Charting a Course to SDG 3

Abstract

This study investigates the impact of the perceived level of corruption on universal health coverage in developing countries over the period 2005-2022. Considering the effects of government health expenditure and population growth, the study utilizes the robust least squares technique in data analysis. The empirical evidence suggests that a high perceived level of corruption significantly impedes universal health coverage. Furthermore, it is established that population growth decreases health coverage, while the impact of government health expenditure on health coverage is insignificant. These findings underscore the need for targeted anti-corruption measures, increased funding for the health sector, and comprehensive family planning strategies to achieve better health coverage outcomes.