Tax Revenue Mobilization in Sub-Saharan Africa: Does political Legitimacy Matters?

The mobilization of substantial domestic resources is required to finance human and physical capital in order to achieve the sustainable development goals. In developing countries like those of Sub-Saharan Africa, the mobilization of tax revenues remains a great challenge. In this context, identifying the determinants of fiscal capacity remains crucial to guide the adoption of appropriate fiscal reforms. Therefore, as part of the wave of literature on the institutional and political determinants of fiscal capacity, this article explores the effect of political legitimacy on tax revenues in a sample of 41 SSA countries over the period 1996-2017. The system GMM in two steps estimator is used for empirical investigation. The result shows that tax revenue increases with political legitimacy. This result suggests that political legitimization in SSA remains crucial to mobilize more resources in order to adequately finance the development

Do Women’s Parliamentary Representation Increase Government Health Spending in Sub-Saharan Africa?

It is widely recognized in the literature that the increased political participation of marginalized sections of the population allows their interests to be taken into account in public policies. At the same time, in Sub-Saharan Africa, the percentage of women parliamentarians rose from 12.1% in 2000 to 24% in 2019. Likewise, health systems are characterized by public underfunding, limited accessibility of health services, and relatively weak maternal and child health indicators. This article evaluates the effect of women’s parliamentary representation on government health spending in a sample of 39 sub-Saharan African countries over the period 2000-2017. The estimates made with fixed effects method, random effects method and panel-corrected standard errors method reveal that government health expenditure increases with the proportion of seats in parliament occupied by women. Therefore, this study advocates for the increase of women participation and representation in political and decision-making spheres. Keywords: Women political participation, health, government health spending, panel data, sub-Sahara Africa DOI: 10.7176/JESD/11-18-09 Publication date:September 30th 202

Effects of Corruption on Tertiary School Enrolment in Africa

This paper empirically analyses the effects of control of corruption on tertiary school enrolment in a panel of 44 African countries over the period 1996-2016. Using system Generalized method of moments and controlling for a large number of other determinants of tertiary school enrolment, it finds that, over the sample period, control of corruption has a substantial positive effect. This is probably because control of corruption increases public spending level and effectiveness on tertiary education, increases the return on tertiary education, and ultimately fosters the access to tertiary education specially the poorer strata in the African economies. In the light of this result, an intensification of control of corruption in Africa is imperative to improve the tertiary school enrolment. Keywords: Control of corruption, tertiary school enrolment, System GMM, Africa DOI: 10.7176/JEP/11-29-06 Publication date:October 31st 202

Knowledge and practice of emergency contraception among female students of public university of Ouagadougou, Burkina Faso, West Africa

Background: Female students are exposed to unsafe sex, sources of unwanted pregnancy and abortions. It is recognized that emergency contraception can effectively prevent pregnancy. The purpose of this study was to evaluate the knowledge and practices of Ouagadougou public university students in relation to emergency contraception in order to propose solutions to reduce the proportion of unwanted pregnancies among female students.Methods: This was a cross-sectional study conducted between May 1st and October 31st, 2016 in the public universities of Ouagadougou. A questionnaire was administered to a sample of 732 students randomly selected.Results: The average age of female students was 22.7 years old. The age group 19 to 24 was the most represented (68.03%). Of the students surveyed, 87% knew or had heard of emergency contraception. The students only used the emergency contraceptive pill. The emergency contraceptive use rate was 44.42%. Approximately, 83% of users were aware of the delay in using emergency contraception. The reasons for using emergency contraception were condom breakage (25.10%) and unprotected sex (74.9%). Female students purchased the contraceptive directly in pharmacies (93.61%).Conclusions: Emergency contraception gives women a last chance to avoid an unwanted pregnancy after unprotected sex.  Awareness and free availability of emergency contraception (EC) could improve the reproductive health of female students

PRACTICE OF BUSINESS INTELLIGENCE BY SMEs IN BURKINA FASO

The integration of information technologies in business management is essential in the context of the globalization of trade and competition. Small and medium-sized enterprises (SMEs) in Burkina Faso do not escape this constraint with a view to improving productivity. Through an exploratory approach, the objective is to provide a better understanding of the appropriation of Business Intelligence by SMEs in Burkina Faso. Thanks to a mixed, quantitative and qualitative method, sixty SMEs were surveyed and three resource people were interviewed from February to April 2021. The descriptive statistics and the analysis grid led to the results according to which the practice of BI by SMEs in Burkina Faso is at an elementary level, despite its relevance for the organizational performance of SMEs. It should be noted that several myths are to be defied and to be able to adapt BI to the needs and realities of SMEs in Burkina Faso for its popularization.  Keywords: Information System, Business Intelligence, Small and Medium Enterprises

What four decades of earth observation tell us about land degradation in the Sahel?

