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International Journal of Public Health

Erschienen in:

01.09.2015 | Original Article

Corruption and population health outcomes: an analysis of data from 133 countries using structural equation modeling

verfasst von: Roni Factor, Minah Kang

Erschienen in: International Journal of Public Health | Ausgabe 6/2015

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Abstract

Objectives

The current study aims to develop a theoretical framework for understanding the antecedents of corruption and the effects of corruption on various health indicators.

Methods

Using structural equation models, we analyzed a multinational dataset of 133 countries that included three main groups of variables—antecedents of corruption, corruption measures, and health indicators.

Results

Controlling for various factors, our results suggest that corruption rises as GDP per capita falls and as the regime becomes more autocratic. Higher corruption is associated with lower levels of health expenditure as a percentage of GDP per capita, and with poorer health outcomes. Countries with higher GDP per capita and better education for women have better health outcomes regardless of health expenditures and regime type.

Conclusions

Our results suggest that there is no direct relationship between health expenditures and health outcomes after controlling for the other factors in the model. Our study enhances our understanding of the conceptual and theoretical links between corruption and health outcomes in a population, including factors that may mediate how corruption can affect health outcomes.

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Titel: Corruption and population health outcomes: an analysis of data from 133 countries using structural equation modeling
verfasst von: Roni Factor
Minah Kang
Publikationsdatum: 01.09.2015
Verlag: Springer Basel
Erschienen in: International Journal of Public Health / Ausgabe 6/2015
Print ISSN: 1661-8556
Elektronische ISSN: 1661-8564
DOI: https://doi.org/10.1007/s00038-015-0687-6

Springer Medizin

Abstract

Objectives

Methods

Results

Conclusions

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