scholarly journals Human Capital, Productivity and Economic Growth in 31 Sub-Saharan African Countries for the Period 1975–2008

Author(s):  
Girma Zelleke
2021 ◽  
Vol 5 (1) ◽  
pp. 1-24
Author(s):  
AISHA AHMAD SAJOH

Purpose: This research looked into debate on the possible impact of human capital on economic growth in Sub-Saharan Africa (SSA) and considers two alternative measures of human capital: health and education. Methodology: The research used a dynamic model based on the system generalized method of moments (SGMM) and analysed a balanced panel data covering 35 countries from 1986–2018. The research used Microsoft excel to record all the data gotten from the world indicator data base from world bank, penn world table data base and CANA database. The analysis was presented in a tabular form. Findings: This study found that human capital has an overall positive and statistically significant impact on economic growth in the SSA region, although, democracy has a negative and statistically significant impact on economic growth in the region. This finding shows the importance of both measures of human capital and aligns with the argument in the literature that neither education nor health is a perfect substitute for the other as a measure of human capital. Unique contribution to theory, practice and policy:Generally, the finding emphasised that both education and health measures of human capital are important, and that policymakers must consider the level of economic development while formulating policies that can enhance the impact of human capital on economic growth in the Sub-Saharan Africa region.


2020 ◽  
Vol 68 (2) ◽  
pp. 249-268
Author(s):  
Taiwo Akinlo ◽  
Olusola Joel Oyeleke

This study explored human capital–economic growth nexus and determine if the relationship is influenced by the level of economic development in 36 sub-Saharan African countries during the period from 1986–2018. The study used dynamic generalised method of moments (GMM) and static estimations to achieve the objective of the study. The study used alternative indicators of human capital to provide strong evidence and robust results. The study also considered the income groups within the region. The study found that human capital contributed to economic growth, as its indicators are positive and significant. The study also found that the connection that exists between human capital and economic growth also depends on the level of economic development. Generally, our finding emphasised that both education and health measures of human capital are important, and that policymakers must consider the level of economic development while formulating policies that can enhance the impact of human capital on economic growth in the Sub-Saharan Africa region.


2018 ◽  
Vol 5 (2) ◽  
pp. 185
Author(s):  
Patrice Rélouendé Zidouemba

In this paper, we construct an economy-wide recursive dynamic model for Burkina Faso to explore the impact of scaling up public capital in different aggregate sectors. While several researchers emphasize the importance for sub-Saharan African countries of giving higher priority to agriculture to stimulate economic growth and reduce poverty, some authors state that non-agricultural sectors should now receive special attention following the success achieved in some countries in South Asia. These countries have indeed applied a different paradigm: a program of economic growth and poverty reduction based on non-agricultural sectors. This study aims to provide insights into this debate. It draws from the public capital productivity literature to postulate the positive productive externalities of public investment. The results show that, with the same amount of public investment, financed by the same source, public investment in agriculture yields positive impacts that are significantly higher than those yielded by investments in non-agricultural sectors (industry and services). Added value growth in non-agricultural sectors is higher under public investment in agriculture than in non-agricultural sectors.


2014 ◽  
Vol 2 (2) ◽  
Author(s):  
Shuaib Lwasa

Africa’s urbanization rate has increased steadily over the past three decades and is reported to be faster than in any other region in the world . It is estimated that by 2030, over half of the African population will be living in urban areas . But the nature of Africa’s urbanization and subsequent form of cities is yet to be critically analyzed in the context of city authorities’ readiness to address the challenges . Evidence is also suggesting that urbanization in African countries is increasingly associated with the high economic growth that has been observed in the last two decades . Both underlying and proximate drivers are responsible for the urbanization, and these include population dynamics, economic growth, legislative designation, increasing densities in rural centers, as well as the growth of mega cities such as Lagos, Cairo and Kinshasa, that are extending to form urban corridors . With the opportunities of urbanization in Sub–Saharan Africa, there are also challenges in the development and management of these cities . Those challenges include provision of social services, sustainable economic development, housing development, urban governance, spatial development guidance and environmental management, climate change adaptation, mitigation and disaster risk reduction . The challenge involves dealing with the development and infrastructure deficit, in addition to required adaption to and mitigation of climate change . This paper examines the current state of urban management in Africa .


2021 ◽  
Vol 13 (4) ◽  
pp. 1780
Author(s):  
Chima M. Menyelim ◽  
Abiola A. Babajide ◽  
Alexander E. Omankhanlen ◽  
Benjamin I. Ehikioya

This study evaluates the relevance of inclusive financial access in moderating the effect of income inequality on economic growth in 48 countries in Sub-Saharan Africa (SSA) for the period 1995 to 2017. The findings using the Generalised Method of Moments (sys-GMM) technique show that inclusive financial access contributes to reducing inequality in the short run, contrary to the Kuznets curve. The result reveals a negative effect of financial access on the relationship between income inequality and economic growth. There is a positive net effect of inclusive financial access in moderating the impact of income inequality on economic growth. Given the need to achieve the Sustainable Development Targets in the sub-region, policymakers and other stakeholders of the economy must design policies and programmes that would enhance access to financial services as an essential mechanism to reduce income disparity and enhance sustainable economic growth.


2016 ◽  
Vol 19 (3) ◽  
pp. 147-167 ◽  
Author(s):  
Ashenafi Beyene Fanta ◽  
Daniel Makina

This paper examines the finance growth link of two low-income Sub-Saharan African economies – Ethiopia and Kenya – which have different financial systems but are located in the same region. Unlike previous studies, we account for the role of non-bank financial intermediaries and formally model the effect of structural breaks caused by policy and market-induced economic events. We used the Vector Autoregressive model (VAR), conducted impulse response analysis and examined variance decomposition. We find that neither the level of financial intermediary development nor the level of stock market development explains economic growth in Kenya. For Ethiopia, which has no stock market, intermediary development is found to be driven by economic growth. Three important inferences can be made from these findings. First, the often reported positive link between finance and growth might be caused by the aggregation of countries at different stages of economic growth and financial development. Second, country-specific economic situations  and episodes are important in studying the relationship between financial development and economic growth. Third, there is the possibility that the econometric model employed to test the finance growth link plays a role in the empirical result, as we note that prior studies did not introduce control variables.


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