The assessment of land degradation and the quantification of its effects on land productivity have been both a scientific and political challenge. After four decades of Earth Observation (EO) applications, little agreement has been gained on the magnitude and direction of land degradation in the Sahel. The large number of EO datasets and methods associated with the complex interactions among biophysical and social drivers of ecosystem changes make it difficult to apply aggregated EO indices for these non-linear processes. Hence, while many studies stress that the Sahel is greening, others indicate no trend or browning. The different generations of sensors, the granularity of studies, the study period, the applied indices and the assumptions and/or computational methods impact these trends. Consequently, many uncertainties exist in regression models between rainfall, biomass and various indices that limit the ability of EO science to adequately assess and develop a consistent message on the magnitude of land degradation. We suggest several improvements: (1) harmonize time-series data, (2) promote knowledge networks, (3) improve data-access, (4) fill data gaps, (5) agree on scales and assumptions, (6) set up a denser network of long-term field-surveys and (7) consider local perceptions and social dynamics. To allow multiple perspectives and avoid erroneous interpretations, we underline that EO results should not be interpreted without contextual knowledge

Malaria vaccines: Genomic search for profiling naturally acquired immunity

Malaria remains a major public health problem worldwide. Despite many efforts to control or to eliminate the disease many malaria cases and deaths are still reported. The current measures to control malaria include quick diagnosis and treatment of malaria cases, vector control strategies, active research for malaria vaccine discovery and new drugs. Resistance of Plasmodium falciparum to the common and affordable antimalarial drugs as well as the resistance of the malaria vector to usual insecticides has been reported. An effective and affordable malaria vaccine would be the most important tool to control malaria. To date there is no licensed malaria vaccine. Traditional approaches toward malaria vaccine discovery have shown their limitations because of the limited number of proteins that were evaluated. The completion of the genome sequence of Plasmodium falciparum as well as the availability of the high throughput protein microarray immunoassay and other bioinformatic approaches offer the possibility to accelerate and to widen research on malaria vaccine candidates. The harnessing of the well-established model of the naturally acquired immunity (NAI) developed in people living in malaria endemic areas is an important way for the discovery of novel malaria vaccine candidates. Protein microarray is a high throughput technology, which allows the profiling of the humoral immune response to many proteins expressed at different stages of the Plasmodium life cycle in a single experiment. However, despite the hope generated by the sequencing of P. falciparum malaria genome no antigen identified by the protein microarray technology has yet been developed as a potential vaccine. On the other hand identification of structurally stable domains with limited or no polymorphism has led to the development of one candidate tested in phase 1a and 1b clinical trials

Placental malaria and low birth weight in pregnant women living in a rural area of Burkina Faso following the use of three preventive treatment regimens

<p>Abstract</p> <p>Background</p> <p>The weekly chemoprophylaxis of malaria during pregnancy with chloroquine (CQ) has become problematic with the increasing resistance of <it>Plasmodium falciparum </it>to this drug. There was a need to test the benefits of new strategies over the classical chemoprophylaxis. This study was conducted to provide data to the National Malarial Control Programme for an evidence-based policy change decision making process. It compares the efficacy of two IPT regimens, using chloroquine (CQ) or sulphadoxine/pyrimethamine (SP), with the classical chemoprophylaxis regimen using CQ in reducing the adverse outcomes of malaria infection, for the mother and the foetus.</p> <p>Methods</p> <p>Pregnant women attending the first antenatal care visit were randomly assigned to one of the three treatment regimens. They were subsequently followed up till delivery. Maternal, placental and cord blood samples were obtained upon delivery to check for <it>P. falciparum </it>infection.</p> <p>Results</p> <p>A total of 648 pregnant women were enrolled in the study. Delivery outcome were available for 423 of them. Peripheral maternal <it>P. falciparum </it>infection at delivery was found in 25.8% of the women. The proportion of women with maternal infection was significantly lower in the IPTp/SP group than in the CQ group (P << 0.000). The prevalence of placental malaria was 18.8% in the CWC/CQ group; 15.9% in the IPTp/CQ group and 10.6% in the IPTp/SP group. The incidence of LBW (weigth < 2,500 g) was significantly higher among infants of mothers in the CWC/CQ group (23.9%) as compared with those of mothers in the IPTp/CQ (15.6%) and IPTp/SP (11.6%) groups (p = 0.02)</p> <p>Conclusion</p> <p>Intermittent preventive treatment with SP has shown clear superiority in reducing adverse outcomes at delivery, as compared with intermittent preventive treatment with CQ and classical chemoprophylaxis with CQ.</p

A scalable approach to improve CSA targeting practices among smallholder farmers

With climate change, population growth, and land degradation exerting mounting pressures on agricultural systems in developing countries, climate-smart agriculture (CSA) strategies have been prioritized as a means to strengthen smallholder farmers' resilience. However, precise targeting methodologies remain a challenge. This study employs a comprehensive approach, integrating Socio-economic, and Biophysical (SEBP), and the Five Capitals Model analyses encompassing human, social, physical, natural, and financial capital. The study employs factor analysis for mixed data (FAMD), cluster analysis using partitioning around the medoids (PAM) and univariate and bivariate techniques to identify and classify distinct typologies of smallholder farming systems in Senegal's Tambacounda and Sedhiou regions in 2020. A probit regression model gauges CSA adoption probability, to better focus CSA efforts. Results underscore the pivotal role of SEBP factors in shaping distinct farmer typologies, enabling precise CSA targeting. Geographical distribution patterns of these typologies reveal non-random clustering, particularly in specific regions. Four farmer typologies emerge: Cluster 1 (Sedhiou, low-income, high climate challenges), Cluster 2 (Sedhiou and Tambacounda, low-to middle-income, moderate climatic challenges), Cluster 3 (Tambacounda, high income, favorable climate), and Cluster 4 (Tambacounda, low income, severe climate challenges). Technology mismatches emerge between farmers' SEBP profiles and capital assets, prompting the identification of relevant technologies for soil fertility restoration and increased output. These findings highlight the importance of implementing CSAs in accordance with specific requirements, such as enhancing soil fertility, yield, and nutritional quality. A contextual understanding of local agricultural dynamics is likewise necessary for optimizing intervention strategies, according to the study