scholarly journals INTERDEPENDENCY BETWEEN ECONOMIC PERFORMANCE AND HIV PREVALENCE IN COUNTRIES OF SUB-SAHARAN AFRICA

2020 ◽  
Vol 14 (2) ◽  
pp. 52-62
Author(s):  
Lubica Zubalova ◽  
Kristina Drienikova ◽  
Ludmila Smakova

The HIV/AIDS threat, as a development obstacle in the underdeveloped world, has persisted for years. Globally, 37.9 million people are HIV positive and the majority, or 70% of them, live in Sub-Saharan Africa, a region with insufficient resources to fight the infection. HIV infection, if it progresses to AIDS, reduces labor force, decreases productivity, increases costs of health services and thus has a negative impact on a country’s economic performance. The research presented in the paper analyzed HIV prevalence and GDP per capita of all SubSaharan countries, disproving the initial hypothesis that the highest HIV prevalence is found among the poorest counties. Paradoxically, HIV incidence is higher in countries with higher middle income like Botswana and the Republic of South Africa. Of the ten most affected countries, only four are ranked in the least developed category. Inverse dependency between the rate of Human Development Index and HIV prevalence, examined using the regression model in the gretl statistical software, was not confirmed and thus high HIV prevalence in population does not automatically lead to extreme poverty. HIV and AIDS form one of several factors affecting economic development of the region of Sub-Saharan Africa. The main aim of the paper is to assess the influence of HIV/AIDS on the economic development of Sub-Saharan nations, using the OLS regression model in gretl, interdependency between the economic performance of a country (GDP per capita) and HIV prevalence in its active population (aged 15–45) to find out whether HIV is among the major factors negatively affecting development in the region of Sub-Saharan Africa.

Author(s):  
Richard E. Mshomba

Since independence, African states have been striving for economic development, but relatively few countries have achieved their goal. Between 1970 and 2016, real GDP per capita in sub-Saharan Africa grew by an annual average of just 0.48%. However, there was a wide range of economic performance across different countries, as well as clear variation in growth rates over time. Countries such as the Central African Republic, Democratic Republic of Congo, Liberia, and Madagascar had, on average, a negative growth rate in terms of real GDP per capita. Meanwhile, countries such as Botswana, Lesotho, Mauritius, Seychelles, and Swaziland had positive average annual growth rates of at least 3%. The differences in economic growth rates reflect the diversity of economic structures, governance, and political stability across African states. Although deeper economic integration among African countries may work to reduce the large disparities in economic development, any projections must nonetheless recognize that countries will differ in their economic trajectories. Variation over time is also important. The dominant patterns of economic development in sub-Saharan Africa in the 1980s and 1990s on the one hand, and the 1970s and past the 1990s on the other, were quite different, reflecting a long business cycle. If we look solely at economic growth statistics, the 1980s and 1990s can be described as lost decades. On average, real GDP per capita on the continent declined annually by 1.54% and 0.62% in the 1980s and 1990s, respectively. By contrast, between 2000 and 2016, real GDP per capita increased by an annual average of 2.13%. One important debate has focused on whether these shifts are primarily the result of domestic or international factors. Structural adjustment programs (SAPs) imposed by the International Monetary Fund (IMF) and the World Bank have been blamed for the decline in the economic fortunes of African countries in the 1980s. At the same time, they are praised for pulling many countries out of unsustainable macroeconomic policies. Moreover, a balanced overview of Africa’s development trajectory must conclude that even without major policy shifts such as those brought forth by the SAPs, many countries would still have remained highly dependent on one or just a few commodities, and would therefore have continued to experience wild swings in their business cycles in the absence of international intervention. The lack of economic diversification of many economies on the continent means that the future is hard to predict. However, the prerequisites for a prosperous Africa are not a mystery—they include good governance, economic diversity, and genuine economic integration.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Frank Götmark ◽  
Malte Andersson

