The effect of population health on the inflows of foreign direct investment in Africa

Immurana, Mustapha; Iddrisu, Abdul‐Aziz; Mohammed, Ayisha; Boachie, Micheal Kofi; Owusu, Samuel Mensah; K.K, Toby Joseph Mathew; Halidu, Babamu Osman

doi:10.1016/j.resglo.2023.100114

Cited by 9 publications

(4 citation statements)

References 25 publications

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“…Given the aforementioned estimation concerns, we use the system Generalised Method of Moments (GMM) regression of Arellano and Bover (1995) and Blundell and Bond (1998) as our empirical estimation technique. This is because, aside from being dynamic in nature, the system GMM is capable of dealing with endogeneity using first differenced and level equations as well as the lags of independent variables as instruments (Immurana et al , 2021b, 2023b; Roodman, 2009; Sakyi and Egyir, 2017). The statistical appropriateness of the system GMM estimates is confirmed using the Hansen overidentification test (Hansen j ), the Arellano–Bond second-order serial correlation test (ARB) and avoiding the proliferation of instruments.…”

Section: Methodsmentioning

confidence: 99%

How does per capita income growth affect bipolar and depression disorders in Africa?

Immurana,

Kisseih,

Abdullahi

et al. 2024

JPMH

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Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.

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Section: Methodsmentioning

confidence: 99%

How does per capita income growth affect bipolar and depression disorders in Africa?

Immurana,

Kisseih,

Abdullahi

et al. 2024

JPMH

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“…In addition, the insignificance of the P values of J and DW suggests the absence of overidentification and endogeneity respectively. 28 - 33 …”

Section: Methodsmentioning

confidence: 99%

Malaria Prevalence and Macroeconomic Output in Ghana, 1990 to 2019

Immurana,

Klu,

Aberese-Ako

et al. 2024

INQUIRY

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In Ghana, malaria remains the number 1 reason for outpatient department visits, making it a major public health problem. Thus, there could be significant lost productivity days as a result of malaria morbidity and mortality, which could negatively affect economic output at the macrolevel. Nonetheless, there is a dearth of empirical evidence of the effect of malaria on macroeconomic output in Ghana. This study therefore aims to provide the foremost empirical evidence regarding the effect of malaria prevalence on macroeconomic output in Ghana using a time series design with data spanning the period 1990 to 2019. Gross Domestic Product (GDP), serving as a proxy for macroeconomic output, is the dependent variable, while the prevalence of malaria (overall, among only males and among only females) serves as the main independent variable. The Ordinary Least Square (OLS) regression is used as the baseline estimation technique and the Instrumental Variable Two-Stage Least Square (IV2SLS) regression is employed as the robustness check estimator due to its ability to deal with endogeneity. The IV2SLS regression results show that a percentage increase in the overall prevalence of malaria is associated with a 1.16% decrease in macroeconomic output at 1% significance level. We also find that the effect of malaria in males on macroeconomic output is slightly higher relative to females. The findings from the OLS regression are not qualitatively different from the IV2SLS regression estimates. There is therefore the need to strengthen efforts such as quality case management, larval source management, mass distribution of long-lasting insecticide-treated bed nets, social behavior change, surveillance (both epidemiological and entomological), intermittent preventive treatment of malaria in pregnancy, research among others, which are important toward eliminating malaria.

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“…The system GMM is chosen for the following reasons: (i) it is able to capture the persistence of dependent variables overtime, (ii) it is able to deal with the problem of endogeneity emanating from the persistence term correlating with the error term and (iii) it is capable of handling problems associated with the dependent variable being able to affect the independent variables, which is also a form of endogeneity. 20 , 21 , 27 - 32 …”

Section: Methodsmentioning

confidence: 99%

“…To avoid the proliferation of instruments, the number of instruments should be less than the number of countries. 20 , 21 , 27 - 32 …”

Section: Methodsmentioning

confidence: 99%

The Effect of Economic Growth on the Utilisation of Childhood Immunisation: New Evidence From 50 African Countries

Immurana,

Abdul Rahman

2024

Health�Serv�Insights

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Africa bears the greatest brunt of under-five mortality in the world. Among the major approaches used in tackling under-five deaths is childhood immunisation. While income is regarded as a major determinant of demand for child health inputs including immunisation, the existing studies are microlevel analyses, which do not provide a bigger picture of how an enhancement in economic growth (aggregate income) contributes to the utilisation of childhood immunisation in an economy as a whole. Since Africa has experienced economic growth in the recent decades, this study aims to fill this gap in the literature by examining the contribution of economic growth to the utilisation of childhood immunisation in selected African countries. The study uses a panel design involving data on 50 African countries over the period, 2002 to 2019. Utilisation of DPT (diphtheria, pertussis (or whooping cough) and tetanus) and measles immunisation are used as proxies for childhood immunisation while the system Generalised Method of Moments (GMM) regression is used as the estimation technique. We find economic growth to have a positive significant effect on the utilisation of childhood immunisation. Thus, it is imperative to intensify the enablers of economic growth in Africa in order to increase the utilisation of childhood immunisation.

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The effect of population health on the inflows of foreign direct investment in Africa

Cited by 9 publications

References 25 publications

How does per capita income growth affect bipolar and depression disorders in Africa?

How does per capita income growth affect bipolar and depression disorders in Africa?

Malaria Prevalence and Macroeconomic Output in Ghana, 1990 to 2019

The Effect of Economic Growth on the Utilisation of Childhood Immunisation: New Evidence From 50 African Countries

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