This paper uses panel data over the 1960-2000 period, a modified neoclassical growth equation, and a dynamic panel estimator to investigate the effect of higher education human capital on economic growth in African countries. We find that all levels of education human capital, including higher education human capital, have positive and statistically significant effect on the growth rate of per capita income in African counties. Our result differs from those of earlier research that find no significant relationship between higher education human capital and income growth. We estimate the growth elasticity of higher education human capital to be about 0.09, an estimate that is twice as large as the growth impact of physical capital investment. While this is likely to be an overestimate of the growth impact of higher education, it is robust to different specifications and points to the need for African countries to effectively use higher education human capital in growth policies.
Background: Continued investment, especially from domestic financing, is needed for Ethiopia to achieve universal health coverage and a sustainable health system over time. Understanding costs of providing health services will assist the government to mobilize adequate resources for health, and to understand future costs of changes in quality of care, service provision scope, and potential decline in external resources. This study assessed costs per unit of service output, "unit costs", for government primary hospitals and health centers, and disease-specific services within each facility. Methods: Quantitative and qualitative data were collected from 25 primary hospitals and 47 health centers across eight of the eleven regions of Ethiopia for 2013/14, and 2014/15 and 2015/16 but only for primary hospitals, and supplemented by other related health and financial institutions records. A top-down costing approach was used to estimate unit costs for each facility by departmentinpatient, outpatient, maternal and child health, and delivery. A mixed-method approach was used for the disease-specific unit costs exempt from fees.
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