Abstract Background The world population is expected to increase greatly this century, aggravating current problems related to climate, health, food security, biodiversity, energy and other vital resources. Population growth depends strongly on total fertility rate (TFR), but the relative importance of factors that influence fertility needs more study. Methods We analyze recent levels of fertility in relation to five factors: education (mean school years for females), economy (Gross Domestic Product, GDP, per capita), religiosity, contraceptive prevalence rate (CPR), and strength of family planning programs. We compare six global regions: E Europe, W Europe and related countries, Latin America and the Caribbean, the Arab States, Sub-Saharan Africa, and Asia. In total, 141 countries are included in the analysis. We estimate the strength of relationships between TFR and the five factors by correlation or regression and present the results graphically. Results In decreasing order of strength, fertility (TFR) correlates negatively with education, CPR, and GDP per capita, and positively with religiosity. Europe deviates from other regions in several ways, e.g. TFR increases with education and decreases with religiosity in W Europe. TFR decreases with increasing strength of family planning programs in three regions, but only weakly so in a fourth, Sub-Saharan Africa (the two European regions lacked such programs). Most factors correlated with TFR are also correlated with each other. In particular, education correlates positively with GDP per capita but negatively with religiosity, which is also negatively related to contraception and GDP per capita. Conclusions These results help identify factors of likely importance for TFR in global regions and countries. More work is needed to establish causality and relative importance of the factors. Our novel quantitative analysis of TFR suggests that religiosity may counteract the ongoing decline of fertility in some regions and countries.


2015 ◽  
Vol 7 (4) ◽  
pp. 30 ◽  
Author(s):  
Danjuma Maijama'a ◽  
Shamzaeffa Samsudin ◽  
Shazida jan Mohd Khan

<p>This study investigates the effects of the HIV and AIDS epidemic on economic growth in 42<br />sub-Saharan African countries using data spanning from 1990-2013. Unlike previous studies,<br />we use a longer data horizon and take the time lag effect of the epidemic’s incubation period<br />that is, after it might have developed to AIDS into consideration in our estimations. We<br />estimated an empirical growth equation within an augmented Solow model and applied the<br />dynamic system GMM estimator. The results suggest that current HIV prevalence rate –<br />associated with rising morbidity, has a negative effect on GDP per capita growth, conversely<br />AIDS – associated with higher mortality in addition to morbidity, increases per capita GDP<br />growth.</p>


Author(s):  
Senanu Kwasi Klutse

A wide range of policy-related variables have a persistent influence on economic growth. This has consistently maintained the interest of economists on the determinants of economic growth over the years. There is consensus however that for countries to grow sustainably, a lot of stall must be placed on higher savings rate as this makes it easy for such countries to grow faster because they endogenously allocate more resources to inventive activities. Due to data difficulties in Sub-Saharan Africa (SSA) it is nearly impossible for one to consider important variables such as accumulation of knowledge and human capital when analysing growth sustainability. Studying four lower middle-income countries in SSA – Ghana, Republic of Congo, Kenya and Lesotho – this study tests the hypothesis of sustainable growth by using a Dynamic Ordinary Least Square (DOLS) model to examine the relationship between savings, investment, budget deficit and the growth variable. The results showed that savings had a significant but negative relationship with the GDP per capita (PPP). A Granger Causality test conducted showed that savings does not granger cause GDP per capita (PPP), the HDI index, deficit and investment. This leads to the conclusion that growth in these countries are not sustainable. The study recommends that policy makers focus on the savings variable if these countries will want to achieve sustainable growth.


2021 ◽  
Vol 35 (3) ◽  
pp. 133-156
Author(s):  
Belinda Archibong ◽  
Brahima Coulibaly ◽  
Ngozi Okonjo-Iweala

Over three decades after market-oriented structural reforms termed “Washington Consensus” policies were first implemented, we revisit the evidence on policy adoption and the effects of these policies on socio-economic performance in sub-Saharan African countries. We focus on three key ubiquitous reform policies around privatization, fiscal discipline, and trade openness and document significant improvements in economic performance for reformers over the past two decades. Following initial declines in per capita economic growth over the 1980s and 1990s, reform adopters experienced notable increases in per capita real GDP growth in the post-2000 period. We complement aggregate analysis with four country case studies that highlight important lessons for effective reform. Notably, the ability to implement pro-poor policies alongside market-oriented reforms played a central role in successful policy performance.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Abdul-Aziz Seidu ◽  
Bright Opoku Ahinkorah ◽  
Louis Kobina Dadzie ◽  
Justice Kanor Tetteh ◽  
Ebenezer Agbaglo ◽  
...  

