This study empirically examines the role of health on economic growth in Sub-Saharan Africa using a panel data from 1990 to 2011. The study employed a panel data analysis in which the random effects model was used to examine the relationships among variables. Each of the explanatory variables were tested for multicollinearity using the Variance Inflation Factor (VIF) which was not found among variables, and other tests such as the Hausman test which showed that the random effects model is the most preferred, the heteroskedasticity test which was also conducted using the Modified Wald test and found the presence of heteroskedasticity which was corrected in the model and the random effects test using the Breush-Pagan lagrange multiplier. The random effects model results show that health in terms of life expectancy has an inelastic and significant influence on gross domestic product per capita while in terms of the prevalence of HIV showed an inelastic but did not have a significant influence on gross domestic product per capita. Another important result is that economic growth had a positive relationship with gross fixed capita formation, secondary school enrolment and the prevalence of HIV while it had a negative relationship with total labour force and life expectancy. Thus, we conclude that although health in terms of mortality and morbidity had an inelastic relationship on gross domestic product per capita, mortality showed a significant influence while morbidity had no significant influence on economic growth in Sub-Saharan African.



1.1 Background of the Study
1.1.1 Overview of Health in Sub-Saharan Africa
1.2 Statement of the Research Problem
1.3 Scope and Limitation of the Study
1.4 Research Questions
1.5 Objectives of the Study
1.6 Hypothesis of the Study
1.7 Definition of Terms
1.8 Significance of Study
1.9 Methodology
1.10   Data Sources
1.11   Outline of Chapters

2.0 Introduction
2.1 Review of Definitional/Conceptual Issues
2.1.1 Health and Economic Growth
2.1.2 Human Capital and Economic Development
2.1.4 Health and Labour Productivity
2.1.5 Various Health Challenges Prevailing in Sub-Saharan Africa: A Brief Evaluation of (Tuberculosis, Malaria and HIV/AIDS) Tuberculosis (TB) Malaria HIV/AIDS
2.2 Review of Theoretical Issues
Grossman theory of the demand for health care
The Solow neoclassical growth model
The endogenous growth theory
2.3 Review of Methodological and Empirical Issues
2.3.1 Empirical issues
2.3.2 Methodological issues
2.3.3 Conclusion

3.1 Introduction
3.2 Theoretical Framework
3.2.1 The Solow Neoclassical Growth Model Framework
3.3 Research Methodology
3.3.1 Model Specification
            Justification of Variables
            Apriori Expectation
3.3.2 Technique of Estimation
3.3.3 Data Employed, Measurement and Sources

4.1 Introduction
4.2 Descriptive Analysis of the Data
4.2.1 Statistical Analysis
4.3 Empirical Analysis and Discussion of Results
4.3.1 Test for Multicollinearity
4.3.2 Test for Heteroskedasticity
4.3.3 Hausman Test
4.3.4 Interpreting the Random Effects Model
4.3.5 Testing for random effects using the Breush-Pagan Lagrange Multiplier (LM)
4.4 Summary of Findings and Economic interpretation of results
4.5 Policy Implications of Findings and Conclusions

5.1 Summary of Work
5.2 Recommendations
5.3 Conclusion
5.3.1 Limitations of the study
5.3.2 Suggestions for further studies

1.1 Background of the Study
Health is pertinent to human capital which is one of the main inputs for economic growth and development. The World Health Organization (1946) defined health as “a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity”. “Many factors combine together to affect the health of individuals and communities whether people are healthy or not, is determined by their circumstances and environment. To a large extent factors such as where we live, the state of our environment, genetics, our income and educational level, and our relationships with friends and family all have considerable impacts on health whereas the more commonly considered factors such as access and use of health care services often have less of an impact” (WHO, 2013).

According to WHO (2013) the determinants of health include: the social and economic environment, the physical environment, and the person’s individual characteristics and behaviour. The Sub-Sahara Countries in Africa include most of the countries located south of the Sahara, which is most of Africa. According to Afro Central (2013), “these countries are considered extremely rural with little or no power generation to the sparse communities, making health care a luxury often unheard of or not even thought about. Much of the culture is steeped in ancient rituals and tradition and are non believers in modern medicine and general health care”. This describes the attitude of people towards modern Health care services as they still prefer their traditional and ancient health care services. Health also plays an important role in economic growth, as the saying goes ‘Health is Wealth’. Health is a determinant of human capital as according to Barro (1996) health is ‘a capital productive asset and an engine of economic growth’. Also, human capital formulation which consists of health and education leads to the attainment of economic growth as according to Grossman (1972), Bloom and Canning (2000) individuals who are healthy in terms of assimilating knowledge are more efficient and as a result of this obtain higher productivity (Rico, Turrbiates and Hernandez, 2005).

Out of the Eight Millennium Development Goals (MDGs) adopted by 189 countries following the signing of the United Nations Millennium Declaration in 2000, MDG 4, 5 and 6 relate directly to health which are: to reduce child mortality by two-thirds between 1990-2015, improve maternal health by three-quarters between 1990 and 2015 and combat HIV/AIDS (HIV means Human Immunodeficiency Virus while AIDS means Acquired Immune Deficiency Syndrome), malaria and other diseases by 2015. According to World Development Indicator (2013) looking at the MDG 4 which is to reduce child mortality, in developing countries the under-five mortality rate fell from an average of 95 per 1000 per live births in 1990 to 56 in 2011, but rates in Sub-Saharan Africa and south Asia remain much higher.

Also most children die from causes that are readily preventable and curable with existing interventions, such as pneumonia (18%), diarrhoea (11%) and malaria (7%). Almost 70% of deaths of children under age 5 occur in the first year of life, and 60% of those in the first month. Preterm birth complications account for 14% of deaths, and complications during birth another 9%.(UN Inter-Agency Group for Child Mortality Estimation, 2012; WDI, 2013). There is need to address the causes of neonatal and infant mortality such as inadequate antenatal, prenatal and after birth care, poor sanitation and malnutrition and high vulnerability rate to diseases. Also, lower infant and child mortality rates are, in turn, the largest contributors to higher life expectancy in most countries (World Development Indicators, 2013).

According to WDI (2013) an estimated 287,000 maternal deaths occurred worldwide in 2010, all but 1,700 of them in developing countries, that is, about 285300 maternal deaths occurred in developing countries. More than half of maternal deaths occur in Sub-Saharan Africa and a quarter in South Asia. Reducing maternal mortality requires an understandable approach to the reproductive health of.....

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Item Type: Project Material  |  Size: 109 pages  |  Chapters: 1-5
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