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Corruption in public health and its effects on the economic growth of Brazilian municipalities

Author

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  • Eduarda Machoski

    (Federal University of Paraíba)

  • Jevuks Matheus Araujo

    (Federal University of Paraíba)

Abstract

This study’s objective is to estimate the effects of corruption in the public health sector on the economic growth of Brazilian municipalities. To build three corruption measures, data from audits conducted by the office of the comptroller general (Controladoria Geral da Uniao, CGU henceforth) in 2009 and 2010 in the health and sanitation sectors were used. Two analysis steps were performed. The first verified the relationship between the performance of the audit and the economic growth rate of the municipalities, using the Ordinary Least Squares (OLS); the second analyses the effects of corruption on public health on the economic growth of the audited municipalities, using OLS and Quantile Regressions. First, in a sample of 5547 municipalities, the evidence indicates that being audited is related to slower economic growth. From this, when the sample is restricted to the 180 municipalities audited in 2009 and the corruption variables constructed from the audit reports conducted in the year, the results indicate negative effects of corruption on economic growth. The results show that in the larger quantiles of economic growth, the adverse effects of corruption are felt more significantly. Both methods tested with the three corruption variables created provide similar evidence, showing robustness of results. Therefore, the study allowed us to conclude that corruption in the public health sector hampered the economic growth of Brazilian municipalities, which is a delayed effect: Corruption in 2009 had negative effects on growth in 2011.

Suggested Citation

  • Eduarda Machoski & Jevuks Matheus Araujo, 2020. "Corruption in public health and its effects on the economic growth of Brazilian municipalities," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 669-687, July.
    • Handle: RePEc:spr:eujhec:v:21:y:2020:i:5:d:10.1007_s10198-020-01162-3
    DOI: 10.1007/s10198-020-01162-3
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    Cited by:

    1. Elliott Ash & Sergio Galletta & Tommaso Giommoni, 2021. "A Machine Learning Approach to Analyze and Support Anti-Corruption Policy," CESifo Working Paper Series 9015, CESifo.

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    More about this item

    Keywords

    Corruption; Public health; Economic growth; Municipalities;
    All these keywords.

    JEL classification:

    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration

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