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Bipolar and depression disorders are some of the most common mental health disorders affecting millions of people in low-and middle-income countries, including those in Africa. These disorders are therefore major contributors to the burden of diseases and disability. While an enhancement in income is seen as a major approach towards reducing the burden of these disorders, empirical evidence to support this view in the African context is lacking. This study therefore aims to examine the effect of per capita income growth on bipolar and depression disorders across African countries.

The study uses data from secondary sources comprising 42 African countries over the period, 2002–2019, to achieve its objective. The prevalence of bipolar and major depressive disorders (depression) are used as the dependent variables, while per capita income growth is used as the main independent variable. The system Generalised Method of Moments regression is used as the estimation technique.

In the baseline, the authors find per capita income growth to be associated with a reduction in the prevalence of bipolar (coefficient: −0.001, p < 0.01) and depression (coefficient: −0.001, p < 0.1) in the short-term. Similarly, in the long-term, per capita income growth is found to have negative association with the prevalence of bipolar (coefficient: −0.059, p < 0.01) and depression (coefficient: −0.035, p < 0.1). The results are similar after robustness checks.

This study attempts at providing the first empirical evidence of the effect of per capita income growth on bipolar and depression disorders across several African countries.

Ghana is one of the countries instituting several measures toward attracting more Foreign Direct Investment (FDI) inflows. This is because, FDI is largely viewed as essential to socioeconomic development. However, while population health can influence FDI inflows, it has received very little attention. This study, therefore, investigates empirically, as to focusing on population health could be a useful tool in Ghana’s attempt to attract more FDI inflows.

The study uses time series data on Ghana from 1980 to 2018 to achieve its objective. Life expectancy, death rate, infant mortality rate, under-five mortality rate and incidence of malaria are used as proxies for population health, while the Ordinary Least Square (OLS) and the Instrumental Variable Two-Stage Least Square (IV2SLS) regressions are employed as empirical estimation techniques.

Using the OLS regression, except the incidence of malaria, the study finds all the other population health indicators to significantly influence FDI inflows. However, after controlling for endogeneity using the IV2SLS regression, all population health indicators are found to be significant as regards their effects on FDI inflows.

Paying attention to population health could be an effective strategy that can be employed by policymakers in the quest to get more FDI inflows into Ghana.

This study, to the best of our knowledge, is the first study solely devoted to Ghana, which doing so helps in devising country-specific policies with regard to the effect of population health on FDI inflows. Further, this study becomes the first to use death rate, infant mortality rate and under-five mortality rate in examining the effect of population health on FDI inflows. Thus, since there are various causes of deaths, using indicators that capture deaths from all factors helps in giving a much broader picture with regard to the FDI population health nexus. Also, this study is the first to use up to five different population health indicators in examining the effect of population health on FDI inflows, which aids in revealing whether FDI is sensitive to the population health indicator used.