Abstract

Newborn deaths are often used as measure of living standard of citizens as well as health indicator of nations. The rate is so high in developing countries, and more in sub-Saharan Africa (SSA) region. This paper therefore investigated the main drivers of infant mortality in a sample of eight SSA nations. The empirical findings reveal that newborn deaths are negative and statistically significant with the quality and availability of water supplies, sanitation facility, improved standard of living; but positively related and statistically significant to the increase in pollution level these countries. The study therefore recommend that government’s efforts should also be directed towards enhancing effective child healthcare services, provision of infrastructural facilities such as, improving access to drinkable water, and citizens’ welfare.

Highlights

  • Infant mortality is frequent used as a social and economic development measures, and as an important measure of living standard of citizens as well as health indicator of nations

  • In year 2000, World Health Organization (WHO) observed that reduced rate of infant mortality can best be achieved through collective efforts and good health system, which should be the ultimate obligation of government, with private system providing supplementary supports

  • As specified in Equation 1 above, the equation examines the direct impact of major drivers of infant mortality rate on infant health outcomes in sub-Saharan Africa region

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Summary

Introduction

Infant mortality is frequent used as a social and economic development measures, and as an important measure of living standard of citizens as well as health indicator of nations. Increase child-health financing is important because; one, it’s citizens’ human right (see for example, Sen, 1999; Fiala and Arthur, 2014); two, infant mortality often measures socio- economic outcomes of citizens, from children’s health, nutrition and education to their future labour supply, employment and productivity. Three, it determines economic growth, fostering economic development and reduces poverty (see Roemer, 1956; Anyanwu and Erthijakpor, 2007; Amiri and Gerdtham, 2013; Pillai, Maleku and Wei, 2013 and Kotsadam et al, 2017). Five focused on summary of the findings and policy recommendations

Literature Reviews
Model Specification
Data Source and Scope
Method of Analysis
Panel Regression Results
Conclusion
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