Abstract Background Despite the importance of self-reporting health in sexually transmitted infections (STIs) control, studies on self-reported sexually transmitted infections (SR-STIs) are scanty, especially in sub-Saharan Africa (SSA). This study assessed the prevalence and factors associated with SR-STIs among sexually active men (SAM) in SSA. Methods Analysis was done based on the current Demographic and Health Survey of 27 countries in SSA conducted between 2010 and 2018. A total of 130,916 SAM were included in the analysis. The outcome variable was SR-STI. Descriptive and inferential statistics were performed with a statistical significance set at p < 0.05. Results On the average, the prevalence of STIs among SAM in SSA was 3.8%, which ranged from 13.5% in Liberia to 0.4% in Niger. Sexually-active men aged 25–34 (AOR = 1.77, CI:1.6–1.95) were more likely to report STIs, compared to those aged 45 or more years. Respondents who were working (AOR = 1.24, CI: 1.12–1.38) and those who had their first sex at ages below 20 (AOR = 1.20, CI:1.11–1.29) were more likely to report STIs, compared to those who were not working and those who had their first sex when they were 20 years and above. Also, SAM who were not using condom had higher odds of STIs (AOR = 1.35, CI: 1.25–1.46), compared to those who were using condom. Further, SAM with no comprehensive HIV and AIDS knowledge had higher odds (AOR = 1.43, CI: 1.08–1.22) of STIs, compared to those who reported to have HIV/AIDS knowledge. Conversely, the odds of reporting STIs was lower among residents of rural areas (AOR = 0.93, CI: 0.88–0.99) compared to their counterparts in urban areas, respondents who had no other sexual partner (AOR = 0.32, CI: 0.29–0.35) compared to those who had 2 or more sexual partners excluding their spouses, those who reported not paying for sex (AOR = 0.55, CI: 0.51–0.59) compared to those who paid for sex, and those who did not read newspapers (AOR = 0.93, CI: 0.86–0.99) compared to those who read. Conclusion STIs prevalence across the selected countries in SSA showed distinct cross-country variations. Current findings suggest that STIs intervention priorities must be given across countries with high prevalence. Several socio-demographic factors predicted SR-STIs. To reduce the prevalence of STIs among SAM in SSA, it is prudent to take these factors (e.g., age, condom use, employment status, HIV/AIDS knowledge) into consideration when planning health education and STIs prevention strategies among SAM.


2008 ◽  
Vol 5 (2) ◽  
pp. 29-30 ◽  
Author(s):  
Felix Kauye

Malawi is a country in sub-Saharan Africa bordering Mozambique, Tanzania and Zambia. It has an area of approximately 118000 km2 and is divided into northern, central and southern regions. It has an estimated population of 13 million, 47% of whom are under 15 years of age and just 5% over 60 years. Its economy is largely based on agriculture, with tobacco being the main export. The projected growth in gross domestic product (GDP) for 2007 was 8.8%; GDP per capita was $284 per annum.


2020 ◽  
Vol 5 (1) ◽  
pp. e002042 ◽  
Author(s):  
Sanni Yaya ◽  
Olalekan A Uthman ◽  
Michael Kunnuji ◽  
Kannan Navaneetham ◽  
Joshua O Akinyemi ◽  
...  

BackgroundThere is mixed evidence and lack of consensus on the impact of economic development on stunting, and likewise there is a dearth of empirical studies on this relationship in the case of sub-Saharan Africa. Thus, this paper examines whether economic growth is associated with childhood stunting in low-income and middle-income sub-Saharan African countries.MethodsWe analysed data from 89 Demographic and Health Surveys conducted between 1987 and 2016 available as of October 2018 using multivariable multilevel logistic regression models to show the association between gross domestic product (GDP) per capita and stunting. We adjusted the models for child’s age, survey year, child’s sex, birth order and country random effect, and presented adjusted and unadjusted ORs.ResultsWe included data from 490 526 children. We found that the prevalence of stunting decreased with increasing GDP per capita (correlation coefficient=−0.606, p<0.0001). In the unadjusted model for full sample, for every US$1000 increase in GDP per capita, the odds of stunting decreased by 23% (OR=0.77, 95% CI 0.76 to 0.78). The magnitude of the association between GDP per capita and stunting was stronger among children in the richest quintile. After adjustment was made, the association was not significant among children from the poorest quintile. However, the magnitude of the association was more pronounced among children from low-income countries, such that, in the model adjusted for child’s age, survey year, child’s sex, birth order and country random effect, the association between GDP per capita and stunting remained statistically significant; for every US$1000 increase in GDP per capita, the odds of stunting decreased by 12% (OR=0.88, 95% CI 0.87 to 0.90).ConclusionThere was no significant association between economic growth and child nutritional status. The prevalence of stunting decreased with increasing GDP per capita. This was more pronounced among children from the richest quintile. The magnitude of the association was higher among children from low-income countries, suggesting that households in the poorest quintile were typically the least likely to benefit from economic gains. The findings could serve as a building block needed to modify current policy as per child nutrition-related programmes in Africa.


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