.org. The Public Policy Brief Series is produced by the Bard Publications Office. Copyright © 2020 by the Levy Economics Institute. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information-retrieval system, without permission in writing from the publisher. ISSN 1063-5297 ISBN 978-1-936192-69-4 Public Policy Brief, No. 153 2 Preface As major global crises often do, COVID-19 has exposed coun- not explain the observed disparities in death rates in Brazil, for tries’ political, policy, and socioeconomic fault lines and vulner- instance. For a more comprehensive picture of relevant inequali- abilities. In a previous public policy brief, Luiza Nassif-Pires led ties, the authors focus on the persistence of unequal access to a study examining the feedback loops between the pandemic healthcare and variations in the prevalence of comorbidities, and racial, gender, and income inequalities in the United States both of which contribute to the severity of illness and number (Public Policy Brief No. 149, “Pandemic of Inequality”). For this of deaths. The authors also reveal that, in terms of the gaps in current policy brief, Nassif-Pires, Laura Carvalho, and Eduardo observed rates of infection and hospitalization for COVID-19, Rawet use a similar analytical framework to examine Brazil’s racial inequality appears to have played a more significant role experience with COVID-19—a country whose high income than income inequality. inequality and history of slavery predispose it to share similar Nassif-Pires, Carvalho, and Rawet note that Brazil entered structural weaknesses in the face of the pandemic. the pandemic on the heels of slow GDP growth, high unemploy- Nassif-Pires, Carvalho, and Rawet note that Brazil is suffer- ment, and rising inequality—along with ongoing implementa- ing from some of the worst per capita numbers in the world in tion of an austerity program spurred by a new, constitutionally terms of cases and deaths, and they explore here how yawning enshrined ceiling on the growth of federal expenditure. With the racial, regional, and class disparities can help account for why COVID-19 emergency, those fiscal restraints were temporarily COVID-19 has had such a deleterious impact on the Brazilian lifted: Brazil mounted a fiscal response equivalent to 6.5 percent population. Although they find that fiscal policy has so far been of GDP (in health and nonhealth measures), with almost half successful at mitigating the impacts of the crisis with respect to of this response dedicated to a cash transfer program, Auxílio wage inequality, the existence of structural inequalities along Emergencial. The authors find that, for the bottom half of the racial lines in particular have resulted in the public health burden income distribution, this program raised incomes by more than of this pandemic being unequally borne. the crisis-induced fall in wages. As a result, poverty was reduced The authors construct an index to measure the social bases to its lowest level ever recorded and, so far, the impact of the crisis of vulnerability to the virus, focused mainly on risks driven by in terms of rising income inequality has been neutralized. living and working conditions such as informal employment or Amidst uncertainty over how long the Auxílio Emergencial cramped living arrangements. The index reveals significant dis- will be extended, rising bankruptcies among small firms, and parities in the risk of infection that break down along lines of race, rumblings of a return to an austerity regime, the authors stress region, income, and education. Moreover, the overlap of racial that the current fiscal measures must be both retained and inequalities with income or educational inequalities exacerbates enhanced (they recommend more action on credit measures for these disparities—the authors find this to be especially conspicu- businesses). Moreover, the effects of structural inequalities on ous with respect to the intersection of race and low educational the country’s infection rates and death count make it clear that attainment. They note that infection, hospitalization, and death broader policy changes are necessary for addressing other dimen- rate microdata targeting these intersections of race, gender, and sions of inequality, particularly those rooted in structural racism. class would help better guide effective public policy. Nassif-Pires, Carvalho, and Rawet find that the disparate As always, I welcome your comments. public health impact of the pandemic reflects the inequalities identified by their vulnerability index, particularly with respect Dimitri B. Papadimitriou, President to infection rates. Nevertheless, the authors explain that the index September 2020 only reveals part of the story. Social vulnerability alone does Levy Economics Institute of Bard College 3 Introduction fight the coronavirus. In August, the Latin American death toll Since the 2008 global financial crisis, income and wealth inequal- passed 200,000, while Brazil topped 100,000 deaths, ranking sec- ities have gained renewed attention in the economic literature ond in the world in absolute number of deaths. If this were not and wider policy debates. Given the economic and political costs enough, the IMF projects a fall of 9.3 percent in Latin America’s of the broadly acknowledged rise of income concentration at the GDP in 2020—a number that makes the 4.9 percent contraction top of the distribution since the 1980s, economists and politi- projected for global GDP look like a mild recession. cians in the past decade have put forward various interpretations In addition to the ineffectiveness of lockdown measures, as well as proposals for reducing the gap between the very rich wide structural inequalities, high levels of informality in the and the rest of the population. However, none of these discus- labor market, and the importance of the services and tourism sions seem to have prepared our society to battle the devastat- sectors in these economies may help explain these disastrous ing consequences of inequality during the COVID-19 crisis. results. Moreover, the region was experiencing a period of slow On the one hand, inequality aggravates the pandemic, as the growth and thus faced high levels of unemployment prior to the wide gap between the rich and poor—in terms of income, type pandemic. In this context, many of these countries lacked the fis- of employment, living conditions, access to health, and other cal space to react proportionately: as of May 2020, more than $1 dimensions—has major consequences for the distribution of the trillion had already been obtained as loans from the IMF to fight death toll within and between countries. On the other hand, the the crisis in Latin America. pandemic exacerbates inequality by widening this gap through By the beginning of August, countries like Peru, Chile, and its deep economic and social impacts. Brazil had the fiscal space to spend more than their neighbors Based on data from 175 countries after five significant but have nonetheless presented some of the highest numbers in epidemics—SARS (2003), H1N1 (2009), MERS (2012), Ebola the world with respect to deaths per 100,000 people.1 In con- (2014), and Zika (2016)—a study by Furceri, Loungani, and trast, Uruguay ranked 125th while spending less than 2 percent Ostry (2020) suggests that these episodes have contributed of GDP to fight the pandemic. While other differences certainly to raising income inequality by almost 1.5 percent in the five have played a role, Uruguay is known for its relatively low level subsequent years. This effect may be substantially larger in the of income inequality in the region: the 2018 Gini index for Brazil COVID-19 pandemic, with health and economic burdens dis- was 53.9 and only 39.7 in Uruguay (World Bank 2018). proportionately laid on those at the bottom of the distribution. High inequality may contribute to explaining why, since First, the most vulnerable are more prone to be infected by the mid-June 2020, Brazil has had the second-highest number of virus, due both to the need to continue working in person and cases in the world, even after spending more than 6 percent of to inequalities in living conditions.

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